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2020 年 3 月至 4 月,尼日利亚西南部奥约州 2019 年冠状病毒病(COVID-19)爆发病例的流行病学。

Epidemiology of coronavirus disease 2019 (COVD-19) outbreak cases in Oyo State South West Nigeria, March-April 2020.

机构信息

African Field Epidemiology Network, Abuja, Nigeria.

Nigerian Field Epidemiology and Laboratory Training Program, Nigeria.

出版信息

Pan Afr Med J. 2020 Jun 23;35(Suppl 2):88. doi: 10.11604/pamj.supp.2020.35.2.23832. eCollection 2020.

Abstract

INTRODUCTION

On March 17th, 2020, Oyo State recorded her first case of COVID-19 through a United Kingdom returnee. Oyo State Ministry of Health with the support of technical and development partners responded quickly and effectively to contain the outbreak. The outbreak was characterized by place, person and time.

METHODS

Field investigations were conducted and contact tracing and follow up done, all confirmed cases were identified, line-listed and analyzed using Epi-info version 7.

RESULTS

A total of 34 confirmed cases were identified all within the capital city of Oyo State and two transferred from other states. The mean age was 49.1 ± 2.0 years with over 40% within the age group 50-59 years. There were 11(35.5%) health care workers infection. The case-fatality was 6.5%. The epidemic curve initially shows a typical propagated pattern, followed by a point source; though atypical.

CONCLUSION

Outbreak of COVID-19 was confirmed in Oyo State. Field investigation provided information on the characteristics of persons, time and place. Intensified surveillance activities such as contact tracing and follow- up, drive through testing and active case search were useful in early case detection and control of the outbreak.

摘要

简介

2020 年 3 月 17 日,奥约州通过一名英国归国人员记录了首例 COVID-19 病例。奥约州卫生部在技术和发展伙伴的支持下,迅速、有效地做出反应,遏制了疫情的爆发。疫情具有地点、人员和时间的特征。

方法

开展现场调查,进行接触者追踪和随访,所有确诊病例均通过 Epi-info 版本 7 进行识别、列线表和分析。

结果

共发现 34 例确诊病例,均在奥约州首府,另有 2 例从其他州转移而来。平均年龄为 49.1±2.0 岁,其中 40%以上年龄在 50-59 岁之间。有 11 例(35.5%)为医护人员感染。病死率为 6.5%。疫情曲线最初呈典型传播模式,随后呈点状源,虽不典型。

结论

奥约州已确认 COVID-19 疫情爆发。现场调查提供了有关人员、时间和地点特征的信息。强化监测活动,如接触者追踪和随访、驾车检测和主动病例搜索,有助于早期发现病例和控制疫情。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937f/7875810/f297b90a89b5/PAMJ-SUPP-35-2-88-g001.jpg

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