Use of Categorical Information in Disease Epidemiology
Year: 2025
Type: article
Study design: Observational Study
Abstract: The study aimed to analyze the variance of categorical information in disease epidemiology. The data was collected from federal medical center Ido Ekiti, Ekiti State and analyzed using Minitab V.20. The results showed that there is an association between categorical information and disease prevalence. This study has implications for future research in understanding the epidemiology of diseases and developing effective prevention strategies. Overall, the findings highlight the importance of considering categorical information in disease epidemiology studies. The results based on quarterly data both manually and package (Minitab) shows the test statistics to be 510.663 which is highly above the table value of (X2 11, 0.05) 41.4. bases on this the null (Ho) was rejected and also results based on gender both manually and package shows the test statistics to be 119.648 and highly above the table value of (X2 11, 0.05) 41.4. Based on this the null (Ho) was rejected and also the analysis results of (Chi Square) X2 both manually and software package (Minitab) shows there is accuracy in the use of the software package (Minitab). And also shows that the use of categorical data cannot be under estimate.
Authors: Adeyeye Lawrence Adebayo, Lawal Isiak Oluwatoyin, Raji Taofeek Bamidele, Bolanle Basirat Ismai, Okusaga Ismaila Adebambo
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7105805484
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