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.