Map
Layers


Dengue
Malaria
Vulnerability to dengue
Data Source: Average annual dengue incidence rates (per 100,000 inhabitants) is a measure of the number of cases divided by the population. Dengue case data in Vietnam and Philippines are supplied by NIHE and San Tomas University respectively. Population data in Vietnam is collected from General Statistic Office of Vietnam. Population data in Philippines is collected by San Tomas University.
Data Source: Malaria case data in Vietnam and Philippines are collected by NIHE and San Tomas University respectively.
The map series illustrating spatial-temporal dynamic patterns of vulnerability to dengue in Philippines and Vietnam are build based on the WADI index approach’s existing framework and thresholds. Input includea range of datasets of climate variables, demography, socio-economy, land cover that were standardized and integrated into indicators of exposure and susceptibility.
Population data in Vietnam is collected from General Statistic Office of Vietnam. Population data in Philippines is collected by San Tomas University.
Change of the land use or land cover also contributes to dengue exposure by providing mosquito favorable breeding habitats. Distribution of dengue-carrying mosquitoes associates with different type of land cover/land use (Dickin et al. 2013, Cheong 2014). Land cover data was extracted from a satellite-based secondary product, MODIS Land Cover Type Yearly L3 Global (MCD12Q1) with spatial resolution 500m.
Time-series total precipitation data of the study area were extracted from GSMap (Global Satellite Map of Precipitation) product with resolution of 0.1 degree lat/lon.
Monthly maximum temperature dataset were collect from hydro-meteorological stations in Vietnam and Philippines. Then we interpolated data point with Inverse Distance Weighting method to create raster layers.
The published papers on mapping dengue risk found that age and income are two of the most commonly used predictors using to predict dengue risk.Children are likely to more vulnerable to dengue hemorrhagic fever and dengue shock syndrome (DHF/DSS) (de Mattos Almeida et al., 2007). The age structure data is collected from the Vietnam census 2009 and Philippines census 2010.
The higher the score of healthcare assess is, the lower capacity response to dengue is. In this study we used the mean density hospital to illustrate healthcare access component. Mean density hospital per province per year was calculated through a sum of number of clinic, commune public health station, and hospital divides to square kilometer area. High value of the mean density hospital means that it becomes difficult for a person receiving medical care, especially for people in rural area.
Low income contributes to increase risk to dengue (Mattos Almeida, 2007). The poverty component is define as a poverty household percentage per each Vietnam and Philippines province that reported annually by the General Statistic Office of Vietnam and collected by San Tomas University, respectively .
Data Source: windy.com