Proposal of a population wide genome-based testing for Covid-19
- Our lives (and deaths) have by now been dominated for two years by COVID-19, a pandemic that has caused hundreds of millions of disease cases, millions of deaths, trillions in economic costs, and major restrictions on our freedom. Here we suggest a novel tool for controlling the COVID-19 pandemic. The key element is a method for a population-scale PCR-based testing, applied on a systematic and repeated basis. For this we have developed a low cost, highly sensitive virus-genome-based test. Using Germany as an example, we demonstrate by using a mathematical model, how useful this strategy could have been in controlling the pandemic. We show using real-world examples how this might be implemented on a mass scale and discuss the feasibility of this approach.
Author: | Hans LehrachORCiDGND, Jon CurtisORCiD, Bodo Lange, Lesley A. OgilvieORCiDGND, Richard GaussGND, Christoph SteiningerORCiDGND, Erhard ScholzORCiDGND, Matthias KreckGND |
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URN: | urn:nbn:de:hebis:30:3-736206 |
DOI: | https://doi.org/10.1038/s41598-022-08934-2 |
ISSN: | 2045-2322 |
Parent Title (English): | Scientific Reports |
Publisher: | Macmillan Publishers Limited, part of Springer Nature |
Place of publication: | London |
Document Type: | Preprint |
Language: | English |
Date of Publication (online): | 2022/04/04 |
Date of first Publication: | 2022/04/04 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2023/08/02 |
Volume: | 12 |
Issue: | 5618 |
Page Number: | 8 |
HeBIS-PPN: | 51064600X |
Institutes: | Medizin |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - Namensnennung 4.0 |