南京市新冠感染疫情协查信息特征分析

目的分析南京市新冠感染疫情协查信息的特征,为优化协查信息系统功能、完善疫情处置流程提供参考。方法利用《江苏省突发急性传染病接触者追踪管理系统》查询2021年1月1日—10月31日期间与南京市相关的新冠感染疫情协查信息,下载数据并做分析。结果2021年1月1日—10月31日期间,南京市共处理协查信息函件16239件,其中密切接触者函件7464件,密切接触者的密切接触者函件7633件,一般接触者函件1142件。函件数量逐月缓慢上升,但7、8月份呈现突破性急剧增多。函件涉及全国除港澳台之外的31个省(自治区、直辖市)。本省外市发南京协查的密接人员,当日管控率高于外省发南京协查的密接人员(80.15%vs.48.63%,χ^(2)=38.002,P<0.05);次日管控率、延期管控率均低于外省发南京协查的密接人员(11.76%vs.38.70%,χ^(2)=31.967,P<0.05;2.21%vs.10.27%,χ^(2)=8.488,P<0.05)。结论有必要建立一套可供全国各省市区直接使用的、可实现协查信息实时传递的应用系统,进一步提升协查信息录入、传输、反馈的速率,为疫情防控赢得宝贵时间。各地应当持续做好能力储备,随时应对新冠感染突发疫情。

Characteristics of collaborative-tracking information about contacts exposed to patients with SARS-CoV-2 infection in Nanjing

Objective To analyze the characteristics of collaborative-tracking information on contacts exposed to patients with SARS-CoV-2 infection in Nanjing, and to provide references for optimizing the function of the collaborative-tracking information system and improving the epidemic disposal process. Methods The collaborative-tracking information on contacts exposed to patients with SARS-CoV-2 infection in Nanjing from January 1 to October 31, 2021 was queried and downloaded from the Contact Tracing and Management System for Acute Infectious Diseases in Jiangsu Province for subsequent analysis. Results From January 1 to October 31, 2021, we handled 16,239 letters about collaborative-tracking information related to Nanjing, including 7,464 letters about close contacts, 7,633 letters about sub-close contacts and 1,142 letters about general contacts. The volume of letters grew slowly from month to month; however, there was a breakthrough surge in July and August. The letters involved 31 provinces (autonomous regions and municipalities directly under the central government) on the Chinese mainland. The day control rate of close contacts from other cities in Jiangsu Province was higher than that of close contacts from other provinces (80.15% vs. 48.63%, χ²=38.002, P<0.05). The next-day control rate and delay control rate were lower than those of close contacts from other provinces (11.76% vs. 38.70%, χ²=31.967, P<0.05; 2.21% vs. 10.27%, χ²=8.488, P<0.05). Conclusion It is necessary to establish a set of collaborative-tracking information system that can be used across the country. The speed of information input, transmission and feedback needs to accelerate so as to gain precious time for the epidemic prevention and control. All localities should keep enhancing their capacities to deal with the epidemic, and always be ready to respond to the outbreak of SARS-CoV-2 infection at any time.