Call detail record aggregation methodology impacts infectious disease models informed by human mobility.

ABSTRACT: This paper demonstrates how two different methods used to calculate population-level mobility from Call Detail Records (CDR) produce varying predictions of the spread of epidemics informed by these data. Our findings are based on one CDR dataset describing inter-district movement in Ghana in 2021, produced using two different aggregation methodologies. One methodology, "all pairs," is designed to retain long distance network connections while the other, "sequential" methodology is designed to accurately reflect the volume of travel between locations. We show how the choice of methodology feeds through models of human mobility to the predictions of a metapopulation SEIR model of disease transmission. We also show that this impact varies depending on the location of pathogen introduction and

SUBMITTER: Gibbs H 

PROVIDER: S-EPMC10443843 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature