Going through the motions: incorporating movement analyses into disease research

摘要: Though epidemiology dates back to the 1700s, most mathematical representations of epidemics still use transmission rates averaged at population scale, especially for wildlife diseases. In simplifying contact process, we ignore heterogeneities in host movements that complicate real world, and overlook their impact on spatiotemporal patterns disease burden. Movement ecology offers a set tools help unpack letting researchers more accurately model how animals within interact spread pathogens. Analytical techniques from this growing field can also expose reverse process: infection impacts movement behaviors, therefore other ecological processes like feeding, reproduction, dispersal. Here, synthesize contributions research, with particular focus studies have successfully used movement-based methods quantify individual heterogeneity exposure risk. Throughout, highlight rapid growth both ecology, comment promising but unexplored avenues research overlap. Ultimately, suggest, including empowers ecologists pose new questions expanding our understanding host-pathogen dynamics, improving predictive capacity even human