Malaria incidence in rural Benin: does economics matter in endemic area?
Malaria represents a major health problem with over 1 million annual deaths in Africa alone. There are a limited number of policies tackling the health problems of people at greater risk, namely the poor and rural communities. This is partly due to the lack of evidence available on the range of factors affecting their health status. Despite endemic malarial situations, there is still little understanding of the relative importance of economic factors that contribute to people acquiring malaria. This paper examines the socio-economic and economic factors that affect the incidence of malaria in rural community households in Benin, where malaria is endemic. A sample of 1585 households was determined to collect information on socio-economic characteristics and the presence of malaria symptoms. Probit estimation techniques were used to assess the impact of socio-demographic and socio-economic factors on the incidence of malaria, comparing households with and without malaria patients. Predisposing characteristics of the household head such as age, knowledge of malaria, education and the size of the household significantly affect the incidence of malaria as anticipated by economic theory. Enabling factors reflecting higher economic status, measured by monthly expenditure and a socio-economic index, have a statistically significant and positive impact on the incidence of malaria. This could reflect that better-off have improved case reporting and are likely to seek treatment. Variations in socio-economic and economic characteristics are significant in explaining the incidence of malaria, even in an endemic malarial setting.
Mensah
Omer A
OA
Faculty of Economics and Management, University of Abomey-Calavi, Abomey-Calavi, Benin. mensaho@afro.who.int
Kumaranayake
Lilani
L
D000293:Adolescent; D000328:Adult; D000368:Aged; D001541:Benin / Q000453:epidemiology; D002648:Child; D019353:Endemic Diseases / Q000191:economics*; D005191:Family Characteristics / Q000208:ethnology; D005260:Female; D006306:Health Surveys; D006801:Humans; D015994:Incidence; D008288:Malaria / Q000175:diagnosis / Q000191:economics* / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D011336:Probability; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012423:Rural Health / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D012923:Social Class; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires