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.

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.

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.

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.

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.

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.

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

Pizzichini MMM, Patino CM, Ferreira JC.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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The COVID-19 Infection in Italy: A Statistical Study of an Abnormally Severe Disease

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When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19

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SEIR Modeling of the Italian Epidemic of SARS-CoV-2 Using Computational Swarm Intelligence

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Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea

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

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Covid-19 guidance algorithm for advanced head and neck cancer reconstruction

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Relationship between odor intensity estimates and COVID-19 prevalence prediction in a Swedish population

Iravani B, Arshamian A, Ravia A, Mishor E, Snitz K, Shushan S, Roth Y, Perl O, Honigstein D, Weissgross R, Karagach S, Ernst G, Okamoto M, Mainen Z, Monteleone E, Dinnella C, Spinelli S, Mariño-Sánchez F, Ferdenzi C, Smeets M, Touhara K, Bensafi M, Hummel T, Sobel N, Lundström JN.

A simple algorithm helps early identification of SARS-CoV-2 infection patients with severe progression tendency

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Demand-capacity modelling and Covid-19 disease: identifying themes for future NHS planning

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COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy

Chintalapudi N, Battineni G, Sagaro GG, Amenta F.

What Is the Role for Algorithmics and Computational Biology in Responding to the COVID-19 Pandemic?

Combat COVID-19 with artificial intelligence and big data

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Increase in Covid-19 Cases and Case Fatality and Case Recovery Rates in Europe: A Cross Temporal Meta-Analysis

Karadağ E.

Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model

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Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China

Wangping J, Ke H, Yang S, Wenzhe C, Shengshu W, Shanshan Y, Jianwei W, Fuyin K, Penggang T, Jing L, Miao L, Yao H.

The basic reproduction number of SARS-CoV-2 in Wuhan is about to die out, how about the rest of the World?

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Dynamic interventions to control COVID-19 pandemic: a multivariate prediction modelling study comparing 16 worldwide countries

Chowdhury R, Heng K, Shawon MSR, Goh G, Okonofua D, Ochoa-Rosales C, Gonzalez-Jaramillo V, Bhuiya A, Reidpath D, Prathapan S, Shahzad S, Althaus CL, Gonzalez-Jaramillo N, Franco OH; Global Dynamic Interventions Strategies for COVID-19 Collaborative Group.

The Rising Number of COVID-19 Cases Reflecting Growing Search Trend and Concern of People: A Google Trend Analysis of Eight Major Countries

Sharma M, Sharma S.

Forecasting COVID-19-Associated Hospitalizations under Different Levels of Social Distancing in Lombardy and Emilia-Romagna, Northern Italy: Results from an Extended SEIR Compartmental Model

Reno C, Lenzi J, Navarra A, Barelli E, Gori D, Lanza A, Valentini R, Tang B, Fantini MP.

Modeling COVID-19 latent prevalence to assess a public health intervention at a state and regional scale

Turk PJ, Chou SH, Kowalkowski MA, Palmer PP, Priem JS, Spencer MD, Taylor YJ, McWilliams AD.

Novel approaches to estimate compliance with lockdown measures in the COVID-19 pandemic

Sheikh A, Sheikh Z, Sheikh A.

A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions

Rainisch G, Undurraga EA, Chowell G.

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Reflections on the impact of "flatten the curve" on interdependent workforce sectors

Santos J.

COVID-19 virus case fatality rate: How to avoid errors in calculation of data during the outbreak?

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Epidemic curve and reproduction number of COVID-19 in Iran.

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Back-projection of COVID-19 diagnosis counts to assess infection incidence and control measures: Analysis of Australian data.

Marschner IC.

Predicted Effects of Stopping COVID-19 Lockdown on Italian Hospital Demand.

Bollon J, Paganini M, Nava CR, De Vita N, Vaschetto R, Ragazzoni L, Della Corte F, Barone-Adesi F.

Comment on Matricardi PM et al.: The first, holistic immunological model of COVID-19: implications for prevention, diagnosis, and public health measures.

Mirijello A, D'Errico MM, Lamarca A, Piscitelli P, De Cosmo S.

Early SARS-CoV-2 outbreak detection by sewage-based epidemiology

Orive G, Lertxundi U, Barcelo D.

Failure modes and effect analysis to develop transfer protocols in the management of COVID-19 patients

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The disguised pandemic: the importance of data normalization in COVID-19 web mapping

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Genetic predisposition models to COVID-19 infection

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Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment

Yang Z, Li X, Garg H, Qi M.

Wrong but Useful - What Covid-19 Epidemiologic Models Can and Cannot Tell Us.

