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. 2015 Jan 7;92(1):88–97. doi: 10.4269/ajtmh.13-0617

Table 1.

Drivers of mosquito abundance

Ae. furcifer/Ae. taylori Ae. leuteocephalus
Estimate 95% CI Estimate 95% CI
Intercept 5,173.364 3,614.152, 7,389.723 1,641.944 1,079.328, 2,493.443
Lag count (per 1000) 1.050* 1.014, 1.087* 1.154* 1.047, 1.272*
Sum of rain (in) 1.010 0.996, 1.024 1.013 0.993, 1.034
Relative humidity 0.966 0.924, 1.009 0.966 0.908, 1.028
Mean temperature (°C) 0.932 0.768, 1.131 0.850 0.642, 1.116

The results of a Bayesian hierarchical overdispersed Poisson regression with Ae. furcifer/Ae. taylori and Ae. luteocephalus mosquito abundance as the count, mosquito count from the previous year (lag; in 1,000s), total rainfall in a season, and mean temperature and relative humidity over 1 year. Data were mean-centered to aid interpretation. The intercept corresponds to the expected number of Ae. furcifer/Ae. taylori or Ae. luteocephalus in 1 year with mean counts of mosquitoes in the previous year, mean amounts of rain, temperature, and relative humidity.

*

Statistically significant coefficients.