Objective To analyze the impact of the detection time of COVID-19 cases in Hefei on the isolation of the source of infection,the course of disease and the clinical severity of the patients,so as to provide reference for the prevention and control of the epidemic. Methods According to COVID-19 cases reported in Hefei in China Information System for Disease Control and prevention-infectious disease surveillance system,the correlation of course of disease with onset first diagnosis,onset diagnosis,onset first diagnosis,onset isolation time,and onset diagnosis time were analyzed. Results A total of 174 cases was diagnosed in Hefei from January 1,2020 to March 10th.The median time of onset and first diagnosis was 2 days,and the median time of onset and diagnosis was 6 days.The time intervals of onset first diagnosis,onset diagnosis,first diagnosis and onset isolation were gradually shortened with the progress of the epidemic.The median duration of the disease was 24 days.With the shortening of the interval between onset and diagnosis,the duration of the disease was shortened.The interval between onset and diagnosis was positively correlated with the duration of the disease (rs=0.540,P<0.001). Conclusion The ability to early detect COVID-19 cases has been gradually improved with the progress of epidemic prevention and control,which can effectively shorten the course of disease of patients.
Key words
COVID-19 /
Emerging infectious diseases /
Early detection /
Time interval
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 李士雪,单莹.新型冠状病毒肺炎研究进展述评[J/OL].山东大学学报(医学版):1-7[2020-03-10].http://kns.cnki.net/kcms/detail/37.1390.r.20200306.0947.004.html.
[2] 中华预防医学会新型冠状病毒肺炎防控专家组.新型冠状病毒肺炎流行病学特征的最新认识[J/OL].中国病毒病杂志:1-7[2020-03-10].https://doi.org/10.16505/j.2095-0136.2020.0015.
[3] 王继伟,谷本哲也,赵天辰,等.日本新型冠状病毒肺炎传播初期阶段的流行现状及应对[J/OL].上海预防医学:1-8[2020-03-12].https://doi.org/10.19428/j.cnki.sjpm.2020.20107.
[4] 王丽萍,郭青,张春曦,等.网络直报模式下传染病发现相关环节探讨[J].疾病监测,2007,22(12):851-852.
[5] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第二版)[EB/OL].(2020-01-18).
[6] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第三版)[EB/OL].(2020-01-23).http://www.nhc.gov.cn/xcs/zhengcwj/202001/f492c9153ea9437bb587ce2ffcbee1fa/files/39e7578d85964dbe81117736dd789d8f.pdf.
[7] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第四版)[EB/OL].(2020-01-27).http://www.nhc.gov.cn/yzygj/s7653p/202001/4294563ed35b43209b31739bd0785e67.shtml.
[8] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第五版)[EB/OL].(2020-02-05).http://www.nhc.gov.cn/yzygj/s7653p/202002/3b09b894ac9b4204a79db5b8912d4440.shtml.
[9] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第六版)[EB/OL].(2020-02-19).http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2.shtml.
[10] 国家卫生健康委员会办公厅.新型冠状病毒肺炎诊疗方案(试行第七版)[EB/OL].(2020-03-04)http://www.nhc.gov.cn/yzygj/s7653p/202003/46c9294a7dfe4cef80dc7f5912eb1989.shtml.
[11] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(试行)[EB/OL].(2020-01-15).
[12] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(第二版)[EB/OL].(2020-01-22)http://www.nhc.gov.cn/jkj/s3577/202001/c67cfe29ecf1470e8c7fc47d3b751e88.shtml.
[13] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(第三版)[EB/OL].(2020-01-28)http://www.nhc.gov.cn/jkj/s7923/202001/470b128513fe46f086d79667db9f76a5.shtml.
[14] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(第四版)[EB/OL].(2020-02-07)http://www.nhc.gov.cn/jkj/s3577/202002/573340613ab243b3a7f61df260551dd4.shtml.
[15] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(第五版)[EB/OL].(2020-02-21)http://www.nhc.gov.cn/jkj/s3577/202002/a5d6f7b8c48c451c87dba14889b30147.shtml.
[16] 国家卫生健康委员会办公厅.新型冠状病毒肺炎防控方案(第六版)[EB/OL].(2020-03-07)http://www.nhc.gov.cn/jkj/s3577/202003/4856d5b0458141fa9f376853224d41d7.shtml.
[17] Steele L,Orefuwa E,Dickmann P.Drivers of earlier infectious disease outbreak detection:a systematic literature review[J].International Journal of Infectious Diseases,2016,53(8):15-20.
[18] 王瑞平,毛琦,吴毅凌,等.传染病长期趋势对国家传染病自动预警信息系统预警阈值设置的影响分析[J].现代预防医学,2019,46(11):1921-1923,1932.
[19] 解瑞谦,阚坚力.传染病突发公共卫生事件信息来源与发现方式分析[J].疾病监测,2011,26(11):893-896.
[20] 郭飚.现有传染病监测体系在新发传染病发现和识别方面存在的不足和改进对策[J].中国计划免疫,2007,13(3):276-279.
[21] 魏虹,程怡民,陈世强,等.我国监测系统在应对新发感染病中的不足[J].现代预防医学,2008,35(3):496-497,499.
[22] 张进,刘红.中国新发传染病早期发现与识别能力的策略[J].安徽预防医学杂志,2016,22(2):121-123,126.
[23] 林丽娟.面向动态接触网络的传染病早期发现方法研究[D].长春:吉林大学,2017.
PDF(981 KB)
