Abstract
Tuberculosis is a disease caused by a contagious infection of the bacterium Mycobacterium tuberculosis which is transmitted through droplets in the air. Based on information from the Indonesian Ministry of Health, there has been an increase in cases since 2017 by 254 cases per 100,000 population, in 2018 250 cases per 100,000 population and in 2019 to 254 cases per 100,000 population in Indonesia. Based on a report from the Central Statistics Agency of North Sumatra, in 2018 cases of pulmonary TB in North Sumatra Province as a whole reached 23,237 cases, while in 2020 there were around 33,779 cases of the spread of this disease. This indicates an increase in cases of 10,542 cases in the span of two years. This study aims to provide an overview related to the distribution pattern of the number of pulmonary TB patients in the North Sumatra Province area by utilizing technology based on geographic information systems using spatial statistical regression method. The applications used in this processing include ArcGIS in processing data and GeoDa in regression analysis. The results showed that there was a correlation between the population density variable between regions and the level of pulmonary TB sufferers in North Sumatra. Based on the test statistic value in the Spatial Autoregressive Model is 2.5634 with a p-value of 0.473466 indicating the decision to reject H0 which states that there is a spatial dependence between regions with population density variables and the high and low cases of pulmonary TB that occur in districts and cities in North Sumatra Province and supported with the results of the autocorrelation Moran's I index obtained is 0.268999 with a p-value of 0.000001 so that it shows that there is a positive spatial autocorrelation.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call