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A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States
2021
Scientific Reports
AbstractCoronavirus SARS-COV-2 infections continue to spread across the world, yet effective large-scale disease detection and prediction remain limited. COVID Control: A Johns Hopkins University Study, is a novel syndromic surveillance approach, which collects body temperature and COVID-like illness (CLI) symptoms across the US using a smartphone app and applies spatio-temporal clustering techniques and cross-correlation analysis to create maps of abnormal symptomatology incidence that are
doi:10.1038/s41598-021-84145-5
pmid:33633250
pmcid:PMC7907397
fatcat:ru7gvkbuqbcglohqu7gjr5layu