Unveiling the Factors Influencing Dengue Fever Spread and Forecasting Future Epidemiology Through Path Analysis: Regression Model

Dengue fever is a serious infectious disease that can be fatal if not diagnosed and treated promptly. Several factors are believed to contribute to the spread of this disease. Many studies have examined these factors and their influence on dengue fever. However, the geographical conditions of each area can vary greatly, and findings may not be applicable across different regions. There is still debate over whether climatic factors can explain the occurrence of dengue fever. This study aims to analyze the impact of various factors on dengue fever incidence in multiple regions using path analysis. The study examines both exogenous and endogenous variables, including dengue fever incidence, population density, larvaefree index, temperature, humidity, rainfall, and wind speed. The results of the path analysis are used to forecast future dengue fever cases. The forecast results can assist health agencies in developing effective policies and strategies to control dengue fever outbreaks.