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2020 年社区药店在疑似 COVID-19 病例早期检测中的作用:来自坦桑尼亚达累斯萨拉姆的经验教训。

The role of community pharmacies in early detection of suspected COVID-19 cases in 2020: lessons from Dar es Salaam, Tanzania.

机构信息

Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of.

Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of

出版信息

BMJ Glob Health. 2023 Feb;8(2). doi: 10.1136/bmjgh-2022-009928.

DOI:10.1136/bmjgh-2022-009928
PMID:36804730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9943696/
Abstract

Tanzania reported its first COVID-19 case on 16 March 2020. We conducted event-based surveillance of COVID-19 suspect cases among pharmacy clients presenting with respiratory symptoms and influenza-like illness to increase early and rapid detection of COVID-19 cases and mitigate transmission. We conveniently sampled 103 pharmacies from Dar es Salaam, the epicentre for the COVID-19 pandemic in Tanzania at the time. Between 23 April 2020 and 18 May 2020, 67% of the pharmacies (69/103) reported an observed increase in the number of clients presenting with respiratory symptoms and influenza-like illness compared with the 1 month before the COVID-19 outbreak. In the 1-month surveillance period, the participating pharmacies recorded 75 alerts of COVID-19 suspect cases and referred all suspected COVID-19 cases to rapid response teams for additional symptomatic screening and SARS-CoV-2 testing. A key implementation challenge was that some clients identified as COVID-19 suspected cases were hesitant to provide follow-up information for linkage to rapid response teams. Addressing concerns among drug dispensers in the participating pharmacies and informing them of the benefits of the surveillance activity were important implementation components. Our approach demonstrates the overall feasibility of rapidly implementing an event-based surveillance system for an emerging health threat through an existing network of pharmacies within the community. The approach and tools used in this surveillance activity could be adapted in similar settings to detect and generate alerts of disease outbreaks in the community that other surveillance systems may otherwise miss.

摘要

坦桑尼亚于 2020 年 3 月 16 日报告了首例 COVID-19 病例。我们对出现呼吸道症状和流感样疾病的药房客户中的 COVID-19 疑似病例进行了基于事件的监测,以提高 COVID-19 病例的早期和快速检测能力,并减轻传播风险。我们方便地从达累斯萨拉姆(当时坦桑尼亚 COVID-19 大流行的中心)抽取了 103 家药房进行采样。在 2020 年 4 月 23 日至 5 月 18 日期间,与 COVID-19 爆发前一个月相比,67%的药房(69/103)报告称,出现呼吸道症状和流感样疾病的客户数量有所增加。在一个月的监测期间,参与的药房记录了 75 例 COVID-19 疑似病例的警报,并将所有疑似 COVID-19 病例转交给快速反应小组进行额外的症状筛查和 SARS-CoV-2 检测。一个关键的实施挑战是,一些被确定为 COVID-19 疑似病例的客户不愿提供后续信息以与快速反应小组联系。解决参与药房药剂师的担忧,并告知他们监测活动的好处,是重要的实施组成部分。我们的方法证明了通过社区内现有的药房网络快速实施针对新出现的健康威胁的基于事件的监测系统的总体可行性。这种监测活动中使用的方法和工具可以在类似的环境中进行调整,以检测和发出社区中疾病爆发的警报,而其他监测系统可能会错过这些警报。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/b5dea8a36020/bmjgh-2022-009928f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/b32d9261afc9/bmjgh-2022-009928f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/d5d396d1516e/bmjgh-2022-009928f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/a9e5d728859c/bmjgh-2022-009928f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/b5dea8a36020/bmjgh-2022-009928f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/b32d9261afc9/bmjgh-2022-009928f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/d5d396d1516e/bmjgh-2022-009928f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/a9e5d728859c/bmjgh-2022-009928f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4f/9943696/b5dea8a36020/bmjgh-2022-009928f04.jpg

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