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- W2182779435 abstract "Dengue fever transmission results from complex interactions between the virus, human hosts, and mosquito vectors --- all of which are influenced by environmental factors. Predictive models of dengue incidence rate, based on local weather and regional climate parameters, could benefit disease mitigation efforts. Time series of epidemiological and meteorological data for the urban environment of Cali, Colombia are analyzed from January 2000 through December 2011. Significant dengue outbreaks generally occur during warm-dry periods with extreme daily temperatures confined between 18oC and 32oC --- the optimal range for mosquito survival and viral transmission. Two environment-based, multivariate, auto- regressive forecast models are developed that allow dengue outbreaks to be anticipated from 2 weeks to 6 months in advance. These models have the potential to enhance existing dengue early warning systems, ultimately supporting public health decisions on the timing and scale of vector control efforts." @default.
- W2182779435 created "2016-06-24" @default.
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- W2182779435 date "2014-01-01" @default.
- W2182779435 modified "2023-09-27" @default.
- W2182779435 title "LRH: EASTIN AND OTHERS RRH: ENVIRONMENTAL PREDICTION OF DENGUE FEVER IN COLOMBIA Intra- and inter-seasonal autoregressive prediction of dengue outbreaks using local weather and regional climate for a tropical environment in Colombia" @default.
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