|其他題名:||A Study of Dengue Fever Epidemic|
Rainfall, dengue fever
independent sample t test
Abstract Dengue fever is an infectious disease that everyone is familiar with. From time to time, I can see it in textbooks, but in life we don't have much awareness. In recent years, many of the confirmed cases of dengue fever have occurred in the city where we live, Taichung. This has triggered our motivation for this topic. We want to use statistical analysis methods to study which factors will cause the dengue fever to worsen. We use R software as a tool to analyze the relationship between the monthly mean temperature of the holy and non-Holy infant years and the number of dengue cases in the month by regression analysis; to investigate the relationship between rainfall and the number of dengue cases by independent sample t test; Use t to check whether the number of people in South Asia is increasing year by year, and then use regression analysis to explore the relationship between the number of tourists in Southeast Asia and the number of cases of dengue fever. We used simple linear regression to analyze the comparison between the three years of Taipei, New Taipei and Taoyuan in the Year of the Infant and the Year of Anti-Sacred Infant. We found that the average monthly temperature of anti-Holy infants in the northern region was compared with the number of dengue cases. related. The results of rainfall and dengue cases were investigated by independent sample t. It was found that the correlation was not high. We suspected that there might be a delay between the average rainfall and the number of cases, so there was an error. Finally, we explored that the number of tourists in Southeast Asia is related to the number of dengue cases. As the number of tourists in Southeast Asia increases, the number of cases also grows.
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