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This study used available data to analyze the prevalence and influencing factors of various Respiratory tract infections (RTIs), to better our understanding of the local and national epidemiology, and to inform future prevention and control programs. We used a structured questionnaire to solicit information about social demographics and symptoms of the last RTI administered with stratified clustered randomized sampling. Descriptive analysis was used to investigate the reported symptoms, and multivariate logistic regression models to identify relationships b