Holmdahl I, Buckee C.

Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO's Situation Reports.

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High SARS-CoV-2 Attack Rate Following Exposure at a Choir Practice - Skagit County, Washington, March 2020.

Hamner L, Dubbel P, Capron I, Ross A, Jordan A, Lee J, Lynn J, Ball A, Narwal S, Russell S, Patrick D, Leibrand H.

A model based study on the dynamics of COVID-19: Prediction and control.

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

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

Mining the characteristics of COVID-19 Patients: Based on Social media of China.

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Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020.

A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model.

Rocchi E, Peluso S, Sisti D, Carletti M.

Still using MS Excel? Implementation of the WHO Go.Data software for the COVID-19 contact tracing.

Llupià A, Garcia-Basteiro A, Puig J.

Covid-19: What is the R number?

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Covid-19: Government must change course or risk further wave of infections, scientists warn.

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Monitoring the COVID-19 pandemic in sub-Saharan Africa: focusing on health facility admissions and deaths.

Using Early Data to Estimate the Actual Infection Fatality Ratio from COVID-19 in France.

Predicting COVID-19 in China Using Hybrid AI Model.

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets.

Clinical characteristics of Coronavirus Disease 2019 and development of a prediction model for prolonged hospital length of stay.

Development of New Hybrid Model of Discrete Wavelet Decomposition and Autoregressive Integrated Moving Average (ARIMA) Models in Application to One Month Forecast the Casualties Cases of COVID-19.

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

COVID-19: Generate and apply local modelled Transmission and Morbidity effects to provide an estimate of the variation in overall Relative Healthcare Resource Impact at General Practice Granularity.

Stedman M, Lunt M, Davies M, Gibson M, Heald A.

The Prediction of COVID-19 Pandemic for top-15 Affected Countries using advance ARIMA model.

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Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis.

Early Prediction of the 2019 Novel Coronavirus Outbreak in the Mainland China Based on Simple Mathematical Model.

A multi-region discrete time mathematical modeling of the dynamics of Covid-19 virus propagation using optimal control.

On a Comprehensive Model of the Novel Coronavirus (COVID-19) Under Mittag-Leffler Derivative.

Time Series Forecasting of COVID-19 transmission in Canada Using LSTM Networks.

[Contagiousness and secondary attack rate of 2019 novel coronavirus based on cluster epidemics of COVID-19 in Guangzhou].

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How should we overcome the threat by the pandemic of 2019-nCoV? Epidemic simulation using the SIRS model.

Inamo J.

A primer on COVID-19 Mathematical Models.

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Modelling the impact of COVID-19 on intensive care services in New South Wales.

Fox GJ, Trauer JM, McBryde E.

Significant Applications of Big Data in COVID-19 Pandemic.

Haleem A, Javaid M, Khan IH, Vaishya R.

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Estimating the COVID-19 infection rate: Anatomy of an inference problem.

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Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess".

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Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2.

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Calculating an institutional personal protective equipment (PPE) burn rate to project future usage patterns during the 2020 SARS-CoV-2 pandemic.

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Understanding the binding affinity of noscapines with protease of SARS-CoV-2 for COVID-19 using MD simulations at different temperatures.

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The first, holistic immunological model of COVID-19: implications for prevention, diagnosis, and public health measures.

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Mathematical Modeling of Interaction between Innate and Adaptive Immune Responses in COVID-19 and Implications for Viral Pathogenesis.

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Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China.

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Call for transparency of COVID-19 models.

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Containing COVID-19 among 627,386 Persons Contacting with Diamond Princess Cruise Ship Passengers Disembarked in Taiwan: Big Data Analytics.

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Does Cigarette Smoking Protect Against SARS-CoV-2 Infection?

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Modeling SARS-CoV-2 positivity using laboratory data: timing is everything.

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Annals On Call - Surge Modeling for COVID-19.

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A COVID-19 epidemic model with latency period.

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

A simple model for COVID-19.

Arino J, Portet S.

Excess Mortality Estimation During the COVID-19 Pandemic: Preliminary Data from Portugal.

Nogueira PJ, Nobre MA, Nicola PJ, Furtado C, Vaz Carneiro A.

Evaluating the Effectiveness of Social Distancing Interventions to Delay or Flatten the Epidemic Curve of Coronavirus Disease.

Matrajt L, Leung T.

Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan.

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

Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach.

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[Discussion on early warning, prevention and control of emerging infectious diseases from a macroscopic perspective based on big data and effective distance model: enlightenment of COVID-19 epidemic data in China].

Wang ZK, Chen ZS, Du AH, Wang CY, Liu H, Wang ZW, Hu JF.

Mathematic Modeling of COVID-19 in the United States.

Tang Y, Wang S.

Can we predict the occurrence of COVID-19 cases? Considerations using a simple model of growth.

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Preliminary estimating the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020.

Zhuang Z, Zhao S, Lin Q, Cao P, Lou Y, Yang L, Yang S, He D, Xiao L.

Modeling infectious disease dynamics.

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Can mathematical modelling solve the current Covid-19 crisis?

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Estimating the Effects of Asymptomatic and Imported Patients on COVID-19 Epidemic Using Mathematical Modeling.

Sun T, Weng D.

Optimization of group size in pool testing strategy for SARS-CoV-2: A simple mathematical model.

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Understanding Epidemic Data and Statistics: A case study of COVID-19.

Hoseinpour Dehkordi A, Alizadeh M, Derakhshan P, Babazadeh P, Jahandideh A.

Coronavirus (COVID-19) Assessments and the Importance of Calculating the Probability of Illness.

Stovitz SD.

SBDiEM: A new Mathematical model of Infectious Disease Dynamics.

Bekiros S, Kouloumpou D.

Dynamic models for Coronavirus Disease 2019 and data analysis.

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The reproductive number R0 of COVID-19 in Peru: An opportunity for effective changes.

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Projecting the demand for ventilators at the peak of the COVID-19 outbreak in the USA.

Wells CR, Fitzpatrick MC, Sah P, Shoukat A, Pandey A, El-Sayed AM, Singer BH, Moghadas SM, Galvani AP.

Accurate Statistics on COVID-19 Are Essential for Policy Guidance and Decisions.

Pearce N, Vandenbroucke JP, VanderWeele TJ, Greenland S.

Population-Based Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States.

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Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy.

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Covid-19: Simulation models for epidemics.

Kristiansen IS, Burger EA, Blasio BF.

Transparency and information sharing could help abate the COVID-19 pandemic.

Rahimi F, Talebi Bezmin Abadi A.

Outbreak trends of CoronaVirus (COVID-19) in India: A Prediction.

Tiwari S, Kumar S, Guleria K.

Naive Forecast for COVID-19 in Utah Based on the South Korea and Italy Models-the Fluctuation between Two Extremes.

Qeadan F, Honda T, Gren LH, Dailey-Provost J, Benson LS, VanDerslice JA, Porucznik CA, Waters AB, Lacey S, Shoaf K.

Estimation of Coronavirus Disease Case-Fatality Risk in Real Time.

Ge Y, Sun S.

Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries.

Zhang X, Ma R, Wang L.

Distinct Viral Clades of SARS-CoV-2: Implications for Modeling of Viral Spread.

Brufsky A.

Following Data as it Crosses Borders During the COVID-19 Pandemic.

Plasek JM, Tang C, Zhu Y, Huang Y, Bates DW.

Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations.

Ciufolini I, Paolozzi A.

Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study.

Shojaee S, Pourhoseingholi MA, Ashtari S, Vahedian-Azimi A, Asadzadeh-Aghdaei H, Zali MR.

Analysis and forecast of COVID-19 spreading in China, Italy and France.

Fanelli D, Piazza F.

MSMA Recommends Shelter-In-Place to Missouri Governor to Curb COVID-19.

[No authors listed]

Today's Leadership Lesson: Mind the Wildlife and Prepare for Tomorrow's Disruption.

Shore DA.

Advanced forecasting of SARS-CoV-2 related deaths in Italy, Germany, Spain, and New York State.

Sotgiu G, Gerli GA, Centanni S, Miozzo M, Canonica GW, Soriano JB, Virchow C.

Covid-19 epidemic in Italy: evolution, projections and impact of government measures.

Sebastiani G, Massa M, Riboli E.

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.

Shi F, Wang J, Shi J, Wu Z, Wang Q, Tang Z, He K, Shi Y, Shen D.

Flattening-the-curve associated with reduced COVID-19 case fatality rates- an ecological analysis of 65 countries.

Kenyon C.

COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach.

Chintalapudi N, Battineni G, Amenta F.

Modelling the epidemic spread of COVID-19 virus infection in Northern African countries.

Daw MA, El-Bouzedi AH.

A Need for Data-driven Public Health Responses to COVID-19.

Twa MD.

Calculate the COVID-19 equation with the people's energy as key variable.

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COVID-19: Time for precision epidemiology.

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Estimation of basic reproduction number for COVID-19 and the reasons for its differences.

Najafimehr H, Mohamed Ali K, Safari S, Yousefifard M, Hosseini M.

Demographic science aids in understanding the spread and fatality rates of COVID-19.

