ANALISIS SPASIAL IKLIM TERHADAP KEJADIAN TUBERKULOSIS PARU DI KABUPATEN MANDAILING NATAL TAHUN 2020

Abstract

Lung tuberculosis becomes the main public health problem in Serdang Bedagai Regency. The fluctuation of prevalence rate in the period of four years -which showed the prevalence rate of the population was 74/100,000 in 2009, 113/100,000 in 2016, 87/100,000 in 2019, and 129/100,000 in 2020. One of the most important factors of the epidemiology of lung tuberculosis is environment. Partially, the factor of environment contributes to the incidence of lung tuberculosis individually, and simultaneously it becomes the description of the incidence of lung tuberculosis in a region. The objective of the research was to find out the correlation between climate and the incidence of lung tuberculosis in Mandailing Natal Bedagai Regency by observing the coastal area and non-coastal area by using ecology study through spatial approach with secondary data. The data were analyzed by using univatriate analysis and bivatriate analysis with Spearman and Pearson correlation test, and multivatriate analysis with multiple linear regression tests at the level of reliability of 95%, as well as spatial analysis with Overlay technique. The result of the research showed that, statistically, there was no correlation among the studied variables. The result of multiple linear regression analysis showed that humidity (p - 0.013) and the length of sunshine (p = 0.020) were the climate factor which had the most dominant influence on the incidence of lung tuberculosis in the non-coastal area of Serdang Bedagai Regency in the period of 2017-2020. Based on the spatial result, it was found that the variable of climate influenced the fluctuation of the incidence of lung tuberculosis in Perbaungan District, and Tebing Sahbandar. It is recommended that the Health Service communicate with BMKG to anticipate the increase of the incidence infection, especially the incidence of lung tuberculosis, caused by climate and improve the capability of making mapping program in order to break off the link of lung tuberculosis transmission and the factors which influenced it