A cost-effective plan for global testing - An infection rate stratified, algorith guided, multiple-level, continuously pooled testing strategy

Gu T, Yao L, Meng X, Graff JC, Thomason D, Li J, Dong W, Jiao Y, Aleya L, Maida M, Wang CY, Zangerl B, Genini S, Ray K, Goldman E, Ji J, Alexandrov AV, Sun D, Gu W, Wang Y.

Development of new vaccine target against SARS-CoV2 using envelope (E) protein: An evolutionary, molecular modeling and docking based study

Bhattacharya S, Banerjee A, Ray S.

Modeling the Effects of Nonpharmaceutical Interventions on COVID-19 Spread in Kenya

Gathungu DK, Ojiambo VN, Kimathi MEM, Mwalili SM.

Re-Thinking the Role of Government Information Intervention in the COVID-19 Pandemic: An Agent-Based Modeling Analysis

Lu Y, Ji Z, Zhang X, Zheng Y, Liang H.

A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread

Johnston MD, Pell B.

Mathematical modeling and analysis of COVID-19 pandemic in Nigeria

Iboi EA, Sharomi O, Ngonghala CN, Gumel AB.

A new dynamical modeling SEIR with global analysis applied to the real data of spreading COVID-19 in Saudi Arabia

Youssef HM, Alghamdi NA, Ezzat MA, El-Bary AA, Shawky AM.

Comparison of in-hospital mortality risk prediction models from COVID-19

El-Solh AA, Lawson Y, Carter M, El-Solh DA, Mergenhagen KA.

Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19

Wang H, Zhang Y, Lu S, Wang S.

Mathematical model for spreading of COVID-19 virus with the Mittag-Leffler kernel

Logeswari K, Ravichandran C, Nisar KS.

Mathematical modeling for novel coronavirus (COVID-19) and control

Alqarni MS, Alghamdi M, Muhammad T, Alshomrani AS, Khan MA.

Neuropathological explanation of minimal COVID-19 infection rate in newborns, infants and children - a mystery so far. New insight into the role of Substance P

Mehboob R, Lavezzi AM.

Modeling the Stability of SARS-CoV-2 on Personal Protective Equipment (PPE)

Haddow AD, Watt TR, Bloomfield HA, Fetterer DP, Harbourt DE.

Public policy and economic dynamics of COVID-19 spread: A mathematical modeling study

Goldsztejn U, Schwartzman D, Nehorai A.

Preliminary modeling of Coronavirus (COVID-19) spread in construction industry

Afkhamiaghd A M, Elwakil E.

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

Sego TJ, Aponte-Serrano JO, Ferrari Gianlupi J, Heaps SR, Breithaupt K, Brusch L, Crawshaw J, Osborne JM, Quardokus EM, Plemper RK, Glazier JA.

Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality

Al-Qaness MAA, Fan H, Ewees AA, Yousri D, Abd Elaziz M.

Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method

Attanayake AMCH, Perera SSN.

Range of reproduction number estimates for COVID-19 spread

Pasetto D, Lemaitre JC, Bertuzzo E, Gatto M, Rinaldo A.

The Need for Research-Grade Systems Modeling Technologies for Life Science Education

Helikar T.

Modeling the pandemic trend of 2019 Coronavirus with optimal control analysis

Fatima B, Zaman G, Alqudah MA, Abdeljawad T.

Human activity pattern implications for modeling SARS-CoV-2 transmission

Wang Y, Li B, Gouripeddi R, Facelli JC.

Modeling and prediction of COVID-19 spread in the Philippines by October 13, 2020, by using the VARMAX time series method with preventive measures

Gautam Jamdade P, Gautamrao Jamdade S.

Heterogeneity and effectiveness analysis of COVID-19 prevention and control in major cities in China through time-varying reproduction number estimation

Cheng Q, Liu Z, Cheng G, Huang J.

Modeling and analysis of different scenarios for the spread of COVID-19 by using the modified multi-agent systems - Evidence from the selected countries

Vyklyuk Y, Manylich M, Škoda M, Radovanović MM, Petrović MD.

Estimation of the basic reproduction number (𝑅0) of the COVID-19 epidemic in Iran

Azimi SS, Koohi F, Aghaali M, Nikbakht R, Mahdavi M, Mokhayeri Y, Mohammadi R, Taherpour N, Nakhaeizadeh M, Khalili D, Sharifi H, Hashemi Nazari SS.

Forecasting COVID-19 Pandemic Using Optimal Singular Spectrum Analysis

Kalantari M.

COVID-19: Forecasting confirmed cases and deaths with a simple time-series model

Petropoulos F, Makridakis S, Stylianou N.

Excess mortality from suicide during the early COVID-19 pandemic period in Japan: a time-series modeling before the pandemic

Anzai T, Fukui K, Ito T, Ito Y, Takahashi K.

Natural and human environment interactively drive spread pattern of COVID-19: A city-level modeling study in China

Wu X, Yin J, Li C, Xiang H, Lv M, Guo Z.

Modeling the COVID-19 Pandemic: A Comprehensive Guide of Infectious Disease and Decision-Analytic Models

Mac S, Mishra S, Ximenes R, Barrett K, Khan YA, Naimark D, Sander B.

