Journal article
Stochastic modeling of animal epidemics using data collected over three different spatial scales
Epidemics, v 3(2), pp 61-70
01 Jun 2011
PMID: 21552370
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A stochastic, spatial, discrete-time, SEIR model of avian influenza epidemics among poultry farms in Pennsylvania is formulated. Using three different spatial scales wherein all the birds within a single farm, ZIP code, or county are clustered into a single point, we obtain three different views of the epidemics. For each spatial scale, two parameters within the viral-transmission kernel of the model are estimated using simulated epidemic data. We show that simulated epidemics modeled using data collected on the farm and ZIP-code levels behave similar to the actual underlying epidemics, but this is not true using data collected on the county level. Such analyses of data collected on different spatial scales are useful in formulating intervention strategies to control an ongoing epidemic (e. g., vaccination schedules and culling policies). (C) 2011 Elsevier B. V. All rights reserved.
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Details
- Title
- Stochastic modeling of animal epidemics using data collected over three different spatial scales
- Creators
- Chris Rorres - University of PennsylvaniaSky T. K. Pelletier - University of PennsylvaniaGary Smith - University of Pennsylvania
- Publication Details
- Epidemics, v 3(2), pp 61-70
- Publisher
- Elsevier
- Number of pages
- 10
- Grant note
- 5U01GM-076426 / National Institute of General Medical Sciences (NIGMS); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS) U01GM076426 / NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000300706300001
- Scopus ID
- 2-s2.0-79952318767
- Other Identifier
- 991021879630004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Infectious Diseases