Estimating the Direct Disability-Adjusted Life Years Associated With SARS-CoV-2 (COVID-19) in the Republic of Ireland: The First Full Year

Estimating the disability adjusted life years associated with COVID-19 in Iran for the first 2 years of the pandemic

Background

The World Health Organization (WHO) declared a pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), on 11 March 2020. Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality, allowing for comprehensive comparisons of the population. The purpose of this study was to estimate DALYs due to COVID-19 in Iran for the first 2 years of the pandemic.

Methods

DALYs were estimated as the sum of Years of Life Lost (YLLs) and Years Lived with Disability (YLDs) associated with COVID-19 in Iran from 19 February 2020 to 20 March 2022. The life expectancy for COVID-19 YLL estimations was based on the Global Burden of Disease (GBD) 2019 study.

Results

There were 15,639,243 outpatients and 1,170,602 hospitalized confirmed cases, of which 120,965 deaths were as a direct result of COVID-19. DALYs were estimated to be 2,376,552. Overall, YLL contributed to 99.34% of the DALYs, while the remaining 0.66% was attributed to YLD.

Conclusion

COVID-19 had a significant impact on population health in Iran during the first 2 years of the pandemic; this study provides a comprehensive depiction of COVID-19's burden and is helpful for comparing its impact with other diseases in the population and across populations.

Burden of COVID-19 in Córdoba, A Department of Colombia: Results of Disability-Adjusted Life-Years: Carga de COVID-19 en Córdoba, un Departamento de Colombia: Resultados de los Años de Vida Ajustados por Discapacidad

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.

A methodological framework for ranking communicable and non-communicable diseases due to climate change - A focus on Ireland

There is currently a significant global focus from the public health community on addressing climate-related public health issues. Globally we are witnessing geological shifts, extreme weather events, and the associated incidents that may have a significant human health impact. These include unseasonable weather, heavy rainfall, global sea-level rise and flooding, droughts, tornados, hurricanes, and wildfires. Climate change can have a direct and indirect health impact. The global challenge of climate change requires global preparedness for potential human health effects due to climate change, including vigilance for diseases carried by vectors, foodborne and waterborne diseases, deteriorated air quality, heat stress, mental health, and potential disasters. Therefore, it is essential to identify and prioritise the consequences of climate change to become future-ready. This proposed methodological framework aimed to develop an innovative modelling method using the 'Disability-Adjusted Life Year (DALY)', to rank potential direct and indirect human health impacts (communicable and non-communicable diseases) of climate change. This approach aims to ensure food safety, including water, in the wake of climate change. The novelty of the research will come from developing models with spatial mapping (Geographic Information System or GIS), which will also consider the influence of climatic variables, geographical differences in exposure and vulnerability and regulatory control on feed/food quality and abundance, range, growth, and survival of selected microorganisms. In addition, the outcome will identify and assess emerging modelling techniques and computational-efficient tools to overcome current limitations in climate change research on human health and food safety and to understand uncertainty propagation using the Monte Carlo simulation method for future climate change scenarios. It is envisaged that this research work will contribute significantly to developing a lasting network and critical mass on a national scale. It will also provide a template to implement from a core centre of excellence in other jurisdictions.