Correlation Study between Population Density and Tuberculosis Incidence at Selogiri Community Health Center Area in 2023

Heni Hastuti, Endang Sulaeman Sutisna, Anak Agung Alit Kirti Estuti Narendra Putri, Ninik Hartini

Abstract

Introduction: Tuberculosis (TB) is an infectious disease that a public health issue both globally and nationally, with high incidence rates including Indonesia. Factors such as drug resistance, population mobility, and decreased vaccination coverage can worsen the situation. One of the influencing factors is population density, transmission through airborne droplets due to the closer proximity of individuals and poor air circulation. In the Selogiri Community Health Center area, the number of TB cases shows a concerning trend, making it important to investigate the relationship between population density and the incidence of TB.

Methods: This cross-sectional ecological correlation study was conducted in the Selogiri Community Health Center area covering a total population of 46,964 people. Secondary data were obtained from TB case reports and demographic data. The analysis used the Pearson correlation test after confirming the assumptions of linearity and normality.

Results: The study shows a positive and significant association between population density and the number of TB cases in the Selogiri Community Health Center area in 2023, with a correlation value of r = 0.825 and p = 0.002. Villages with higher population density, such as Kaliancar and Jendi, recorded a higher number of TB cases compared to villages with lower density. The findings indicate that higher population density is strongly associated with an increased number of TB cases, highlighting the need for special attention in disease prevention and control strategies in densely populated areas.

Conclusion: There is a significant relationship between population density and TB cases in the Selogiri Community Health Center area in 2023; the higher the density, the higher the TB cases.

Keywords

multidrug-resistant; population density; prevention and control; risk factor; tuberculosis incidence

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