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Asia-Pacific Network for Global Change Research

Asia-Pacific Network for Global Change Research

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Project • CAF2015-RR16-NMY-Pham, CAF2016-RR11-CMY-Pham

Utilizing Geospatial Technology to Assess Health Vulnerability to Climate Change for Rural Population in Viet Nam and the Philippines

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.

Project publications

Peer-reviewed publication • 2020

Assessing and modelling vulnerability to dengue in the Mekong Delta of Vietnam by geospatial and time-series approaches

Peer-reviewed publication • 2020

Time-series modelling of dengue incidence in the Mekong Delta region of Viet Nam using remote sensing data

Conference material • 2019

Correlation of dengue diseases and climate variable using geospatial data for Vietnam

Conference material • 2019

Modelling dengue disease with climate variables using geospatial data for Vietnam and Philippines

Conference material • 2019

Study on Vector-Born Diseases in the Context of Climate Change using Geospatial Data and Modelling for Philippines and Vietnam

Conference material • 2019

Mapping health vulnerability to climate change for rural population in Vietnam and Philippines using geospatial technology

Peer-reviewed publication • 2019

Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data

Peer-reviewed publication • 2018

Mapping of dengue vulnerability in the Mekong Delta region of Viet Nam using a water-associated disease index and remote sensing approach

Presentation • 2018

Modelling dengue disease with climate variables using geospatial data for Vietnam and Philippines

Report • 2018

Project Final Report: CAF2016-RR11-CMY-Pham

Presentation • 2017

Mapping vulnerability to dengue in Mekong Delta region, Vietnam, from 2002 to 2014 using geospatial data by water-associated disease index approach

Conference material • 2016

Correlation of dengue disease and climate variables using geospatial data for Vietnam

Conference material • 2016

Prediction Model for Dengue and Malaria Cases in the Philippines: A Preliminary Study