Emerging Infectious Disease ISSN: 1080-6059

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¶, and Ralph Bryan§

Author affiliations: *The Johns Hopkins School of Hygiene and Public Health, Baltimore, Maryland, USA; †Indian Health Service, Albuquerque, New Mexico, USA; ‡Centers for Disease Control and Prevention, Albuquerque, New Mexico, USA; §Centers for Disease Control and Prevention, Ft. Collins, Colorado, USA; and ¶Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Main Article

Figure 4

The normalized difference vegetation index (NDVI) scores of the study area by Thematic Mapping bands 3 and 4. Vegetation growth increased from brown though yellow to green. There was a substantial portion of high-risk area (especially the eastern portion of the image) where the NDVI image pixels did not obviously correspond to high-risk areas (see Figure 3 for comparison).

Figure 4. The normalized difference vegetation index (NDVI) scores of the study area by Thematic Mapping bands 3 and 4. Vegetation growth increased from brown though yellow to green. There was a substantial portion of high-risk area (especially the eastern portion of the image) where the NDVI image pixels did not obviously correspond to high-risk areas (see Figure 3 for comparison).

Main Article

Top of Page

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.