Can medical practitioners rely on prediction models for COVID-19? A systematic review

Shamsoddin E.

Hospital Caseload Demand in the Presence of Interventions during the COVID-19 Pandemic: A Modeling Study

Hayashi K, Kayano T, Sorano S, Nishiura H.

Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter

Xue J, Chen J, Chen C, Zheng C, Li S, Zhu T.

Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City

Wilder B, Charpignon M, Killian JA, Ou HC, Mate A, Jabbari S, Perrault A, Desai AN, Tambe M, Majumder MS.

Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics

Katul GG, Mrad A, Bonetti S, Manoli G, Parolari AJ.

Correction: Modeling the Epidemiological Trend and Behavior of COVID-19 in Italy

Rovetta A, Bhagavathula AS, Castaldo L.

Modeling the Epidemiological Trend and Behavior of COVID-19 in Italy

Rovetta A, Bhagavathula AS, Castaldo L.

Covid-19: New restrictions to curb rising infection rate are set throughout UK

Iacobucci G.

Mathematical modeling and cellular automata simulation of infectious disease dynamics: Applications to the understanding of herd immunity

Mondal S, Mukherjee S, Bagchi B.

Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M.

Epidemic Landscape and Forecasting of SARS-CoV-2 in India

Rajendrakumar AL, Nair ATN, Nangia C, Chourasia PK, Chourasia MK, Syed MG, Nair AS, Nair AB, Koya MSF.

In silico modeling for quick prediction of inhibitory activity against 3CL(pro) enzyme in SARS CoV diseases

De P, Bhayye S, Kumar V, Roy K.

Modeling and forecasting the spread tendency of the COVID-19 in China

Sun D, Duan L, Xiong J, Wang D.

Closing editorial: Forecasting of epidemic spreading: lessons learned from the current covid-19 pandemic

Boccaletti S, Mindlin G, Ditto W, Atangana A.

Short-term forecasting of the coronavirus pandemic

Doornik JA, Castle JL, Hendry DF.

The CHASMS Conceptual Model of Cascading Disasters and Social Vulnerability: the COVID-19 Case Example

Thomas DSK, Jang S, Scandlyn J.

Mathematical models for devising the optimal SARS-CoV-2 strategy for eradication in China, South Korea, and Italy

Jiang S, Li Q, Li C, Liu S, He X, Wang T, Li H, Corpe C, Zhang X, Xu J, Wang J.

An epidemiological modelling approach for COVID-19 via data assimilation

Nadler P, Wang S, Arcucci R, Yang X, Guo Y.

Modeling the spread of COVID-19 in Germany: Early assessment and possible scenarios

Barbarossa MV, Fuhrmann J, Meinke JH, Krieg S, Varma HV, Castelletti N, Lippert T.

Modeling Reading Ability Gain in Kindergarten Children during COVID-19 School Closures

Bao X, Qu H, Zhang R, Hogan TP.

Current Challenges of Digital Health Interventions in Pakistan: Mixed Methods Analysis

Kazi AM, Qazi SA, Ahsan N, Khawaja S, Sameen F, Saqib M, Khan Mughal MA, Wajidali Z, Ali S, Ahmed RM, Kalimuddin H, Rauf Y, Mahmood F, Zafar S, Abbasi TA, Khoumbati KU, Abbasi MA, Stergioulas LK.

The challenge of COVID-19 low disease prevalence for artificial intelligence models: report of 1,610 patients

Quattrocchi CC, Mallio CA, Presti G, Beomonte Zobel B, Cardinale J, Iozzino M, Della Sala SW.

COVID-19 pandemics modeling with modified determinist SEIR, social distancing, and age stratification. The effect of vertical confinement and release in Brazil

Lyra W, do Nascimento JD Jr, Belkhiria J, de Almeida L, Chrispim PPM, de Andrade I.

Long-term forecasts of the COVID-19 epidemic: a dangerous idea

Martinez EZ, Aragon DC, Nunes AA.

Replicating and projecting the path of COVID-19 with a model-implied reproduction number

Buckman SR, Glick R, Lansing KJ, Petrosky-Nadeau N, Seitelman LM.

Prediction of daily COVID-19 cases in European countries using automatic ARIMA model

Awan TM, Aslam F.

Dynamics of COVID-19 mathematical model with stochastic perturbation

Zhang Z, Zeb A, Hussain S, Alzahrani E.

The Covid-19 outbreak in Spain. A simple dynamics model, some lessons, and a theoretical framework for control response

Guirao A.

Estimates of serial interval for COVID-19: A systematic review and meta-analysis

Rai B, Shukla A, Dwivedi LK.

A Bayesian approach for monitoring epidemics in presence of undetected cases

De Simone A, Piangerelli M.

Predicting the second wave of COVID-19 in Washtenaw County, MI

Renardy M, Kirschner D.

Mass Infection Analysis of COVID-19 Using the SEIRD Model in Daegu-Gyeongbuk of Korea from April to May, 2020

Bae TW, Kwon KK, Kim KH.

Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt

Amar LA, Taha AA, Mohamed MY.

Impact of mitigating interventions and temperature on the instantaneous reproduction number in the COVID-19 pandemic among 30 US metropolitan areas

Yu X.

School closure in response to epidemic outbreaks: Systems-based logic model of downstream impacts

Kneale D, O'Mara-Eves A, Rees R, Thomas J.

Forecasting incidences of COVID-19 using Box-Jenkins method for the period July 12-Septembert 11, 2020: A study on highly affected countries

Das RC.

Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic

Castillo O, Melin P.

A predictive model and country risk assessment for COVID-19: An application of the Limited Failure Population concept

Koutsellis T, Nikas A.

A non-central beta model to forecast and evaluate pandemics time series

Firmino PRA, de Sales JP, Gonçalves Júnior J, da Silva TA.

Epidemic model of COVID-19 outbreak by inducing behavioural response in population

Saha S, Samanta GP, Nieto JJ.

Forecasting for COVID-19 has failed

Ioannidis JPA, Cripps S, Tanner MA.

New approximations, and policy implications, from a delayed dynamic model of a fast pandemic

Vyasarayani CP, Chatterjee A.

Modeling Potential Autophagy Pathways in COVID-19 and Sarcoidosis

Calender A, Israel-Biet D, Valeyre D, Pacheco Y.

Modeling Return of the Epidemic: Impact of Population Structure, Asymptomatic Infection, Case Importation and Personal Contacts

Yu X.

Combined interventions to suppress R0 and border quarantine to contain COVID-19 in Taiwan

Chen YH, Fang CT.

Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework

Jia Q, Guo Y, Wang G, Barnes SJ.

An epidemiological model to aid decision-making for COVID-19 control in Sri Lanka

Ediriweera DS, de Silva NR, Malavige GN, de Silva HJ.

Four Challenges Associated With Current Mathematical Modeling Paradigm of Infectious Diseases and Call for a Shift

Chen S, Robinson P, Janies D, Dulin M.

Remodeling of the Immune Response With Aging: Immunosenescence and Its Potential Impact on COVID-19 Immune Response

Cunha LL, Perazzio SF, Azzi J, Cravedi P, Riella LV.

Particle modeling of the spreading of coronavirus disease (COVID-19)

De-Leon H, Pederiva F.

Mathematical modelling on diffusion and control of COVID-19

Veera Krishna M.

The basic reproduction number of the new coronavirus pandemic with mortality for India, the Syrian Arab Republic, the United States, Yemen, China, France, Nigeria and Russia with different rate of cases

Al-Raeei M.

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study

Shastri S, Singh K, Kumar S, Kour P, Mansotra V.

Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm

YeŞİlkanat CM.

Simulating the progression of the COVID-19 disease in Cameroon using SIR models

Nguemdjo U, Meno F, Dongfack A, Ventelou B.

Correction to: A machine learning forecasting model for COVID-19 pandemic in India

Sujatha R, Chatterjee JM, Hassanien AE.

KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response

Reese J, Unni D, Callahan TJ, Cappelletti L, Ravanmehr V, Carbon S, Fontana T, Blau H, Matentzoglu N, Harris NL, Munoz-Torres MC, Robinson PN, Joachimiak MP, Mungall CJ.

Modeling COVID-19 with Human Pluripotent Stem Cell-Derived Cells Reveals Synergistic Effects of Anti-inflammatory Macrophages with ACE2 Inhibition Against SARS-CoV-2

Duan F, Guo L, Yang L, Han Y, Thakur A, Nilsson-Payant BE, Wang P, Zhang Z, Ma CY, Zhou X, Han T, Zhang T, Wang X, Xu D, Duan X, Xiang J, Tse HF, Liao C, Luo W, Huang FP, Chen YW, Evans T, Schwartz RE, tenOever B, Ho DD, Chen S, Lian Q, Chen HJ.

Deep learning models for forecasting and analyzing the implications of COVID-19 spread on some commodities markets volatilities

Sadefo Kamdem J, Bandolo Essomba R, Njong Berinyuy J.

Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM

Shahid F, Zameer A, Muneeb M.

Bi-stability of SUDR+K model of epidemics and test kits applied to COVID-19

Zlatić V, Barjašić I, Kadović A, Štefančić H, Gabrielli A.

Assessment of the SARS-CoV-2 basic reproduction number, R (0), based on the early phase of COVID-19 outbreak in Italy

D'Arienzo M, Coniglio A.

Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China

Yang Q, Yi C, Vajdi A, Cohnstaedt LW, Wu H, Guo X, Scoglio CM.

Predictive modelling of COVID-19 confirmed cases in Nigeria

Ogundokun RO, Lukman AF, Kibria GBM, Awotunde JB, Aladeitan BB.

Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic

Abusam A, Abusam R, Al-Anzi B.

Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei

Prasse B, Achterberg MA, Ma L, Van Mieghem P.

Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran)

Mahdizadeh Gharakhanlou N, Hooshangi N.

On the role of governmental action and individual reaction on COVID-19 dynamics in South Africa: A mathematical modelling study

Mushayabasa S, Ngarakana-Gwasira ET, Mushanyu J.

Data analytics for novel coronavirus disease

Mondal MRH, Bharati S, Podder P, Podder P.

Potential of age distribution profiles for the prediction of COVID-19 infection origin in a patient group

Ahmad S.

Psychological flexibility and inflexibility as sources of resiliency and risk during a pandemic: Modeling the cascade of COVID-19 stress on family systems with a contextual behavioral science lens

Daks JS, Peltz JS, Rogge RD.

Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima

Arias Velásquez RM, Mejía Lara JV.

An age and space structured SIR model describing the Covid-19 pandemic

Colombo RM, Garavello M, Marcellini F, Rossi E.

A novel deterministic forecast model for COVID-19 epidemic based on a single ordinary integro-differential equation

Köhler-Rieper F, Röhl CHF, De Micheli E.

HACCP-based Cooperative Model for Smart Factory in South Korea

Kho JS, Jeong J.

Dynamics of a fractional order mathematical model for COVID-19 epidemic

Zhang Z, Zeb A, Egbelowo OF, Erturk VS.

