2022
DOI: 10.1136/bmjopen-2021-059201
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Unequal impact of the COVID-19 pandemic in 2020 on life expectancy across urban areas in Chile: a cross-sectional demographic study

Abstract: ObjectivesTo quantify the impact of the COVID-19 pandemic on life expectancy in Chile categorised by rural and urban areas, and to correlate life expectancy changes with socioeconomic factors at the municipal level.DesignRetrospective cross-sectional demographic analysis using aggregated national all-cause death data stratified by year, sex and municipality during the period 2010–2020.Setting and populationChilean population by age, sex and municipality from 2002 to 2020.Main outcome measuresStratified mortali… Show more

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Cited by 10 publications
(12 citation statements)
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“…In another study, cultural dimensions were related to COVID-19 measures only when socio-economic indicators were not considered but lost their significance when socio-economic variables were entered into the models [ 32 ]. As in our study, other authors suggest more outcome variables such as excess mortality as well as the impact on the economy and citizens’ freedom should be considered [ 33 , 34 , 35 ].…”
Section: Discussionsupporting
confidence: 56%
“…In another study, cultural dimensions were related to COVID-19 measures only when socio-economic indicators were not considered but lost their significance when socio-economic variables were entered into the models [ 32 ]. As in our study, other authors suggest more outcome variables such as excess mortality as well as the impact on the economy and citizens’ freedom should be considered [ 33 , 34 , 35 ].…”
Section: Discussionsupporting
confidence: 56%
“…For Chile, life expectancy decreased by 1.8 years for males and 1.3 among females in 2020, but poorer urban municipalities were the most affected. (25) In Brazil, life expectancy decreased in 2020 and the Amazonian and northern regions experienced the largest losses. Overburdened healthcare facilities, including insufficient hospital beds and disruption in primary care services are potential explanations for regional differences and continued life-expectancy losses in Brazil in 2021.…”
Section: Discussionmentioning
confidence: 99%
“…A study in Kolkata finds a correlation between COVID-19 hotspots and lack of access to water, sanitation and other infrastructure (Das et al, 2021). Studies across other geographical contexts have similarly found a correspondence between the social marginality of groups, and their limited capacity to engage in preventive behaviours like physical distancing and regular handwashing (see Nyashanu et al (2020) on South Africa and Mena and Aburto (2022) on Chile). In contrast, the relationship between urban density and COVID-19 contagion has been subject to substantial research and has generally found this correlation to be either moderate (Bhadra et al, 2021), or more attributable to other factors than density itself, such as the greater global connectivity of large metropolitan regions (see Angel and Blei, 2020).…”
Section: Pandemics Planning and Informality: A Brief Literature Reviewmentioning
confidence: 98%