Tracking COVID-19 infections: time for change.

Dean, Natalie

Dean, Natalie.

Nature ; 602(7896): 185, 2022 02.

Article in English | MEDLINE | ID: covidwho-1683964

Subject(s)

COVID-19 Testing/methods; COVID-19/diagnosis; COVID-19/epidemiology; Forecasting; Patient Selection; Policy Making; Public Health/methods; COVID-19/genetics; COVID-19/transmission; COVID-19 Testing/economics; COVID-19 Testing/statistics & numerical data; Centers for Disease Control and Prevention, U.S.; Endemic Diseases/statistics & numerical data; Health Policy; Humans; Random Allocation; Time Factors; United States; Wastewater-Based Epidemiological Monitoring

Keywords

Epidemiology; Health care; Research management; SARS-CoV-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Policy Making / Public Health / Patient Selection / Forecasting / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Nature Year: 2022 Document Type: Article

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