Projects
FACT: NEAR-REAL TIME SPATIOTEMPORAL RESOURCE ALLOCATION TO IMPROVE SWINE HEALTH
Summary
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<B>Forestry Component:</B> #forestry_component%
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<b>Animal Health Component</b>
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<B>Is this an Integrated Activity?</B> #integrated_activity
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<b>Research Effort Categories</b><br>
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<div class="rec_leftcol">Basic</div>
<div class="rec_rightcol">(N/A)</div>
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<div class="rec_leftcol">Developmental</div>
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Objectives & Deliverables
<b>Project Methods</b><br> We propose to develop models to quantify the local, regional and seasonal variation of the most important intrinsic and extrinsic risk factors coupled with farm characteristics that predispose swine farms to be affected by PED and PRRS outbreaks. Consequently, we will develop and disseminate a forecast system to improve resource allocation and promote informed and targeted disease management based on the most effective intervention. We also hypothesize that animal movements need to be part of the equation, since this parameter seems to increase the risk of infection due to possible (if not yet explored) interactions with extrinsic environmental variables that either facilitate or hinder local disease spread. Finally, it is imperative that intrinsic factors such as host characteristics and rapid spatiotemporal diffusion characteristics in the evolution of emerging PRRS strains alone or interactively can affect significantly the intensity of transmission, therefore, strain genetic variation will be part of our modeling experiments.
Principle Investigator(s)
Planned Completion date: 31/07/2025
Effort: $497,560.00
Project Status
ACTIVE
Principal Investigator(s)
National Institute of Food and Agriculture
Researcher Organisations
NORTH CAROLINA STATE UNIV
United Kingdom