Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response

Frontiers in Public Health

article

Ajay Hegde¹  Ramesh Masthi²  Darshan Krishnappa³ 

[1] Senior Clinical Fellow, Queen Elizabeth University Hospital, United Kingdom;Community Medicine and Public Health, Kempegowda Institute of Medical Sciences;Department of Medicine, University of Minnesota Medical School, United States

关键词: COVID-19;    Pandemic response;    post code map;    digital health;    surveillance;    crowdsource;   

DOI  :  10.3389/fpubh.2020.00286

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

The SARS-CoV-2 pandemic has rapidly saturated healthcare resources across the globe and has led to a restricted screening process, hindering efforts at comprehensive case detection. This has not only facilitated community spread but has also resulted in an underestimation of the true incidence of disease, a statistic which is useful for policy making aimed at controlling the current pandemic and in preparing for future outbreaks. In this perspective, we present a crowdsourced platform developed by us for the true estimation of all SARS-CoV-2 infections in the community, through active self-reporting and layering other authentic datasets. The granularity of data captured by this system could prove to be useful in assisting governments to identify SARS-CoV-2 hotspots in the community facilitating lifting of restrictions in a controlled fashion.

【 授权许可】

CC BY