Evaluation of COVID-19 RT-qPCR test in multi-sample pools
Idan Yelin,Noga Aharony,Einat Shaer Tamar,Amir Argoetti,Esther Messer,Dina Berenbaum,Einat Shafran,Areen Kuzli,Nagham Gandali,Tamar Hashimshony,Yael Mandel-Gutfreund,Michael Halberthal,Michael Halberthal,Yuval Geffen,Moran Szwarcwort-Cohen,Roy Kishony +15 more
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TLDR
Testing a pooling approach for the standard RT-qPCR test, it is found that a single positive sample can be detected even in pools of up to 32 samples, with an estimated false negative rate of 10%.Abstract:
The recent emergence of SARS-CoV-2 lead to a current pandemic of unprecedented levels. Though diagnostic tests are fundamental to the ability to detect and respond, many health systems are already experiencing shortages of reagents associated with this test. Here, testing a pooling approach for the standard RT-qPCR test, we find that a single positive sample can be detected even in pools of up to 32 samples, with an estimated false negative rate of 10%. Detection of positive samples diluted in even up to 64 samples may also be attainable, though may require additional amplification cycles. As it uses the standard protocols, reagents and equipment, this pooling method can be applied immediately in current clinical testing laboratories. We hope that such implementation of a pool test for COVID-19 would allow expanding current screening capacities thereby enabling the expansion of detection in the community, as well as in close integral groups, such as hospital departments, army units, or factory shifts.read more
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Antibody tests for identification of current and past infection with SARS‐CoV‐2
Jonathan J Deeks,Jonathan J Deeks,Jacqueline Dinnes,Jacqueline Dinnes,Yemisi Takwoingi,Yemisi Takwoingi,Clare Davenport,Clare Davenport,René Spijker,René Spijker,Sian Taylor-Phillips,Sian Taylor-Phillips,Ada Adriano,Sophie Beese,Janine Dretzke,Lavinia Ferrante di Ruffano,Isobel Marion Harris,Malcolm J Price,Malcolm J Price,Sabine Dittrich,Devy Emperador,Lotty Hooft,Mariska M.G. Leeflang,Ann Van den Bruel +23 more
TL;DR: To assess the diagnostic accuracy of antibody tests to determine if a person presenting in the community or in primary or secondary care has SARS-CoV-2 infection, or has previously had SARS, and the accuracy of antibodies for use in seroprevalence surveys is assessed.
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Prediction model and risk scores of ICU admission and mortality in COVID-19.
Zirun Zhao,Anne Chen,Wei Hou,James M. Graham,Haifang Li,Paul Richman,Henry C. Thode,Adam J. Singer,Timothy Q. Duong +8 more
TL;DR: A risk score system based on clinical characteristics at presentation to predict intensive care unit (ICU) admission and mortality in COVID-19 patients may prove useful for frontline physicians in clinical decision-making under time-sensitive and resource-constrained environment.
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COVID-19 open source data sets: a comprehensive survey
TL;DR: This survey is motivated by the open source efforts that can be mainly categorized as (a) COVID-19 diagnosis from CT scans, X-ray images, and cough sounds, (b) CO VID-19 case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, (c) COvid-19 emotional and sentiment analysis from social media, and (d) knowledge-based discovery and semantic analysis from the collection of scholarly articles covering COVID.
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Efficient high-throughput SARS-CoV-2 testing to detect asymptomatic carriers.
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TL;DR: P-BEST is developed, a method for Pooling-Based Efficient SARS-CoV-2 Testing, which identifies all positive subjects within a set of samples using a single round of testing, providing both an eightfold increase in testing efficiency and a eightfold reduction in test costs.
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Continuous on-body sensing for the COVID-19 pandemic: Gaps and opportunities.
TL;DR: There is a continuing gap between widespread population level testing and the availability of tests, likely to persist for the foreseeable future, and the development of complementary technologies for diagnosing and monitoring COVID-19 infections is motivated.
References
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Journal ArticleDOI
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Steve M. Taylor,Steve M. Taylor,Jonathan J. Juliano,Paul A. Trottman,Jennifer B. Griffin,Sarah H. Landis,Paluku Kitsa,Antoinette K. Tshefu,Steven R. Meshnick +8 more
TL;DR: This study describes the application of a resource-conserving testing algorithm employing sample pooling for real-time PCR assays for malaria in a cohort of 182 pregnant women in Kinshasa and highlights both substantial discordance between malaria diagnostics and the utility and parsimony of employing a sample Pooling strategy for molecular diagnostics in clinical and epidemiologic malaria studies.
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Screening for the Presence of a Disease by Pooling Sera Samples
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