{"doi":"10.1093/ije/dyab007","title":"COVID-19 and the worsening of health inequities in Santiago, Chile","abstract":"The COVID-19 pandemic is already responsible for >1 million deaths worldwide.1 Latin America is one of the most affected regions worldwide, with >300 000 deaths confirmed by September 2020.1 Latin America is also one of the most urbanized and unequal regions in the world, with wide inequities in longevity in its cities.2 Wide inequities in COVID-19 outcomes have been reported in other settings.3 However, policymakers in some Latin American countries have expressed scepticism about the existence of health inequities in COVID-19 mortality.4 We used mortality, population and census data to show a worsening of pre-existing inequities in mortality in the municipalities that make up the metropolitan region of Santiago (Chile) during the COVID-19 pandemic. We obtained data for the 36 comunas (municipalities) that make up Greater Santiago, the metropolitan area of the capital of Chile, on: (i) mortality by age for the 2016–2020 period from the Department of Statistics and Health Information (DEIS); (ii) population projections by age for the 2016–2020 period from the National Institute of Statistics (INE); and (iii) average years of schooling among adults aged ≥25 years, and the proportion of households living in overcrowding (>2.5 people/bedroom) from the 2017 Chilean census. We selected these two indicators since they represent either good measures of area-level socio-economic status (SES) or are directly linked to COVID-19 transmission. We computed age-adjusted mortality rates, using the 2000 World Health Organization reference population, from January to August for the pre-pandemic (years 2016–2019) and pandemic (2020) periods. We estimated the association between log(mortality) and average years of schooling or proportion overcrowded households using a linear model for each period separately. Data and code for replication are available here: https://github.com/usamabilal/COVID_Chile_Inequities. Figure 1 shows the main results. We found a strong association between SES and mortality in both periods, although this association was stronger in 2020. Specifically, we found a 9.0% lower mortality per 1-year increase in the average schooling years in the pre-pandemic period [relative risk (RR) = 0.91, 95% confidence interval (CI) 0.87 to 0.93] compared with a 13.8% lower mortality in the 2020 period (RR = 0.86, 95% CI 0.83 to 0.89). We also found that a 5% increase in the proportion of overcrowded households was associated with a 22% and 32% higher mortality in the pre-pandemic and pandemic periods, respectively (RR = 1.22, 95% CI 1.16 to 1.28; RR = 1.32, 95% CI 1.23 to 1.42). Area-level socio-economic status and age-adjusted mortality in 2016–2019 and 2020 in the municipalities of Santiago, Chile (A) Average years of schooling for adults >25 years of age; (B) percentage of households living in overcrowded situations. The solid line represents a linear fit. In summary, we found a worsening of pre-existing inequities in mortality in the metropolitan area of Santiago de Chile during the COVID-19 pandemic. The association of years of schooling and overcrowding with mortality in the pre-pandemic period (2016–2019) is consistent with previous research in Santiago, showing wide gaps in life expectancy2 and infant mortality.5 Our finding that mortality inequities in 2020 were greater than in previous periods contradicts statements made in September 2020 by the Minister of Health of Chile, which indicated that there is no relationship between mortality due to COVID-19 and poverty, as this would imply discriminatory healthcare due to the place of origin of the patients.4 This assertion ignores existing structural inequalities in Chile, including inequities in healthcare access and utilization by type of insurance both before6 and during the pandemic,7 along with social determinants of health beyond the health system. These include factors driving not only incidence and increased exposure to the virus,3 such as more precarious employment condition","journal":"International Journal of Epidemiology","year":2021,"id":146975,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":183,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9587,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":620192,"name":"Tania Alfaro","orcid":"0000-0002-2528-1457","position":1,"is_corresponding":false},{"id":622033,"name":"Alejandra Vives","orcid":null,"position":2,"is_corresponding":false},{"id":295206,"name":"Usama Bilal","orcid":"0000-0002-9868-7773","position":0,"is_corresponding":true}],"reference_count":8,"raw_metadata":null,"created_at":"2026-07-18T23:42:30.206628Z","pmid":"33537771","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}