scholarly journals Burden of disease methods: a guide to calculate COVID-19 disability-adjusted life years

2020 ◽  
Author(s):  
Grant Mark Andrew Wyper ◽  
Ricardo MA Assunção ◽  
Edoardo Colzani ◽  
Ian Grant ◽  
Juanita A Haasgma ◽  
...  

Our paper provides a step-by-step guide to define COVID-19 as a cause of disease burden, which can be used to calculate DALYs. Additionally, we suggest pragmatic data inputs, reflecting the availability and quality of data inputs will vary by country. As our paper provides suggestions for different solutions, we recommend that users should be clear about their methodological choices to aid comparisons and knowledge translation.

2021 ◽  
Author(s):  
Di Lu ◽  
jianxue Zhai ◽  
Jintao Zhan ◽  
Xiguang Liu ◽  
Xiaoying Dong ◽  
...  

Abstract Background: Esophageal cancer is the 10th leading cancer in US but given limited research attention. This study aimed to investigate the esophageal cancer disease burden more comprehensively in US. Methods: Having retrieved states-categorized data on esophageal cancer incidence, mortality and disability-adjusted life years from the Global Burden of Disease study online resource, the current trends on esophageal cancer disease burden attributed to different risk factors and their relationship with economic status were analyzed using age-standardized rate and the estimated annual percentage change.Results: In US, the esophageal cancer age-standardized rate of incidence has been stable but age-standardized rates of mortality and disability-adjusted life years trended to decreased with estimated annual percentage changes of -0.237% and -0.471% from 1990 to 2017. Age-standardized rate of incidence was higher in males than in females, but both didn’t increase, so as age-standardized rates of mortality and disability-adjusted life years. The largest increase in age-standardized rates of incidence, mortality and disability-adjusted life years was observed in Oklahoma, whereas the largest decrease was seen in the District of Columbia. Age-standardized rates of mortality and disability-adjusted life years contributed to high BMI or diet low in fruits were growing. per capita disposable personal income trended to negatively correlated with estimated annual percentage changes of incidence, mortality and disability-adjusted life years.Conclusions: The esophageal cancer disease burden in US decreased from 1990 to 2017 but was heavier in males than in females, and increased in economically weaker states and populations with high BMI and low-fruit diet.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Lynelle Moon ◽  
Anna Reynolds ◽  
Michelle Gourley

Abstract Background During 2020, there were nearly 28,500 cases of COVID-19 in Australia. Burden of disease estimates for COVID-19 have not been calculated for the Australian population. Burden of disease data on COVID-19 provide valuable information on the impact of the disease, including both fatal and non-fatal effects. Methods Burden of disease is measured using the summary measure disability-adjusted life years (DALYs). One DALY is 1 year of ‘healthy life’ lost due to illness (Years Lived with Disability) and/or death (Years of Life Lost)—the more DALYs associated with a disease or injury, the greater the burden. The analysis draws on Australian deaths, incidence and severity, as well as methods and other inputs developed in other countries reflecting current understanding about this new disease. Results There were over 8,300 DALYs lost due to COVID-19 in 2020 in Australia; 97% of the disease burden arose from fatal cases. Males lost an average of 10.7 years, and females 8.1 years, due to dying from COVID-19, using an aspirational life expectancy. The burden of disease estimates for Australia for COVID-19 are much lower than the leading diseases causing burden. Conclusions The relatively low burden for COVID-19 in Australia in 2020 compared to other diseases and other countries reflects the success Australia had in containing the virus. Key messages Most of the burden due to COVID-19 in Australia was fatal. Burden of disease estimates for COVID-19 in Australia for 2020 are much lower than the leading diseases.


Author(s):  
Rajesh Sharma

Abstract Background This study presents an up-to-date, comprehensive and comparative examination of breast cancer’s temporal patterns in females in Asia in last three decades. Methods The estimates of incidence, mortality, disability-adjusted-life-years and risk factors of breast cancer in females in 49 Asian countries were retrieved from Global Burden of Disease 2019 study. Results In Asia, female breast cancer incidence grew from 245 045[226 259–265 260] in 1990 to 914 878[815 789–1025 502] in 2019 with age-standardized incidence rate rising from 21.2/100 000[19.6–22.9] to 35.9/100 000[32.0–40.2] between 1990 and 2019. The death counts more than doubled from 136 665[126 094–148 380] to 337 822[301 454–375 251]. The age-standardized mortality rate rose marginally between 1990 and 2019 (1990: 12.1[11.0–13.1]; 2019: 13.4[12.0–14.9]). In 2019, age-standardized incidence rate varied from 17.2/100 000[13.95–21.4] in Mongolia to 122.5[92.1–160.7] in Lebanon and the age-standardized mortality rate varied 4-fold from 8.0/100 000 [7.2–8.8] in South Korea to 51.9[39.0–69.8] in Pakistan. High body mass index (5.6%), high fasting plasma glucose (5.6%) and secondhand smoke (3.5%) were the main contributory risk factors to all-age disability-adjusted-life-years due to breast cancer in Asia. Conclusion With growing incidence, escalating dietary and behavioural risk factors and lower survival rates due to late-disease presentation in low- and medium-income countries of Asia, breast cancer has become a significant public health threat. Its rising burden calls for increasing breast cancer awareness, preventive measures, early-stage detection and cost-effective therapeutics in Asia.


2020 ◽  
pp. 095646242095298
Author(s):  
Augusto Cesar Lara de Sousa ◽  
Tatiana de Araujo Eleuterio ◽  
José Victor Afonso Coutinho ◽  
Raphael Mendonça Guimarães

To describe the trends of HIV/AIDS metrics related to the burden of disease for Brazil between 1990 and 2017 we conducted a timeseries analysis for HIV/AIDS indicators by extracting data from the Global Burden of Disease study. We calculated traditional prevalence, incidence and mortality rates, the number of years lost by HIV-related deaths (YLL) and disability (YLD), and disability-adjusted life years (DALY). We estimated time series models and assessed the impact of highly active antiretroviral therapy (HAART) on the same indicators. In the set of disability-adjusted life years (DALY), the highest weight of its magnitude was due to YLL. There was a decline, especially after 1996, of DALY, mortality and YLL for HIV/AIDS. However, YLD, incidence, and prevalence increased over the same period. Also, the analysis of interrupted time series showed that the introduction of HAART into health policy had a significant impact on indicators, especially for DALY and YLL. We need to assess the quality of life of people living with HIV, especially among older adults. In addition, we need to focus on primary prevention, emphasizing methods to avoid infection and public policies should reflect this.


Author(s):  
Andreas Mogensen

In quantifying the global burden of disease in terms of Disability-Adjusted Life Years (DALYs), we must determine both Years of Life Lost (YLLs) and Years Lost to Disability (YLDs). In setting priorities for global health, many have felt that YLLs should not always simply equal life expectancy at death. To this end, Dean Jamison and colleagues recommend the use of a DALY metric that incorporates Acquisition of Life Potential (ALP). When an individual dies, the YLLs that we would otherwise count are multiplied by the value of the ALP function, which rises gradually from 0 to 1 during the first stages of an individual’s life. Jamison et al. do not provide a detailed philosophical justification for the use of gradual ALP. In this chapter I explain why I believe the Time-Relative Interest Account represents the most plausible ethical basis for the ALP approach and describe how we might model ALP in light of this account.


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