Analysis of Caputo fractional-order model for COVID-19 with lockdown

Ahmed I, Baba IA, Yusuf A, Kumam P, Kumam W.

A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control

Shaikh AS, Shaikh IN, Nisar KS.

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks

Hazarika BB, Gupta D.

Forecasting of COVID19 per regions using ARIMA models and polynomial functions

Hernandez-Matamoros A, Fujita H, Hayashi T, Perez-Meana H.

The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy

Chen M, Li M, Hao Y, Liu Z, Hu L, Wang L.

On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy

Alberti T, Faranda D.

Optimal control of a fractional order model for granular SEIR epidemic with uncertainty

Dong NP, Long HV, Khastan A.

Simulation model of security control lane operation in the state of the COVID-19 epidemic

Kierzkowski A, Kisiel T.

Neural network powered COVID-19 spread forecasting model

Wieczorek M, Siłka J, Woźniak M.

Forecasting the patterns of COVID-19 and causal impacts of lockdown in top five affected countries using Bayesian Structural Time Series Models

Feroze N.

Modelling and forecasting of new cases, deaths and recover cases of COVID-19 by using Vector Autoregressive model in Pakistan

Khan F, Saeed A, Ali S.

Probabilistic approximation of effective reproduction number of COVID-19 using daily death statistics

Na J, Tibebu H, De Silva V, Kondoz A, Caine M.

On forecasting the spread of the COVID-19 in Iran: The second wave

Ghanbari B.

Mathematical model of Ebola and Covid-19 with fractional differential operators: Non-Markovian process and class for virus pathogen in the environment

Zhang Z, Jain S.

A mathematical model for COVID-19 transmission dynamics with a case study of India

Samui P, Mondal J, Khajanchi S.

On the dynamical modeling of COVID-19 involving Atangana-Baleanu fractional derivative and based on Daubechies framelet simulations

Mohammad M, Trounev A.

An SEIARD epidemic model for COVID-19 in Mexico: Mathematical analysis and state-level forecast

Avila-Ponce de León U, Pérez ÁGC, Avila-Vales E.

Simplified model of Covid-19 epidemic prognosis under quarantine and estimation of quarantine effectiveness

Džiugys A, Bieliūnas M, Skarbalius G, Misiulis E, Navakas R.

A minimal model of hospital patients' dynamics in COVID-19

Papo D, Righetti M, Fadiga L, Biscarini F, Zanin M.

Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models

Maleki M, Mahmoudi MR, Heydari MH, Pho KH.

Corrigendum to a novel covid-19 mathematical model with fractional derivatives: Singular and nonsingular kernels [Chaos Solitons & Fractals 139 (2020) 110060]

Zhang Z.

A numerical simulation of fractional order mathematical modeling of COVID-19 disease in case of Wuhan China

Yadav RP, Renu Verma.

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

Zeroual A, Harrou F, Dairi A, Sun Y.

Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries

Salgotra R, Gandomi M, Gandomi AH.

A discussion on some simple epidemiological models

Najnudel J, Yen JY.

A stretched logistic equation for pandemic spreading

Consolini G, Materassi M.

The susceptible-unidentified infected-confirmed (SUC) epidemic model for estimating unidentified infected population for COVID-19

Lee C, Li Y, Kim J.

Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic

Contreras S, Biron-Lattes JP, Villavicencio HA, Medina-Ortiz D, Llanovarced-Kawles N, Olivera-Nappa Á.

Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries

Singh S, Parmar KS, Makkhan SJS, Kaur J, Peshoria S, Kumar J.

Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study

Ullah S, Khan MA.

A novel covid-19 mathematical model with fractional derivatives: Singular and nonsingular kernels

Zhang Z.

Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics

Wang P, Zheng X, Li J, Zhu B.

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

Peng Y, Nagata MH.

Optimal Control Design of Impulsive SQEIAR Epidemic Models with Application to COVID-19

Abbasi Z, Zamani I, Mehra AHA, Shafieirad M, Ibeas A.

Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA)

Behnood A, Mohammadi Golafshani E, Hosseini SM.

Modeling and forecasting the COVID-19 pandemic in India

Sarkar K, Khajanchi S, Nieto JJ.

A novel mathematical approach of COVID-19 with non-singular fractional derivative

Kumar S, Cao J, Abdel-Aty M.

Forecasting COVID-19 pandemic: A data-driven analysis

Nabi KN.

A new modelling of the COVID 19 pandemic

Soukhovolsky V, Kovalev A, Pitt A, Kessel B.

Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic model

Din A, Khan A, Baleanu D.

Dynamic analysis of a mathematical model with health care capacity for COVID-19 pandemic

Çakan S.

Analysis of a mathematical model for COVID-19 population dynamics in Lagos, Nigeria

Okuonghae D, Omame A.

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

da Silva RG, Ribeiro MHDM, Mariani VC, Coelho LDS.

Epidemic in networked population with recurrent mobility pattern

Feng L, Zhao Q, Zhou C.

Evaluation and prediction of COVID-19 in India: A case study of worst hit states

Rafiq D, Suhail SA, Bazaz MA.

Going by the numbers : Learning and modeling COVID-19 disease dynamics

Basu S, Campbell RH.

The first 100 days: Modeling the evolution of the COVID-19 pandemic

Kaxiras E, Neofotistos G, Angelaki E.

Quantifying the effects of quarantine using an IBM SEIR model on scalefree networks

Marquioni VM, de Aguiar MAM.

Applicability of time fractional derivative models for simulating the dynamics and mitigation scenarios of COVID-19

Zhang Y, Yu X, Sun H, Tick GR, Wei W, Jin B.

Modeling COVID-19 epidemic in Heilongjiang province, China

Sun T, Wang Y.

Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model

≈ûahin U, ≈ûahin T.

Unravelling the myths of R (0) in controlling the dynamics of COVID-19 outbreak: A modelling perspective

Mohd MH, Sulayman F.

Insights into the dynamics and control of COVID-19 infection rates

Willis MJ, Díaz VHG, Prado-Rubio OA, von Stosch M.

Reflecting on the safety zoo: Developing an integrated pandemics barrier model using early lessons from the Covid-19 pandemic

Lindhout P, Reniers G.

COVID-19 in Italy and extreme data mining

Buscema PM, Della Torre F, Breda M, Massini G, Grossi E.

COVID-19 and SARS-CoV-2. Modeling the present, looking at the future

Estrada E.

A Review of Multi-Compartment Infectious Disease Models

Tang L, Zhou Y, Wang L, Purkayastha S, Zhang L, He J, Wang F, Song PX.

Statistical Implementations of Agent-Based Demographic Models

Hooten M, Wikle C, Schwob M.

Predicting the evolution of the COVID-19 epidemic with the A-SIR model: Lombardy, Italy and S√£o Paulo state, Brazil

Neves AGM, Guerrero G.

Inversion of a SIR-based model: A critical analysis about the application to COVID-19 epidemic

Comunian A, Gaburro R, Giudici M.

Hamiltonian structure of compartmental epidemiological models

Ballesteros A, Blasco A, Gutierrez-Sagredo I.

Size and timescale of epidemics in the SIR framework

Cadoni M, Gaeta G.

COVID-19 Pandemic Imperils Weather Forecast

Chen Y.

The dynamic effects of infectious disease outbreaks: The case of pandemic influenza and human coronavirus

Verikios G.

Azafluorene derivatives as inhibitors of SARS CoV-2 RdRp: Synthesis, physicochemical, quantum chemical, modeling and molecular docking analysis

Venkateshan M, Muthu M, Suresh J, Ranjith Kumar R.

Dynamic causal modelling of COVID-19

Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizeau J, Hulme OJ, Billig AJ, Litvak V, Moran RJ, Price CJ, Lambert C.

COVID-19 epidemic monitoring after non-pharmaceutical interventions: the use of time-varying reproduction number in a country with a large migrant population

Al Wahaibi A, Al Manji A, Al Maani A, Al Rawahi B, Al Harthy K, Alyaquobi F, Al-Jardani A, Petersen E, Al-Abri S.

Blacks/African American Communities are at Highest Risk of COVID-19: Spatial Modeling of New York City ZIP Code-Level Testing Results

DiMaggio C, Klein M, Berry C, Frangos S.

The Model for Early COvid-19 Recognition (MECOR) Score: A Proof-of-Concept for a Simple and Low-Cost Tool to Recognize a Possible Viral Etiology in Community-Acquired Pneumonia Patients during COVID-19 Outbreak

Sambataro G, Giuffrè M, Sambataro D, Palermo A, Vignigni G, Cesareo R, Crimi N, Torrisi SE, Vancheri C, Malatino L, Colaci M, Del Papa N, Pignataro F, Roman-Pognuz E, Fabbiani M, Montagnani F, Cassol C, Cavagna L, Zuccaro V, Zerbato V, Maurel C, Luzzati R, Di Bella S.

Effects of Data Aggregation on Time Series Analysis of Seasonal Infections

Alarcon Falconi TM, Estrella B, Sempértegui F, Naumova EN.

Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study

Grassly NC, Pons-Salort M, Parker EPK, White PJ, Ferguson NM; Imperial College COVID-19 Response Team.

Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures

Bilinski A, Mostashari F, Salomon JA.

Rapid Ventilator Splitting During COVID-19 Pandemic Using 3D Printed Devices and Numerical Modeling of 200 Million Patient Specific Air Flow Scenarios

Bishawi M, Kaplan M, Chidyagwai S, Cappiello J, Cherry A, MacLeod D, Gall K, Evans N, Kim M, Shaha R, Whittle J, Hollidge M, Truskey G, Randles A.

A predictive model of the temperature-dependent inactivation of coronaviruses

Yap TF, Liu Z, Shveda RA, Preston DJ.

Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization

Abry P, Pustelnik N, Roux S, Jensen P, Flandrin P, Gribonval R, Lucas CG, Guichard É, Borgnat P, Garnier N.

Reply to "COVID-19 prediction models should adhere to methodological and reporting standards"

Wu G, Woodruff HC, Chatterjee A, Lambin P.

Effects of Latency on Estimates of the COVID-19 Replication Number

Sadun L.

COVID-19 Forecasts for Cuba Using Logistic Regression and Gompertz Curves

Medina-Mendieta JF, Cortés-Cortés M, Cortés-Iglesias M.

Forecast predictions for the COVID-19 pandemic in Brazil by statistical modeling using the Weibull distribution for daily new cases and deaths

Moreau VH.

Mayo Clinic Strategies for COVID-19: Analytics and Prediction Modeling During the COVID-19 Pandemic

Challener DW, Dowdy SC, O'Horo JC.

Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States

Hohl A, Delmelle EM, Desjardins MR, Lan Y.

Health information systems amid COVID-19 outbreak: Lessons from China

Liu C.

COVID-19 Intubation Safety: A Multidisciplinary, Rapid-Cycle Model of Improvement

Tronnier A, Mulcahy CF, Pierce A, Benjenk I, Sherman M, Heinz ER, Honeychurch S, Ho G, Talton K, Yamane D.

