Disease Risk Assessment in African Great Apes Using Geographic Information Systems

Abstract

This unique study illustrates the potential application of Geographic Information Systems (GIS) to generate hypotheses regarding which African great ape populations, including bonobos (Pan paniscus), chimpanzees (Pan troglodytes), and gorillas (Gorilla gorilla and Gorilla beringei), are at increased risk from human diseases. Human demographic data and core human health indicator data for the African great ape range countries were obtained. Human population density and percent annual human population growth rate were used as combined indicators of environmental stress/vulnerability (as a proxy measure of human–great ape contact), and infant mortality rate (IMR) and healthy life expectancy (HALE) were used as separate indicators of disease burden among the human populations living in the great ape range countries. Cut-off values were determined and, using GIS, these indicators were analyzed to create maps of critical areas (countries) with both environmental stress and high burden of human diseases. When using IMR as the indicator of disease burden, the great ape range countries identified as critical areas included Benin, Guinea-Bissau, Ivory Coast, Liberia, Nigeria, and Tanzania. Cameroon and Uganda were also identified as critical areas when using HALE as the indicator of disease burden; however, Benin was excluded. Validation of these results would allow for targeted interventions thereby maximizing the use of limited resources. Improvements in public health infrastructure in these critical areas would benefit the human populations that have unmet health needs as well as these endangered species.