Prognostic risk factors inducing acute hepatitis contagion in Jakarta, Indonesia: Linear predictive model application

Abstract

Hepatitis is a serious global health issue caused by a variety of infectious viruses and noninfectious agents, affecting the liver organ of the human body. In Indonesia, hepatitis has been widely transmitted, including in DKI Jakarta, where the number of acute hepatitis cases is a major concern. In this study, we investigated the number of acute hepatitis cases in 44 sub-districts of DKI Jakarta, Indonesia. Using RStudio, we constructed 15 mathematical models to identify risk factors that induce hepatitis transmission. The models were then subjected to a global Anova test (f-test) to determine the factors that significantly impact the number of acute hepatitis patients. Our analysis found that several risk factors were strongly associated with hepatitis transmission in DKI Jakarta. One of the most significant factors was the number of infants who had been immunized with hepatitis B vaccine (HBO). This finding suggests that increasing the number of infants who receive the vaccine could have a significant impact on reducing the number of acute hepatitis cases in the region. Other factors that were found to be strongly associated with hepatitis transmission included the total population and the number of diabetics in each sub-district. To support our findings, we used the pairs function to observe various scatter plots, which helped to visualize the relationship between the risk factors and the number of acute hepatitis patients. Our study provides important insights into the factors that contribute to hepatitis transmission in DKI Jakarta and highlights the need for effective prevention and control strategies to reduce the burden of this disease. Overall, our findings have important implications for public health policy and practice, not only in Indonesia but globally.