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Table 2 P. falciparum infection and exposure (PfAMA1 Ab response) model mixed-effects regression models at fokontany-level

From: Identification of factors associated with residual malaria transmission using school-based serological surveys in settings pursuing elimination

Factors associated P. falciparum infection model P. falciparum exposure (PfAMA1 Ab response) model
Univariable Multivariable Univariable Multivariable
OR 95%CI ORe 95%CI OR 95%CI ORe 95%CI
Health Facilities > 5 km 1.8 1.1–3.1    2.1 1.8–2.6 1.6 1.2–2.2***
School RDT prevalencec      4.4 3.5–5.6 1.9 1.2–3.1**
NDVI at lag-1a 0.7 0.6–1.0    0.8 0.7–0.9 1.0 0.8–1.3
LST Day at lag-1b 5.4 3.0–9.7 8.9 2.9–28.0*** 4.5 3.7–5.5   
Grasslands or cerealsc 1.2 1.1–1.4    1.1 1.1–1.2 0.9 0.9–1.0
Forestsc 0.7 0.3–1.5    0.8 0.7–1.0   
Woodlandsc 0.8 0.7–1.0 1.2 0.9–1.5 0.9 0.8–0.9   
Wet, croplands or mosaicsc 0.8 0.5–1.3    0.9 0.8–1.0   
Elevationd 0.7 0.6–0.8    0.7 0.6–0.7 0.7 0.6–0.8***
  1. Wald-test approximation was used for CIs (confidence interval) and p-values
  2. NDVI Normalized Difference Vegetation Index at the previous month; LST daytime Land Surface Temperature and emissivity composites at the previous month; OR odds ratio
  3. aNDVI was scaled 1/10, as one unit increase means 0.1 increase
  4. bLST Day was scaled in 5 °C unit, as one unit increase means 5° C increase
  5. cVariables scaled in 10% unit, as one unit increase means 10% increase
  6. dElevation scaled in 100 m, as one unit increase means 100 m increase
  7. eAdjusted odds ratio
  8. ***p-value < 0.001; **p-value < 0.01; *p-value < 0.05