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Increased Intensity Of PCR Testing Reduced COVID-19 Transmission Within Countries During The First Pandemic Wave

Ravindra P. Rannan‐Eliya, Nilmini Wijemunige, J. R. N. A. Gunawardana, Sarasi N. Amarasinghe, Ishwari Sivagnanam, Sachini Fonseka, Yasodhara Kapuge, Chathurani Sigera

2020Health Affairs40 citationsDOI

Abstract

Experts agree that reverse transcription-polymerase chain reaction (PCR) testing is critical in controlling coronavirus disease 2019 (COVID-19), but decision makers disagree on how much testing is optimal. Controlling for interventions and ecological factors, we used linear regression to quantify testing's impact on COVID-19's average reproduction number, which represents transmissibility, in 173 countries and territories (which account for 99 percent of the world's COVID-19 cases) during March-June 2020. Among interventions, PCR testing had the greatest influence: a tenfold increase in the ratio of tests to new cases reported reduced the average reproduction number by 9 percent across a range of testing levels. Our results imply that mobility reductions (for example, shelter-in-place orders) were less effective in developing countries than in developed countries. Our results help explain how some nations achieved near-elimination of COVID-19 and the failure of lockdowns to slow COVID-19 in others. Our findings suggest that the testing benchmarks used by the World Health Organization and other entities are insufficient for COVID-19 control. Increased testing and isolation may represent the most effective, least costly alternative in terms of money, economic growth, and human life for controlling COVID-19.

Topics & Concepts

PandemicCoronavirus disease 2019 (COVID-19)Psychological interventionTransmission (telecommunications)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Test strategyDeveloping countryIsolation (microbiology)MedicineEnvironmental healthBiologyEconomicsDiseaseInfectious disease (medical specialty)Economic growthComputer scienceInternal medicineBioinformaticsNursingSoftwareProgramming languageTelecommunicationsCOVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testing