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Viruses ; 14(2)2022 01 20.
Article in English | MEDLINE | ID: covidwho-1651035

ABSTRACT

BACKGROUND: Previous studies examining the early spread of COVID-19 have used influenza-like illnesses (ILIs) to determine the early spread of COVID-19. We used COVID-19 case definition to identify COVID-like symptoms (CLS) independently of other influenza-like illnesses (ILIs). METHODS: Using data from Emergency Department (ED) visits at VA Medical Centers in CA, TX, and FL, we compared weekly rates of CLS, ILIs, and non-influenza ILIs encounters during five consecutive flu seasons (2015-2020) and estimated the risk of developing each illness during the first 23 weeks of the 2019-2020 season compared to previous seasons. RESULTS: Patients with CLS were significantly more likely to visit the ED during the first 23 weeks of the 2019-2020 compared to prior seasons, while ED visits for influenza and non-influenza ILIs did not differ substantially. Adjusted CLS risk was significantly lower for all seasons relative to the 2019-2020 season: RR15-16 = 0.72, 0.75, 0.72; RR16-17 = 0.81, 0.77, 0.79; RR17-18 = 0.80, 0.89, 0.83; RR18-19 = 0.82, 0.96, 0.81, in CA, TX, and FL, respectively. CONCLUSIONS: The observed increase in ED visits for CLS indicates the likely spread of COVID-19 in the US earlier than previously reported. VA data could potentially help identify emerging infectious diseases and supplement existing syndromic surveillance systems.


Subject(s)
COVID-19/transmission , Databases, Factual/statistics & numerical data , Influenza, Human/epidemiology , Sentinel Surveillance , Veterans/statistics & numerical data , COVID-19/epidemiology , Disease Outbreaks , Emergency Service, Hospital/statistics & numerical data , Humans , Longitudinal Studies , Retrospective Studies , United States/epidemiology
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