Tick‐, mosquito‐, and rodent‐borne parasite sampling designs for the National Ecological Observatory Network

作者：Yuri P. Springer, David Hoekman, Pieter T. J. Johnson, Paul Duffy, Rebecca A. Hufft, David T. Barnett, Brian F. Allan, Brian R. Amman, Christopher M. Barker, Roberto Barrera, Charles B. Beard, Lorenza Béati, Mike Begon, Mark S. Blackmore, William E. Bradshaw, Dustin Brisson, Charles H. Calisher, James E. Childs, Maria A. Diuk‐Wasser, Richard J. Douglass, Rebecca J. Eisen, Desmond H. Foley, Janet E. Foley, Holly Gaff, Scott Lyell Gardner, Howard S. Ginsberg, Gregory E. Glass, Sarah A. Hamer, Mary H. Hayden, Brian Hjelle, Christina M. Holzapfel, Steven A. Juliano, Laura D. Kramer, Amy J. Kuenzi, Shannon L. LaDeau, Todd Livdahl, James N. Mills, Chester G. Moore, Sergé Morand, Roger S. Nasci, Nicholas H. Ogden, Richard S. Ostfeld, Robert Parmenter, Joseph Piesman, William K. Reisen, Harry M. Savage, Daniel E. Sonenshine, Andrea Swei, Michael J. Yabsley · 发表于：Ecosphere · 年份：2016 · DOI：10.1002/ecs2.1271 · 被引用次数：44 · 研究领域：Zoonotic diseases and public health、Viral Infections and Vectors、Vector-borne infectious diseases

Abstract Parasites and pathogens are increasingly recognized as significant drivers of ecological and evolutionary change in natural ecosystems. Concurrently, transmission of infectious agents among human, livestock, and wildlife populations represents a growing threat to veterinary and human health. In light of these trends and the scarcity of long‐term time series data on infection rates among vectors and reservoirs, the National Ecological Observatory Network ( NEON ) will collect measurements and samples of a suite of tick‐, mosquito‐, and rodent‐borne parasites through a continental‐scale surveillance program. Here, we describe the sampling designs for these efforts, highlighting sampling priorities, field and analytical methods, and the data as well as archived samples to be made available to the research community. Insights generated by this sampling will advance current understanding of and ability to predict changes in infection and disease dynamics in novel, interdisciplinary, and collaborative ways.