ArticleBMC research notes2020
SEIR model for COVID-19 dynamics incorporating the environment and social distancing.
Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
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Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Infectious disease modelling for SARS-CoV-2 in Africa to guide policy: A systematic review.Epidemics · 2022Pooled it
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- The impact of statistical adjustment for assay performance on inferences from SARS-CoV-2 serological surveillance studies.American journal of epidemiology · 2025Article
- Coupling wastewater-based epidemiology with data-driven machine learning for managing public health risks.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
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- Sensitivity analysis and global stability of epidemic between Thais and tourists for Covid -19.Scientific reports · 2024Article
- Long-term trend prediction of pandemic combining the compartmental and deep learning models.Scientific reports · 2024Article
- Integrating socio-psychological factors in the SEIR model optimized by a genetic algorithm for COVID-19 trend analysis.Scientific reports · 2024Article
- A comprehensive analysis of COVID-19 nonlinear mathematical model by incorporating the environment and social distancing.Scientific reports · 2024Article
- Wording the trajectory of the three-year COVID-19 epidemic in a general population - Belgium.BMC public health · 2024Article
- Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges.Pharmaceutics · 2024Review
- High connectivity and human movement limits the impact of travel time on infectious disease transmission.Journal of the Royal Society, Interface · 2024Article
- On modes of disease transmission and the hidden shape of pandemics: A review ofVirus evolution · 2024Article
- Omicron vs. the rest: Assessing the competitive dynamics and coinfection scenarios of COVID-19 strains on a social network.PloS one · 2024Article
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- Susceptible-Infected-Susceptible type COVID-19 spread with collective effects.Scientific reports · 2023Article
- Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19.Scientific reports · 2023Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCoronavirus disease 2019 (COVID-19) is a pandemic respiratory illness spreading from person-to-person caused by a novel coronavirus and poses a serious public health risk. The goal of this study was to apply a modified susceptible-exposed-infectious-recovered (SEIR) compartmental mathematical model for prediction of COVID-19 epidemic dynamics incorporating pathogen in the environment and interventions. The next generation matrix approach was used to determine the basic reproduction number [Formula: see text]. The model equations are solved numerically using fourth and fifth order Runge-Kutta methods.
resultsWe found an [Formula: see text] of 2.03, implying that the pandemic will persist in the human population in the absence of strong control measures. Results after simulating various scenarios indicate that disregarding social distancing and hygiene measures can have devastating effects on the human population. The model shows that quarantine of contacts and isolation of cases can help halt the spread on novel coronavirus.
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Registered trials
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.