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Volume 6, Number 3—June 2000


Using Remotely Sensed Data To Identify Areas at Risk for Hantavirus Pulmonary Syndrome

Gregory E. Glass*Comments to Author , 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

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Table 2

Logistic regression analysis of LANDSAT Thematic Mapper data and elevation

Predictor Odds Ratio 95% CI p Mean Range Mean (Range)
Band 1 0.96 (0.93, 0.99) 0.012 111.9 (70.6, 164.0) 97.8 (72.0, 134.3)
Band 5 1.07 (1.01, 1.13) 0.013 170.6 (110.7, 253.3) 160.7 (110.2, 226.2)
Band 7 0.91 (0.84, 0.99) 0.015 102.6 (60.6, 163.3) 93.1 (58.2, 140.4)
Elevation 4.60 (1.96, 10.79) 0.005 1935 (1465, 2500) 2081 (1825, 2341)

Odds ratios, 95% confidence intervals, and statistical significance of HPS predictor variables. Odds ratios of the Thematic Mapper bands indicate the change in risk for each unit change in digital number recorded by the satellite sensor. Elevation was divided as either above or below 2,094 m for the analysis. There was no difference between the Training and Validation areas, as tested by t-test (t). The Controls and Cases columns show the mean and range of values at the control and case sites, respectively.
ns = not shown

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