In addition to these time factors, vector density over a given area tends to increase as temperature rises.
Finally, a reduction of vector density by decreasing the number of adult or larvae will also reduce transmission intensity.
The majority of published research into CHIKV epidemiology has concentrated on vector density and ecological and climatic conditions [1], [25].
This different trend appears fully compatible with a reduced indoor vector density and the consequential expected reduced exposure to Anopheles bites.
Minimum temperatures with 1 or 2 months time-lag are good predictors of vector density, while housing conditions and livestock in houses have no predictive value.
The decreased vector density observed in July-October '95, in comparison to August-October '94, was most likely a consequence of the lower rainfall [24].
In other studies, such as in Kenya and Madagascar, the importance of vector density in unstable highland malaria has been highlighted [60].
Hard copy maps of all breeding sites and irrigation schemes were developed and larval control using insecticides such as Temephos EC (50%) were implemented to reduce vector density.
The continued high incidence of malaria in the municipality of Manaus is related to environmental and socio-economic factors that include high temperatures, humidity, vector density, unplanned expansion of the urban peripheral areas and resistance to antimalarials [3], [4].
In the Burundi highlands, Anopheles density, hence vector density because 95% of the collected Anopheles mosquitoes in the study area were malaria vectors [14], was the second best predictor for malaria infection in the human population.
Some included trials evaluated vector density.
