Commuting in metapopulation epidemic modeling.

ABSTRACT: The COVID-19 pandemic led authorities all over the world to imposing travel restrictions both on a national and on an international scale. Understanding the effect of such restrictions requires analysis of the role of commuting and calls for a metapopulation modeling that incorporates both local, intra-community infection and population exchange between different locations. Standard metapopulation models are formulated as markovian processes, and as such they do not label individuals according to their original location. However, commuting from home to work and backwards (reverse commuting) is the main pattern of transportation. Thus, it is important to be able to accurately model the effect of commuting on epidemic spreading. In this study we develop a methodology for modeling bidirection

SUBMITTER: Lipshtat A 

PROVIDER: S-EPMC8313540 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature