A model of malaria epidemiology involving weather, exposure and transmission applied to north East India.

ABSTRACT:

Background

Quantitative relations between weather variables and malaria vector can enable pro-active control through meteorological monitoring. Such relations are also critical for reliable projections in a changing climate, especially since the vector abundance depends on a combination of weather variables, each in a given range. Further, such models need to be region-specific as vector population and exposure depend on regional characteristics.

Methods

We consider days of genesis based on daily temperature, rainfall and humidity in given ranges. We define a single model parameter based on estimates of exposure and transmission to calibrate the model; the model is applied to 12 districts of Arunachal Pradesh, a region endemic to malaria. The epidemiological data is taken as

SUBMITTER: Goswami P 

PROVIDER: S-EPMC3507888 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature