Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome

Gregory E. Glass, James E. Cheek, Jonathan A. Patz, Timothy M. Shields, Timothy J. Doyle, Douglas A. Thoroughman, Darcy K. Hunt, Russell E. Enscore, Kenneth L. Gage, Charles Irland, C. J. Peters, Ralph Bryan

Research output: Contribution to journalArticle

Abstract

The 1993 U.S. hantavirus pulmonary syndrome (HPS) outbreak was attributed to environmental conditions and increased rodent populations caused by unusual weather in 1991-92. In a case-control study to test this hypothesis, we estimated precipitation at 28 HPS and 170 control sites during the springs of 1992 and 1993 and compared it with precipitation during the previous 6 years by using rainfall patterns at 196 weather stations. We also used elevation data and Landsat Thematic Mapper satellite imagery collected the year before the outbreak to estimate HPS risk by logistic regression analysis. Rainfall at case sites was not higher during 1992-93 than in previous years. However, elevation, as well as satellite data, showed association between environmental conditions and HPS risk the following year. Repeated analysis using satellite imagery from 1995 showed substantial decrease in medium- to high-risk areas. Only one case of HPS was identified in 1996.

Original languageEnglish (US)
Pages (from-to)238-247
Number of pages10
JournalEmerging infectious diseases
Volume6
Issue number3
DOIs
StatePublished - Jan 1 2000

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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    Glass, G. E., Cheek, J. E., Patz, J. A., Shields, T. M., Doyle, T. J., Thoroughman, D. A., Hunt, D. K., Enscore, R. E., Gage, K. L., Irland, C., Peters, C. J., & Bryan, R. (2000). Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome. Emerging infectious diseases, 6(3), 238-247. https://doi.org/10.3201/eid0603.000303