Figure 1.
A map of the districts of the city of Machala, El Oro Province, Ecuador, indicating the location of the study areas and the meteorological station.
Figure 2.
The climatology of Machala (November to June, 1986–2009 average) compared to the weather during the study period for (A) temperature and (B) monthly rainfall.
Table 1.
Socio-ecological factors hypothesized to influence presence of Aedes aegypti in households.
Table 2.
Parameters in the top-ranked logistic models to predict the presence of Aedes aegypti in each season.
Figure 3.
Aedes aegypti pupae per container type by location and season.
Percentage of all pupae collected from abandoned, domestic-use, and other types of containers (i.e., decorative, animal drinking water) in pupae surveys conducted during pre-rainy, rainy, and post-rainy seasons in the (A) central study area (CA), (B) peripheral study area (PA), and (C) both localities combined in Machala, Ecuador.
Figure 4.
Aedes aegypti oviposition dynamics predicted by lagged local climate.
Time series of observed and predicted (95% CI) log eggs/ovitrap/week over the study period (Nov. 2010 to June 2011) from the best-fit models for the (A) peripheral area (PA) and (B) central area (CA).
Table 3.
Local climate parameters and lags in the best-fit model for Aedes aegypti ovitrap abundance data for both localities combined, for the central area (CA) and peripheral area (PA).
Figure 5.
Climatic and social factors interact to influence seasonal dengue risk.
A synthesis of the important socio-ecological predictors for the presence of Aedes aegypti during rainy and post-rainy (dry) seasons in Machala, Ecuador.