Table 5 Adjusted negative binomial regression predicting the outcome of total Anopheles mosquitoes collected during entomological surveillance.

From: Leveraging risk maps of malaria vector abundance to guide control efforts reduces malaria incidence in Eastern Province, Zambia

FactorCategorizationIRR (95% CI)p-value
Trial armGeographically-concentratedReferenceReference
 Health facility-targeted1.020 (0.519–2.006)0.954
 Ecological-targeted1.915 (1.053–3.485)0.033
IRSNo IRS in villageReferenceReference
 IRS in village0.729 (0.581–0.913)0.006
Type of eavesClosedReferenceReference
 Open1.700 (1.375–2.103)<0.001
ITNNoneReferenceReference
 At least 1 hanging0.923 (0.638–1.334)0.669
Type of collectionLight trapReferenceReference
 Prokopack0.197 (0.146–0.267)<0.001
NDVI lagged 1 monthContinuous0.355 (0.171–0.735)0.005
Precipitation lagged 1 monthContinuous1.001 (0.997–1.005)0.764
Nighttime lightContinuous0.655 (0.155–2.774)0.566
AltitudeContinuous1.000 (0.999–1.001)0.521
MonthDecemberReferenceReference
 January1.825 (1.105–3.014)<0.001
 February2.544 (1.719–3.765)<0.001
 March4.409 (2.640–7.362)<0.001
 April7.373 (4.905–11.083)<0.001
  1. N = 25 sites, 863 houses.