The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using Remotely Sensed Data To Identify Areas at Risk for Hantavirus Pulmonary Syndrome
Open accessAbstract
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.
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Cites
An improved Bonferroni procedure for multiple tests of significance
SIMES, R. J. (1986) · Biometrika · doi:10.1093/biomet/73.3.751 · Cited by 2,396
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Patz, J. A., Campbell-Lendrum, D., Holloway, T., & Foley, J. A. (2005) · Nature · doi:10.1038/nature04188 · Cited by 3,103
Self-citationNew technologies in predicting, preventing and controlling emerging infectious diseases
Christaki, E. (2015) · Virulence · doi:10.1080/21505594.2015.1040975 · Cited by 226
Transdisciplinary Research, Transformative Learning, and Transformative Science
Pennington, D. D., Simpson, G. L., McConnell, M. S., Fair, J. M., & Baker, R. J. (2013) · BioScience · doi:10.1525/bio.2013.63.7.9 · Cited by 97
Metadata
- Authors
- 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.
- Venue
- Emerging Infectious Diseases
- Published
- 2000-06
- Volume
- 6
- Issue
- 3
- Pages
- 238-247
- ISSN
- 1080-6040 (ISSN-L)
- 1080-6059
- OpenAlex
- W2144145179
- Cited by
- 195
- References
- 1
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- diamond
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- CoChat. (2026). Citation check: Using Remotely Sensed Data To Identify Areas at Risk for Hantavirus Pulmonary Syndrome. https://app.cochat.ai/papers/10.3201/eid0603.000303
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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. https://doi.org/10.3201/eid0603.000303
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
