Covid 19 fatality and mortality in 60 affected countries and their impact on demographic, economic and health aspects

Zevallos, Javier Cieza; Lescano, Celene Uriol

doi:10.20453/rmh.v31i4.3852

Cited by 6 publications

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“…Proof of this is the high number of cases and deaths during the pandemic [ 33 , 39 ]. Some demographic aspects may have had a significant influence on the number of deaths worldwide [ 40 , 41 ] and in South American countries [ 42 , 43 , 44 ]. Among the variables considered, are population density [ 45 , 46 ] as well as life expectancy or the proportion of the population in vulnerable employment.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

Cifuentes‐Faura

2021

IJERPH

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The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.

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Section: Introductionmentioning

confidence: 99%

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

Cifuentes‐Faura

2021

IJERPH

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“…Esta pandemia ha evidenciado que pese al conocimiento previo que se tenía sobre políticas de salud pública, el modelo brindado por el COVID-19 no solo es único sino también cambiante. Gráfico 3: Letalidad (IC95%) en función de los casos confirmados en los 72 países seleccionados En un estudio que publicamos con anterioridad [23] se evalúo la letalidad y mortalidad en 60 países en los primeros 90 días de la pandemia. Este artículo nos ayuda a afinar nuestras conclusiones.…”

Section: Discussionunclassified

Curso de la mortalidad durante la pandemia por COVID-19 en los primeros 120 días de acuerdo a indicadores relevantes de 72 países afectados

Zevallos

Guzman

2022

Acta Med Peru

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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.

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“…It is worth mentioning that, during the first months, the burden of the pandemic was mainly focused on high and middle-income countries in Asia, Europe and North America (Chisadza et al 2021) as they were most connected to China (Jeanne et al 2023). In other words, countries with better conditions suffer a greater impact from the virus (Zevallos, Lescano 2020). Although the pandemic quickly reached countries with a high economic level, the consequences were more severe for less developed countries.…”

Section: Literature Reviewmentioning

confidence: 99%

The influence of underlying conditions of countries on the COVID-19 lethality rate

Guevara Rosero,

Illescas Navarrete

2024

REGION

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The management of the COVID-19 pandemic not only depends on the stringency measures established by governments but also and more importantly on the underlying capacity of territories in economic and health and sanitary infrastructure. This study aims to identify how the underlying conditions of countries influence on their level of COVID-19 lethality rate. To do so, a classification of countries is first conducted by the means of the k-means partitioning method, using COVID-19-related variables such as the lethality rate, the contagion growth rate and the number of days with respect to China. Based on the resulting groups of countries of the first stage, Tobit and Ordinary Least Squares regressions are estimated to determine the effect of the underlying characteristics of countries on their COVID-19 lethality rate. Risks factors which increase the lethality rate in countries are the contagion growth rate, the trade flow with China, the age composition of the population and, to a lesser extent, the population density. Factors that help to reduce the lethality rate are the government effectiveness, the health infrastructure (hospital beds) and, to a lesser extent, the economic growth rate.

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Covid 19 fatality and mortality in 60 affected countries and their impact on demographic, economic and health aspects

Cited by 6 publications

References 0 publications

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

Curso de la mortalidad durante la pandemia por COVID-19 en los primeros 120 días de acuerdo a indicadores relevantes de 72 países afectados

The influence of underlying conditions of countries on the COVID-19 lethality rate

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