Predictive modeling of morbidity and mortality in COVID-19 hospitalized patients and its clinical implications

Wang JM, Liu W, Chen X, McRae MP, McDevitt JT, Fenyö D.

Chromatin remodeling in peripheral blood cells reflects COVID-19 symptom severity

Giroux NS, Ding S, McClain MT, Burke TW, Petzold E, Chung HA, Palomino GR, Wang E, Xi R, Bose S, Rotstein T, Nicholson BP, Chen T, Henao R, Sempowski GD, Denny TN, Ko ER, Ginsburg GS, Kraft BD, Tsalik EL, Woods CW, Shen X.

Assessment of Three Mathematical Prediction Models for Forecasting the COVID-19 Outbreak in Iran and Turkey

Niazkar M, Eryılmaz Türkkan G, Niazkar HR, Türkkan YA.

Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections

Ala'raj M, Majdalawieh M, Nizamuddin N.

Widespread testing, case isolation and contact tracing may allow safe school reopening with continued moderate physical distancing: A modeling analysis of King County, WA data

Bracis C, Burns E, Moore M, Swan D, Reeves DB, Schiffer JT, Dimitrov D.

Strengthening policy coding methodologies to improve COVID-19 disease modeling and policy responses: a proposed coding framework and recommendations

Lane J, Garrison MM, Kelley J, Sarma P, Katz A.

A fractional order approach to modeling and simulations of the novel COVID-19

Owusu-Mensah I, Akinyemi L, Oduro B, Iyiola OS.

A mathematical model to examine the effect of quarantine on the spread of coronavirus

Babaei A, Ahmadi M, Jafari H, Liya A.

Individual Behaviors and COVID-19 Lockdown Exit Strategy: A Mid-Term Multidimensional Bio-economic Modeling Approach

Ferchiou A, Bornet R, Lhermie G, Raboisson D.

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

de Lima CL, da Silva CC, da Silva ACG, Luiz Silva E, Marques GS, de Araújo LJB, Albuquerque Júnior LA, de Souza SBJ, de Santana MA, Gomes JC, de Freitas Barbosa VA, Musah A, Kostkova P, Dos Santos WP, da Silva Filho AG.

Data Analysis of Covid-19 Pandemic and Short-Term Cumulative Case Forecasting Using Machine Learning Time Series Models

Ballı S.

Modeling and simulations of CoViD-19 molecular mechanism induced by cytokines storm during SARS-CoV2 infection

Yu Z, Ellahi R, Nutini A, Sohail A, Sait SM.

Modeling Multi-organ Infection by SARS-CoV-2 Using Stem Cell Technology

Simoneau CR, Ott M.

Human induced pluripotent stem cells as a tool for disease modeling and drug screening for COVID-19

Nolasco P, Borsoi J, Moraes CB, Freitas-Junior LH, Pereira LV.

Forecasting the long-term trend of COVID-19 epidemic using a dynamic model

Sun J, Chen X, Zhang Z, Lai S, Zhao B, Liu H, Wang S, Huan W, Zhao R, Ng MTA, Zheng Y.

Forecasting COVID-19 daily cases using phone call data

Rostami-Tabar B, Rendon-Sanchez JF.

Modeling the Molecular Impact of SARS-CoV-2 Infection on the Renin-Angiotensin System

Pucci F, Bogaerts P, Rooman M.

Prediction on the Number of Confirmed Covid-19 With the FUDAN-CCDC Mathematical Model and Its Epidemiology, Clinical Manifestations, And Prevention and Treatment Effects

Xiao S, Cheng G, Yang R, Zhang Y, Lin Y, Ding Y.

Modeling and control of COVID-19: A short-term forecasting in the context of India

Mandal M, Jana S, Khatua A, Kar TK.

Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model

Faranda D, Alberti T.

Mathematical modeling of COVID-19: Impact of non-pharmaceutical interventions in India

Bajiya VP, Bugalia S, Tripathi JP.

Carnosine to Combat Novel Coronavirus (nCoV): Molecular Docking and Modeling to Cocrystallized Host Angiotensin-Converting Enzyme 2 (ACE2) and Viral Spike Protein

Saadah LM, Deiab GIA, Al-Balas Q, Basheti IA.

Forecasting COVID-19 in Pakistan

Ali M, Khan DM, Aamir M, Khalil U, Khan Z.

Heterogeneity in SIR epidemics modeling: superspreaders and herd immunity

Szapudi I.

Novel Spatiotemporal Feature Extraction Parallel Deep Neural Network for Forecasting Confirmed Cases of Coronavirus Disease 2019

Huang CJ, Shen Y, Kuo PH, Chen YH.

Modeling the Elective Vascular Surgery Recovery After COVID-19: Implications for Moving Forward

Brown CS, Albright J, Henke PK, Mansour MA, Weaver M, Osborne NH.

Author Correction: Modeling COVID-19 scenarios for the United States

IHME COVID-19 Forecasting Team.

A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany

Shen J.

Modeling the transmission dynamics of COVID-19 epidemic: a systematic review

Guan J, Wei Y, Zhao Y, Chen F.

