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.
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【저자키워드】 public health, communicable diseases, Pandemics, epidemiological monitoring, policy making, 【초록키워드】 COVID-19, pandemic, Infection, Spread, Health, COVID-19 testing, infections, Algorithm, 2019 coronavirus disease, second wave, physical distancing, methodology, Care, nation, measure, country, data-driven, Prevent, limit, PROTECT, physical distancing measure, scaled, 【제목키워드】 COVID-19, Testing,
【저자키워드】 public health, communicable diseases, Pandemics, epidemiological monitoring, policy making, 【초록키워드】 COVID-19, pandemic, Infection, Spread, Health, COVID-19 testing, infections, Algorithm, 2019 coronavirus disease, second wave, physical distancing, methodology, Care, nation, measure, country, data-driven, Prevent, limit, PROTECT, physical distancing measure, scaled, 【제목키워드】 COVID-19, Testing,
2019년 코로나바이러스 질병(COVID-19) 대유행으로 인해 여러 국가에서 확산을 통제하기 위한 물리적 거리두기 조치가 취해졌습니다. 그러나 이러한 조치가 시행되는 국가의 건강과 경제에 비용을 들이지 않는 것은 아닙니다. 국가들은 이제 물리적 거리두기 조치를 제거하고 완전한 기능을 회복할 방법을 찾고 있습니다. 대규모 2차 감염을 방지하려면 데이터 기반 방법론으로 이를 수행해야 합니다. 이 문서의 목적은 후속 감염을 제한하고 의료 시스템의 용량을 보호하는 물리적 거리두기를 단계적으로 축소할 수 있는 COVID-19 테스트 알고리즘을 제안하는 것입니다.