A Proposed COVID-19 Testing Algorithm. (24th October 2020)

• Record Type: Journal Article
• Authors: Hart, Alexander; Bortolin, Michelangelo; Awoniyi, Oluwafunbi; Alhajjaj, Fahad; Ciottone, Gregory R.
• Is Part Of: Disaster medicine and public health preparedness. Volume 14:Number 5(2020)
• Page Start: e11
• Page End: e15
• Publication Date: 2020-10-24
• Subjects: communicable diseases, -- epidemiological monitoring, -- pandemics, -- public health, -- policy making; Disaster medicine -- Periodicals; Emergency management -- Planning -- Periodicals; Public health -- Periodicals; 363.34
• DOI: 10.1017/dmp.2020.218
• Languages: English
• ISSNs: 1935-7893

Abstract

ABSTRACT: The 2019 coronavirus disease (COVID-19) pandemic has led to physical distancing measures in numerous countries in an attempt to control the spread. However, these measures are not without cost to the health and economies of the nations in which they are enacted. Nations are now looking for methods to remove physical distancing measures and return to full functioning. To prevent a massive second wave of infections, this must be done with a data-driven methodology. The purpose of this article is to propose an algorithm for COVID-19 testing that would allow for physical distancing to be scaled back in a stepwise manner, which limits ensuing infections and protects the capacity of the health care system.