A Comprehensive Statistical Analysis of Symptoms and Impact of Dengue Fever: A Case Study at University of Peshawar
Abstract
This study conducted a comprehensive statistical analysis of the symptoms and impact of dengue fever, incorporating additional factors such as prevention awareness, disease control, aftereffects, disease stages, serotypes, recovery, and treatment. Data were gathered through questionnaires from 400 students across various departments at Peshawar University, representing both urban and rural areas. The data were processed using SPSS (Version 20) and analyzed using methods like odds ratio, chi-square, pie charts, and bar charts to examine the different symptoms and impacts of dengue fever in this study the findings revealed that approximately one-third of the respondents aged 18-30 had been affected by dengue fever. The results indicate a significant association between these two variables. Furthermore, the odds ratio of 0.5 suggests that respondents aged 18 to 25 are half as likely to isolate during dengue compared to those aged 26 to 35. The study identified common symptoms such as headache, flu-like symptoms, rash, joint and muscle pain, loss of appetite, abdominal pain, and bleeding from the gums. A majority (68.25%) considered dengue a serious illness, and 63.3% perceived it as more prevalent in urban areas. Additionally, the research indicated that a significant number of respondents were skeptical about the long-term effects of dengue, such as hair loss and alopecia, despite existing evidence suggesting these outcomes this study underscores the importance of understanding the prevalence and implications of dengue fever and emphasizes the need for heightened awareness and effective preventive measures.
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