LATENT//Missing: On Missing Values, Narrative Power, and Data Politics in Discourse of COVID-19

Petteway RJ.

Integrative Modelling of Quantitative Plasma Lipoprotein, Metabolic and Amino Acid Data Reveals a Multi-organ Pathological Signature of SARS-CoV-2 Infection

Kimhofer T, Lodge S, Whiley L, Gray N, Loo RL, Lawler NG, Nitschke P, Bong SH, Morrison DL, Begum S, Richards T, Yeap BB, Smith C, Smith KCG, Holmes E, Nicholson JK.

A new era of epidemiology: Digital epidemiology for investigating the novel coronaviral disease (COVID-19) outbreak in China

He Z, Zhang CJP, Huang J, Zhai J, Zhou S, Chiu JW, Sheng J, Tsang W, Akinwunmi BO, Ming WK.

Using Magnet Model Components at a COVID-19-Positive Field Hospital

Erickson JI, Johnson SH, Blanchfield BB.

Predictors of Health Insurance, Life Insurance, and Retirement Savings Among NYC's Immigrant Taxi and For-Hire Vehicle Drivers

Gany F, Mirpuri S, Kim SY, Narang B, Ramirez J, Roberts-Eversley N, Ocampo A, Aragones A, Leng J.

The Costs of an Expanded Screening Criteria for COVID-19: A Modelling Study

Lim JT, Dickens BL, Cook AR, Khoo AL, Dan YY, Fisher DA, Tambyah PA, Chai LYA.

Predictions for the COVID-19 pandemic in Germany using the modified Bateman SIZ model‚Ä©

Braun P, Haffner S, Aguirre Davila L, Braun J, Woodcock BG.

In silico molecular investigations of pyridine N-Oxide compounds as potential inhibitors of SARS-CoV-2: 3D QSAR, molecular docking modeling, and ADMET screening

Ghaleb A, Aouidate A, Ayouchia HBE, Aarjane M, Anane H, Stiriba SE.

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger RP, McCoy A, Vincent JL, Green-Saxena A, Barnes G, Hoffman J, Calvert J, Pellegrini E, Das R.

Big Data Analytics + Virtual Clinical Semantic Network (vCSN): An Approach to Addressing the Increasing Clinical Nuances and Organ Involvement of COVID-19

Rahman F, Meyer R, Kriak J, Goldblatt S, Slepian MJ.

COVID-19 Prediction Models and Unexploited Data

Santosh KC.

The effect of school closures and reopening strategies on COVID-19 infection dynamics in the San Francisco Bay Area: a cross-sectional survey and modeling analysis

Head JR, Andrejko K, Cheng Q, Collender PA, Phillips S, Boser A, Heaney AK, Hoover CM, Wu SL, Northrup GR, Click K, Harrison R, Lewnard JA, Remais JV.

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Shamout FE, Shen Y, Wu N, Kaku A, Park J, Makino T, Jastrzƒôbski S, Wang D, Zhang B, Dogra S, Cao M, Razavian N, Kudlowitz D, Azour L, Moore W, Lui YW, Aphinyanaphongs Y, Fernandez-Granda C, Geras KJ.

Public Perceptions and Attitudes Towards COVID-19 Non-Pharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Doogan C, Buntine W, Linger H, Brunt S.

Big Data Analysis of Media Reports Related to COVID-19

Jung JH, Shin JI.

Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19

Jehi L, Ji X, Milinovich A, Erzurum S, Merlino A, Gordon S, Young JB, Kattan MW.

A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics

Kosmidis K, Macheras P.

Individual model forecasts can be misleading, but together they are useful

Buckee CO, Johansson MA.

Optimal control on a mathematical model to pattern the progression of coronavirus disease 2019 (COVID-19) in Indonesia

Sasmita NR, Ikhwan M, Suyanto S, Chongsuvivatwong V.

Projections for novel coronavirus (COVID-19) and evaluation of epidemic response strategies for India

Patrikar S, Poojary D, Basannar DR, Faujdar DS, Kunte R.

Comparative infection modeling and control of COVID-19 transmission patterns in China, South Korea, Italy and Iran

He J, Chen G, Jiang Y, Jin R, Shortridge A, Agusti S, He M, Wu J, Duarte CM, Christakos G.

The effect of preventing subclinical transmission on the containment of COVID-19: Mathematical modeling and experience in Taiwan

Tsou HH, Cheng YC, Yuan HY, Hsu YT, Wu HY, Lee FJ, Hsiung CA, Chen WJ, Sytwu HK, Wu SI, Shih SM, Wen TH, Kuo SC.

Modeling the viral dynamics of SARS-CoV-2 infection

Wang S, Pan Y, Wang Q, Miao H, Brown AN, Rong L.

Modified Scoring Method for COVID-19 Pneumonia

Lyu G, Zhang Y, Wang Z.

Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests

Hartnack S, Eusebi P, Kostoulas P.

Using a real-world network to model localized COVID-19 control strategies

Firth JA, Hellewell J, Klepac P, Kissler S; CMMID COVID-19 Working Group, Kucharski AJ, Spurgin LG.

Physiologically-Based Pharmacokinetic Modeling to Predict the Clinical Efficacy of the Coadministration of Lopinavir and Ritonavir against SARS-CoV-2

Thakur A, Tan SPF, Chan JCY.

Massive-scale biological activity-based modeling identifies novel antiviral leads against SARS-CoV-2

Huang R, Xu M, Zhu H, Chen CZ, Lee EM, He S, Shamim K, Bougie D, Huang W, Hall MD, Lo D, Simeonov A, Austin CP, Qiu X, Tang H, Zheng W.

Generalized logistic growth modeling of the COVID-19 pandemic in Asia

Aviv-Sharon E, Aharoni A.

An evaluation of COVID-19 in Italy: A data-driven modeling analysis

Ding Y, Gao L.

The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

Hozhabri H, Piceci Sparascio F, Sohrabi H, Mousavifar L, Roy R, Scribano D, De Luca A, Ambrosi C, Sarshar M.

COVID-19 in India: State-wise Analysis and Prediction

Ghosh P, Ghosh R, Chakraborty B.

Modeling the transmission dynamics of the COVID-19 Pandemic in South Africa

Garba SM, Lubuma JM, Tsanou B.

Susceptible-Infectious-Recovered (SIR) model based forecasting of COVID-19 outbreak in Bangladesh

Talukder A.

Visualizing the dynamics of COVID-19 modeling with dental students

Laurence BE, Fryer CE, Sonnier J, Taylor-Bishop D.

Relationship of George Floyd protests to increases in COVID-19 cases using event study methodology

Valentine R, Valentine D, Valentine JL.

Forecasting the outcome and estimating the epidemic model parameters from the fatality time series in COVID-19 outbreaks

Vattay G.

ARIMA modelling & forecasting of COVID-19 in top five affected countries

Sahai AK, Rath N, Sood V, Singh MP.

Is Nigeria really on top of COVID-19? Message from effective reproduction number

Adekunle AI, Adegboye OA, Gayawan E, McBryde ES.

Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2

Fokas AS, Dikaios N, Kastis GA.

Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease

Joshi T, Joshi T, Pundir H, Sharma P, Mathpal S, Chandra S.

Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India

Khajanchi S, Sarkar K.

Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models

Ilie OD, Cojocariu RO, Ciobica A, Timofte SI, Mavroudis I, Doroftei B.

COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process

Hosseini E, Ghafoor K, Sadiq A, Guizani M, Emrouznejad A.

Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models

Bridge J, Meng Y, Zhao Y, Du Y, Zhao M, Sun R, Zheng Y.

Deep bidirectional classification model for COVID-19 disease infected patients

Pathak Y, Shukla PK, Arya KV.

A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 with Region-Specific Policies

Kuzdeuov A, Baimukashev D, Karabay A, Ibragimov B, Mirzakhmetov A, Nurpeiissov M, Lewis M, Varol HA.

Exploring the Growth of COVID-19 Cases using Exponential Modelling Across 42 Countries and Predicting Signs of Early Containment using Machine Learning

Kasilingam D, Prabhakaran SPS, Dinesh Kumar R, Rajagopal V, Santhosh Kumar T, Soundararaj A.

Statistical issues in the development a COVID-19 prediction models

Collins GS, Wilkinson J.

Inpatients with brain damage, impaired airways and severely restricted daily activities have an increased infection rate during the COVID-19 pandemic: a single-center retrospective analysis from Wuhan

Han X, Xia N, Chen Z, Pan C, Huang X.

Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification

Lin YT, Neumann J, Miller EF, Posner RG, Mallela A, Stafa C, Ray J, Thakur G, Chinthavali S, Hlavacek WS.

Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification

Lin YT, Neumann J, Miller E, Posner RG, Mallela A, Safta C, Ray J, Thakur G, Chinthavali S, Hlavacek WS.

[Estimating the distribution of COVID-19 incubation period by interval-censored data estimation method]

Du ZC, Gu J, Li JH, Lin X, Wang Y, Chen L, Hao YT.

Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis

Oztig LI, Askin OE.

[Inference of start time of resurgent COVID-19 epidemic in Beijing with SEIR dynamics model and evaluation of control measure effect]

Wei YY, Guan JX, Zhao Y, Shen SP, Chen F.

A data-driven model to describe and forecast the dynamics of COVID-19 transmission

Paiva HM, Afonso RJM, de Oliveira IL, Garcia GF.

Prognostic modelling of COVID-19 using artificial intelligence in a UK population

Abdulaal A, Patel A, Charani E, Denny S, Mughal N, Moore L.

Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies

Canabarro A, Tenório E, Martins R, Martins L, Brito S, Chaves R.

Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models

Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M.

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

Xie W, Jacobs C, Charbonnier JP, van Ginneken B.

From the index case to global spread: the global mobility based modelling of the COVID-19 pandemic implies higher infection rate and lower detection ratio than current estimates

Siwiak M, Szczesny P, Siwiak M.

Modeling consent in the time of COVID-19

Knoppers BM, Beauvais MJS, Joly Y, Zawati MH, Rousseau S, Chassé M, Mooser V.

Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study

Melo GC, Duprat IP, Ara√∫jo KCGM, Fischer FM, Ara√∫jo Neto RA.

Mathematical models for COVID-19: applications, limitations, and potentials

Wang J.

Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies

Wang Q, Xie S, Wang Y, Zeng D.

Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs

Osborne TF, Veigulis ZP, Arreola DM, Röösli E, Curtin CM.

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

Martínez-Álvarez F, Asencio-Cortés G, Torres JF, Gutiérrez-Avilés D, Melgar-García L, Pérez-Chacón R, Rubio-Escudero C, Riquelme JC, Troncoso A.

Consistency and reliability of COVID-19 projection models as a means to save lives

Sen-Crowe B, McKenney M, Elkbuli A.

