ABSTRACT
OBJECTIVES: This study aimed to estimate the burden of acute COVID-19 in Córdoba, one of the most affected departments (states) in Colombia, through the estimation of disability-adjusted life-years (DALYs). METHODS: DALYs were estimated based on the number of cases of severe acute respiratory syndrome coronavirus 2 infection cases reported by official Colombian sources. A transition probability matrix among severity states was calculated using data obtained from a retrospective cohort that included 1736 COVID-19 confirmed subjects living in Córdoba. RESULTS: Córdoba had 120.23 deaths per 100 000 habitants during the study period (March 2020 to April 2021). Estimated total DALYs were 49 243 (2692 DALYs per 100 000 inhabitants), mostly attributed to fatal cases (99.7%). On average, 25 years of life were lost because of death by this infection. A relevant proportion of years of life lost because of COVID-19 (46.6%) was attributable to people < 60 years old and was greater in men. People ≥ 60 years old showed greater risk of progression to critical state than people between the age of 35 and 60 years (hazard ratio 2.5; 95% confidence interval 2.5-12.5) and younger than 35 years (9.1; 95% confidence interval 4.0-20.6). CONCLUSION: In Córdoba, premature mortality because of COVID-19 was substantially represented by people < 60 years old and was greater in males. Our data may be representative of Latin American populations with great infection spread during the first year of the pandemic and contribute to novel methodological aspects and parameter estimations that may be useful to measure COVID-19 burden in other countries of the region.
ABSTRACT
Recent estimates have reiterated that non-fatal causes of disease, such as low back pain, headaches and depressive disorders, are amongst the leading causes of disability-adjusted life years (DALYs). For these causes, the contribution of years lived with disability (YLD) - put simply, ill-health - is what drives DALYs, not mortality. Being able to monitor trends in YLD closely is particularly relevant for countries that sit high on the socio-demographic spectrum of development, as it contributes more than half of all DALYs. There is a paucity of data on how the population-level occurrence of disease is distributed according to severity, and as such, the majority of global and national efforts in monitoring YLD lack the ability to differentiate changes in severity across time and location. This raises uncertainties in interpreting these findings without triangulation with other relevant data sources. Our commentary aims to bring this issue to the forefront for users of burden of disease estimates, as its impact is often easily overlooked as part of the fundamental process of generating DALY estimates. Moreover, the wider health harms of the COVID-19 pandemic have underlined the likelihood of latent and delayed demand in accessing vital health and care services that will ultimately lead to exacerbated disease severity and health outcomes. This places increased importance on attempts to be able to differentiate by both the occurrence and severity of disease.
ABSTRACT
BACKGROUND: The world is currently experiencing a pandemic of coronavirus disease 2019 (COVID-19). In Korea, as in other countries, the number of confirmed cases and deaths due to COVID-19 have been rising. This study aimed to calculate the burden of disease due to COVID-19 in Korea. METHODS: We used data on confirmed cases and deaths due to COVID-19 between January 20 and April 24, 2020 provided by the Korea Centers for Disease Control and Prevention, the local governments and the public media to determine disability-adjusted life years (DALYs) by sex and age. Morbidity was estimated directly among the confirmed, cured, and fatal cases. Disability weights were adopted from previous similar causes on the severity of COVID-19 for the years of life lived with disability (YLDs). The years of life lost (YLLs) were calculated using the standard life expectancy from the 2018 life tables for each sex and age. RESULTS: The YLDs were higher in females (155.2) than in males (105.1), but the YLLs were higher in males (1,274.3) than in females (996.4). The total disease burden attributable to COVID-19 in Korea during the study period, was estimated to be 2,531.0 DALYs, and 4.930 DALYs per 100,000 population. The YLDs and the YLLs constituted 10.3% and 89.7% of the total DALYs, respectively. The DALYs per 100,000 population were highest in people aged ≥ 80 years, followed by those aged 70-79, 60-69, and 50-59 years, but the incidence was the highest in individuals aged 20-29 years. CONCLUSION: This study provided the estimates of DALYs due to COVID-19 in Korea. Most of the disease burden from COVID-19 was derived from YLL; this indicates that decision-makers should focus and make an effort on reducing fatality for preparing the second wave of COVID-19.