Sampling to elucidate the dynamics of infections in reservoir hosts

Abstract

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 12, 2019
Source ID
10.1098/rstb.2018.0336

Entities

People

  • Daniel J. Becker
  • Hamish McCallum
  • Kezia R. Manlove
  • Raina K. Plowright

Organizations

  • Defense Advanced Research Projects Agency
  • Griffith University
  • Indiana University
  • Montana State University
  • National Institute of Food and Agriculture
  • National Institute of General Medical Sciences
  • National Science Foundation Directorate for Biological Sciences
  • University of Georgia
  • Utah State University

Tags

Fields of Study

  • Environmental science

Readers

  • Systems Analysis and Design
  • Virology (or Medical Virology).
  • Wetland-Land-Environmental Management.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference