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Vietnam and the Philippines are recognized as the most vulnerable countries to climate change due to regular flooding and frequent typhoons, and therefore an increased burden of diseases related to climate change. Temperature and precipitation changes are likely to alter the incidence and distribution of vector-borne diseases such as dengue and malaria. The objective of this project is to improve the knowledge of vector-borne diseases and their relation with climate variability in rural populations in both countries by using advanced geospatial technology.

Covering the period 2000-2016, the authors developed a geospatial database on dengue, including temperature, precipitation, land cover and socio-environmental conditions. Data analyses helped in identifying trends in epidemiological patterns, high-risk locations and factors, and in mapping vulnerability to dengue. In addition, two mathematical approaches were applied to predict dengue incidence in the most disease-exposed regions in the two countries. The project results are expected to contribute to building science-based knowledge for adaption planning and decision making in the health sector by informing risk and vulnerability.