Predictive performance of international COVID-19 mortality forecasting models

Friedman J, Liu P, Troeger CE, Carter A, Reiner RC, Barber RM, Collins J, Lim SS, Pigott DM, Vos T, Hay SI, Murray CJL, Gakidou E.

Modeling and interpreting the COVID-19 intervention strategy of China: A human mobility view

Chen H, He J, Song W, Wang L, Wang J, Chen Y.

A Crisis for a System in Crisis: Forecasting from the Short- and Long-Term Impacts of COVID-19 on the Child Welfare System

Pisani-Jacques K.

Analyzing and forecasting COVID-19 pandemic in the Kingdom of Saudi Arabia using ARIMA and SIR models

Abuhasel KA, Khadr M, Alquraish MM.

Forecasting the spread of COVID-19 under different reopening strategies

Liu M, Thomadsen R, Yao S.

Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis

Nand M, Maiti P, Joshi T, Chandra S, Pande V, Kuniyal JC, Ramakrishnan MA.

Modeling and Simulation of the Novel Coronavirus in Caputo Derivative

Awais M, Alshammari FS, Ullah S, Khan MA, Islam S.

Forecasting of the SARS-CoV-2 epidemic in India using SIR model, flatten curve and herd immunity

Venkatasen M, Mathivanan SK, Jayagopal P, Mani P, Rajendran S, Subramaniam U, Ramalingam AC, Rajasekaran VA, Indirajithu A, Sorakaya Somanathan M.

Data-Driven Modeling for Different Stages of Pandemic Response

Adiga A, Chen J, Marathe M, Mortveit H, Venkatramanan S, Vullikanti A.

A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy

Post LA, Argaw ST, Jones C, Moss CB, Resnick D, Singh LN, Murphy RL, Achenbach CJ, White J, Issa TZ, Boctor MJ, Oehmke JF.

Predicting spatial and temporal responses to non-pharmaceutical interventions on COVID-19 growth rates across 58 counties in New York State: A prospective event-based modeling study on county-level sociological predictors

Xiao Y.

Modeling COVID-19 infection risks for a single hand-to-fomite scenario and potential risk reductions offered by surface disinfection

Wilson AM, Weir MH, Bloomfield SF, Scott EA, Reynolds KA.

Efficient artificial intelligence forecasting models for COVID-19 outbreak in Russia and Brazil

Al-Qaness MAA, Saba AI, Elsheikh AH, Elaziz MA, Ibrahim RA, Lu S, Hemedan AA, Shanmugan S, Ewees AA.

Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil

Scabini LFS, Ribas LC, Neiva MB, Junior AGB, Farfán AJF, Bruno OM.

Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan

Shah K, Arfan M, Mahariq I, Ahmadian A, Salahshour S, Ferrara M.

Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai

Lee B, Hanley JP, Nowak S, Bates JHT, Hébert-Dufresne L.

Predictive modeling of COVID-19 death cases in Pakistan

Daniyal M, Ogundokun RO, Abid K, Khan MD, Ogundokun OE.

Global Forecasting Confirmed and Fatal Cases of COVID-19 Outbreak Using Autoregressive Integrated Moving Average Model

Dansana D, Kumar R, Das Adhikari J, Mohapatra M, Sharma R, Priyadarshini I, Le DN.

Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 containment

Freitas VLS, Moreira GJP, Santos LBL.

Mathematical Modeling and Robustness Analysis to Unravel COVID-19 Transmission Dynamics: The Italy Case

Antonini C, Calandrini S, Stracci F, Dario C, Bianconi F.

Forecasting the burden of COVID-19 hospitalized patients during the SARS-CoV-2 second wave in Lombardy, Italy

Gerli AG, Miozzo M, Centanni S, Fontana L, Chiumello D, Sotgiu G, La Vecchia C.

Epidemiological Impact of SARS-CoV-2 Vaccination: Mathematical Modeling Analyses

Makhoul M, Ayoub HH, Chemaitelly H, Seedat S, Mumtaz GR, Al-Omari S, Abu-Raddad LJ.

COVID-19 effective reproduction number dropped during Spain's nationwide dropdown, then spiked at lower-incidence regions

Santamaría L, Hortal J.

Quantitative analysis and mathematic modeling of the global outbreak of COVID-19

Jiang Y, Jiang X, Tong W, Zhou J.

A case report: Challenges in COVID-19 modeling at a public health department

Rogers M.

Spatial modeling could not differentiate early SARS-CoV-2 cases from the distribution of humans on the basis of climate in the United States

Harbert R, Cunningham SW, Tessler M.

Modeling aerosol transmission of SARS-CoV-2 in multi-room facility

Kennedy M, Lee SJ, Epstein M.

Modeling and forecasting the early evolution of the Covid-19 pandemic in Brazil

Bastos SB, Cajueiro DO.

Coronavirus Disease 2019 (COVID-19): A Modeling Study of Factors Driving Variation in Case Fatality Rate by Country

Pan J, St Pierre JM, Pickering TA, Demirjian NL, Fields BKK, Desai B, Gholamrezanezhad A.

Prediction Models for COVID-19 Need Further Improvements

Gu HQ, Wang J.

Estimating effective reproduction number using generation time versus serial interval, with application to covid-19 in the Greater Toronto Area, Canada

Knight J, Mishra S.

A modeling informed quantitative approach to salvage clinical trials interrupted due to COVID-19

Geerts H, van der Graaf P.

[Mathematical epidemiology and modeling of the Covid-19 pandemic: issues and diversity]

Djidjou-Demasse R, Selinger C, Sofonea MT.

Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia

Elsheikh AH, Saba AI, Elaziz MA, Lu S, Shanmugan S, Muthuramalingam T, Kumar R, Mosleh AO, Essa FA, Shehabeldeen TA.

[Forecasting the Pandemic: The Role of Mathematical Models]

Gomes MC, Nunes A, Nogueira J, Rebelo C, Viana J, Rozhnova G.

Long-Term Modeling of SARS-CoV-2 Infection of In Vitro Cultured Polarized Human Airway Epithelium

Hao S, Ning K, Kuz CA, Vorhies K, Yan Z, Qiu J.

Modeling the Impact of Unreported Cases of the COVID-19 in the North African Countries

Djilali S, Benahmadi L, Tridane A, Niri K.

Forecasting imported COVID-19 cases in South Korea using mobile roaming data

Choi SB, Ahn I.

A Computational Modeling Study of COVID-19 in Bangladesh

Khan IM, Haque U, Kaisar S, Rahman MS.

Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan

Naik PA, Yavuz M, Qureshi S, Zu J, Townley S.

Modeling the impact of delaying surgery for early esophageal cancer in the era of COVID-19

Shipe ME, Baechle JJ, Deppen SA, Gillaspie EA, Grogan EL.

Comparative study of ANN and Fuzzy classifier for forecasting Electrical activity of Heart to diagnose Covid-19

Nivethitha T, Kumar Palanisamy S, Mohanaprakash K, Jeevitha K.

Genomic Modeling as an Approach to Identify Surrogates for Use in Experimental Validation of SARS-CoV-2 and HuNoV Inactivation by UV-C Treatment

Pendyala B, Patras A, Pokharel B, D'Souza D.

Modeling a Pandemic (COVID-19) Management Strategy for Urban Slums Using Social Geometry Framework

Onditi F, Obimbo M, Muchina SK, Nyadera I.

Integrated environment-occupant-pathogen information modeling to assess and communicate room-level outbreak risks of infectious diseases

Li S, Xu Y, Cai J, Hu D, He Q.

Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking

Wang Y, Xu G, Huang YW.

Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach

Russo L, Anastassopoulou C, Tsakris A, Bifulco GN, Campana EF, Toraldo G, Siettos C.

IL-4/IL-13 remodeling pathway of COVID-19 lung injury

Vaz de Paula CB, de Azevedo MLV, Nagashima S, Martins APC, Malaquias MAS, Miggiolaro AFRDS, da Silva Motta Júnior J, Avelino G, do Carmo LAP, Carstens LB, de Noronha L.

The Values and Limitations of Mathematical Modeling to COVID-19 in the World: A Follow Up Report

Tang Y, Tang S, Wang S.

Testing the Accuracy of the ARIMA Models in Forecasting the Spreading of COVID-19 and the Associated Mortality Rate

Ilie OD, Ciobica A, Doroftei B.

Mathematical modeling of COVID-19 transmission: the roles of intervention strategies and lockdown

Bugalia S, Bajiya VP, Tripathi JP, Li MT, Sun GQ.

Molecular Basis of SARS-CoV-2 Infection and Rational Design of Potential Antiviral Agents: Modeling and Simulation Approaches

Francés-Monerris A, Hognon C, Miclot T, García-Iriepa C, Iriepa I, Terenzi A, Grandemange S, Barone G, Marazzi M, Monari A.

Are meteorological factors enhancing COVID-19 transmission in Bangladesh? Novel findings from a compound Poisson generalized linear modeling approach

Islam ARMT, Hasanuzzaman M, Shammi M, Salam R, Bodrud-Doza M, Rahman MM, Mannan MA, Huq S.

The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada - a mathematical modeling study of surveillance data

Godin A, Xia Y, Buckeridge DL, Mishra S, Douwes-Schultz D, Shen Y, Lavigne M, Drolet M, Schmidt AM, Brisson M, Maheu-Giroux M.

Membrane heist: Coronavirus host membrane remodeling during replication

Zhang J, Lan Y, Sanyal S.

Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region

Pernice S, Castagno P, Marcotulli L, Maule MM, Richiardi L, Moirano G, Sereno M, Cordero F, Beccuti M.

COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis

Alrasheed H, Althnian A, Kurdi H, Al-Mgren H, Alharbi S.

Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study

Góis AN, Laureano EE, Santos DDS, Sánchez DE, Souza LF, Vieira RCA, Oliveira JC, Santana-Santos E.

Forecasting spread of COVID-19 using Google Trends: A hybrid GWO-Deep learning approach

Prasanth S, Singh U, Kumar A, Tikkiwal VA, Chong PHJ.

Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data

Zhan C, Tse CK, Fu Y, Lai Z, Zhang H.

