Ecological covariates based predictive model of malaria risk in the state of Chhattisgarh, India.

ABSTRACT: Malaria being an endemic disease in the state of Chhattisgarh and ecologically dependent mosquito-borne disease, the study is intended to identify the ecological covariates of malaria risk in districts of the state and to build a suitable predictive model based on those predictors which could assist developing a weather based early warning system. This secondary data based analysis used one month lagged district level malaria positive cases as response variable and ecological covariates as independent variables which were tested with fixed effect panelled negative binomial regression models. Interactions among the covariates were explored using two way factorial interaction in the model. Although malaria risk in the state possesses perennial characteristics, higher parasitic incidence was

SUBMITTER: Kumar R 

PROVIDER: S-EPMC5555930 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature