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The WHO Africa region has the highest disaster mortality rate compared to the other five regions of the organization. Those deaths are hypothesized to have significantly negative effect on per capita gross domestic product (GDP). The objective of this study was to estimate the loss in GDP attributable to natural and technological disaster-related mortality in the WHO African Region. We estimated the impact of disaster-related mortality on GDP using double-log econometric model and cross-sectional data (from the UNDP and the World Bank publications) on 45 out of 46 countries in the WHO African Region. The coefficients for capital (K), educational enrolment (EN), life expectancy (LE) and exports (X) had a positive sign; while imports (M) and disaster mortality (DS) were found to impact negatively on GDP. The abovementioned explanatory variables were found to have statistically significant effect on GDP at 5% level in a t-distribution test. Disaster mortality of a single person was found to reduce GDP by US$0.018. We have demonstrated that disaster mortality has a significant negative effect on GDP. Thus, as policy-makers strive to increase GDP through capital investment, export promotion and increase in educational enrolment, they should always recall that investments in strengthening national capacity to mitigate the effects of national disasters expeditiously and effectively shall yield significant economic returns.

HIV/AIDS is hypothesized to have substantive negative impact on health status and economic development of individuals, households, communities and nations. The objective of this study was to estimate the burden of HIV/AIDS on GDP in the WHO African Region using a production function approach. The economic burden analysis was done using a double-log econometric model and a cross-sectional data on 45 to 46 countries in the WHO African Region. The data were obtained from WHO, UNAIDS, ECA, UNDP and the World Bank publications. The coefficient for Capital (K), Education (EN), Export (X) and Imports (M) were found to be statistically significant determinants of per capita Gross Domestic Product (GDP) at 5% level of significance (using a one-sided t-distribution test). Unfortunately, HIV/AIDS morbidity (V) and HIV/AIDS deaths (VD), at the same level of significance, were found to have statistically insignificant impact on GDP. However, the coefficients of these variables had negative signs as expected. In all African countries, there is need for more detailed research on the total economic cost of HIV/AIDS (probably estimated using micro-level costing and willingness-to-pay methods) and for economic evaluations of treatment, prevention and promotion programmes.

There is a growing conviction among policy-makers that the availability of adequate numbers of well-trained and motivated human resources is a key determinant of health system' s capacity to achieve their health, responsiveness and fairness-improving goals. The objective of this study was to estimate the cost, effectiveness and incremental cost-effectiveness ratios of various distance-education strategies for the health sector in Swaziland; and recommend the most cost-effective option. The distance-education strategies evaluated included: Mobile library services (MLS); micro-resources centers WITHOUT video conferencing in five health centers and four regional hospitals (MRC-VC); micro-resources centers WITH video conferencing in five health centers and four regional hospitals (MRC+VC); centralized resource center WITHOUT video conferencing (CRC-VC); centralized resource center WITH video conferencing (CRC+VC); and status quo (SQ). The incremental cost-effectiveness ratio for MLS was Emalangeni (E) 41,846; MRC-VC was E42,696; MRC+VC was E45,569; CRC-VC was E43,578; CRC+VC was E40,827; the latter being the most cost-effective distance-education strategy. According to policy-makers, this study served to clarify the various distance-education strategies, their costs and their benefits/effectiveness. There is a need for developing in Africa a culture of basing policy and management decisions of such kind on systematic analyses. Of course, economic evaluation will, at most, be a guide to policy- and decision-making, and thus, the onus of decision-making will always be on policy-makers and health-care managers.