ArticlePrecision clinical medicine2020
An evaluation of mathematical models for the outbreak of COVID-19.
Article in Precision clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The Role of Mathematical Modelling in Predicting and Controlling Infectious Disease Outbreaks in Underserved Settings: A Systematic Review and Meta-Analysis.Public health challenges · 2025Review
- An ensemble approach improves the prediction of the COVID-19 pandemic in South Korea.Journal of global health · 2025Article
- Article
- A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility.Nonlinear dynamics · 2023Article
- Optimal lockdown policy for vaccination during COVID-19 pandemic.Finance research letters · 2022Article
- Influence of state reopening policies in COVID-19 mortality.Scientific reports · 2022Article
- Mathematical analysis of the dynamics of COVID-19 in Africa under the influence of asymptomatic cases and re-infection.Mathematical methods in the applied sciences · 2022Article
- Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic.Stochastic environmental research and risk assessment : research journal · 2022Article
- The propagation effect of commuting to work in the spatial transmission of COVID-19.Journal of geographical systems · 2022Article
- A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas.Viruses · 2021Review
- A review of mathematical model-based scenario analysis and interventions for COVID-19.Computer methods and programs in biomedicine · 2021Review
- Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.Diagnostics (Basel, Switzerland) · 2021Review
- Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil.Sensors (Basel, Switzerland) · 2021Article
- Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review.JMIR medical informatics · 2021Review
- Risk management for pandemics: a novel approach: "Hindsight is 20/20" English proverb.Sustainability science · 2021Article
- Mathematical Modelling of Lockdown Policy for COVID-19.Procedia computer science · 2021Article
Corrections and comments
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Mathematical modelling performs a vital part in estimating and controlling the recent outbreak of coronavirus disease 2019 (COVID-19). In this epidemic, most countries impose severe intervention measures to contain the spread of COVID-19. The policymakers are forced to make difficult decisions to leverage between health and economic development. How and when to make clinical and public health decisions in an epidemic situation is a challenging question. The most appropriate solution is based on scientific evidence, which is mainly dependent on data and models. So one of the most critical problems during this crisis is whether we can develop reliable epidemiological models to forecast the evolution of the virus and estimate the effectiveness of various intervention measures and their impacts on the economy. There are numerous types of mathematical model for epidemiological diseases. In this paper, we present some critical reviews on mathematical models for the outbreak of COVID-19. Some elementary models are presented as an initial formulation for an epidemic. We give some basic concepts, notations, and foundation for epidemiological modelling. More related works are also introduced and evaluated by considering epidemiological features such as disease tendency, latent effects, susceptibility, basic reproduction numbers, asymptomatic infections, herd immunity, and impact of the interventions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.