The Impacts of Water Quality and Food Availability on Children’s Health in West Africa: A Spatial Analysis Using Remotely Sensed Data and Small-Scale Water Quality Data and Country-level Health Data

Abstract:

As the global climate changes and the populations of many African countries grow, ensuring clean drinking water and food has become a pressing concern. Because of their vulnerability to malnutrition and food insecurity, children face the greatest risk for adverse health outcomes related to climate change. Vulnerability, however, is highly variable, with some children in food insecure communities showing healthy growth, while some children in food secure communities show signs of malnutrition.

In West Africa, Burkina Faso faces high levels of child malnutrition, loses to farmland and a large share of the population have no access to clean water. Because the overwhelming majority of children rely on locally grown, rainfed agriculture and well/surface water, the combined impact of climate change and population growth decreases water availability and farmland per person. However, there is notable community and individual variation in malnutrition levels suggesting that there are important coping strategies that vulnerable families may use to secure their children’s health. No spatially relevant analysis of water and food insecurity and children’s health exists for Burkina Faso.

The goal of this research is to identify and quantify the combined and inter-related impact of unsafe drinking water and community-level food availability on the physical health outcomes of Burkinabe children under five years of age. To accomplish this goal we rely on a publically available highly detailed, geo-referenced data set (Demographic and Health Survey (DHS)) to provide information on measures of childhood malnutrition and details on parental characteristics related to children’s health. Information on water source (covered/uncovered well, piped water, etc.) and water quality (measures of arsenic and pollution) comes from DHS along with a recently collected geo-referenced US Agency for International Development (USAID) data set. Critical information on food production, environmental characteristics and population density come from high resolution remotely sensed data.