Objectives

This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance.

Design

It was carried out a descriptive transversal study in the city of Caruaru, Pernambuco state, Brazil, within the period of 20/02/2020 to 05/05/2020. Data included all official reports for influenza-like illness notified by the municipality health department and the self-reports collected through the participatory surveillance platform Brasil Sem Corona.

Methods

We used linear regression and loess regression to verify a correlation between Participatory Surveillance (PS) and Traditional Surveillance (TS). Also a spatial scanning approach was deployed in order to identify risk clusters for COVID-19.

Results

In Caruaru, the PS had 861 active users, presenting an average of 1.2 reports per user per week. The platform Brasil Sem Corona started on March 20th and since then, has been officially used by the Caruaru health authority to improve the quality of information from the traditional surveillance system. Regarding the respiratory syndrome cases from TS, 1588 individuals were positive for this clinical outcome. The spatial scanning analysis detected 18 clusters and 6 of them presented statistical significance (p-value < 0.1). Clusters 3 and 4 presented an overlapping area that was chosen by the local authority to deploy the COVID-19 serology, where 50 individuals were tested. From there, 32 % (n = 16) presented reagent results for antibodies related to COVID-19.

Conclusion

Participatory surveillance is an effective epidemiological method to complement the traditional surveillance system in response to the COVID-19 pandemic by adding real-time spatial data to detect priority areas for COVID-19 testing.

中文翻译：

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根据参与性监视和空间扫描对COVID-19测试进行优先级排序。

目标

这项研究旨在确定，描述和分析结合参与性监测和传统监测的COVID-19测试的优先领域。

设计

在20/02/2020至05/05/2020期间，在巴西伯南布哥州卡鲁阿鲁市进行了描述性横向研究。数据包括市政卫生部门通报的所有关于流感样疾病的官方报告，以及通过参与式监测平台Brasil Sem Corona收集的自我报告。

方法

我们使用线性回归和黄土回归来验证参与性监测（PS）和传统监测（TS）之间的相关性。还部署了空间扫描方法，以识别COVID-19的风险群。

结果

在卡鲁阿鲁，PS拥有861位活跃用户，每位用户每周平均提交1.2份报告。Brasil Sem Corona平台于3月20日启动，此后，卡鲁阿鲁卫生当局已正式使用该平台来改善传统监视系统的信息质量。对于来自TS的呼吸综合征病例，有1588人对该临床结果呈阳性反应。空间扫描分析检测到18个簇，其中6个簇具有统计学意义（p值<0.1）。第3组和第4组呈现出一个重叠的区域，由地方当局选择以部署COVID-19血清学，其中测试了50个人。从那里开始，有32％（n = 16）的试剂结果与COVID-19相关。

结论

参与式监视是一种有效的流行病学方法，可通过添加实时空间数据来检测COVID-19测试的优先区域，来对付COVID-19大流行的传统监视系统。