1. Remote sensing and geographic information systems: charting Sin Nombre virus infections in deer mice.
- Author
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Boone JD, McGwire KC, Otteson EW, DeBaca RS, Kuhn EA, Villard P, Brussard PF, and St Jeor SC
- Subjects
- Animals, Antibodies, Viral blood, California, Databases, Factual, Disease Reservoirs, Ecosystem, Orthohantavirus immunology, Hantavirus Infections epidemiology, Hantavirus Infections virology, Humans, Mice, Nevada, Risk Assessment, Rodent Diseases virology, Hantavirus Infections veterinary, Information Systems, Peromyscus virology, Rodent Diseases epidemiology, Satellite Communications
- Abstract
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.
- Published
- 2000
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