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National Health Systems and COVID-19 Death Toll Doubling Time
Coronavirus disease 2019 (COVID-19) has placed stress on all National Health Systems (NHSs) worldwide. Recent studies on the disease have evaluated different variables, namely, quarantine models, mitigation efforts, damage to mental health, mortality of the population with chronic diseases, diagnosi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319632/ https://www.ncbi.nlm.nih.gov/pubmed/34336766 http://dx.doi.org/10.3389/fpubh.2021.669038 |
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author | Alfaro, Miguel Muñoz-Godoy, Diego Vargas, Manuel Fuertes, Guillermo Duran, Claudia Ternero, Rodrigo Sabattin, Jorge Gutierrez, Sebastian Karstegl, Natalia |
author_facet | Alfaro, Miguel Muñoz-Godoy, Diego Vargas, Manuel Fuertes, Guillermo Duran, Claudia Ternero, Rodrigo Sabattin, Jorge Gutierrez, Sebastian Karstegl, Natalia |
author_sort | Alfaro, Miguel |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) has placed stress on all National Health Systems (NHSs) worldwide. Recent studies on the disease have evaluated different variables, namely, quarantine models, mitigation efforts, damage to mental health, mortality of the population with chronic diseases, diagnosis, use of masks and social distancing, and mortality based on age. This study focused on the four NHSs recognized by the WHO. These systems are as follows: (1) The Beveridge model, (2) the Bismarck model, (3) the National Health Insurance (NHI) model, and (4) the “Out-of-Pocket” model. The study analyzes the response of the health systems to the pandemic by comparing the time in days required to double the number of disease-related deaths. The statistical analysis was limited to 56 countries representing 70% of the global population. Each country was grouped into the health system defined by the WHO. The study compared the median death toll DT, between health systems using Mood's median test method. The results show high variability of the temporal trends in each group; none of the health systems for the three analyzed periods maintain stable interquartile ranges (IQRs). Nevertheless, the results obtained show similar medians between the study groups. The COVID-19 pandemic saturates health systems regardless of their management structures, and the result measured with the time for doubling death rate variable is similar among the four NHSs. |
format | Online Article Text |
id | pubmed-8319632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83196322021-07-30 National Health Systems and COVID-19 Death Toll Doubling Time Alfaro, Miguel Muñoz-Godoy, Diego Vargas, Manuel Fuertes, Guillermo Duran, Claudia Ternero, Rodrigo Sabattin, Jorge Gutierrez, Sebastian Karstegl, Natalia Front Public Health Public Health Coronavirus disease 2019 (COVID-19) has placed stress on all National Health Systems (NHSs) worldwide. Recent studies on the disease have evaluated different variables, namely, quarantine models, mitigation efforts, damage to mental health, mortality of the population with chronic diseases, diagnosis, use of masks and social distancing, and mortality based on age. This study focused on the four NHSs recognized by the WHO. These systems are as follows: (1) The Beveridge model, (2) the Bismarck model, (3) the National Health Insurance (NHI) model, and (4) the “Out-of-Pocket” model. The study analyzes the response of the health systems to the pandemic by comparing the time in days required to double the number of disease-related deaths. The statistical analysis was limited to 56 countries representing 70% of the global population. Each country was grouped into the health system defined by the WHO. The study compared the median death toll DT, between health systems using Mood's median test method. The results show high variability of the temporal trends in each group; none of the health systems for the three analyzed periods maintain stable interquartile ranges (IQRs). Nevertheless, the results obtained show similar medians between the study groups. The COVID-19 pandemic saturates health systems regardless of their management structures, and the result measured with the time for doubling death rate variable is similar among the four NHSs. Frontiers Media S.A. 2021-07-15 /pmc/articles/PMC8319632/ /pubmed/34336766 http://dx.doi.org/10.3389/fpubh.2021.669038 Text en Copyright © 2021 Alfaro, Muñoz-Godoy, Vargas, Fuertes, Duran, Ternero, Sabattin, Gutierrez and Karstegl. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Alfaro, Miguel Muñoz-Godoy, Diego Vargas, Manuel Fuertes, Guillermo Duran, Claudia Ternero, Rodrigo Sabattin, Jorge Gutierrez, Sebastian Karstegl, Natalia National Health Systems and COVID-19 Death Toll Doubling Time |
title | National Health Systems and COVID-19 Death Toll Doubling Time |
title_full | National Health Systems and COVID-19 Death Toll Doubling Time |
title_fullStr | National Health Systems and COVID-19 Death Toll Doubling Time |
title_full_unstemmed | National Health Systems and COVID-19 Death Toll Doubling Time |
title_short | National Health Systems and COVID-19 Death Toll Doubling Time |
title_sort | national health systems and covid-19 death toll doubling time |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319632/ https://www.ncbi.nlm.nih.gov/pubmed/34336766 http://dx.doi.org/10.3389/fpubh.2021.669038 |
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