Economic impact of malaria in Malawian households

Autor: M, Ettling, D A, McFarland, L J, Schultz, L, Chitsulo
Rok vydání: 1994
Předmět:
Zdroj: Tropical medicine and parasitology : official organ of Deutsche Tropenmedizinische Gesellschaft and of Deutsche Gesellschaft fur Technische Zusammenarbeit (GTZ). 45(1)
ISSN: 0177-2392
Popis: Household heads were questioned about household income and household expenditures on the treatment or prevention of malaria in a nationwide malaria knowledge, attitudes, and practices (KAP) survey conducted in Malawi in 1992. Very low income households with an average annual income of $68 constituted 52% of the sampled households. The primary income source for these households was farm production (92%), with the majority of goods produced consumed by the household and not available as discretionary income. Expenditure on malaria prevention varied with household income level. Only 4% of very low income households spent resources on malaria preventive measures compared to 16% of other households. In contrast, over 40% of all households, independent of income level, reported expenditures on malaria treatment. Almost half of the reported malaria cases sought treatment at a health facility at a cost of $0.21 per child case and $0.63 per adult case. The overall direct expenditure on treatment of malaria illness in household members was $19.13 per year (28% of annual income) among very low income households and $19.84 per year (2% of annual income) among low to high income households. The indirect cost of malaria, calculated on the basis of days of work lost, was $2.13 per year (3.1% of annual income) among very low income households and $20.61 per year (2.2% of annual income) among low to high income households. Very low income households carried a disproportionate share of the economic burden of malaria, with total direct and indirect cost of malaria among these households consuming 32% of annual household income compared to 4.2% among households in the low to high income categories.
Databáze: OpenAIRE