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COVID-19 admissions calculators: General population and paediatric cohort

The world is in the grip of pandemic COVID-19 (SARS-CoV-2). Children appear to be only mildly affected but for those countries that are still preparing for their first wave of infections, it is salutary to have some estimates with which to plan for eventual contingencies. These assessments would inc...

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Autor principal: Victor, Grech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151441/
https://www.ncbi.nlm.nih.gov/pubmed/32311646
http://dx.doi.org/10.1016/j.earlhumdev.2020.105043
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author Victor, Grech
author_facet Victor, Grech
author_sort Victor, Grech
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description The world is in the grip of pandemic COVID-19 (SARS-CoV-2). Children appear to be only mildly affected but for those countries that are still preparing for their first wave of infections, it is salutary to have some estimates with which to plan for eventual contingencies. These assessments would include acute hospital admission requirements, intensive care admissions and deaths per given population. It is also useful to have an estimate of how many paediatric admissions to expect per given population. However it is only very recently that paediatric epidemiological data has become available. This paper will create an interactive spreadsheet model to estimate population and paediatric admissions for a given population, with the author's country, Malta, as a worked example for both.
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spelling pubmed-71514412020-04-13 COVID-19 admissions calculators: General population and paediatric cohort Victor, Grech Early Hum Dev Article The world is in the grip of pandemic COVID-19 (SARS-CoV-2). Children appear to be only mildly affected but for those countries that are still preparing for their first wave of infections, it is salutary to have some estimates with which to plan for eventual contingencies. These assessments would include acute hospital admission requirements, intensive care admissions and deaths per given population. It is also useful to have an estimate of how many paediatric admissions to expect per given population. However it is only very recently that paediatric epidemiological data has become available. This paper will create an interactive spreadsheet model to estimate population and paediatric admissions for a given population, with the author's country, Malta, as a worked example for both. Elsevier B.V. 2020-06 2020-04-10 /pmc/articles/PMC7151441/ /pubmed/32311646 http://dx.doi.org/10.1016/j.earlhumdev.2020.105043 Text en © 2020 Elsevier B.V. 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 Article
Victor, Grech
COVID-19 admissions calculators: General population and paediatric cohort
title COVID-19 admissions calculators: General population and paediatric cohort
title_full COVID-19 admissions calculators: General population and paediatric cohort
title_fullStr COVID-19 admissions calculators: General population and paediatric cohort
title_full_unstemmed COVID-19 admissions calculators: General population and paediatric cohort
title_short COVID-19 admissions calculators: General population and paediatric cohort
title_sort covid-19 admissions calculators: general population and paediatric cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151441/
https://www.ncbi.nlm.nih.gov/pubmed/32311646
http://dx.doi.org/10.1016/j.earlhumdev.2020.105043
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