Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Boone, J. D. ; McGwire, K. C. ; Otteson, E. W. ; DeBaca, R. S. ; Kuhn, E. A. ; ... More +
Boone, J. D. ; McGwire, K. C. ; Otteson, E. W. ; DeBaca, R. S. ; Kuhn, E. A. ; Villard, P. ; Brussard, P. F. ; St Jeor, S. C. Less -
Description:
We tested environmental data from remote sensing and geographic information system maps as indicators of Sin Nombre virus (SNV) infections in deer mouse (Peromyscus maniculatus) populations in the Walker River Basin, Nevada and California. We determined by serologic testing the presence of SNV infections in deer mice from 144 field sites. We used remote sensing and geographic information systems data to characterize the vegetation type and density, elevation, slope, and hydrologic features of each site. The data retroactively predicted infection status of deer mice with up to 80% accuracy. If models of SNV temporal dynamics can be integrated with baseline spatial models, human risk for infection may be assessed with reasonable accuracy.
Subject:
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Animals
Antibodies, Viral
Databases, Factual
Disease Reservoirs
Ecosystem
Hantavirus
Hantavirus Infections
Humans
Information Systems
Mice
Peromyscus
Risk Assessment
Rodent Diseases
Satellite Communications

Source:
Emerg Infect Dis. 6(3):248-258.
Document Type:
Journal Article
Place as Subject:
California ; Nevada
California ; Nevada Less -
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
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urn:sha256:a46019194c37de03aac11178a5970bfee79dc881e217ea60e83e2865e3a7c83e
File Type:

Supporting Files

• 	10827114.nxml	txt
  	license.txt	txt

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