The majority of previous studies are based on the assumption of a potential role of mosquito density in the distribution of dengue cases, and vice versa. However, these models rarely show the correlation between climate variables and both dengue epidemiology and vector abundance. Some models have already been developed regarding the impact of climate changes on the distribution of mosquitoes and dengue at various geographic scales ( Johansson et al. 2006), and dengue in Brazil ( Lowe et al. 2009), malaria risk prediction in Botswana ( Thomson et al. Information on relationships between climate factors and disease incidences provides an opportunity to create and adopt prototypes for early warning disease outbreak systems tailored to some vector-transmitted diseases, as shown for the Rift Valley fever disease outbreak response in the Horn of Africa ( Anyamba et al. 2013, Townroe and Callaghan 2014, Xiao et al. 2018, Tosepu et al 2018, Astuti et al 2019) and the distribution of vegetated areas ( Koenraadt and Harrington 2008, Delatte et al. A growing body of evidence worldwide has demonstrated the link between climate variables (temperature, precipitation, and humidity) ( Nakhapakorn and Tripathi 2005, Hau et al. As a vector-borne disease, the temporal variation and spatial distribution of dengue incidence are highly correlated with the distribution of Ae. This finding suggests specific actionable insights needed to supplement existing mosquito eradication programs.ĭengue a major mosquito-borne viral infection caused by a virus (DENV 1 to 4) transmitted by Aedes aegypti and Aedes albopictus, has increasingly become a major public health concern worldwide ( Halstead 2008, Bhatt et al. aegypti mosquito increased the risk of dengue infection by 1.8%, while increasing the maximum temperature by one degree decreased the risk by 17%. Using our model, the data showed that the addition of a single adult Ae. The result showed a significant non-linear correlation among mosquito abundance, maximum temperature, and dengue cases.
A generalized linear model was applied to analyze the effect of local weather and female adult Ae. In the selected areas, local weather stations and modified light mosquito traps were set up to obtain data regarding daily weather and the abundance of adult female Ae. To achieve this purpose, we conducted a cohort study, during January-December 2017, in 16 districts in Bandung, West Java, Indonesia. Thoroughly understanding this correlation will allow the development of a customized and precise local early warning system. In general, however, the human population, level of infrastructure, and land-use change in rural and urban areas often produce localized climate patterns that may influence the interaction between climate, vector abundance, and dengue incidence. However, this conclusion has been based on the general climate pattern of wide regions.
Studies have reported a strong correlation between weather, the abundance of Aedes aegypti, the vector of DHF virus, and dengue incidence. Dengue Hemorrhagic Fever (DHF) is a major mosquito-borne viral disease.