A text-mining analysis of public perceptions and topic modeling during the COVID-19 pandemic using Twitter data

Boon-Itt S.

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

Alagoz O, Sethi AK, Patterson BW, Churpek M, Safdar N.

Modeling the Impact of Delaying Bariatric Surgery due to COVID-19: a Decision Analysis

Shipe ME, Beeghly-Fadiel A, Deppen SA, English W, Grogan EL.

A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies

Baek YJ, Lee T, Cho Y, Hyun JH, Kim MH, Sohn Y, Kim JH, Ahn JY, Jeong SJ, Ku NS, Yeom JS, Lee J, Choi JY.

Evidence of 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.

On the modeling of the interaction between tumor growth and the immune system using some new fractional and fractional-fractal operators

Ghanbari B.

Modeling COVID-19 scenarios for the United States

IHME COVID-19 Forecasting Team.

Prognostic Utility of Right Ventricular Remodeling Over Conventional Risk Stratification in Patients With COVID-19

Kim J, Volodarskiy A, Sultana R, Pollie MP, Yum B, Nambiar L, Tafreshi R, Mitlak HW, RoyChoudhury A, Horn EM, Hriljac I, Narula N, Kim S, Ndhlovu L, Goyal P, Safford MM, Shaw L, Devereux RB, Weinsaft JW.

Modeling the Impact of Delaying the Diagnosis of Non-Small Cell Lung Cancer during COVID-19

Shipe ME, Haddad DN, Deppen SA, Kozower BD, Grogan EL.

Google Trends Data and COVID-19 in Europe: correlations and model enhancement are European wide

Sulyok M, Ferenci T, Walker M.

A minimal model for household effects in epidemics

Huber G, Kamb M, Kawagoe K, Li LM, Veytsman B, Yllanes D, Zigmond D.

Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index

Kayral Ä°E, Buzrul S.

Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search

Lobato FS, Libotte GB, Platt GM.

A Mathematical Model to Study the Effectiveness of Some of the Strategies Adopted in Curtailing the Spread of COVID-19

Baba IA, Baba BA, Esmaili P.

Prediction models for covid-19 outcomes

Sperrin M, McMillan B.

Time series modelling to forecast the confirmed and recovered cases of COVID-19

Maleki M, Mahmoudi MR, Wraith D, Pho KH.

Mental Models of Infectious Diseases and Public Understanding of COVID-19 Prevention

Southwell BG, Kelly BJ, Bann CM, Squiers LB, Ray SE, McCormack LA.

Comments on "ARIMA modelling & forecasting of COVID-19 in top five affected countries"(by Alok Kumar Sahai, Namita Rath, Vishal Sood, Manvendra Pratap Singh)

Kufel T, Kufel P.

A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics with implications for the current COVID-19 pandemic

O'Driscoll M, Harry C, Donnelly CA, Cori A, Dorigatti I.

On the use of growth models to understand epidemic outbreaks with application to COVID-19 data

Tovissodé CF, Lokonon BE, Glèlè Kakaï R.

Analysis of 'earlyR' epidemic model and Time Series model for prediction of COVID-19 registered cases

Kanagarathinam K, Algehyne EA, Sekar K.

Dynamics of the COVID-19 basic reproduction numbers in different countries

Yue T, Fan B, Zhao Y, Wilson J, Du Z, Wang Q, Yin X, Duan X, Zhao N, Fan Z, Lin H, Zhou C.

Stochastic mathematical model for the spread and control of Corona virus

Hussain S, Zeb A, Rasheed A, Saeed T.

Numerical simulation of the novel coronavirus spreading

Medrek M, Pastuszak Z.

Modeling of the adsorption of a protein-fragment on kaolinite with potential antiviral activity

Awad ME, Borrego-Sánchez A, Escamilla-Roa E, Hernández-Laguna A, Sainz-Díaz CI.

Corona COVID-19 Spread- a Nonlinear Modeling and Simulation

Harb AM, Harb SM.

Maximum entropy method for estimating the reproduction number: An investigation for COVID-19 in China and the United States

Tao Y.

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

Gaudou B, Huynh NQ, Philippon D, Brugière A, Chapuis K, Taillandier P, Larmande P, Drogoul A.

Study of transmission dynamics of COVID-19 mathematical model under ABC fractional order derivative

Thabet STM, Abdo MS, Shah K, Abdeljawad T.

COVID-19 Modeling in Saudi Arabia Using the Modified Susceptible-Exposed-Infectious-Recovered (SEIR) Model

Ahmad N.

Locally Informed Modeling to Predict Hospital and Intensive Care Unit Capacity During the COVID-19 Epidemic

Fort D, Seoane L, Unis GD, Price-Haywood EG.

Comparing the accuracy of several network-based COVID-19 prediction algorithms

Achterberg MA, Prasse B, Ma L, Trajanovski S, Kitsak M, Van Mieghem P.

Estimating COVID-19 prevalence and infection control practices among US dentists

Estrich CG, Mikkelsen M, Morrissey R, Geisinger ML, Ioannidou E, Vujicic M, Araujo MWB.

Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling Approach

Choi Y, Kim JS, Choi H, Lee H, Lee CH.