PEEP/ FIO2 ARDSNet Scale Grouping of a Single Ventilator for Two Patients: Modeling Tidal Volume Response

Kheyfets VO, Lammers SR, Wagner J, Bartels K, Piccoli J, Smith BJ.

A Structural Equation Model to Examine the Clinical Features of Mild-to-Moderate Covid-19: A Multicenter Italian Study

Barillari MR, Bastiani L, Lechien JR, Mannelli G, Molteni G, Cantarella G, Coppola N, Costa G, Trecca EMC, Grillo C, La Mantia I, Chiesa-Estomba CM, Vicini C, Saussez S, Nacci A, Cammaroto G.

Simulating the effect of school closure during COVID-19 outbreaks in Ontario, Canada

Abdollahi E, Haworth-Brockman M, Keynan Y, Langley JM, Moghadas SM.

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

Sedik A, Iliyasu AM, Abd El-Rahiem B, Abdel Samea ME, Abdel-Raheem A, Hammad M, Peng J, Abd El-Samie FE, Abd El-Latif AA.

Moving Average Based Index for Judging the Peak of the COVID-19 Epidemic

He Y, Wang X, He H, Zhai J, Wang B.

The Infection Rate of the Coronavirus Disease 2019 (COVID-19) in Wuhan, China: a Combined Analysis of Population Samples

Qu HQ, Cheng ZJ, Duan Z, Tian L, Hakonarson H.

Modeling the effect of area deprivation on COVID-19 incidences: a study of Chennai megacity, India

Das A, Ghosh S, Das K, Basu T, Das M, Dutta I.

Population-based Estimates for High Risk of Severe COVID-19 Disease due to Age and Underlying Health Conditions

Laires PA, Nunes C.

Modeling strict age-targeted mitigation strategies for COVID-19

Chikina M, Pegden W.

Remodeling Point-of-care Ultrasound Education in the Era of COVID-19

Goldsmith AJ, Eke OF, Alhassan Al Saud A, Al Mulhim A, Kharasch S, Huang C, Liteplo AS, Shokoohi H.

Reviewing COVID-19 Modelling amidst Recent United States Protests

Fasehun LO.

Estimation of the Hidden Population with COVID-19 Disease

Soltanian AR, Bashirian S, Basti SA, Karami M, Ostovar A, Khazaei S.

COVID-19 prediction models should adhere to methodological and reporting standards

Collins GS, van Smeden M, Riley RD.

SEIR model for COVID-19 dynamics incorporating the environment and social distancing

Mwalili S, Kimathi M, Ojiambo V, Gathungu D, Mbogo R.

Why COVID-19 models should incorporate the network of social interactions

Herrmann HA, Schwartz JM.

Initiation of Antiviral Treatment in SARS-CoV2: Modeling Viral Dynamics and Drug Properties

Rosenbloom DS, Zhao P, Sinha V.

A model for Shared Clinical Care in COVID-19 crisis

Gillis K, Van Bogaert P, Servotte H, Lievens S, Cuvelier H, Nieberding P, Saegeman V.

Mathematical modelling on phase based transmissibility of Coronavirus

Krishna MV, Prakash J.

Social Distancing Metrics and Estimates of SARS-CoV-2 Transmission Rates: Associations Between Mobile Telephone Data Tracking and R

Morley CP, Anderson KB, Shaw J, Stewart T, Thomas SJ, Wang D.

Update to living systematic review on prediction models for diagnosis and prognosis of covid-19

Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak

Park SW, Bolker BM, Champredon D, Earn DJD, Li M, Weitz JS, Grenfell BT, Dushoff J.

Model-Informed Drug Repurposing: Viral Kinetic Modeling to Prioritize Rational Drug Combinations for COVID-19

Dodds MG, Krishna R, Goncalves A, Rayner CR.

Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic

Hong HG, Li Y.

Multiple epidemic wave model of the Covid-19 pandemic

Kaxiras E, Neofotistos GG.

Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

Overton CE, Stage HB, Ahmad S, Curran-Sebastian J, Dark P, Das R, Fearon E, Felton T, Fyles M, Gent N, Hall I, House T, Lewkowicz H, Pang X, Pellis L, Sawko R, Ustianowski A, Vekaria B, Webb L.

Bidirectional impact of imperfect mask use on reproduction number of COVID-19: A next generation matrix approach

Fisman DN, Greer AL, Tuite AR.

Role of modelling in COVID-19 policy development

McBryde ES, Meehan MT, Adegboye OA, Adekunle AI, Caldwell JM, Pak A, Rojas DP, Williams BM, Trauer JM.

Mathematical Model for Coronavirus Disease 2019 (COVID-19) Containing Isolation Class

Zeb A, Alzahrani E, Erturk VS, Zaman G.

A mathematical model to guide the re-opening of economies during the COVID-19 pandemic

Noorbhai H.

Mathematical model describing CoViD-19 in S√£o Paulo State, Brazil - Evaluating isolation as control mechanism and forecasting epidemiological scenarios of release

Yang HM, Lombardi Junior LP, Castro FFM, Yang AC.

[Using Markov Chain Monte Carlo methods to estimate the age-specific case fatality rate of COVID-19]

Du ZC, Hao YT, Wei YY, Zhang ZJ, Shen SP, Zhao Y, Tang JL, Chen F, Jiang QW, Li LM.

Data-driven modelling and prediction of COVID-19 infection in India and correlation analysis of the virus transmission with socio-economic factors

Kumar A, Rani P, Kumar R, Sharma V, Purohit SR.

Modelling insights into the COVID-19 pandemic

Meehan MT, Rojas DP, Adekunle AI, Adegboye OA, Caldwell JM, Turek E, Williams BM, Marais BJ, Trauer JM, McBryde ES.

[Predictive models of the COVID-19 epidemic in Spain with Gompertz curves]

S√°nchez-Villegas P, Daponte Codina A.

Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach

Pereira IG, Guerin JM, Silva Júnior AG, Garcia GS, Piscitelli P, Miani A, Distante C, Gonçalves LMG.

High altitude reduces infection rate of COVID-19 but not case-fatality rate

Segovia-Juarez J, Castagnetto JM, Gonzales GF.

Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study

Pinotti F, Di Domenico L, Ortega E, Mancastroppa M, Pullano G, Valdano E, Boëlle PY, Poletto C, Colizza V.

Correction to: Strengths and limitations of mathematical models in pandemicsthe case of COVID-19 in Chile

Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China

Li Y, Wang LW, Peng ZH, Shen HB.

Development and validation of a risk factor-based system to predict short-term survival in adult hospitalized patients with COVID-19: a multicenter, retrospective, cohort study

Zhang S, Guo M, Duan L, Wu F, Hu G, Wang Z, Huang Q, Liao T, Xu J, Ma Y, Lv Z, Xiao W, Zhao Z, Tan X, Meng D, Zhang S, Zhou E, Yin Z, Geng W, Wang X, Zhang J, Chen J, Zhang Y, Jin Y.

Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa

Musa SS, Zhao S, Wang MH, Habib AG, Mustapha UT, He D.

Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries

Karnakov P, Arampatzis G, Kičić I, Wermelinger F, Wälchli D, Papadimitriou C, Koumoutsakos P.

Forecasting efforts from prior epidemics and COVID-19 predictions

Nadella P, Swaminathan A, Subramanian SV.

Societal heterogeneity contributes to complex dynamic patterns of the COVID-19 pandemics: insights from a novel Stochastic Heterogeneous Epidemic Model (SHEM)

Maltsev AV, Stern M.

Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule

Reimer JR, Ahmed SM, Brintz B, Shah RU, Keegan LT, Ferrari MJ, Leung DT.

Predicting the second wave of COVID-19 in Washtenaw County, MI

Renardy M, Kirschner DE.

The reproduction number of COVID-19 and its correlation with public health interventions

Linka K, Peirlinck M, Kuhl E.

Modelling scenarios of the epidemic of COVID-19 in Canada

Ogden NH, Fazil A, Arino J, Berthiaume P, Fisman DN, Greer AL, Ludwig A, Ng V, Tuite AR, Turgeon P, Waddell LA, Wu J.

Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil

Peixoto PS, Marcondes D, Peixoto C, Oliva SM.

Computer-aided screening for potential TMPRSS2 inhibitors: a combination of pharmacophore modeling, molecular docking and molecular dynamics simulation approaches

Idris MO, Yekeen AA, Alakanse OS, Durojaye OA.

COVID-19 Trends and Forecast in the Eastern Mediterranean Region With a Particular Focus on Pakistan

Dil S, Dil N, Maken ZH.

Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling

Zuo M, Khosa SK, Ahmad Z, Almaspoor Z.

SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity

Phipps WS, SoRelle JA, Li QZ, Mahimainathan L, Araj E, Markantonis J, Lacelle C, Balani J, Parikh H, Solow EB, Karp DR, Sarode R, Muthukumar A.

Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic

Anirudh A.

Pushing past the tipping points in containment trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics: A simple arithmetic rationale for crushing the curve instead of merely flattening it

Killeen GF.

A stochastic agent-based model of the SARS-CoV-2 epidemic in France

Hoertel N, Blachier M, Blanco C, Olfson M, Massetti M, Rico MS, Limosin F, Leleu H.

Covid-19: UK must prepare now for winter peak or risk many more deaths, scientists warn

Iacobucci G.

Delhi prepares to hit 500‚Äâ000 covid-19 cases

Shepherd A.

Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining

Li D, Chaudhary H, Zhang Z.

Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection

Luo Y, Mao L, Yuan X, Xue Y, Lin Q, Tang G, Song H, Wang F, Sun Z.

Time variant reproductive number of COVID-19 in Seoul, Korea

Moon SG, Kim YK, Son WS, Kim JH, Choi J, Na BJ, Park B.

Modeling the Novel Coronavirus (SARS-CoV-2) Outbreak in Sicily, Italy

Maugeri A, Barchitta M, Battiato S, Agodi A.

Investigating the Trajectory of the COVID-19 Outbreak in Milwaukee County and Projected Effects of Relaxed Distancing

Bemanian A, Ahn KW, O'Brien M, Rausch DJ, Weston B, Beyer KMM.

A pitfall in estimating the e ective reproductive number Rt for COVID-19

Petermann M, Wyler D.

Forecasting the effect of social distancing on COVID-19 autumn-winter outbreak in the metropolitan area of Buenos Aires

Borracci RA, Giglio ND.

COVID-19: Getting ahead of the epidemic curve by early implementation of social distancing

Preiser W, Van Zyl G, Dramowski A.

Statistical analysis and visualization of the potential cases of pandemic coronavirus

Muthusami R, Saritha K.

Risk-prediction model for COVID-19 infection in dialysis patients

Yasri S, Wiwanitkit V.

An approximation-based approach for periodic estimation of effective reproduction number: a tool for decision-making in the context of coronavirus disease 2019 (COVID-19) outbreak

Das A.

Association of Padua prediction score with in-hospital prognosis in COVID-19 patients

Zeng DX, Xu JL, Mao QX, Liu R, Zhang WY, Qian HY, Xu L.

Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling

Rockett RJ, Arnott A, Lam C, Sadsad R, Timms V, Gray KA, Eden JS, Chang S, Gall M, Draper J, Sim EM, Bachmann NL, Carter I, Basile K, Byun R, O'Sullivan MV, Chen SC, Maddocks S, Sorrell TC, Dwyer DE, Holmes EC, Kok J, Prokopenko M, Sintchenko V.

Covid-19: England must aim for "zero tolerance" to avoid 27 000 predicted deaths, experts say

Mahase E.

Predicting covid-19 resurgence: do it locally

Chiolero A.

Clinical characteristics and predictors of survival in adults with coronavirus disease 2019 receiving tocilizumab

Morrison AR, Johnson JM, Griebe KM, Jones MC, Stine JJ, Hencken LN, To L, Bianchini ML, Vahia AT, Swiderek J, Ramesh MS, Peters MA, Smith ZR.

COVID-19 pandemic predictions using the modified Bateman SIZ model and observational data for Heidelberg, Germany: Effect of vaccination with a SARS-CoV-2 vaccine, coronavirus testing and application of the Corona-Warn-App

Braun P, Haffner S, Woodcock BG.

CoVid-19 Pandemic Trend Modeling and Analysis to Support Resilience Decision-Making

Duffey RB, Zio E.

Development and validation of the HNC-LL score for predicting the severity of coronavirus disease 2019

Xiao LS, Zhang WF, Gong MC, Zhang YP, Chen LY, Zhu HB, Hu CY, Kang P, Liu L, Zhu H.

Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment

Sun J, Zhuang Z, Zheng J, Li K, Wong RL, Liu D, Huang J, He J, Zhu A, Zhao J, Li X, Xi Y, Chen R, Alshukairi AN, Chen Z, Zhang Z, Chen C, Huang X, Li F, Lai X, Chen D, Wen L, Zhuo J, Zhang Y, Wang Y, Huang S, Dai J, Shi Y, Zheng K, Leidinger MR, Chen J, Li Y, Zhong N, Meyerholz DK, McCray PB Jr, Perlman S, Zhao J.

Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19

Zheng Y, Xiao A, Yu X, Zhao Y, Lu Y, Li X, Mei N, She D, Wang D, Geng D, Yin B.

COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care

Wood RM, McWilliams CJ, Thomas MJ, Bourdeaux CP, Vasilakis C.

Forecasting of COVID-19: transmission models and beyond

Zhao Y, Wei Y, Chen F.

A COVID-19 model

Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves

Pinto AS, Santos J√∫nior EGD, Rodrigues CA, Nunes PCM, Cruz LAD, Costa MGR, Rocha MODC.

Evidence for structural protein damage and membrane lipid remodeling in red blood cells from COVID-19 patients

Thomas T, Stefanoni D, Dzieciatkowska M, Issaian A, Nemkov T, Hill RC, Francis RO, Hudson KE, Buehler PW, Zimring JC, Hod EA, Hansen KC, Spitalnik SL, D'Alessandro A.

SARS-CoV-2 infection of primary human lung epithelium for COVID-19 modeling and drug discovery

Mulay A, Konda B, Garcia G, Yao C, Beil S, Sen C, Purkayastha A, Kolls JK, Pociask DA, Pessina P, Sainz de Aja J, Garcia-de-Alba C, Kim CF, Gomperts B, Arumugaswami V, Stripp BR.

Coronavirus pandemic: applying a whole-of-society model for the whole-of-the world

Dubb SS.

Application of Ordinal Logistic Regression Analysis to Identify the Determinants of Illness Severity of COVID-19 in China

Xu K, Zhou M, Yang D, Ling Y, Liu K, Bai T, Cheng Z, Li J.

Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study

Zu J, Li ML, Li ZF, Shen MW, Xiao YN, Ji FP.

[Epidemiology and Covid-19 in Italy. Accessing and sharing data to foster collaboration]

Forastiere F, Micheli A, Salmaso S, Vineis P.

Prediction of the Number of Patients Infected with COVID-19 Based on Rolling Grey Verhulst Models

Zhao YF, Shou MH, Wang ZX.

Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia

Alboaneen D, Pranggono B, Alshammari D, Alqahtani N, Alyaffer R.

Modeling and Forecasting the COVID-19 Temporal Spread in Greece: An Exploratory Approach based on Complex Network Defined Splines

Demertzis K, Tsiotas D, Magafas L.

Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China

Deng Y, You C, Liu Y, Qin J, Zhou XH.

Spread and Impact of COVID-19 in China: A Systematic Review and Synthesis of Predictions From Transmission-Dynamic Models

Lin YF, Duan Q, Zhou Y, Yuan T, Li P, Fitzpatrick T, Fu L, Feng A, Luo G, Zhan Y, Liang B, Fan S, Lu Y, Wang B, Wang Z, Zhao H, Gao Y, Li M, Chen D, Chen X, Ao Y, Li L, Cai W, Du X, Shu Y, Zou H.

Modeling the role of respiratory droplets in Covid-19 type pandemics

Chaudhuri S, Basu S, Kabi P, Unni VR, Saha A.

Research on COVID-19 based on ARIMA model(Δ)-Taking Hubei, China as an example to see the epidemic in Italy

Yang Q, Wang J, Ma H, Wang X.

Epidemiological characteristics and spatial-temporal analysis of COVID-19 in Shandong Province, China

Qi C, Zhu YC, Li CY, Hu YC, Liu LL, Zhang DD, Wang X, She KL, Jia Y, Liu TX, Li XJ.

Distinctive trajectories of COVID-19 epidemic by age and gender: a retrospective modeling of the epidemic in South Korea

Yu X, Duan J, Jiang Y, Zhang H.

Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

Badr HS, Du H, Marshall M, Dong E, Squire MM, Gardner LM.

Radiomics nomogram for the prediction of 2019 novel coronavirus pneumonia caused by SARS-CoV-2

Fang X, Li X, Bian Y, Ji X, Lu J.

Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America

Vaid S, Cakan C, Bhandari M.

Parameter estimation and prediction for coronavirus disease outbreak 2019 (COVID-19) in Algeria

Bentout S, Chekroun A, Kuniya T.

Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data

Wang K, Zhao S, Li H, Song Y, Wang L, Wang MH, Peng Z, Li H, He D.

Estimation of the net reproductive number of COVID-19 in Iran

Moradi Y, Eshrati B.

Modeling and forecasting trend of COVID-19 epidemic in Iran until May 13, 2020

Ahmadi A, Fadaei Y, Shirani M, Rahmani F.

The challenges of modeling and forecasting the spread of COVID-19

Bertozzi AL, Franco E, Mohler G, Short MB, Sledge D.

Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices

Hilton J, Keeling MJ.

The chronicle of COVID-19: possible strategies to curb the pandemic

Kumar R, Harilal S, Al-Sehemi AG, Mathew GE, Carradori S, Mathew B.

Modeling of the Transmission of Coronaviruses, Measles Virus, Influenza Virus, Mycobacterium tuberculosis, and Legionella pneumophila in Dental Clinics

Zemouri C, Awad SF, Volgenant CMC, Crielaard W, Laheij AMGA, de Soet JJ.

Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies

Vasconcelos GL, Macêdo AMS, Ospina R, Almeida FAG, Duarte-Filho GC, Brum AA, Souza ICL.

Modeling, state estimation, and optimal control for the US COVID-19 outbreak

Tsay C, Lejarza F, Stadtherr MA, Baldea M.

Trends in COVID-19 outbreak in Tokyo and Osaka from January 25 to May 06, 2020: a joinpoint regression analysis of the outbreak data

Hasan SMA, Saulam J, Kanda K, Ngatu NR, Hirao T.

SARS-CoV-2 in Italy: Population Density correlates with Morbidity and Mortality

Ilardi A, Chieffi S, Iavarone A, Ilardi CR.

Cluster-based dual evolution for multivariate time series: Analyzing COVID-19

James N, Menzies M.

Using information theory to optimise epidemic models for real-time prediction and estimation

Parag KV, Donnelly CA.

Which curve provides the best explanation of the growth in confirmed COVID-19 cases in Chile?

Díaz-Narváez V, San-Martín-Roldán D, Calzadilla-Núñez A, San-Martín-Roldán P, Parody-Muñoz A, Robledo-Veloso G.

Estimation and prediction of COVID-19 cases in Brazilian metropolises

Sousa GJB, Garces TS, Cestari VRF, Moreira TMM, Florêncio RS, Pereira MLD.

Forecasting the rate of cumulative cases of COVID-19 infection in Northeast Brazil: a Boltzmann function-based modeling study

Melo GC, Ara√∫jo Neto RA, Ara√∫jo KCGM.

A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19

Qin L, Yang Y, Cao Q, Cheng Z, Wang X, Sun Q, Yan F, Qu J, Yang W.

COVID-19 Outpatient Screening: a Prediction Score for Adverse Events

Sun H, Jain A, Leone MJ, Alabsi HS, Brenner LN, Ye E, Ge W, Shao YP, Boutros CL, Wang R, Tesh RA, Magdamo C, Collens SI, Ganglberger W, Bassett IV, Meigs JB, Kalpathy-Cramer J, Li MD, Chu JT, Dougan M, Stratton L, Rosand J, Fischl B, Das S, Mukerji SS, Robbins GK, Westover MB.

Practical considerations for measuring the effective reproductive number, Rt

Gostic KM, McGough L, Baskerville E, Abbott S, Joshi K, Tedijanto C, Kahn R, Niehus R, Hay JA, De Salazar PM, Hellewell J, Meakin S, Munday J, Bosse N, Sherratt K, Thompson RM, White LF, Huisman J, Scire J, Bonhoeffer S, Stadler T, Wallinga J, Funk S, Lipsitch M, Cobey S.

Predicting the Trajectory of Any COVID19 Epidemic From the Best Straight Line

Levitt M, Scaiewicz A, Zonta F.

Is the COVID-19 lockdown nudging people to be more active: a big data analysis

Ding D, Del Pozo Cruz B, Green MA, Bauman AE.

Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19

Odlum M, Cho H, Broadwell P, Davis N, Patrao M, Schauer D, Bales ME, Alcantara C, Yoon S.

Epidemiological Analysis of the Covid-19 Epidemic in Greece

Zimeras S, Chardalias K, Diomidous M.

General Model for COVID-19 Spreading with Consideration of Intercity Migration, Insufficient Testing and Active Intervention: Application to Study of Pandemic Progression in Japan and USA

Zhan C, Tse CK, Lai Z, Chen X, Mo M.

Calculation of air change rates and post-aerosol pause times for a COVID-19 airway management enclosure

Milne AD, d'Entremont MI, Adam Law J.

COVID-19 projections for reopening Connecticut

Crawford FW, Li ZR, Morozova O.

