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While dynamic disease models can provide a better understanding of the drivers of spatial spread, the effects of landscape heterogeneity have only been modelled in a few well\u2010studied wildlife systems such as rabies and bovine tuberculosis. Such spatial models tend to be either purely theoretical with intrinsic limiting assumptions or individual\u2010based models that are often highly species\u2010 and system\u2010specific, limiting the breadth of their utility.<\/jats:p><\/jats:list-item><jats:list-item><jats:p>Our goal was to review studies that have utilized dynamic, spatial models to answer questions about pathogen transmission in wildlife and identify key gaps in the literature. We begin by providing an overview of the main types of dynamic, spatial models (e.g., metapopulation, network, lattice, cellular automata, individual\u2010based and continuous\u2010space) and their relation to each other. We investigate different types of ecological questions that these models have been used to explore: pathogen invasion dynamics and range expansion, spatial heterogeneity and pathogen persistence, the implications of management and intervention strategies and the role of evolution in host\u2013pathogen dynamics.<\/jats:p><\/jats:list-item><jats:list-item><jats:p>We reviewed 168 studies that consider pathogen transmission in free\u2010ranging wildlife and classify them by the model type employed, the focal host\u2013pathogen system, and their overall research themes and motivation. We observed a significant focus on mammalian hosts, a few well\u2010studied or purely theoretical pathogen systems, and a lack of studies occurring at the wildlife\u2010public health or wildlife\u2013livestock interfaces.<\/jats:p><\/jats:list-item><jats:list-item><jats:p>Finally, we discuss challenges and future directions in the context of unprecedented human\u2010mediated environmental change. Spatial models may provide new insights into understanding, for example, how global warming and habitat disturbance contribute to disease maintenance and emergence. Moving forward, better integration of dynamic, spatial disease models with approaches from movement ecology, landscape genetics\/genomics and ecoimmunology may provide new avenues for investigation and aid in the control of zoonotic and emerging infectious diseases.<\/jats:p><\/jats:list-item><\/jats:list><\/jats:p>","DOI":"10.1111\/1365-2656.12761","type":"journal-article","created":{"date-parts":[[2017,9,25]],"date-time":"2017-09-25T09:02:45Z","timestamp":1506330165000},"page":"559-580","source":"Crossref","is-referenced-by-count":86,"title":["Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges"],"prefix":"10.1111","volume":"87","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3852-5374","authenticated-orcid":false,"given":"Lauren A.","family":"White","sequence":"first","affiliation":[{"name":"Department of Ecology, Evolution &amp; Behavior University of Minnesota St. Paul MN 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