ArticleResults in physics2021
A lattice gas model for infection spreading: Application to the COVID-19 pandemic in the Mexico City Metropolitan Area.
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 2 papers.
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Who cites it
2 citing papers in PubMed.
- Influence of meteorological patterns on the 2020 COVID-19 pandemic in the Mexico City region.Environmental advances · 2022Article
- A model based on cellular automata for investigating the impact of lockdown, migration and vaccination on COVID-19 dynamics.Computer methods and programs in biomedicine · 2021Article
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1 author.
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Abstract
In this work, we propose a 2D lattice gas model for infection spreading, and we apply it to study the COVID-19 pandemic in the Mexico City Metropolitan Area (MCMA). We compared the spatially averaged results of this model against the MCMA available data. With the model, we estimated the numbers of daily infected and dead persons and the epidemic's duration in the MCMA. In the simulations, we included the small-world effects and the impact of lifting/strengthen lockdown measures. We included some indicators of the goodness of fit; in particular, the Pearson correlation coefficient resulted larger than 0.9 for all the cases we considered. Our modeling approach is a research tool that can help assess the effectiveness of strategies and policies to address the pandemic phenomenon and its consequences.
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