Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries
Descripción del Articulo
Introduction: In late December 2019, China reported a group of pneumonia cases of unknown cause identified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pandemic generated by the SARS 2 virus, recognized by the WHO as COVID-19, is a relevant health phenomenon for all humanity....
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Colegio Médico del Perú |
Repositorio: | Acta Médica Peruana |
Lenguaje: | español |
OAI Identifier: | oai:amp.cmp.org.pe:article/2266 |
Enlace del recurso: | https://amp.cmp.org.pe/index.php/AMP/article/view/2266 |
Nivel de acceso: | acceso abierto |
Materia: | Infecciones por Coronavirus Epidemiología Factores de Riesgo Mortalidad Pandemias Coronavirus Infections Epidemiology Risk Factors Mortality Pandemics |
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Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countriesCurso de la mortalidad durante la pandemia por COVID-19 en los primeros 120 días de acuerdo a indicadores relevantes de 72 países afectadosCieza Zevallos, JavierGuzmán Dueñas , Carolina del Rosario Cieza Zevallos, JavierGuzmán Dueñas , Carolina del Rosario Infecciones por CoronavirusEpidemiologíaFactores de RiesgoMortalidadPandemiasCoronavirus InfectionsEpidemiologyRisk FactorsMortalityPandemicsIntroduction: In late December 2019, China reported a group of pneumonia cases of unknown cause identified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pandemic generated by the SARS 2 virus, recognized by the WHO as COVID-19, is a relevant health phenomenon for all humanity. The objective is to analyze the course of mortality from the pandemic based on the most relevant characteristics of the countries with varying degrees of involvement 120 days after detecting their first case. Methodology: It is a longitudinal study of case series. The cases are affected countries in different magnitudes and followed daily from their first reported case until the day they had 120 days of evolution, considering the 1st day of observation is January 22, 2020. Results: Among the variables that show greatest effect size related to mortality are: Transmissible diseases, Poverty, TB Mortality and mortality related to non-transmissible diseases. By the day 120 the variables that maintain association are: Percentage of urban population, Men’s proportion, Obesity rate and percentage of Diabetic people. Conclusion: This pandemic invites us to focus on aspects related to the pathophysiology of the disease, especially those related to the behavior of the structure of man as a unit; but also to concepts about the distribution of wealth, the enormous economic imbalances.Introducción: A fines de diciembre de 2019 China informó un grupo de casos de neumonía de causa desconocida identificada como del síndrome respiratorio agudo severo coronavirus 2 (SARS-CoV-2). La Pandemia generada por el virus SARS 2 reconocida por la OMS como COVID-19, es un fenómeno sanitario relevante para toda la humanidad en los últimos siglos. El objetivo es analizar el curso de la mortalidad de la pandemia en función de las características más relevantes de los países con diversos grados de afectación a los 120 días de haber detectado su primer caso. Metodología: Es un estudio longitudinal de series de casos. Los casos son países afectados en diferentes magnitudes y seguidos diariamente desde su primer caso declarado hasta el día que tuvieron 120 días de evolución considerando el día 1 de inicio de observación es el 22 de enero del 2020. Resultados: Dentro de las variables que muestran mayor tamaño de efecto con la Mortalidad son: enfermedades transmisibles, Pobreza, Mortalidad por TBC y Mortalidad por enfermedades no transmisibles. Al día 120 las variables que mantienen asociación son el porcentaje de Población urbana de los países, la Proporción de hombres, Obesidad en adultos y porcentaje de Diabéticos adultos. Conclusión: Esta pandemia invita a repensar sobre aspectos relacionados a la fisiopatología de la enfermedad, sobre todo las relativas al comportamiento de la estructura del hombre como una unidad; sino también a conceptos sobre la distribución de la riqueza, los enormes desequilibrios económicos.Colegio Médico del Perú2022-02-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://amp.cmp.org.pe/index.php/AMP/article/view/226610.35663/amp.2021.384.2266ACTA MEDICA PERUANA; Vol. 38 No. 4 (2021): October - DecemberACTA MEDICA PERUANA; Vol. 38 Núm. 4 (2021): Octubre - Diciembre1728-59171018-8800reponame:Acta Médica Peruanainstname:Colegio Médico del Perúinstacron:CMPspahttps://amp.cmp.org.pe/index.php/AMP/article/view/2266/1419Copyright (c) 2022 ACTA MEDICA PERUANAinfo:eu-repo/semantics/openAccessoai:amp.cmp.org.pe:article/22662023-07-06T05:49:44Z |
dc.title.none.fl_str_mv |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries Curso de la mortalidad durante la pandemia por COVID-19 en los primeros 120 días de acuerdo a indicadores relevantes de 72 países afectados |
title |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
spellingShingle |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries Cieza Zevallos, Javier Infecciones por Coronavirus Epidemiología Factores de Riesgo Mortalidad Pandemias Coronavirus Infections Epidemiology Risk Factors Mortality Pandemics |
title_short |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
title_full |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
title_fullStr |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
title_full_unstemmed |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
title_sort |
Evolution of mortality during covid-19 pandemic in the first 120 days according to relevant indicators in 72 affected countries |
dc.creator.none.fl_str_mv |
Cieza Zevallos, Javier Guzmán Dueñas , Carolina del Rosario Cieza Zevallos, Javier Guzmán Dueñas , Carolina del Rosario |
author |
Cieza Zevallos, Javier |
author_facet |
Cieza Zevallos, Javier Guzmán Dueñas , Carolina del Rosario |
author_role |
author |
author2 |
Guzmán Dueñas , Carolina del Rosario |
author2_role |
author |
dc.subject.none.fl_str_mv |
Infecciones por Coronavirus Epidemiología Factores de Riesgo Mortalidad Pandemias Coronavirus Infections Epidemiology Risk Factors Mortality Pandemics |
topic |
Infecciones por Coronavirus Epidemiología Factores de Riesgo Mortalidad Pandemias Coronavirus Infections Epidemiology Risk Factors Mortality Pandemics |
description |
Introduction: In late December 2019, China reported a group of pneumonia cases of unknown cause identified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pandemic generated by the SARS 2 virus, recognized by the WHO as COVID-19, is a relevant health phenomenon for all humanity. The objective is to analyze the course of mortality from the pandemic based on the most relevant characteristics of the countries with varying degrees of involvement 120 days after detecting their first case. Methodology: It is a longitudinal study of case series. The cases are affected countries in different magnitudes and followed daily from their first reported case until the day they had 120 days of evolution, considering the 1st day of observation is January 22, 2020. Results: Among the variables that show greatest effect size related to mortality are: Transmissible diseases, Poverty, TB Mortality and mortality related to non-transmissible diseases. By the day 120 the variables that maintain association are: Percentage of urban population, Men’s proportion, Obesity rate and percentage of Diabetic people. Conclusion: This pandemic invites us to focus on aspects related to the pathophysiology of the disease, especially those related to the behavior of the structure of man as a unit; but also to concepts about the distribution of wealth, the enormous economic imbalances. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://amp.cmp.org.pe/index.php/AMP/article/view/2266 10.35663/amp.2021.384.2266 |
url |
https://amp.cmp.org.pe/index.php/AMP/article/view/2266 |
identifier_str_mv |
10.35663/amp.2021.384.2266 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://amp.cmp.org.pe/index.php/AMP/article/view/2266/1419 |
dc.rights.none.fl_str_mv |
Copyright (c) 2022 ACTA MEDICA PERUANA info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 ACTA MEDICA PERUANA |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Colegio Médico del Perú |
publisher.none.fl_str_mv |
Colegio Médico del Perú |
dc.source.none.fl_str_mv |
ACTA MEDICA PERUANA; Vol. 38 No. 4 (2021): October - December ACTA MEDICA PERUANA; Vol. 38 Núm. 4 (2021): Octubre - Diciembre 1728-5917 1018-8800 reponame:Acta Médica Peruana instname:Colegio Médico del Perú instacron:CMP |
instname_str |
Colegio Médico del Perú |
instacron_str |
CMP |
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CMP |
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Acta Médica Peruana |
collection |
Acta Médica Peruana |
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12.660197 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).