Estimating the Early Outbreak Cumulative Incidence of COVID-19 in the United States: Three Complementary Approaches

Lu FS, Nguyen AT, Link NB, Lipsitch M, Santillana M.

Innate immune signaling in the olfactory epithelium reduces odorant receptor levels: modeling transient smell loss in COVID-19 patients

Rodriguez S, Cao L, Rickenbacher GT, Benz EG, Magdamo C, Ramirez Gomez LA, Holbrook E, Dhilla Albers A, Gallagher R, Westover MB, Evans KE, Tatar D, Mukerji S, Zafonte R, Boyer EW, Yu CR, Albers MW.

Population density and basic reproductive number of COVID-19 across United States counties

Sy KTL, White LF, Nichols BE.

A model for COVID-19 transmission in Connecticut

Morozova O, Li ZR, Crawford FW.

Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach

Carrillo-Larco RM, Castillo-Cara M.

Flattening the curve on Covid-19

Roberts C.

Letter: Neurosurgeons and Curves: The Need for Critical Appraisal of Modeling in the Post-COVID Era

Lepard JR, Markert JM, Walters BC.

Opinion: What models can and cannot tell us about COVID-19

Siegenfeld AF, Taleb NN, Bar-Yam Y.

Correcting misperceptions of exponential coronavirus growth increases support for social distancing

Lammers J, Crusius J, Gast A.

SPE Approach for Robust Estimation of SIR Model with Limited and Noisy Data: The Case for COVID-19

Senel K, Ozdinc M, Ozturkcan S.

COVID-19 Susceptibility Mapping Using Multicriteria Evaluation

Sarkar SK.

Individual-based simulation model for COVID-19 transmission in Daegu,Korea

Son WS, Team R.

A Brief Theory of Epidemic Kinetics

Louchet F.

Modeling quarantine during epidemics and mass-testing using drones

Sedov L, Krasnochub A, Polishchuk V.

Impact of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the US: A Simulation Modeling Approach

Alagoz O, Sethi A, Patterson B, Churpek M, Safdar N.

Dynamics of COVID-19 under social distancing measures are driven by transmission network structure

Nande A, Adlam B, Sheen J, Levy MZ, Hill AL.

Containment of future waves of COVID-19: simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation

Fiore VG, DeFelice N, Glicksberg BS, Perl O, Shuster A, Kulkarni K, O'Brien M, Pisauro MA, Chung D, Gu X.

Estimation of effects of contact tracing and mask adoption on COVID-19 transmission in San Francisco: a modeling study

Worden L, Wannier R, Blumberg S, Ge AY, Rutherford GW, Porco TC.

The R(0) journey: from 1950s malaria to COVID-19

Baum J, Pasvol G, Carter R.

A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2

Britton T, Ball F, Trapman P.

COVID-19 seeding time and doubling time model: an early epidemic risk assessment tool

Zhou L, Liu JM, Dong XP, McGoogan JM, Wu ZY.

Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico

Melin P, Monica JC, Sanchez D, Castillo O.

Epidemiological Trends of Coronavirus Disease 2019 in China

Chen B, Zhong H, Ni Y, Liu L, Zhong J, Su X.

Official Data and Analytical Forecasts: Differences and Similarities Among Coronavirus Disease (COVID-19) Confirmed Cases and Deaths

Ferraro OE, Puci MV, Montomoli C, Rolesu S, Cappai S, Loi F.

A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model

Carcione JM, Santos JE, Bagaini C, Ba J.

Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports

Luo G, McHenry ML, Letterio JJ.

A fractional differential equation model for the COVID-19 transmission by using the Caputo-Fabrizio derivative

Baleanu D, Mohammadi H, Rezapour S.

Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

Arora P, Kumar H, Panigrahi BK.

Analysis of the impact of lockdown on the reproduction number of the SARS-Cov-2 in Spain

Hyafil A, Moriña D.

Clinical prediction model for mortality of adult diabetes inpatients with COVID-19 in Wuhan, China: A retrospective pilot study

Su M, Yuan J, Peng J, Wu M, Yang Y, Peng YG.

"COVOID": A flexible, freely available stochastic individual contact model for exploring COVID-19 intervention and control strategies

Churches T, Jorm L.

Epidemiological Characteristics and Forecast of COVID-19 Outbreak in the Republic of Kazakhstan

Semenova Y, Glushkova N, Pivina L, Khismetova Z, Zhunussov Y, Sandybaev M, Ivankov A.

COVID-19 policy measures-Advocating for the inclusion of the social determinants of health in modelling and decision making

Rangel JC, Ranade S, Sutcliffe P, Mykhalovskiy E, Gastaldo D, Eakin J.

Serial interval and time-varying reproduction number estimation for COVID-19 in western Iran

Najafi F, Izadi N, Hashemi-Nazari SS, Khosravi-Shadmani F, Nikbakht R, Shakiba E.

Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron

Car Z, Baressi Šegota S, Anđelić N, Lorencin I, Mrzljak V.

Simulation of the Final Size of the Evolution Curve of Coronavirus Epidemic in Morocco using the SIR Model

Ifguis O, El Ghozlani M, Ammou F, Moutcine A, Abdellah Z.

Modeling and prediction of COVID-19 pandemic using Gaussian mixture model

Singhal A, Singh P, Lall B, Joshi SD.

Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model

Pathan RK, Biswas M, Khandaker MU.

Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches

Kırbaş İ, Sözen A, Tuncer AD, Kazancıoğlu FŞ.

Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic

Higazy M.

A novel mathematics model of covid-19 with fractional derivative. Stability and numerical analysis

Alkahtani BST, Alzaid SS.

A nonlinear epidemiological model considering asymptotic and quarantine classes for SARS CoV-2 virus

Mishra AM, Purohit SD, Owolabi KM, Sharma YD.

A simplified math approach to predict ICU beds and mortality rate for hospital emergency planning under Covid-19 pandemic

Manca D, Caldiroli D, Storti E.

Modelling the pandemic: attuning models to their contexts

Rhodes T, Lancaster K, Lees S, Parker M.

Digital health and care in pandemic times: impact of COVID-19

Peek N, Sujan M, Scott P.

Editorial: Why is modeling COVID-19 so difficult?

Subramanian V, Kattan MW.

Colorblind Algorithms: Racism in the Era of COVID-19

Williams JC, Anderson N, Mathis M, Samford E 3rd, Eugene J, Isom J.

An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases

Wei W, Zhang X.

An improved mathematical prediction of the time evolution of the Covid-19 pandemic in Italy, with a Monte Carlo simulation and error analyses

Ciufolini I, Paolozzi A.

Dealing with a pandemic: the Kerala Model of containment strategy for COVID-19

Pandi-Perumal SR, Gulia KK, Gupta D, Kumar VM.

Beating the odds with systematic individualized care Nationwide prospective follow-up of all patients with COVID-19 in Iceland

Helgason D, Eythorsson E, Olafsdottir LB, Agustsson T, Ingvarsdottir S, Sverrisdottir S, Ragnarsdottir ED, Gottfredsson M, Gudlaugsson O, Palsson R, Ingvarsson RF.

An adaptive model of health system organization and responses helped Vietnam to successfully halt the Covid-19 pandemic: What lessons can be learned from a resource-constrained country

Van Nguyen H, Van Hoang M, Dao ATM, Nguyen HL, Van Nguyen T, Nguyen PT, Khuong LQ, Le PM, Gilmour S.

Modeling Marie Curie: How student nurses can contribute to evidence-based practice during the COVID-19 era

Aguilera V, Venkatachalam AM.

Measures of frequency: calculating prevalence and incidence in the era of COVID-19

Pizzichini MMM, Patino CM, Ferreira JC.

Forecasting the Future of Urology Practice: A Comprehensive Review of the Recommendations by International and European Associations on Priority Procedures During the COVID-19 Pandemic

Amparore D, Campi R, Checcucci E, Sessa F, Pecoraro A, Minervini A, Fiori C, Ficarra V, Novara G, Serni S, Porpiglia F.

Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan

Huang YT, Tu YK, Lai PC.

COVID-19 and tuberculosis: A mathematical model based forecasting in Delhi, India

Marimuthu Y, Nagappa B, Sharma N, Basu S, Chopra KK.

Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study

Clark A, Jit M, Warren-Gash C, Guthrie B, Wang HHX, Mercer SW, Sanderson C, McKee M, Troeger C, Ong KL, Checchi F, Perel P, Joseph S, Gibbs HP, Banerjee A, Eggo RM; Centre for the Mathematical Modelling of Infectious Diseases COVID-19 working group.

Predictive models for COVID-19-related deaths and infections

Gerli AG, Centanni S, Miozzo M, Sotgiu G.

An internet-based algorithm for diabetic foot infection during the COVID-19 pandemic

Liu C, Shi WL, You JX, Li HY, Li L.

Estimating the daily trend in the size of the COVID-19 infected population in Wuhan

Lin QS, Hu TJ, Zhou XH.

Epidemiology of COVID-19 in Brazil: using a mathematical model to estimate the outbreak peak and temporal evolution

Tang Y, Serdan TDA, Masi LN, Tang S, Gorjao R, Hirabara SM.

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

Xie W, Jacobs C, Charbonnier JP, van Ginneken B.

Data-driven modeling reveals a universal dynamic underlying the COVID-19 pandemic under social distancing

Iii RM, Mehta P.

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M.

Dynamic Modeling COVID-19 for Comparing Containment Strategies in a Pandemic Scenario

Lu M, Ishwaran H.

Air transportation, population density and temperature predict the spread of COVID-19 in Brazil

Pequeno P, Mendel B, Rosa C, Bosholn M, Souza JL, Baccaro F, Barbosa R, Magnusson W.

Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions

Alzahrani SI, Aljamaan IA, Al-Fakih EA.

Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States

Mollalo A, Rivera KM, Vahedi B.

Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution

Milano M, Cannataro M.

Modelling the Evolution of COVID-19 in High-Incidence European Countries and Regions: Estimated Number of Infections and Impact of Past and Future Intervention Measures

Fern√°ndez-Recio J.

Group Testing-Based Robust Algorithm for Diagnosis of COVID-19

Seong JT.

The potential impact of COVID-19 in refugee camps in Bangladesh and beyond:  A modeling study

Truelove S, Abrahim O, Altare C, Lauer SA, Grantz KH, Azman AS, Spiegel P.

A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases

Smith BA.

ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data

Duan X, Zhang X.

How do epidemiologists know how many people will get Covid-19?

Ball P.

Coronavirus pandemic: A predictive analysis of the peak outbreak epidemic in South Africa, Turkey, and Brazil

Djilali S, Ghanbari B.

Novel Corona virus disease infection in Tunisia: Mathematical model and the impact of the quarantine strategy

Fredj HB, Chérif F.

Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective

Kassa SM, Njagarah JBH, Terefe YA.

Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators

Ayinde K, Lukman AF, Rauf RI, Alabi OO, Okon CE, Ayinde OE.

COVID-19: Development of a robust mathematical model and simulation package with consideration for ageing population and time delay for control action and resusceptibility

Ng KY, Gui MM.

Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns

Woodside AG.

Common Pitfalls in the Interpretation of COVID-19 Data and Statistics

Backhaus A.

Individualizing risk prediction for positive COVID-19 testing: results from 11,672 patients

Jehi L, Ji X, Milinovich A, Erzurum S, Rubin B, Gordon S, Young J, Kattan MW.

Projecting the Course of COVID-19 in Turkey: A Probabilistic Modeling Approach

Acar AC, Er AG, Burduroğlu HC, Sülkü SN, Aydin Son Y, Akin L, Ünal S.

Identifying airborne transmission as the dominant route for the spread of COVID-19

Zhang R, Li Y, Zhang AL, Wang Y, Molina MJ.

Infection rate and clinical management of cancer patients during the COVID-19 pandemic: experience from a tertiary care hospital in northern Italy

Fong D, Rauch S, Petter C, Haspinger E, Alber M, Mitterer M.

Estimated Use of Intensive Care Beds Due to COVID-19 in Germany Over Time

Stang A, Stang M, Jöckel KH.

[Analysis of the clinical characteristics and early warning model construction of severe/critical coronavirus disease 2019 patients]

Xu J, Zhao F, Han M, Ma L, Zhang T.

Examining the effect of social distancing on the compound growth rate of COVID-19 at the county level (United States) using statistical analyses and a random forest machine learning model

Cobb JS, Seale MA.

Establishing a model for predicting the outcome of COVID-19 based on combination of laboratory tests

Wang F, Hou H, Wang T, Luo Y, Tang G, Wu S, Zhou H, Sun Z.

Potential for elimination of SAR-CoV-2 through vaccination as inspired by elimination of multiple influenza viruses through natural pandemics or mass vaccination

Chen JM, Sun YX, Chen JW.

18.2 Million Individuals at Increased Risk of Severe COVID-19 Illness Are Un- or Underinsured

Gaffney AW, Hawks L, Bor DH, Woolhandler S, Himmelstein DU, McCormick D.

Clustering analysis of countries using the COVID-19 cases dataset

Zarikas V, Poulopoulos SG, Gareiou Z, Zervas E.

A quantitative and qualitative analysis of the COVID-19 pandemic model

Khoshnaw SHA, Shahzad M, Ali M, Sultan F.

Covid-19: Better data on outbreaks will help control infection, say experts

Griffin S.

Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020

Alsayed A, Sadir H, Kamil R, Sari H.

Spatial Analysis of COVID-19 cases and intensive care beds in the State of Cear√°, Brazil

Pedrosa NL, Albuquerque NLS.

Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt's model

Martinez EZ, Aragon DC, Nunes AA.

COVID-19 in the city of Rio de Janeiro: spatial analysis of first confirmed cases and deaths

Cavalcante JR, Abreu AJL.

Reduction in effective reproduction number of COVID-19 is higher in countries employing active case detection with prompt isolation

Wilasang C, Sararat C, Jitsuk NC, Yolai N, Thammawijaya P, Auewarakul P, Modchang C.

Inferring the number of COVID-19 cases from recently reported deaths

Jombart T, van Zandvoort K, Russell TW, Jarvis CI, Gimma A, Abbott S, Clifford S, Funk S, Gibbs H, Liu Y, Pearson CAB, Bosse NI; Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Eggo RM, Kucharski AJ, Edmunds WJ.

Prediction of CoVid-19 infection, transmission and recovery rates: A new analysis and global societal comparisons

Duffey RB, Zio E.

The basic reproduction number and prediction of the epidemic size of the novel coronavirus (COVID-19) in Shahroud, Iran

Khosravi A, Chaman R, Rohani-Rasaf M, Zare F, Mehravaran S, Emamian MH.

Response on "Evaluation of modelling study shows limits of COVID-19 importing risk simulations in sub-Saharan Africa"

Haider N.

Evaluation of modelling study shows limits of COVID-19 importing risk simulations in sub-Saharan Africa

Miyachi T, Tanimoto T, Kami M.

Two complementary model-based methods for calculating the risk of international spreading of anovel virus from the outbreak epicentre. The case of COVID-19

Massad E, Amaku M, Wilder-Smith A, Santos PCCD, Struchiner CJ, Coutinho FAB.

Estimation of Reproduction Number (Ro) and Early Prediction of 2019 Novel Coronavirus Disease (COVID-19) Outbreak in India Using Statistical Computing Approach

Kanagarathinam K, Sekar K.

Time-Varying COVID-19 Reproduction Number in the United States

Gunzler D, Sehgal AR.

COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities

Du Z, Xu X, Wu Y, Wang L, Cowling BJ, Meyers LA.

Intervention Serology and Interaction Substitution: Modeling the Role of 'Shield Immunity' in Reducing COVID-19 Epidemic Spread

Weitz JS, Beckett SJ, Coenen AR, Demory D, Dominguez-Mirazo M, Dushoff J, Leung CY, Li G, Magalie A, Park SW, Rodriguez-Gonzalez R, Shivam S, Zhao C.

Symptom-Based Isolation Policies: Evidence from a Mathematical Model of Outbreaks of Influenza and COVID-19

Burns A, Gutfraind A.

Using the COVID-19 to influenza ratio to estimate the numbers of symptomatic COVID-19 cases in Wuhan prior to the lockdown

Du Z, Cowling BJ, Meyers LA.

Household Secondary Attack Rate of COVID-19 and Associated Determinants

Jing QL, Liu MJ, Yuan J, Zhang ZB, Zhang AR, Dean NE, Luo L, Ma MM, Longini I, Kenah E, Lu Y, Ma Y, Jalali N, Fang LQ, Yang ZC, Yang Y.

Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: Case study of COVID-19 in Alberta, Canada and Philadelphia, USA

Burstyn I, Goldstein ND, Gustafson P.

Data-driven modeling reveals a universal dynamic underlying the COVID-19 pandemic under social distancing

Marsland R, Mehta P.

A Tempo-geographic Analysis of Global COVID-19 Epidemic Outside of China

Liao H, Marley G, Si Y, Wang Z, Xie Y, Wang C, Tang W.

Why estimating population-based case fatality rates during epidemics may be misleading

Böttcher L, Xia M, Chou T.

Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic

Aleta A, Martin-Corral D, Pastore Y Piontti A, Ajelli M, Litvinova M, Chinazzi M, Dean NE, Halloran ME, Longini IM, Merler S, Pentland A, Vespignani A, Moro E, Moreno Y.

Accounting for incomplete testing in the estimation of epidemic parameters

Betensky RA, Feng Y.

Predictions for Europe for the Covid-19 pandemic from a SIR model

Bhanot G, DeLisi C.

Modeling serological testing to inform relaxation of social distancing for COVID-19 control

Kraay ANM, Nelson K, Zhao C, Weitz JS, Lopman BA.

The intensity of COVID-19 outbreaks is modulated by SARS-CoV-2 free-living survival and environmental transmission

Ogbunugafor CB, Miller-Dickson MD, Meszaros VA, Gomez LM, Murillo AL, Scarpino SV.

Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies

Wang Q, Xie S, Wang Y, Zeng D.

Understanding Spatial Heterogeneity of COVID-19 Pandemic Using Shape Analysis of Growth Rate Curves

Srivastava A, Chowell G.

Fractional SIR Epidemiological Models

Taghvaei A, Georgiou TT, Norton L, Tannenbaum AR.

Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model

Beckett SJ, Dominguez-Mirazo M, Lee S, Andris C, Weitz JS.

Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or Ventilator

Wollenstein-Betech S, Cassandras CG, Paschalidis IC.

Moving Beyond a Peak Mentality: Plateaus, Shoulders, Oscillations and Other 'Anomalous' Behavior-Driven Shapes in COVID-19 Outbreaks

Weitz JS, Park SW, Eksin C, Dushoff J.

Lockdown exit strategies and risk of a second epidemic peak: a stochastic agent-based model of SARS-CoV-2 epidemic in France

Hoertel N, Blachier M, Blanco C, Olfson M, Massetti M, Rico MS, Limosin F, Leleu H.

Facing the COVID-19 epidemic in NYC: a stochastic agent-based model of various intervention strategies

Hoertel N, Blachier M, Blanco C, Olfson M, Massetti M, Limosin F, Leleu H.

Inferring the number of COVID-19 cases from recently reported deaths

Jombart T, van Zandvoort K, Russell TW, Jarvis CI, Gimma A, Abbott S, Clifford S, Funk S, Gibbs H, Liu Y, Pearson CAB, Bosse NI; Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Eggo RM, Kucharski AJ, Edmunds WJ.

The serial interval of COVID-19 from publicly reported confirmed cases

Du Z, Xu X, Wu Y, Wang L, Cowling BJ, Meyers LA.

Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province

Liu Y, Qin J, Fan Y, Zhou Y, Follmann DA, Huang CY.

Comparative Impact of Individual Quarantine vs. Active Monitoring of Contacts for the Mitigation of COVID-19: a modelling study

Peak CM, Kahn R, Grad YH, Childs LM, Li R, Lipsitch M, Buckee CO.

Estimation of incubation period distribution of COVID-19 using disease onset forward time: a novel cross-sectional and forward follow-up study

Qin J, You C, Lin Q, Hu T, Yu S, Zhou XH.

Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling study

Zhang J, Litvinova M, Wang W, Wang Y, Deng X, Chen X, Li M, Zheng W, Yi L, Chen X, Wu Q, Liang Y, Wang X, Yang J, Sun K, Longini IM Jr, Halloran ME, Wu P, Cowling BJ, Merler S, Viboud C, Vespignani A, Ajelli M, Yu H.

Modeling and Simulation of a Fully-glycosylated Full-length SARS-CoV-2 Spike Protein in a Viral Membrane

Woo H, Park SJ, Choi YK, Park T, Tanveer M, Cao Y, Kern NR, Lee J, Yeom MS, Croll T, Seok C, Im W.

A modular framework for multiscale multicellular spatial modeling of viral infection, immune response and drug therapy timing and efficacy in epithelial tissues: A multiscale model of viral infection in epithelial tissues

Sego TJ, Aponte-Serrano JO, Gianlupi JF, Heaps SR, Breithaupt K, Brusch L, Osborne JM, Quardokus EM, Glazier JA.

Structure-based modeling of SARS-CoV-2 peptide/HLA-A02 antigens

Nerli S, Sgourakis NG.

Homology Modeling of TMPRSS2 Yields Candidate Drugs That May Inhibit Entry of SARS-CoV-2 into Human Cells

Rensi S, Altman RB, Liu T, Lo YC, McInnes G, Derry A, Keys A.

COVID-19: Test, Trace and Isolate-New Epidemiological Data

Brüssow H.

Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases

Chow CC, Chang JC, Gerkin RC, Vattikuti S.

Is innate immunity our best weapon for flattening the curve?

Angka L, Market M, Ardolino M, Auer RC.

Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming

Salgotra R, Gandomi M, Gandomi AH.

