Are there geographic and socio-economic differences in incidence, burden and prevention of malaria? A study in southeast Nigeria
نویسندگان
چکیده
RATIONALE It is not clearly evident whether malaria affects the poor more although it has been argued that the poor bear a very high burden of the disease. This study explored the socioeconomic and geographic differences in incidence and burden of malaria as well as ownership of mosquito nets. METHODS Structured questionnaires were used to collect information from 1657 respondents from rural and urban communities in southeast Nigeria on: incidence of malaria, number of days lost to malaria; actions to treat malaria and household ownership of insecticide treated and untreated mosquito nets. Data was compared across socio-economic status (SES) quartiles and between urban and rural dwellers. RESULTS There was statistically significant urban-rural difference in malaria occurrence with malaria occurring more amongst urban dwellers. There was more reported occurrence of malaria amongst children and other adult household members in better-off SES groups compared to worse-off SES groups, but not amongst respondents. The average number of days that people delayed before seeking treatment was two days, and both adults and children were ill with malaria for about six days. Better-off SES quartile and urban dwellers owned more mosquito nets (p < 0.05) (treated and untreated). CONCLUSION Malaria occurs more amongst better-off SES groups and urban dwellers in southeast Nigeria. Deployment of malaria control interventions should ensure universal access since targeting the poor and other supposedly vulnerable groups may exclude people that really require malaria control services.
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متن کاملAuthor's response to reviews Title: Do consumers' preferences for improved provision of malaria treatment services differ by their socio-economic status and geographic location? A study in southeast Nigeria Authors:
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The term "health inequalities" is not a descriptive one: it refers to discrepancies in morbidity and mortality, life expectancy, disability life adjusted years, etc that are due to differences in such factors as socioeconomic status, gender and race/ethnicity. Socio-economic inequalities are the differences in health status (e.g. disease prevalence and incidence rates) across various socio-econ...
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