Poolkeh Finds the Optimal Pooling Strategy for a Population-wide COVID-19 Testing (Israel, UK, and US as Test Cases)
| Autor: | Yossi Eliaz, Gregory P. Gasic, Mark Danovich |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
education.field_of_study Actuarial science Coronavirus disease 2019 (COVID-19) 030303 biophysics Pooling Population World population 3. Good health Test (assessment) 03 medical and health sciences Test case Order (exchange) Pandemic Business education health care economics and organizations 030304 developmental biology |
| DOI: | 10.1101/2020.04.25.20079343 |
| Popis: | The SARS-CoV-2 pandemic has changed the lifestyle of citizens of the world. In order for decision makers to manage the viral spread of COVID-19 both in the intra-national and the international frontiers, it is essential to operate based on data-driven assessments. It’s crucial to do so rapidly and frequently, since the nature of the viral spread grows exponentially and can burst worldwide again. A fast and accurate health status of individuals globally during a pandemic can save many lives and bring life back to a new normal. Herein, we present a data-driven tool to allow decision-makers to assess the spread of the virus among the world population. Our framework allows health agencies to maximize the throughput of COVID-19 tests among the world population by finding the best test pooling that fits the current SIR-D [1] status of the nation. |
| Databáze: | OpenAIRE |
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