tetano
Editor, Senior Moderator
Isr Med Assoc J
. 2021 Jun;23(6):336-340.
The Effect of Population Age and Climate on COVID-19 Morbidity and Mortality
Ariel Zilberlicht[SUP] 1 2 [/SUP], Dan Abramov[SUP] 3 [/SUP], Nir Kugelman[SUP] 1 2 [/SUP], Ofer Lavie[SUP] 1 2 [/SUP], Yossef Elias[SUP] 4 [/SUP], Yoram Abramov[SUP] 1 2 [/SUP]
Affiliations
Abstract
Background: The novel coronavirus disease 2019 (COVID-19) is an infectious disease that presents an urgent challenge to global health and economy.
Objectives: To assess the effects of population median age and mean ambient temperature on the COVID-19 global pandemic burden.
Methods: We used databases from open access public domains to record population median age, mean ambient temperature, and the numbers of COVID-19 cases and deaths on days 14 and 28 from the pandemic outbreak for each country in the world. We then calculated the correlation between these parameters.
Results: The analysis included 202 countries. A univariate analysis showed that population median age significantly correlated with the cumulative number of cases and deaths, while mean ambient temperature showed a significant inverse correlation with the cumulative number of deaths on days 14 and 28 from the epidemic outbreak. After a multivariate logistic regression analysis only population median age retained its statistically significant correlation.
Conclusions: Country population median age significantly correlated with COVID-19 pandemic burden while mean ambient temperature shows a significant inverse correlation only in univariate analysis. Countries with older populations encountered a heavier burden from the COVID-19 pandemic. This information may be valuable for health systems in planning strategies for combating this global health hazard.
. 2021 Jun;23(6):336-340.
The Effect of Population Age and Climate on COVID-19 Morbidity and Mortality
Ariel Zilberlicht[SUP] 1 2 [/SUP], Dan Abramov[SUP] 3 [/SUP], Nir Kugelman[SUP] 1 2 [/SUP], Ofer Lavie[SUP] 1 2 [/SUP], Yossef Elias[SUP] 4 [/SUP], Yoram Abramov[SUP] 1 2 [/SUP]
Affiliations
- PMID: 34155843
Abstract
Background: The novel coronavirus disease 2019 (COVID-19) is an infectious disease that presents an urgent challenge to global health and economy.
Objectives: To assess the effects of population median age and mean ambient temperature on the COVID-19 global pandemic burden.
Methods: We used databases from open access public domains to record population median age, mean ambient temperature, and the numbers of COVID-19 cases and deaths on days 14 and 28 from the pandemic outbreak for each country in the world. We then calculated the correlation between these parameters.
Results: The analysis included 202 countries. A univariate analysis showed that population median age significantly correlated with the cumulative number of cases and deaths, while mean ambient temperature showed a significant inverse correlation with the cumulative number of deaths on days 14 and 28 from the epidemic outbreak. After a multivariate logistic regression analysis only population median age retained its statistically significant correlation.
Conclusions: Country population median age significantly correlated with COVID-19 pandemic burden while mean ambient temperature shows a significant inverse correlation only in univariate analysis. Countries with older populations encountered a heavier burden from the COVID-19 pandemic. This information may be valuable for health systems in planning strategies for combating this global health hazard.