Research on the infection status of and factors influencing COVID- 19 based on a questionnaire survey

Abstract

Abstract Purpose To investigate the infection situation of coronavirus disease 2019 (COVID-19) in the population after the lifting of epidemic prevention and control measures and to study and analyze its related influencing factors. Methods From March 11 to March 20, 2023, questionnaires on COVID-19 infection were distributed on the Questionnaire Star platform, and SPSS 19.0 software was used for statistical processing. Results The results showed that the infection rate of COVID-19 among the respondents reached 72.24%. Fever, fatigue, cough were the main symptoms during infection, among which 58.81% of infected people reported post COVID-19 symptoms. An unconditional logistic regression model showed that age (P = 0.002), area of residence (P༜0.001), vaccine doses (P = 0.025) were statistically significant.The infection risk was the lowest (OR = 0.40; 95% CI = 0.14–1.11) in the ≤ 17 age group and the highest (OR = 1.40; 95% CI = 0.63–3.10) in the 18–44 age group.The risk of infection was higher in urban areas (OR = 2.28; 95% CI = 1.69 ~ 3.35). The risk of infection among one dose of vaccine was the highest (OR = 1.77; 95% CI = 0.43 ~ 7.28). Conclusions COVID-19 had a high infection rate, children had a lower risk of COVID-19.People who lived in cities were more susceptible to COVID-19 and it is necessary to increase the number of vaccine doses.