Predictors of Human-Wildlife Fatalities

Abstract

ABSTRACT The paper investigates predictors of the increased probability of Human-Wildlife Conflict (HWC) fatalities from attacks on humans. The study uses data from 137 HWC victims in the six wildlife districts of Botswana. A logistic regression model is used to assess demographic, ecological/environmental and geographic predictors of increased probability of fatality. Findings reveal that older victims, winter season, Ngamiland Wildlife district, elephants and distant health facilities present an increased probability of human fatality from animal attacks. In conclusion, several predictors from different aspects contribute to increased probability of fatality in the event of attacks. Therefore, there is need for a holistic approach to reduce HWC fatalities. We recommend that seasonality of HWC attacks on humans should be considered when deploying resources to mitigate against. Further, there is need for the formulation and development of the HWC policy which will guide HWC related issues, holistically.