Utilizing geospatial technology to assess health vulnerability to climate change for rural population in Vietnam and Philippines Code: CAF2015-RR16-NMY-Pham

Vietnam and Philippines are recognized as the most vulnerable to climate change due to regular flooding and frequent typhoons and therefore an increased burden of climate change related diseases. Changes in temperature and precipitation are likely to alter the incidence and distribution of vector-borne diseases such as dengue and malaria. Our aim is to map health vulnerability to these diseases under climate change for rural populations in Vietnam and Philippines.

We will develop a geospatial database on the above-mentioned diseases including temperature, precipitation, land cover, socio-economic conditions etc. for the most disease exposure regions in two countries; identify trends in epidemiological patterns; identify vulnerable locations and risk factors, and mapping health vulnerability to malaria and dengue. This activity matches with APN's Focus Activities of developing high-resolution earth observational datasets that can contribute to filling data gaps as well as sharing of public health-oriented data. Moreover, the project results will help build science-based knowledge for adaption planning and decision making in health sector via informing risk and vulnerability. This contributes to APN's high priority activities in development and utilization of vulnerability and risk assessments, and utilization of available information including climate data in applications for adaptation.

Dengue and malaria are considered the most health burden under changing climate in Vietnam and Philippines, where impacts of climate change appear severely due to more frequent flooding and typhoons. The objective of the project is to improve the knowledge of the above vector-borne diseases and their vulnerability to climate variability for rural population in both countries by using advanced geospatial technology. The study will cover a period of 20 years over disease exposure areas determined by pattern matching approach.

The project activities are comprised of collecting data and field survey to develop a geospatial database; data analysis; and mapping vulnerability of health to climate change. Expected outputs of the project include the database of climate change related diseases, temporal trends and distribution patterns of disease incidence and its relations to variability of climate and socio-economic conditions, and vulnerability maps of mosquito-borne diseases under climate change.

The project results will support adaption planning and decision making in health sector via providing disease information and vulnerability.