Cargando…
RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA()
INTRODUCTION: The COVID-19 pandemic in other countries has affected with a greater number of cases and deaths in areas of higher density and poverty, however, this analysis has not been determined in the Metropolitan Region (MR) of Chile . OBJECTIVE: Identify if there is a relationship between densi...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849443/ http://dx.doi.org/10.1016/j.rmclc.2020.07.006 |
_version_ | 1783645302671015936 |
---|---|
author | Rivera-Córdova, Alen |
author_facet | Rivera-Córdova, Alen |
author_sort | Rivera-Córdova, Alen |
collection | PubMed |
description | INTRODUCTION: The COVID-19 pandemic in other countries has affected with a greater number of cases and deaths in areas of higher density and poverty, however, this analysis has not been determined in the Metropolitan Region (MR) of Chile . OBJECTIVE: Identify if there is a relationship between density and density-poverty with confirmed cases of coronavirus in the MR. METHOD: The association between density, poverty and density-poverty with the cases confirmed by odds ratio is evaluated; Study type and design: observational, retrospective; Population: population of the MR, 8.125.072 inhabitants; Cases: inhabitants of the MR confirmed with coronavirus from 03.03.20 to 04.20.20; Controls: inhabitants of the MR not confirmed with coronavirus from 03.03.20 to 04.20.20; Study time period: 03/03/20 to 04/20/20; Variables: dependent variable: number of confirmed cases with coronavirus in the MR and unconfirmed population with coronavirus; independent variable 1: population density of municipalities in the metropolitan region, independent variable 2: poverty index of municipalities in the MR and independent variable 3: poverty index and population density of municipalities in the MR; Outcomes: confirmed patients with coronavirus are associated with the areas with the highest density and with the highest poverty-density; Method used to determine this association: probability ratio (OR). RESULTS: The ratio between confirmed and unconfirmed cases with coronavirus on MR is 1,3 times higher in inhabitants living at a density >5.349 inhab/km(2) with a 95% CI: 1,2720–1,4140, p < 0,0001 and 1,2 times higher in the inhabitants living at a density >11.444 inhab/km(2) with a 95% CI: 1,1494-1,3019, p < 0,0001; the ratio between confirmed and unconfirmed cases with coronavirus on MR is 1,46 times higher in inhabitants who have a poverty <10,41% and live at a density >11,444 inhab/km(2) with a 95% CI: 1,3137-1,6225, p < 0.0001 and 1,58 times higher in the inhabitants who live in a density >5,349 inhab/km(2) and have a poverty >10,41% with a 95% CI: 1,3279-1,8825, p < 0.0001. CONCLUSIONS: In the Metropolitan Region there is an association between the number of confirmed cases with coronavirus with a higher population density and a higher poverty-density. |
format | Online Article Text |
id | pubmed-7849443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-78494432021-02-02 RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() Rivera-Córdova, Alen Revista Médica Clínica Las Condes Article INTRODUCTION: The COVID-19 pandemic in other countries has affected with a greater number of cases and deaths in areas of higher density and poverty, however, this analysis has not been determined in the Metropolitan Region (MR) of Chile . OBJECTIVE: Identify if there is a relationship between density and density-poverty with confirmed cases of coronavirus in the MR. METHOD: The association between density, poverty and density-poverty with the cases confirmed by odds ratio is evaluated; Study type and design: observational, retrospective; Population: population of the MR, 8.125.072 inhabitants; Cases: inhabitants of the MR confirmed with coronavirus from 03.03.20 to 04.20.20; Controls: inhabitants of the MR not confirmed with coronavirus from 03.03.20 to 04.20.20; Study time period: 03/03/20 to 04/20/20; Variables: dependent variable: number of confirmed cases with coronavirus in the MR and unconfirmed population with coronavirus; independent variable 1: population density of municipalities in the metropolitan region, independent variable 2: poverty index of municipalities in the MR and independent variable 3: poverty index and population density of municipalities in the MR; Outcomes: confirmed patients with coronavirus are associated with the areas with the highest density and with the highest poverty-density; Method used to determine this association: probability ratio (OR). RESULTS: The ratio between confirmed and unconfirmed cases with coronavirus on MR is 1,3 times higher in inhabitants living at a density >5.349 inhab/km(2) with a 95% CI: 1,2720–1,4140, p < 0,0001 and 1,2 times higher in the inhabitants living at a density >11.444 inhab/km(2) with a 95% CI: 1,1494-1,3019, p < 0,0001; the ratio between confirmed and unconfirmed cases with coronavirus on MR is 1,46 times higher in inhabitants who have a poverty <10,41% and live at a density >11,444 inhab/km(2) with a 95% CI: 1,3137-1,6225, p < 0.0001 and 1,58 times higher in the inhabitants who live in a density >5,349 inhab/km(2) and have a poverty >10,41% with a 95% CI: 1,3279-1,8825, p < 0.0001. CONCLUSIONS: In the Metropolitan Region there is an association between the number of confirmed cases with coronavirus with a higher population density and a higher poverty-density. 2021 2021-02-01 /pmc/articles/PMC7849443/ http://dx.doi.org/10.1016/j.rmclc.2020.07.006 Text en . 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 Rivera-Córdova, Alen RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title | RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title_full | RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title_fullStr | RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title_full_unstemmed | RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title_short | RELACIÓN DENSIDAD Y POBREZA CON CASOS CONFIRMADOS POR CORONAVIRUS EN LA REGIÓN METROPOLITANA() |
title_sort | relación densidad y pobreza con casos confirmados por coronavirus en la región metropolitana() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849443/ http://dx.doi.org/10.1016/j.rmclc.2020.07.006 |
work_keys_str_mv | AT riveracordovaalen relaciondensidadypobrezaconcasosconfirmadosporcoronavirusenlaregionmetropolitana |