作者: Amy Wesolowski , Caroline O. Buckee , Kenth Engø-Monsen , C. J. E. Metcalf
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摘要: Human travel can shape infectious disease dynamics by introducing pathogens into susceptible populations or changing the frequency of contacts between infected and individuals. Quantifying disease-relevant patterns on fine spatial temporal scales has historically been limited data availability. The recent emergence mobile phone calling associated locational information means that we now trace scale movement across large numbers However, these necessarily reflect a biased sample individuals communities are generally aggregated for both ethical pragmatic reasons may further obscure nuance individual heterogeneities. Additionally, as general rule, not linked to demographic social identifiers, about status subscribers (although be made available in smaller-scale specific cases). Combining human from data-derived population fluxes with incidence requires approaches tackle varying resolutions each source generate inference relevant pathogen biology ecology. Here, review opportunities challenges novel streams, illustrating our examples analyses 2 different Kenya, conclude outlining core directions future research.