Academic Journal
The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France
| Title: | The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France |
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| Authors: | Dimeglio, Chloé, Loubes, Jean-Michel, Deporte, Benjamin, Dubois, Martine, Latour, Justine, Mansuy, Jean-Michel, Izopet, Jacques |
| Contributors: | PINIER, CHRISTINE, Centre de Physiopathologie Toulouse Purpan (CPTP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Virologie CHU Toulouse, Institut Fédératif de Biologie (IFB), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Pôle Biologie CHU Toulouse, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Institut de Mathématiques de Toulouse UMR5219 (IMT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS) |
| Source: | J Infect Journal of Infection |
| Publisher Information: | Elsevier BV, 2020. |
| Publication Year: | 2020 |
| Subject Terms: | Microbiology (medical), 0301 basic medicine, MESH: Pneumonia, Viral / epidemiology, deconfinement, Viral / transmission, Pneumonia, Viral, Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Seroepidemiologic Studies, MESH: Models, MESH: COVID-19, Humans, Viral / prevention & control, MESH: SARS-CoV-2, Letter to the Editor, Pandemics, MESH: Pandemics / statistics & numerical data, MESH: France / epidemiology, Infection Control, MESH: Humans, MESH: Seroepidemiologic Studies, Models, Statistical, MESH: Coronavirus Infections / prevention & control, seroprevalence, MESH: Pandemics / prevention & control, SARS-CoV-2, statistical model, COVID-19, MESH: Infection Control* / methods, Statistical, 3. Good health, Infectious Diseases, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, MESH: Betacoronavirus, MESH: Coronavirus Infections / epidemiology, France, Coronavirus Infections, MESH: Coronavirus Infections / transmission |
| Description: | A new virus, SARS-CoV-2, has spread world-wide since December 2019, probably affecting millions of people and killing thousands. Failure to anticipate the spread of the virus now seriously threatens many health systems. We have designed a model for predicting the evolution of the SARS-CoV-2 epidemic in France, which is based on seroprevalence and makes it possible to anticipate the deconfinement strategy. |
| Document Type: | Article Other literature type |
| Language: | English |
| ISSN: | 0163-4453 |
| DOI: | 10.1016/j.jinf.2020.04.031 |
| Access URL: | http://www.journalofinfection.com/article/S0163445320302425/pdf https://pubmed.ncbi.nlm.nih.gov/32360497 |
| Rights: | Elsevier TDM |
| Accession Number: | edsair.doi.dedup.....a543f92d53e2f3268e0ea4ae22354d30 |
| Database: | OpenAIRE |
| ISSN: | 01634453 |
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| DOI: | 10.1016/j.jinf.2020.04.031 |