Characteristics of repeated HIV/AIDS case reports in Zhejiang Province
Objective To understand the characteristics and epidemiological patterns of repeated HIV/AIDS case reports in Zhejiang Province,providing insights to refine AIDS surveillance strategies.Methods Data were obtained from the China Disease Prevention and Control Information System,examining HIV/AIDS case report records from Zhejiang Province through the end of 2023.The inclusion criteria were based on identification codes,gender,and birth dates on the report cards.We analyzed both the initial and subsequent confirmed reports for these patients.Frequency analysis and Chi-square tests were utilized to describe and compare the profiles of patients with multiple HIV/AIDS reports.Results By the end of 2023,Zhejiang Province had logged 82 881 HIV/AIDS case records.Due to duplications,9 107 records were omitted,representing 11.0％of the total.The final sample included 2 509 patients with both initial and subsequent records.Among these,1 904(75.9％)were male,and 1 180(47.0％)originated from outside the province,mainly from the Southwest(547 cases,21.8％)and Central South(261 cases,10.4％)regions of China.Repeated reports spanning multiple years involved 1 812 cases(72.2％).Of these,317 cases(12.6％)were within the same county/district,1 332 cases(53.1％)across different counties/districts within the province,and 860 cases(34.3％)across provinces.Patients with cross-provincial reports primarily fell within the 20-39 age group(483 cases,56.2％)and had fewer reports from medical institutions(396 cases,46.0％).Additionally,264 second reports(10.5％)were identified at STD clinics.Conclusions The majority of repeated HIV/AIDS reports in Zhejiang Province were characterized by cross-year and cross-provincial trends,reflecting significant mobility and active sexual behaviors among the population.We recommend streamlining the reporting process to lessen the burden of duplicate records,enhancing health education for confirmed HIV/AIDS patients,and reducing the risk of HIV re-transmission.
万方数据
维普
