TY - JOUR AU - Boone, John D. AU - McGwire, Kenneth C. AU - Otteson, Elmer W. AU - DeBaca, Robert S. AU - Kuhn, Edward A. AU - Villard, Pascal AU - Brussard, Peter F. AU - St. Jeor, Stephen C. T1 - Remote Sensing and Geographic Information Systems: Charting Sin Nombre Virus Infections in Deer Mice T2 - Emerging Infectious Disease journal PY - 2000 VL - 6 IS - 3 SP - 248 SN - 1080-6059 AB - 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. KW - Sin Nombre Virus KW - deer mice KW - SNV KW - Peromyscus maniculatus KW - Walker river basin KW - remote sensing KW - geographic information systems KW - United States DO - 10.3201/eid0603.000304 UR - https://wwwnc.cdc.gov/eid/article/6/3/00-0304_article ER - End of Reference