Mathematical modeling of COVID-19 fatality trends: Death kinetics law versus infection-to-death delay rule

Scheiner S, Ukaj N, Hellmich C.

Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability

Li Q, Tang B, Bragazzi NL, Xiao Y, Wu J.

Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA

Burstyn I, Goldstein ND, Gustafson P.

Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America

Vaid S, McAdie A, Kremer R, Khanduja V, Bhandari M.

A Visual Approach for the SARS (Severe Acute Respiratory Syndrome) Outbreak Data Analysis

Hua J, Wang G, Huang M, Hua S, Yang S.

Early characteristics of the COVID-19 outbreak predict the subsequent epidemic size

Zhang L, Tao Y, Wang J, Ong JJ, Tang W, Zou M, Bai L, Ding M, Shen M, Zhuang G, Fairley CK.

The Importance of Long-term Care Populations in Models of COVID-19

Pillemer K, Subramanian L, Hupert N.

COVID-19 created chaos across the globe: Three novel quarantine epidemic models

Mishra BK, Keshri AK, Rao YS, Mishra BK, Mahato B, Ayesha S, Rukhaiyyar BP, Saini DK, Singh AK.

Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan

Yousaf M, Zahir S, Riaz M, Hussain SM, Shah K.

Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps

Melin P, Monica JC, Sanchez D, Castillo O.

A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

Contreras S, Villavicencio HA, Medina-Ortiz D, Biron-Lattes JP, Olivera-Nappa Á.

Forecast and evaluation of COVID-19 spreading in USA with reduced-space Gaussian process regression

Arias Velásquez RM, Mejía Lara JV.

Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?

Atangana A.

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Ribeiro MHDM, da Silva RG, Mariani VC, Coelho LDS.

Estimation of COVID-19 dynamics "on a back-of-envelope": Does the simplest SIR model provide quantitative parameters and predictions?

Postnikov EB.

Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

Saba AI, Elsheikh AH.

Generalized Z-numbers with hesitant fuzzy linguistic information and its application to medicine selection for the patients with mild symptoms of the COVID-19

Ren Z, Liao H, Liu Y.

Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China

Kim S, Choi S, Ko Y, Ki M, Jung E.

Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia

Wirawan IMA, Januraga PP.

Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis

Alimohamadi Y, Taghdir M, Sepandi M.

A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy

Xue L, Jing S, Miller JC, Sun W, Li H, Estrada-Franco JG, Hyman JM, Zhu H.

Estimating global epidemiology of low pathogenic human coronaviruses relating to the COVID-19 context

Li P, Liu J, Ma Z, Bramer WM, Pepelenbosch MP, Pan Q.

Distribution and growth rate of COVID-19 outbreak in Tamil Nadu: A log-linear regression approach

Bhaskar A, Ponnuraja C, Srinivasan R, Padmanaban S.

Effectiveness of preventive measures against COVID-19: A systematic review of In Silico modeling studies in indian context

Lahiri A, Jha SS, Bhattacharya S, Ray S, Chakraborty A.

Linking key intervention timings to rapid declining effective reproduction number to quantify lessons against COVID-19

Peng Z, Song W, Ding Z, Guan Q, Yang X, Xu Q, Wang X, Xia Y.

Interpreting COVID-19 Test Results: a Bayesian Approach

Good CB, Hernandez I, Smith K.

Modelling Covid-19 under uncertainty: what can we expect?

Wang M, Flessa S.

Asymptotic estimates of SARS-CoV-2 infection counts and their sensitivity to stochastic perturbation

Faranda D, Castillo IP, Hulme O, Jezequel A, Lamb JSW, Sato Y, Thompson EL.

Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China

Xiong Y, Wang Y, Chen F, Zhu M.

Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death

Chatterjee A, Gerdes MW, Martinez SG.

Forecast Possible Risk for COVID-19 Epidemic Dissemination Under Current Control Strategies in Japan

Chen Z, Yang J, Dai B.

Sociodemographic Predictors of Health Risk Perception, Attitude and Behavior Practices Associated with Health-Emergency Disaster Risk Management for Biological Hazards: The Case of COVID-19 Pandemic in Hong Kong, SAR China

Chan EYY, Huang Z, Lo ESK, Hung KKC, Wong ELY, Wong SYS.

Covid-19: Leading statistician welcomes UK government's move to improve testing data

Rimmer A.

The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem: An observational study

Chang CS, Yeh YT, Chien TW, Lin JJ, Cheng BW, Kuo SC.

Modeling compliance with COVID-19 prevention guidelines: the critical role of trust in science

Plohl N, Musil B.

Conditional Cell Reprogramming for Modeling Host-Virus Interactions and Human Viral Diseases

Liu X, Mondal AM.

The Burden of Disease due to COVID-19 in Korea Using Disability-Adjusted Life Years

Jo MW, Go DS, Kim R, Lee SW, Ock M, Kim YE, Oh IH, Yoon SJ, Park H.

The COVID-19 Pandemic-Can open access modeling give us better answers more quickly?

Beth Allen M, Mills M, Mirsaeidi M.

Coronavirus disease 2019-The principles of the curve, explained simply

Jozaghi Y.

Prediction of the severity of Corona Virus Disease 2019 and its adverse clinical outcomes

Liu X, Shi S, Xiao J, Wang H, Chen L, Li J, Han K.

Re: a British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic

Khan T, Lopez T, Khan T, Ali A, Syed S, Patil P, Hatoum A.

The CALL score for predicting outcomes in patients with COVID-19

Grifoni E, Valoriani A, Cei F, Vannucchi V, Moroni F, Pelagatti L, Tarquini R, Landini G, Masotti L.

Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico

Bello-Chavolla OY, Bahena-López JP, Antonio-Villa NE, Vargas-Vázquez A, González-Díaz A, Márquez-Salinas A, Fermín-Martínez CA, Naveja JJ, Aguilar-Salinas CA.

COVID-19 and the difficulty of inferring epidemiological parameters from clinical data

Wood SN, Wit EC, Fasiolo M, Green PJ.

COVID-19 and the difficulty of inferring epidemiological parameters from clinical data - Authors' reply

Verity R, Okell L, Dorigatti I, Winskill P, Whittaker C, Walker P, Donnelly C, Ferguson N, Ghani A.

Derivation and validation of a scoring system to assess pre-test probability of being COVID-19 positive

Borghetti A, Ciccullo A, Paratore M, Rovedi F, Stella L, Marchetti A, Cattani P, Verme LZD, Cauda R, Gasbarrini A, Di Giambenedetto S; Residents against COVID-Unit Elite (ResCUE)-Team.

On the benefits of flattening the curve: A perspective

Feng Z, Glasser JW, Hill AN.

Estimation of the Serial Interval and Basic Reproduction Number of COVID-19 in Qom, Iran, and Three Other Countries: A Data-Driven Analysis in the Early Phase of the Outbreak

Aghaali M, Kolifarhood G, Nikbakht R, Mozafar Saadati H, Hashemi Nazari SS.

A Conceptual Discussion about R0 of SARS-COV-2 in Healthcare Settings

Temime L, Gustin MP, Duval A, Buetti N, Crépey P, Guillemot D, Thiébaut R, Vanhems P, Zahar JR, Smith DRM, Opatowski L.

Modeling the effects of intervention strategies on COVID-19 transmission dynamics

Kennedy DM, Zambrano GJ, Wang Y, Neto OP.

Asymmetric nexus between temperature and COVID-19 in the top ten affected provinces of China: A current application of quantile-on-quantile approach

Shahzad F, Shahzad U, Fareed Z, Iqbal N, Hashmi SH, Ahmad F.

Correlation between the variables collected at admission and progression to severe cases during hospitalization among COVID-19 patients in Chongqing

Duan J, Wang X, Chi J, Chen H, Bai L, Hu Q, Han X, Hu W, Zhu L, Wang X, Li Y, Zhou C, Mou H, Yan X, Guo S.

Estimation of the basic reproduction number, average incubation time, asymptomatic infection rate, and case fatality rate for COVID-19: Meta-analysis and sensitivity analysis

He W, Yi GY, Zhu Y.

Social support and mental health among health care workers during Coronavirus Disease 2019 outbreak: A moderated mediation model

Hou T, Zhang T, Cai W, Song X, Chen A, Deng G, Ni C.

Statistical analysis of the impact of environmental temperature on the exponential growth rate of cases infected by COVID-19

Livadiotis G.

[An epidemiological forecast of COVID-19 in Chile based on the generalized SEIR model and the concept of recovered]

Guerrero-Nancuante C, Manríquez P R.

A novel simple scoring model for predicting severity of patients with SARS-CoV-2 infection

Dong Y, Zhou H, Li M, Zhang Z, Guo W, Yu T, Gui Y, Wang Q, Zhao L, Luo S, Fan H, Hu D.

Musings on the current state of COVID-19 modeling and reporting

Bonate PL.

Estimation of reproduction numbers of COVID-19 in typical countries and epidemic trends under different prevention and control scenarios

Xu C, Dong Y, Yu X, Wang H, Tsamlag L, Zhang S, Chang R, Wang Z, Yu Y, Long R, Wang Y, Xu G, Shen T, Wang S, Zhang X, Wang H, Cai Y.

[Estimation of the number of cases of COVID-19 in real time using a web form through social networks: Project COVID-19-TRENDS]

Linares M, Garitano I, Santos L, Ramos JM.

Heart failure management during COVID-19 outbreak in Italy. Telemedicine experience from a heart failure university tertiary referral centre

Salzano A, D'Assante R, Stagnaro FM, Valente V, Crisci G, Giardino F, Arcopinto M, Bossone E, Marra AM, Cittadini A.

Managing the R0 of Covid-19: mathematics fights back

Pandit JJ.

Analysis of the Transmissibility Change of 2019-Novel Coronavirus Pneumonia and Its Potential Factors in China from 2019 to 2020

Zhao Y, Wang R, Li J, Zhang Y, Yang H, Zhao Y.

Predicting intervention effect for COVID-19 in Japan: state space modeling approach

Kobayashi G, Sugasawa S, Tamae H, Ozu T.

Estimation of the time-varying reproduction number of COVID-19 outbreak in China

You C, Deng Y, Hu W, Sun J, Lin Q, Zhou F, Pang CH, Zhang Y, Chen Z, Zhou XH.

Evaluation of the potential incidence of COVID-19 and effectiveness of containment measures in Spain: a data-driven approach

Aleta A, Moreno Y.

The COVID-19 Infection in Italy: A Statistical Study of an Abnormally Severe Disease

De Natale G, Ricciardi V, De Luca G, De Natale D, Di Meglio G, Ferragamo A, Marchitelli V, Piccolo A, Scala A, Somma R, Spina E, Troise C.

When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19

Kent DM, Paulus JK, Sharp RR, Hajizadeh N.

Modeling the effects of intervention strategies on COVID-19 transmission dynamics

Kennedy DM, Zambrano GJ, Wang Y, Neto OP.