Cargando…

PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS

Detalles Bibliográficos
Autores principales: NIMITVILAI, S., POOLVIVATCHAIKARN, U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American College of Chest Physicians. Published by Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212305/
http://dx.doi.org/10.1016/j.chest.2021.12.179
_version_ 1784730553135661056
author NIMITVILAI, S.
POOLVIVATCHAIKARN, U.
author_facet NIMITVILAI, S.
POOLVIVATCHAIKARN, U.
author_sort NIMITVILAI, S.
collection PubMed
description
format Online
Article
Text
id pubmed-9212305
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American College of Chest Physicians. Published by Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-92123052022-06-22 PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS NIMITVILAI, S. POOLVIVATCHAIKARN, U. Chest Chest Infections American College of Chest Physicians. Published by Elsevier Inc. 2022-06 2022-06-20 /pmc/articles/PMC9212305/ http://dx.doi.org/10.1016/j.chest.2021.12.179 Text en Copyright © 2021 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Chest Infections
NIMITVILAI, S.
POOLVIVATCHAIKARN, U.
PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title_full PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title_fullStr PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title_full_unstemmed PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title_short PREDICTING COVID-19 SEVERITY USING A SIMPLE PARAMETERS IN RESOURCE-LIMITED SETTINGS
title_sort predicting covid-19 severity using a simple parameters in resource-limited settings
topic Chest Infections
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212305/
http://dx.doi.org/10.1016/j.chest.2021.12.179
work_keys_str_mv AT nimitvilais predictingcovid19severityusingasimpleparametersinresourcelimitedsettings
AT poolvivatchaikarnu predictingcovid19severityusingasimpleparametersinresourcelimitedsettings