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. 2021 Aug 25;15(8):e0009685. doi: 10.1371/journal.pntd.0009685

Fig 7. Results from generalized additive logistic regression for the geographic, demographic and environmental predictors of scrub typhus infection.

Fig 7

A.) mean NDFI (normalized difference flooding index) for patient home village across study period; B.) mean EVI (enhanced vegetation index) for patient home village across study period; C.) variance in NDFI for patient home village across study period; D.) variance in EVI for patient home village across study period; E.) NDFI around patient home village in 16 days leading up to hospital admission; F.) EVI around patient home village in 16 days leading up to hospital admission; G.) year of hospital admission; H.) day of year of hospital admission; I.) population of patient home village; J.) distance from patient home village to nearest major road; K.) elevation of patient home village; L.) geographic coordinates of patient home village. Plots above the blue line (at the y-intercept) indicate a positive association for a given covariate, for the given x-axis value. For the geographic coordinates (panel L), lighter colored areas on the map indicate places with higher baseline risk of being diagnosed with scrub typhus. P-values are indicated in S5 Table.