Economic Analysis of Climate Variability Impact on Malaria Prevalence: The Case of Ghana
A number of studies exist on the relationship between climatic factors and malaria prevalence. However, due to scarcity of data, most of the studies are based on biophysical experiments and do not control for socioeconomic covariates. This research, which uses data on Ghana, contributes to the thin literature that addresses this limitation. We found that humidity and rainfall predict malaria prevalence. Furthermore, our results suggest that malaria prevalence increases with rainfall, the proportion of middle income households, and the proportion of households with no formal education. The corresponding elasticity coefficients are 0.67, 0.12 and 0.66, respectively. Significant differences in the prevalence rate have also been observed across regions.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yilma, Zelalem & van Kempen, Luuk & de Hoop, Thomas, 2012. "A perverse ‘net’ effect? Health insurance and ex-ante moral hazard in Ghana," Social Science & Medicine, Elsevier, vol. 75(1), pages 138-147.
When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:5:y:2013:i:10:p:4362-4378:d:29622. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (XML Conversion Team)
If references are entirely missing, you can add them using this form.