Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning
Date
2020Author
Leal-Neto, O.B
Santos, F.A.S
Lee, J.Y
Albuquerque, J.O
Souza f, W.V
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Abstract
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.
Palabras clave
Participatory surveillance; Epidemiology; Spatial scanning; COVID-19Link to resource
https://doi.org/10.1016/j.ijmedinf.2020.104263Collections
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