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Table 5 Simple logistic regression results

From: Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination

  1. aFor both the snail habitat data (top), and the environmental predictors data (bottom), simple logistic regression models were run to determine the direction of association with household S. japonicum infection status. Each predictor was scaled to make a one-unit change represent meaningful incremental changes. The units used for each snail variable are as follows: for the distance to the nearest present ditch, absent ditch, present field and absent field, the unit of change was 1 km; for the total present ditch length and total absent ditch length within 0.25 km, 0.5 km and 1 km of the home, the unit of change was 1 km; for the area of present fields and area of absent fields within 0.25 km, 0.5 km and 1 km of the home, the unit of change was 0.1 km2; the unit of change was 1 person. The units used for each environmental variable are as follows: for NDWI, NDVI and EVI, the unit of change was 0.1 (index range of -1 to + 1); for the distance to the nearest road, waterway or waterbody, the unit of change was 1 km; for elevation, the unit of change was 10 m; for the number of people tested in the home, the unit of change was 1 person
  2. bPoint estimate
  3. cStandard error
  4. * p-value ≤ 0.05
  5. **p-value ≤ 0.01
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International Journal of Health Geographics

ISSN: 1476-072X