Inequity in mortality rates and potential years of life lost caused by COVID-19 in the Greater Santiago, Chile.

Several studies have shown that, in Chile, income inequality is relevant in explaining health inequities. The COVID-19 pandemic has also had a negative impact, with higher mortality rates in those municipalities of Greater Santiago with lower socioeconomic status. We study inequity in mortality based on Potential Years of Life Lost (PYLL) in 34 urban municipalities of the Metropolitan Region (Greater Santiago) and analyze its evolution between 2018 and 2021 and by COVID-19 waves. To compare the results obtained for PYLL, we also computed the mortality rates adjusted by direct standardization. In addition, we used the concentration index (CI) to measure the health inequalities between municipalities. In the first year of the pandemic, the absolute PYLL and the standardized mortality rate for all causes of death showed an increase of 13.6% and 18.9%, respectively. Moreover, 409,086 years of life were prematurely lost in 2020, one-fifth of them due to COVID-19. The concentration indices confirm inequality in both mortality rates and PYLL, where it is more pronounced when calculating the latter measure. Results show that the deaths due to the COVID-19 pandemic affected the most economically disadvantaged municipalities, and particularly young people in those places.

COVID-19 en Chile: análisis de su impacto por olas y regiones

Background: The effects of COVID-19 in Chile changed over time and among regions. Aim: To identify patterns in the impact and evolution of COVID-19 for each wave generated between 2020 and 2022 at the 16 regions of the country. Material and Methods: Several indicators related to the pandemic, their evolution and their consequences for the health system and the health of the population were calculated. Results: There are differences in the evolution of the infection across the regions of the country, as well as heterogeneity between waves. Specifically, the second wave in Chile was identified as the one with the greatest impact, with a national death rate of 123.5 deaths per 100,000 inhabitants and 66.4% intensive care unit occupancy rate due to COVID-19. Performing a geographic analysis, it was possible to find systematic patterns, for example, between regions with higher immunization rates and lower rates of lethality, such as the cases of Ñuble and Atacama regions. Conclusions: These results emphasize the need to consider regional differences and the temporal context for the elaboration of strategies to the efficient management of a pandemic.

[The impact of the different waves of COVID-19 pandemic in Chile across regions]. / COVID-19 en Chile: análisis de su impacto por olas y regiones.

BACKGROUND: The effects of COVID-19 in Chile changed over time and among regions. AIM: To identify patterns in the impact and evolution of COVID-19 for each wave generated between 2020 and 2022 at the 16 regions of the country. MATERIAL AND METHODS: Several indicators related to the pandemic, their evolution and their consequences for the health system and the health of the population were calculated. RESULTS: There are differences in the evolution of the infection across the regions of the country, as well as heterogeneity between waves. Specifically, the second wave in Chile was identified as the one with the greatest impact, with a national death rate of 123.5 deaths per 100,000 inhabitants and 66.4% intensive care unit occupancy rate due to COVID-19. Performing a geographic analysis, it was possible to find systematic patterns, for example, between regions with higher immunization rates and lower rates of lethality, such as the cases of Ñuble and Atacama regions. CONCLUSIONS: These results emphasize the need to consider regional differences and the temporal context for the elaboration of strategies to the efficient management of a pandemic.

Factors associated with change in adherence to COVID-19 personal protection measures in the Metropolitan Region, Chile.

Personal protective measures such use of face masks, hand washing and physical distancing have proven to be effective in controlling the spread of the Covid-19 pandemic. However, adherence to these measures may have been relaxed over time. The objective of this work is to assess the change in adherence to these measures and to find factors that explain the change For this purpose, we conducted a survey in the Metropolitan Region of Chile in which we asked the adherence to these measures in August-September 2021 and retrospectively for 2020. With the answers obtained we fit a logistic regression model in which the response variable is the relaxation of each of the self-care preventive actions. The explanatory variables used are socio-demographic characteristics such as the age, sex, income, and vaccination status of the respondents. The results obtained show that there has been a significant decrease in adherence to the three personal protection measures in the Metropolitan Region of Chile. In addition, it was observed that younger people are more likely to relax these measures. The results show the importance of generating new incentives for maintaining adherence to personal protection measures.

Identification of COVID-19 Waves: Considerations for Research and Policy.

The identification of COVID-19 waves is a matter of the utmost importance, both for research and decision making. This study uses COVID-19 information from the 52 municipalities of the Metropolitan Region, Chile, and presents a quantitative method-based on weekly accumulated incidence rates-to define COVID-19 waves. We explore three different criteria to define the duration of a wave, and performed a sensitivity analysis using multivariate linear models to show their commonalities and differences. The results show that, compared to a benchmark definition (a 100-day wave), the estimations using longer periods of study are worse in terms of the model's overall fit (adjusted R2). The article shows that defining a COVID-19 wave is not necessarily simple, and has consequences when performing data analysis. The results highlight the need to adopt well-defined and well-justified definitions for COVID-19 waves, since these methodological choices can have an impact in research and policy making.