The socio-economic effects of tropical diseases in Nigeria.
Urinary schistosomiasis is the most prevalent of the endemic tropical diseases: 48% of the population is afflicted in the study area. The socio-economic, environmental and health-seeking behavioural characteristics of the population are conducive to the spread of urinary schistosomiasis. The attitudes considered include knowledge of what causes the disease and how to control it, attitude toward the disease, care of oneself, hygiene and sanitation. The effect of such social variables as stigmatisation, and environmental variables such as water source is also considered. We find that a unit increase in the hygiene/sanitation index for adult males and adult females lead to a reduction of about 7.3 and 4.0 eggs S. haematobium in 10 ml urine sample, respectively. Thus, simple hygienic activities such as keeping the immediate environment of the household free from human wastes contribute substantially to disease control. Furthermore, prevalence of the disease is higher among males. Losses from work attributed to urinary schistosomiasis are high. Average values of key socio-economic variables-labour flow for land clearing, farm size and cash income-computed for farm families with high urinary schistosomiasis intensity in the sample are 1085 h, 1.4 ha and N 1,432 (US dollars 65) respectively. The corresponding figures for farm families free from the disease are significantly higher: 1325 h, 1.9 ha and N 3,759 (US dollars 171), respectively.
Department of Agricultural Economics, University of Agriculture, P.M.B. 2373, 970001 Makurdi, Benue State, Nigeria. jceu1@yahoo.com
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Umeh
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Amali
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Umeh
D000383:Agriculture / Q000706:statistics & numerical data*; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016014:Linear Models; D008297:Male; D009549:Nigeria / Q000453:epidemiology; D015995:Prevalence; D012307:Risk Factors; D012423:Rural Health / Q000706:statistics & numerical data; D012553:Schistosomiasis haematobia / Q000191:economics* / Q000453:epidemiology*; D018582:Sick Leave / Q000191:economics / Q000706:statistics & numerical data; D012959:Socioeconomic Factors