Dowd JB, Andriano L, Brazel DM, Rotondi V, Block P, Ding X, Liu Y, Mills MC.

Understanding Dynamics of Pandemics.

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Crushing the curve, the role of national and international institutions and policy makers in COVID-19 pandemic.

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Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes.

Kim S, Seo YB, Jung E.

Prediction of the number of deaths in India due to SARS-CoV-2 at 5-6 weeks.

Ghosal S, Sengupta S, Majumder M, Sinha B.

The Utah Model: mental bandwidth and strategic risk generation in COVID-19 airway management.

Runnels S, Ferranti D, Davis AN, Pollard J.

Pandemic Surge Models in the Time of Severe Acute Respiratory Syndrome Coronavirus-2: Wrong or Useful?

Wong JB.

Estimating the Maximum Capacity of COVID-19 Cases Manageable per Day Given a Health Care System's Constrained Resources.

Giannakeas V, Bhatia D, Warkentin MT, Bogoch II, Stall NM.

Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections.

Jewell NP, Lewnard JA, Jewell BL.

A Tool to Early Predict Severe Corona Virus Disease 2019 (COVID-19) : A Multicenter Study using the Risk Nomogram in Wuhan and Guangdong, China.

Gong J, Ou J, Qiu X, Jie Y, Chen Y, Yuan L, Cao J, Tan M, Xu W, Zheng F, Shi Y, Hu B.

To monitor the COVID-19 pandemic we need better quality primary care data.

de Lusignan S, Williams J.

Data Mining and Content Analysis of Chinese Social Media Platform Weibo During Early COVID-19 Outbreak: A Retrospective Observational Infoveillance Study.

Li J, Xu Q, Cuomo R, Purushothaman V, Mackey T.

1,000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic.

Koczkodaj WW, Mansournia MA, Pedrycz W, Wolny-Dominiak A, Zabrodskii PF, Strzaška D, Armstrong T, Zolfaghari AH, Debski M, Mazurek J.

Propagation analysis and prediction of the COVID-19.

Li L, Yang Z, Dang Z, Meng C, Huang J, Meng H, Wang D, Chen G, Zhang J, Peng H, Shao Y.

Determining the spatial effects of COVID-19 using the spatial panel data model.

Guliyev H.

COVID-19 Severity Scoring Tool for low resourced settings.

Wallis LA.

The inflection point about COVID-19 may have passed.

Gu C, Zhu J, Sun Y, Zhou K, Gu J.

On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak.

Zhu Y, Chen YQ.

Biological and Epidemiological Trends in the Prevalence and Mortality due to Outbreaks of Novel Coronavirus COVID-19.

Meo SA, Al-Khlaiwi T, Usmani AM, Meo AS, Klonoff DC, Hoang TD.

Healthcare impact of COVID-19 epidemic in India: A stochastic mathematical model.

Chatterjee K, Chatterjee K, Kumar A, Shankar S.

[Distributions of time, place, and population of novel coronavirus disease 2019 (COVID-19) from January 20 to February 10, 2020, in China].

Jin L, Zhao Y, Zhou J, Tao M, Yang Y, Wang X, Ye P, Shan S, Yuan H.

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period.

Kissler SM, Tedijanto C, Goldstein E, Grad YH, Lipsitch M.

Prediction models for diagnosis and prognosis in Covid-19.

Sperrin M, Grant SW, Peek N.

The model of epidemic (COVID-19) prevention and control in rural of China.

Fu B, Fu X.

Methodological challenges of analysing COVID-19 data during the pandemic.

Wolkewitz M, Puljak L.

Caution Warranted: Using the Institute for Health Metrics and Evaluation Model for Predicting the Course of the COVID-19 Pandemic.

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Why is it difficult to accurately predict the COVID-19 epidemic?

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IDM editorial statement on the 2019-nCoV.

Shao Y, Wu J.

Investigating the cases of novel coronavirus disease (COVID-19) in China using dynamic statistical techniques.

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A data driven time-dependent transmission rate for tracking an epidemic: a case study of 2019-nCoV.

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Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case.

Ivanov D.

D(2)EA: Depict the Epidemic Picture of COVID-19.

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Preliminary Assessment of the COVID-19 Outbreak Using 3-Staged Model e-ISHR.

Li S, Song K, Yang B, Gao Y, Gao X.

CIRD-F: Spread and Influence of COVID-19 in China.

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Prediction of COVID-19 Outbreak in China and Optimal Return Date for University Students Based on Propagation Dynamics.

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Demand Analysis and Management Suggestion: Sharing Epidemiological Data Among Medical Institutions in Megacities for Epidemic Prevention and Control.

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