Comparing the demographic characteristics of two groups of individuals based on the results of their COVID-19 tests (positive and negative).
The codes provide a comprehensive analysis of the relationships between demographic characteristics and COVID-19 status. A sample of 1354 people. demographic characteristics: Sex, Education, height, Job, Marry, Bckground_history, Smoking, reading, writing, Age, Blood, biomarker_1, biomarker_2, biomarker_3. Two Groups based on the results of their COVID-19 tests(positive and negative): Target= Yes or No
The results show that there is a significant association between some of the demographic characteristics (Including: sex, height, Job, Marry, Smoking, reading, Age, Blood) and COVID-19 status (p-value < 0.05). So these demographic characteristics can contribute to the community spread of COVID-19.
While there is not a significant association between some of the demographic characteristics(Including: Education, Bckground_history, writing, biomarker_1, biomarker_2, biomarker_3) and COVID-19 status (p-value > 0.05).