Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics

Detection and isolation of infected people are believed to play an important role in the control of the COVID-19 pandemic. Some countries conduct large-scale screenings for testing, whereas others test mainly people with high prior probability of infection such as showing severe symptoms and/or havi...

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Main Authors: Yuki Furuse, Yura K. Ko, Kota Ninomiya, Motoi Suzuki, Hitoshi Oshitani
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/18/9/4655
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spelling doaj-407608421e0545efb4e0feb5e4691b062021-04-27T23:06:10ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-04-01184655465510.3390/ijerph18094655Relationship of Test Positivity Rates with COVID-19 Epidemic DynamicsYuki Furuse0Yura K. Ko1Kota Ninomiya2Motoi Suzuki3Hitoshi Oshitani4Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto 606-8501, JapanDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, JapanNational Institute of Infectious Diseases, Tokyo 208-0011, JapanNational Institute of Infectious Diseases, Tokyo 208-0011, JapanDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai 980-8575, JapanDetection and isolation of infected people are believed to play an important role in the control of the COVID-19 pandemic. Some countries conduct large-scale screenings for testing, whereas others test mainly people with high prior probability of infection such as showing severe symptoms and/or having an epidemiological link with a known or suspected case or cluster of cases. However, what a good testing strategy is and whether the difference in testing strategy shows a meaningful, measurable impact on the COVID-19 epidemic remain unknown. Here, we showed that patterns of association between effective reproduction number (Rt) and test positivity rate can illuminate differences in testing situation among different areas, using global and local data from Japan. This association can also evaluate the adequacy of current testing systems and what information is captured in COVID-19 surveillance. The differences in testing systems alone cannot predict the results of epidemic containment efforts. Furthermore, monitoring test positivity rates and severe case proportions among the nonelderly can predict imminent case count increases. Monitoring test positivity rates in conjunction with the concurrent Rt could be useful to assess and strengthen public health management and testing systems and deepen understanding of COVID-19 epidemic dynamics.https://www.mdpi.com/1660-4601/18/9/4655COVID-19SARS-CoV-2surveillanceeffective reproduction numberlaboratory diagnosisepidemics
collection DOAJ
language English
format Article
sources DOAJ
author Yuki Furuse
Yura K. Ko
Kota Ninomiya
Motoi Suzuki
Hitoshi Oshitani
spellingShingle Yuki Furuse
Yura K. Ko
Kota Ninomiya
Motoi Suzuki
Hitoshi Oshitani
Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
International Journal of Environmental Research and Public Health
COVID-19
SARS-CoV-2
surveillance
effective reproduction number
laboratory diagnosis
epidemics
author_facet Yuki Furuse
Yura K. Ko
Kota Ninomiya
Motoi Suzuki
Hitoshi Oshitani
author_sort Yuki Furuse
title Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
title_short Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
title_full Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
title_fullStr Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
title_full_unstemmed Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
title_sort relationship of test positivity rates with covid-19 epidemic dynamics
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2021-04-01
description Detection and isolation of infected people are believed to play an important role in the control of the COVID-19 pandemic. Some countries conduct large-scale screenings for testing, whereas others test mainly people with high prior probability of infection such as showing severe symptoms and/or having an epidemiological link with a known or suspected case or cluster of cases. However, what a good testing strategy is and whether the difference in testing strategy shows a meaningful, measurable impact on the COVID-19 epidemic remain unknown. Here, we showed that patterns of association between effective reproduction number (Rt) and test positivity rate can illuminate differences in testing situation among different areas, using global and local data from Japan. This association can also evaluate the adequacy of current testing systems and what information is captured in COVID-19 surveillance. The differences in testing systems alone cannot predict the results of epidemic containment efforts. Furthermore, monitoring test positivity rates and severe case proportions among the nonelderly can predict imminent case count increases. Monitoring test positivity rates in conjunction with the concurrent Rt could be useful to assess and strengthen public health management and testing systems and deepen understanding of COVID-19 epidemic dynamics.
topic COVID-19
SARS-CoV-2
surveillance
effective reproduction number
laboratory diagnosis
epidemics
url https://www.mdpi.com/1660-4601/18/9/4655
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