Basal-like Progenitor Cells: A Review of Dysplastic Alveolar Regeneration and Remodeling in Lung Repair

Fernanda de Mello Costa M, Weiner AI, Vaughan AE.

The inherent problems with the generalizability of the CALL score: towards reliable clinical prediction models for COVID-19

Yoshioka T, Funada S, Luo Y.

Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients' Recovery

Muhammad LJ, Islam MM, Usman SS, Ayon SI.

Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art

Shinde GR, Kalamkar AB, Mahalle PN, Dey N, Chaki J, Hassanien AE.

Prediction Models in Veterinary and Human Epidemiology: Our Experience With Modeling Sars-CoV-2 Spread

Halasa T, Græsbøll K, Denwood M, Christensen LE, Kirkeby C.

A Mathematical Model to Investigate the Transmission of COVID-19 in the Kingdom of Saudi Arabia

Alshammari FS.

Performance of Prediction Models for Covid-19: The Caudine Forks of the External Validation

Martin GP, Sperrin M, Sotgiu G.

Mathematical model of Boltzmann's sigmoidal equation applicable to the spreading of the coronavirus (Covid-19) waves

El Aferni A, Guettari M, Tajouri T.

Patch dynamics modeling framework from pathogens' perspective: Unified and standardized approach for complicated epidemic systems

Chen S, Owolabi Y, Li A, Lo E, Robinson P, Janies D, Lee C, Dulin M.

Modelling COVID 19 in the Basque Country from introduction to control measure response

Aguiar M, Ortuondo EM, Bidaurrazaga Van-Dierdonck J, Mar J, Stollenwerk N.

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

Nguyen N, Strnad O, Klein T, Luo D, Alharbi R, Wonka P, Maritan M, Autin L, Goodsell DS, Viola I.

Discrete SIR modelling using empirical infection data shows that SARS-CoV-2 infection provides short-term immunity

McMahon A, Robb NC.

Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study

van Zandvoort K, Jarvis CI, Pearson CAB, Davies NG; CMMID COVID-19 working group, Ratnayake R, Russell TW, Kucharski AJ, Jit M, Flasche S, Eggo RM, Checchi F.

Evolutionary game theory modelling to represent the behavioural dynamics of economic shutdowns and shield immunity in the COVID-19 pandemic

Kabir KMA, Tanimoto J.

Predicting the pandemic

Kurth T, Brinks R.

[The importance of transparency in building simulation models of the COVID-19 spread]

Sørup CM.

Modelling Propagation of COVID-19 in the UK

Jamshidi B, Bekrizadeh H, Jamshidi Zargaran S, Rezaei M.

The potential epidemiological impact of COVID-19 on the HIV/AIDS epidemic and the cost-effectiveness of linked, opt-out HIV testing: A modeling study in six US cities

Zang X, Krebs E, Chen S, Piske M, Armstrong WS, Behrends CN, Del Rio C, Feaster DJ, Marshall BDL, Mehta SH, Mermin J, Metsch LR, Schackman BR, Strathdee SA, Nosyk B.

COVID-19 risk stratification algorithms based on sTREM-1 and IL-6 in emergency department

Van Singer M, Brahier T, Ngai M, Wright J, Weckman AM, Erice C, Meuwly JY, Hugli O, Kain KC, Boillat-Blanco N.

Rising summer temperatures do not reduce the reproduction number of COVID-19

Sahafizadeh E, Sartoli S.

Predicting the Outbreak Risks and Inflection Points of COVID-19 Pandemic with Classic Ecological Theories

Ma ZS.

Time-continuous and time-discrete SIR models revisited: theory and applications

Wacker B, Schlüter J.

From the hospital scale to nationwide: observability and identification of models for the COVID-19 epidemic waves

Scharbarg E, Moog CH, Mauduit N, Califano C.

The Good, The Bad and The Ugly: A Mathematical Model Investigates the Differing Outcomes Among CoVID-19 Patients

Sahoo S, Jhunjhunwala S, Jolly MK.

A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece

Katris C.

What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model

Song S, Yao X, Wen N.

Characterization of partially observed epidemics through Bayesian inference: application to COVID-19

Safta C, Ray J, Sargsyan K.

Importance of Environmental Factors on Production of Computationally- Defined Natural Molecules against COVID-19 Pandemic

Abouleish M, El-Keblawy A, Mosa KA, Soliman SSM.

Four-tier response system and spatial propagation of COVID-19 in China by a network model

Ge J, He D, Lin Z, Zhu H, Zhuang Z.

Spatial variability in reproduction number and doubling time across two waves of the COVID-19 pandemic in South Korea, February to July 2020

Shim E, Tariq A, Chowell G.

Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

Lemey P, Hong SL, Hill V, Baele G, Poletto C, Colizza V, O'Toole Á, McCrone JT, Andersen KG, Worobey M, Nelson MI, Rambaut A, Suchard MA.

A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic

Della Rossa F, Salzano D, Di Meglio A, De Lellis F, Coraggio M, Calabrese C, Guarino A, Cardona-Rivera R, De Lellis P, Liuzza D, Lo Iudice F, Russo G, di Bernardo M.

