Table 3.
Negative binomial multivariate models of the impact of targeted IRS with pirimiphos-methyl on An. funestus and An. gambiae counts per household within the areas targeted for spraying, using robust standard errors and generalized estimating equations clustered by household, N = 1,271
An. funestus | An. gambiae | |||||
---|---|---|---|---|---|---|
IRR | 95% CI | P-value | IRR | 95% CI | P-value | |
Post-IRS | 0.49 | (0.29, 0.81) | 0.005 | 0.64 | (0.42, 0.96) | 0.03 |
Open water source | – | – | – | 1.41 | (1.02, 1.95) | 0.04 |
HH within 500 m (by 100 HH) | 0.60 | (0.51, 0.70) | < 0.001 | 0.81 | (0.75, 0.88) | < 0.001 |
Elevation (by 10 m) | 0.43 | (0.33, 0.55) | < 0.001 | – | – | – |
Slope | 0.82 | (0.73, 0.92) | 0.001 | – | – | – |
NDVI (by 10%) | 1.29 | (0.99, 1.66) | 0.06 | 1.23 | (1.00, 1.52) | 0.05 |
Distance from Lake Mweru (1,000 in km) | 1.12 | (1.03, 1.21) | 0.005 | – | – | – |
Distance from cat. 1 streams (in km) | 0.55 | (0.31, 0.98) | 0.04 | 0.49 | (0.34, 0.73) | < 0.001 |
Distance from cat. 4 streams (in km) | 1.42 | (1.18, 1.71) | < 0.001 | – | – | – |
Lagged rainfall (by 10 mm)* | 0.24 | (0.13, 0.47) | < 0.001 | 0.68 | (0.47, 0.99) | 0.05 |
Lagged rainfall (by 10 mm)† | – | – | – | 3.96 | (1.88, 8.37) | 0.001 |
Lagged maximum temperature (in °C)‡ | 1.14 | (1.03, 1.26) | 0.01 | – | – | – |
Lagged maximum temperature (in °C)§ | 0.79 | (0.66, 0.94) | 0.007 | – | – | – |
Lagged maximum temperature (in °C)∥ | – | – | – | 0.79 | (0.67, 0.92) | 0.002 |
Lagged minimum temperature (in °C)∥ | – | – | – | 1.32 | (1.18, 1.48) | < 0.001 |
An. funestus = Anopheles funestus; An. gambiae = Anopheles gambiae; HH = household; IRR = incidence rate ratio; IRS = indoor residual spraying; NDVI = normalized difference vegetation index.
Interval = 2 weeks, lag = 2 weeks.
Interval = 10 weeks, lag = 4 weeks.
Interval = 1 week, lag = 2 weeks.
Interval = 8 weeks, lag = 3 weeks.
Interval = 7 weeks, lag = 2 weeks.