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Fig. 3 | Malaria Journal

Fig. 3

From: Comparing field-collected versus remotely-sensed variables to model malaria risk in the highlands of western Uganda

Fig. 3

Environmental risk predicted by model fits. This is the risk assigned to environmental variables after accounting for any individual (e.g. age and sex) or household (e.g. home construction) level variables. Results are shown for models predicting uRDT result (left column) and Inpatient Admission within the last year (right column) based on the environmental (top row), household (center row) and combined (bottom row) datasets. Predictions are standardized across figures to allow comparison of areas of high and low risk. All three models predict that southeast Rwakingi 1A has the highest risk of positive uRDT results, followed with areas of Kasanzi. Results for risk of inpatient admission are more varied, but all models agree that the highest risk area is in Northern Rwakingi 1A and western Bunyangoni

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