ArticleResults in physics2021
A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Analytical solution of l-i SEIR model-Comparison of l-i SEIR model with conventional SEIR model in simulation of epidemic curves.PloS one · 2023Article
- Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021Article
- An improved SIR model describing the epidemic dynamics of the COVID-19 in China.Results in physics · 2021Article
- The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories.BMC medicine · 2021Article
- A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan.Results in physics · 2021Article
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1 author.
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Abstract
In this study, an individual-based epidemic model, considering latent-infectious-recovery periods, is presented. The analytic solution of the model in the form of recursive formulae with a time-dependent transmission coefficient is derived and implanted in Excel. The simulated epidemic curves from the model fit very well with the daily reported cases of COVID-19 in Wuhan, China and New York City (NYC), USA. These simulations show that the transmission rate of NYC's COVID-19 is nearly 30% greater than the transmission rate of Wuhan's COVID-19, and that the actual number of cumulative infected people in NYC is around 9 times the reported number of cumulative COVID-19 cases in NYC. Results from this study also provide important information about latent period, infectious period and lockdown efficiency.
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