A Flexible Spatial Framework for Modeling Spread of Pathogens in Animals with Biosurveillance and Disease Control Applications
Biosurveillance activities focus on acquiring and analyzing epidemiological and biological data to interpret unfolding events and predict outcomes in infectious disease outbreaks. We describe a mathematical modeling framework based on geographically aligned data sources and with appropriate flexibil...
Main Authors: | Montiago X. LaBute, Benjamin H. McMahon, Mac Brown, Carrie Manore, Jeanne M. Fair |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-05-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/3/2/638 |
Similar Items
-
Disease properties, geography, and mitigation strategies in a simulation spread of rinderpest across the United States
by: Manore Carrie, et al.
Published: (2011-03-01) -
Constructing rigorous and broad biosurveillance networks for detecting emerging zoonotic outbreaks.
by: Mac Brown, et al.
Published: (2015-01-01) -
Digital Biosurveillance for Zoonotic Disease Detection in Kenya
by: Ravikiran Keshavamurthy, et al.
Published: (2021-06-01) -
Automated Biosurveillance Data from England and Wales, 1991–2011
by: Doyo G. Enki, et al.
Published: (2013-01-01) -
An extensible framework and database of infectious disease for biosurveillance
by: Ashlynn R. Daughton, et al.
Published: (2017-08-01)