Molecular modeling study of tectoquinone and acteoside from Tectona grandis linn: a new SARS-CoV-2 main protease inhibitor against COVID-19

Kallingal A, Thachan Kundil V, Ayyolath A, Karlapudi AP, Muringayil Joseph T, E JV.

Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers During the COVID-19 Pandemic: A Modeling Analysis

Sadria M, Layton AT.

[Predictive modeling to estimate the demand for intensive care hospital beds nationwide in the context of the COVID-19 pandemic]

Peña VH, Espinosa A.

Forecasting daily confirmed COVID-19 cases in Malaysia using ARIMA models

Singh S, Murali Sundram B, Rajendran K, Boon Law K, Aris T, Ibrahim H, Chandra Dass S, Singh Gill B.

Scientific Publications During the Early Phase of the COVID-19 Pandemic: A Topic Modeling Study

Älgå A, Eriksson O, Nordberg M.

A Multiscale Absorption and Transit (MAT) model for oral delivery of Hydroxychloroquine: Pharmacokinetic modeling and intestinal concentration prediction to assess toxicity and drug-induced damage in healthy subjects

Kannan R, Przekwas A.

Estimation of the basic reproduction number (R0) for the novel coronavirus disease in Sri Lanka

Dharmaratne S, Sudaraka S, Abeyagunawardena I, Manchanayake K, Kothalawala M, Gunathunga W.

In-host Mathematical Modelling of COVID-19 in Humans

Hernandez-Vargas EA, Velasco-Hernandez JX.

Crowding and the shape of COVID-19 epidemics

Rader B, Scarpino SV, Nande A, Hill AL, Adlam B, Reiner RC, Pigott DM, Gutierrez B, Zarebski AE, Shrestha M, Brownstein JS, Castro MC, Dye C, Tian H, Pybus OG, Kraemer MUG.

The Risk Distribution of COVID-19 in Indonesia: A Spatial Analysis

Eryando T, Sipahutar T, Rahardiantoro S.

Modelling the dynamics of exchanged novel coronavirus (2019-nCov) between regions in terms of time and space

Fioranelli M, Roccia MG, Beesham A.

Estimation of infection density and epidemic size of COVID-19 using the back-calculation algorithm

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

Modeling the spread of COVID-19 on construction workers: An agent-based approach

Araya F.

Mathematical model and COVID-19

Grillo Ardila EK, Santaella-Tenorio J, Guerrero R, Bravo LE.

Simulation of pooled-sample analysis strategies for COVID-19 mass testing

Deckert A, Bärnighausen T, Kyei NN.

Ensemble forecast modeling for the design of COVID-19 vaccine efficacy trials

Dean NE, Pastore Y Piontti A, Madewell ZJ, Cummings DAT, Hitchings MDT, Joshi K, Kahn R, Vespignani A, Halloran ME, Longini IM Jr.

Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α-Sutte Indicator

Wang Y, Xu C, Yao S, Zhao Y.

Reconciling model predictions with low reported cases of COVID-19 in Sub-Saharan Africa: insights from Madagascar

Evans MV, Garchitorena A, Rakotonanahary RJL, Drake JM, Andriamihaja B, Rajaonarifara E, Ngonghala CN, Roche B, Bonds MH, Rakotonirina J.

Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis

Eshragh A, Alizamir S, Howley P, Stojanovski E.

Molecular Simulations and Network Modeling Reveal an Allosteric Signaling in the SARS-CoV-2 Spike Proteins

Verkhivker GM.

Θ-SEIHRD mathematical model of Covid19-stability analysis using fast-slow decomposition

Nave O, Hartuv I, Shemesh U.

The intersection of the online vaping narrative with COVID-19: Topic modelling study

Janmohamed K, Soale AN, Forastiere L, Tang W, Sha Y, Demant J, Airoldi E, Kumar N.

An ace model for SARS-CoV-2 infection

Major J, Wack A.

The usefulness of NEWS2 at day 7 of hospitalization in predicting COVID-19 evolution and as an early endpoint in therapeutic trials

Sixt T, Moretto F, Devilliers H, Abdallahoui M, Eberl I, Rogier T, Duong M, Salmon-Rousseau A, Mahy S, Buisson M, Esteve C, Chavanet P, Catherine F, Blot M, Piroth L.

Estimative of real number of infections by COVID-19 in Brazil and possible scenarios

Cintra HPC, Fontinele FN.

Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases

de Oliveira ACS, Morita LHM, da Silva EB, Zardo LAR, Fontes CJF, Granzotto DCT.

Models for COVID-19 Pandemic: A Comparative Analysis

Adiga A, Dubhashi D, Lewis B, Marathe M, Venkatramanan S, Vullikanti A.

Variational Disentanglement for Rare Event Modeling

Xiu Z, Tao C, Gao M, Davis C, Goldstein B, Henao R.

Data-driven modeling for different stages of pandemic response

Adiga A, Chen J, Marathe M, Mortveit H, Venkatramanan S, Vullikanti A.

Tailoring Time Series Models For Forecasting Coronavirus Spread: Case Studies of 187 Countries

Ismail L, Materwala H, Znati T, Turaev S, Khan MAB.

Corrigendum to "Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan" [Chaos Solitons Fractals 135 (2020), 109846]

Ndaïrou F, Area I, Bader G, Nieto JJ, Torres DFM.

The prediction for development of COVID-19 in global major epidemic areas through empirical trends in China by utilizing state transition matrix model

Zheng Z, Wu K, Yao Z, Zheng X, Zheng J, Chen J.

Data Analytics for Predicting COVID-19 Cases in Top Affected Countries: Observations and Recommendations

Eltoukhy AEE, Shaban IA, Chan FTS, Abdel-Aal MAM.

The Neurosphere Simulator: An educational online tool for modeling neural stem cell behavior and tissue growth

Zupanc GKH, Lehotzky D, Tripp IP.

Leveraging Computational Modeling to Understand Infectious Diseases

Jenner AL, Aogo RA, Davis CL, Smith AM, Craig M.

Hospital characteristics and COVID-19: Hidden figures in COVID-19 risk models

Danesh V, Arroliga A.

Modeling the transmission dynamics and the impact of the control interventions for the COVID-19 epidemic outbreak

Saldaña F, Flores-Arguedas H, Camacho-Gutiérrez JA, Barradas I.

Phase-adjusted estimation of the COVID-19 outbreak in South Korea under multi-source data and adjustment measures: a modelling study

Feng XM, Chen J, Wang K, Wang L, Zhang FQ, Jin Z, Zou L, Wang X.

Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK

Feng LX, Jing SL, Hu SK, Wang DF, Huo HF.

Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis

Wang K, Lu ZZ, Wang XM, Li H, Li HL, Lin DD, Cai YL, Feng X, Song YT, Feng ZW, Ji WD, Wang XY, Yin Y, Wang L, Peng ZH.

Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

Liu ZH, Magal P, Seydi O, Webb G.

Modeling analysis of COVID-19 based on morbidity data in Anhui, China

Tian JJ, Wu JB, Bao YT, Weng XY, Shi L, Liu BB, Yu XY, Qi LX, Liu ZR.

A discrete stochastic model of the COVID-19 outbreak: Forecast and control

He S, Tang SY, Rong L.

A quick prediction tool for unfavourable outcome in COVID-19 inpatients: Development and internal validation

Salto-Alejandre S, Roca-Oporto C, Martín-Gutiérrez G, Avilés MD, Gómez-González C, Navarro-Amuedo MD, Praena-Segovia J, Molina J, Paniagua-García M, García-Delgado H, Domínguez-Petit A, Pachón J, Cisneros JM.

A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by SARS-CoV-2 Virus

Gao X, Dong Q.

Modeling lung perfusion abnormalities to explain early COVID-19 hypoxemia

Herrmann J, Mori V, Bates JHT, Suki B.

Prediction models for COVID-19 clinical decision making

Leeuwenberg AM, Schuit E.

Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study

Dawoud I.

Predicting the evolution and control of the COVID-19 pandemic in Portugal

Pais RJ, Taveira N.

Modeling the effects of contact tracing on COVID-19 transmission

Traoré A, Konané FV.

Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic

Cooper I, Mondal A, Antonopoulos CG.

Mathematical modeling, analysis and numerical simulation of the COVID-19 transmission with mitigation of control strategies used in Cameroon

Djaoue S, Guilsou Kolaye G, Abboubakar H, Abba Ari AA, Damakoa I.

Forecasting of COVID-19 pandemic: From integer derivatives to fractional derivatives

Nabi KN, Abboubakar H, Kumar P.

COVID-19 pandemic in India: a mathematical model study

Biswas SK, Ghosh JK, Sarkar S, Ghosh U.

Transmission dynamics and control methodology of COVID-19: A modeling study

Zhu H, Li Y, Jin X, Huang J, Liu X, Qian Y, Tan J.

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

Shamsoddin E.

Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study

Gupta RK, Marks M, Samuels THA, Luintel A, Rampling T, Chowdhury H, Quartagno M, Nair A, Lipman M, Abubakar I, van Smeden M, Wong WK, Williams B, Noursadeghi M; UCLH COVID-19 Reporting Group.

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.

predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019

Schwab P, Schütte DuMont A, Dietz B, Bauer S.

A descriptive study of random forest algorithm for predicting COVID-19 patients outcome

Wang J, Yu H, Hua Q, Jing S, Liu Z, Peng X, Cao C, Luo Y.

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.

[Mathematical approach of the SIR epidemiological model for the comprehension of the containment measures against the Covid-19.]

Wilches Visbal JH, Castillo Pedraza MC.

[The Current Situation and the Future of a Medical Institution and the Academic Society by COVID-19]

Iida K.

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

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

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

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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

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

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Delhi prepares to hit 500‚Äâ000 covid-19 cases

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

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

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

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

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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

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

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

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Statistical analysis and visualization of the potential cases of pandemic coronavirus

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

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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

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

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

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

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Predicting covid-19 resurgence: do it locally

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

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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

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

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

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

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

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

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Forecasting of COVID-19: transmission models and beyond

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A COVID-19 model

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

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

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

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

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

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

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

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

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

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

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

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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

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