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A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment.
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644890/ http://dx.doi.org/10.23889/ijpds.v7i3.1924 |
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author | Enns, Jennifer Katz, Alan Yogendran, Marina Urquia, Marcelo Muthukumarana, Saman Matharaarachchi, Surani Singer, Alexander Nickel, Nathan Star, Leona Cavett, Teresa Keynan, Yoav Lix, Lisa Sanchez-Ramirez, Diana |
author_facet | Enns, Jennifer Katz, Alan Yogendran, Marina Urquia, Marcelo Muthukumarana, Saman Matharaarachchi, Surani Singer, Alexander Nickel, Nathan Star, Leona Cavett, Teresa Keynan, Yoav Lix, Lisa Sanchez-Ramirez, Diana |
author_sort | Enns, Jennifer |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9644890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-96448902022-11-18 A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. Enns, Jennifer Katz, Alan Yogendran, Marina Urquia, Marcelo Muthukumarana, Saman Matharaarachchi, Surani Singer, Alexander Nickel, Nathan Star, Leona Cavett, Teresa Keynan, Yoav Lix, Lisa Sanchez-Ramirez, Diana Int J Popul Data Sci Article Swansea University 2022-08-25 /pmc/articles/PMC9644890/ http://dx.doi.org/10.23889/ijpds.v7i3.1924 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Article Enns, Jennifer Katz, Alan Yogendran, Marina Urquia, Marcelo Muthukumarana, Saman Matharaarachchi, Surani Singer, Alexander Nickel, Nathan Star, Leona Cavett, Teresa Keynan, Yoav Lix, Lisa Sanchez-Ramirez, Diana A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title | A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title_full | A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title_fullStr | A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title_full_unstemmed | A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title_short | A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. |
title_sort | population data-driven approach to identifying ‘long covid’ cases in support of diagnosis and treatment. |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644890/ http://dx.doi.org/10.23889/ijpds.v7i3.1924 |
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