Correlation of rainfall and socio-economic with incidence dengue in Jakarta, Indonesia
Objective: This investigation was aimed to determine the correlation of rainfall and socio-economic factors with total patient, incidence rate (IR) and the cost of illness due to DHF in Jakarta. Method: A cross-sectional study was applied in this study by collecting data related to the medical record of DHF patient, rainfall, and socio-economic factors from the Department of Health, Department of Meteorological, Climatological and Geophysics, and Statistics Indonesia, respectively. Societal and payer perspectives were considered in this study. A Spearman non-parametric correlation was performed to determine the correlation of rainfall and socio-economic factors with incidence rate and cost of illness due to DHF. Result: The results showed that rainfall has significant correlations with IR, total patient, and cost of illness from both perspectives. IR also has a significant correlation with the cost of illness from both perspectives. The total population has a significant correlation with IR and total patient, whereas population density and population growth have insignificant correlations with IR and total patient. In socio-economic variables, the human development index and mean years of schooling have positive significant correlations with the total patient, while the poverty rate has a negative significant correlation. Annual expenditure per capita and GDP have a significant correlation with IR and the total patient. Conclusion: Rainfall has a significant correlation with IR, total patient, and cost of illness from both perspectives. The total population, expenditure per capita and GDP have a significant correlations with total patient and IR.
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