Sampling to elucidate the dynamics of infections in reservoir hosts
Author(s) -
Raina K. Plowright,
Daniel J. Becker,
Hamish McCallum,
Kezia R. Manlove
Publication year - 2019
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2018.0336
Subject(s) - wildlife , wildlife disease , sampling (signal processing) , spillover effect , ecology , livestock , geography , environmental resource management , biology , environmental science , computer science , economics , filter (signal processing) , computer vision , microeconomics
The risk of zoonotic spillover from reservoir hosts, such as wildlife or domestic livestock, to people is shaped by the spatial and temporal distribution of infection in reservoir populations. Quantifying these distributions is a key challenge in epidemiology and disease ecology that requires researchers to make trade-offs between the extent and intensity of spatial versus temporal sampling. We discuss sampling methods that strengthen the reliability and validity of inferences about the dynamics of zoonotic pathogens in wildlife hosts. This article is part of the theme issue ‘Dynamic and integrative approaches to understanding pathogen spillover’.
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