# | Title | Journal | Year | Citations |
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1 | To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic | Infectious Disease Modelling | 2020 | 911 |
2 | An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov) | Infectious Disease Modelling | 2020 | 573 |
3 | Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020 | Infectious Disease Modelling | 2020 | 534 |
4 | Why is it difficult to accurately predict the COVID-19 epidemic? | Infectious Disease Modelling | 2020 | 467 |
5 | Reproduction numbers of infectious disease models | Infectious Disease Modelling | 2017 | 421 |
6 | Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts | Infectious Disease Modelling | 2017 | 273 |
7 | Mathematical epidemiology: Past, present, and future | Infectious Disease Modelling | 2017 | 241 |
8 | Transmission potential of the novel coronavirus (COVID-19) onboard the diamond Princess Cruises Ship, 2020 | Infectious Disease Modelling | 2020 | 222 |
9 | Estimating epidemic exponential growth rate and basic reproduction number | Infectious Disease Modelling | 2020 | 218 |
10 | A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis | Infectious Disease Modelling | 2017 | 205 |
11 | Propagation analysis and prediction of the COVID-19 | Infectious Disease Modelling | 2020 | 201 |
12 | A primer on model selection using the Akaike Information Criterion | Infectious Disease Modelling | 2020 | 182 |
13 | A COVID-19 epidemic model with latency period | Infectious Disease Modelling | 2020 | 181 |
14 | Will an imperfect vaccine curtail the COVID-19 pandemic in the U.S.? | Infectious Disease Modelling | 2020 | 148 |
15 | A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations | Infectious Disease Modelling | 2021 | 98 |
16 | A simple model for COVID-19 | Infectious Disease Modelling | 2020 | 84 |
17 | Mathematical modeling of COVID-19 epidemic with effect of awareness programs | Infectious Disease Modelling | 2021 | 83 |
18 | Mathematical models of SIR disease spread with combined non-sexual and sexual transmission routes | Infectious Disease Modelling | 2017 | 82 |
19 | COVID-19 epidemic prediction and the impact of public health interventions: A review of COVID-19 epidemic models | Infectious Disease Modelling | 2021 | 67 |
20 | On the reliability of predictions on Covid-19 dynamics: A systematic and critical review of modelling techniques | Infectious Disease Modelling | 2021 | 63 |
21 | Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example | Infectious Disease Modelling | 2020 | 61 |
22 | Predictive modelling of COVID-19 confirmed cases in Nigeria | Infectious Disease Modelling | 2020 | 61 |
23 | Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic | Infectious Disease Modelling | 2020 | 58 |
24 | Some models for epidemics of vector-transmitted diseases | Infectious Disease Modelling | 2016 | 56 |
25 | Modeling the impact of quarantine during an outbreak of Ebola virus disease | Infectious Disease Modelling | 2019 | 55 |
26 | Early transmission dynamics of COVID-19 in a southern hemisphere setting: Lima-Peru: February 29th–March 30th, 2020 | Infectious Disease Modelling | 2020 | 55 |
27 | Mathematical model of Zika virus with vertical transmission | Infectious Disease Modelling | 2017 | 50 |
28 | Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt | Infectious Disease Modelling | 2020 | 47 |
29 | In-host modeling | Infectious Disease Modelling | 2017 | 45 |
30 | Analysis of the outbreak of COVID-19 in Japan by SIQR model | Infectious Disease Modelling | 2020 | 44 |
31 | Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections | Infectious Disease Modelling | 2021 | 43 |
32 | Generalized logistic growth modeling of the COVID-19 pandemic in Asia | Infectious Disease Modelling | 2020 | 42 |
33 | Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China | Infectious Disease Modelling | 2020 | 40 |
34 | Bidirectional impact of imperfect mask use on reproduction number of COVID-19: A next generation matrix approach | Infectious Disease Modelling | 2020 | 38 |
35 | Contact tracing – Old models and new challenges | Infectious Disease Modelling | 2021 | 38 |
36 | Evaluation of the effect of the state of emergency for the first wave of COVID-19 in Japan | Infectious Disease Modelling | 2020 | 36 |
37 | Climate variability and infectious diseases nexus: Evidence from Sweden | Infectious Disease Modelling | 2017 | 34 |
38 | Estimating effective reproduction number using generation time versus serial interval, with application to covid-19 in the Greater Toronto Area, Canada | Infectious Disease Modelling | 2020 | 32 |
39 | Mathematical model of zika virus dynamics with vector control and sensitivity analysis | Infectious Disease Modelling | 2020 | 31 |
40 | COVID-19 prevalence estimation: Four most affected African countries | Infectious Disease Modelling | 2020 | 30 |
41 | Is it growing exponentially fast? – Impact of assuming exponential growth for characterizing and forecasting epidemics with initial near-exponential growth dynamics | Infectious Disease Modelling | 2016 | 29 |
42 | Optimal control and cost-effective analysis of the 2017 meningitis outbreak in Nigeria | Infectious Disease Modelling | 2019 | 29 |
43 | The Covid-19 outbreak in Spain. A simple dynamics model, some lessons, and a theoretical framework for control response | Infectious Disease Modelling | 2020 | 29 |
44 | 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 | Infectious Disease Modelling | 2021 | 29 |
45 | Long-term predictors of dengue outbreaks in Bangladesh: A data mining approach | Infectious Disease Modelling | 2018 | 28 |
46 | Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm | Infectious Disease Modelling | 2022 | 28 |
47 | Modeling the role of public health education in Ebola virus disease outbreaks in Sudan | Infectious Disease Modelling | 2017 | 26 |
48 | Epidemics on networks: Reducing disease transmission using health emergency declarations and peer communication | Infectious Disease Modelling | 2020 | 26 |
49 | Optimizing COVID-19 vaccination programs during vaccine shortages | Infectious Disease Modelling | 2022 | 26 |
50 | Mathematical modelling for Zoonotic Visceral Leishmaniasis dynamics: A new analysis considering updated parameters and notified human Brazilian data | Infectious Disease Modelling | 2017 | 25 |