AUTHOREA
Log in
Sign Up
Browse Preprints
LOG IN
SIGN UP
loading page
this is for holding javascript data
Download PDF
DOWNLOAD
Download ZIP
Download LaTeX
Download JATS XML
Track citations
Fork (make a copy)
530
53
A framework for surveillance of emerging pathogens at the human-animal interface: pigs and coronaviruses as a case study
Kim Pepin
,
Ryan Miller
,
Mark Wilber
Kim Pepin
Corresponding Author:
[email protected]
Author Profile
Ryan Miller
USDA APHIS Veterinary Services
Author Profile
Mark Wilber
Author Profile
Abstract
Pigs (
Sus scrofa
) may be important surveillance targets for risk assessment and risk-based control planning against emerging zoonoses.
Pigs have high-contact rates with humans and other animals, transmit similar pathogens as humans including CoVs, and serve as reservoirs and intermediate hosts for notable human pandemics.
Wild and domestic pigs both interface with humans and each other but have unique ecologies that demand different surveillance strategies. Three fundamental questions shape any surveillance program: where, when, and how can surveillance be conducted to optimize the surveillance objective? Using theory of mechanisms of zoonotic spillover and data on risk factors, we propose a framework for determining where surveillance might begin initially to maximize a detection in each host species at their interface. We illustrate the utility of the framework using data from the United States. We then discuss variables to consider in refining when and how to conduct surveillance. Recent advances in accounting for opportunistic sampling designs and in translating serology samples into infection times provide promising directions for extracting spatio-temporal estimates of disease risk from typical surveillance data.
Such robust estimates of population-level disease risk allow surveillance plans to be updated in space and time based on new information (adaptive surveillance) thus optimizing allocation of surveillance resources to maximize the quality of risk assessment insight.
Jan 2021
Published in Preventive Veterinary Medicine on pages 105281.
10.1016/j.prevetmed.2021.105281
×
OK