Table 1 The general characteristics of the reviewed studies
From: Disability-adjusted life years (DALYs) based COVID-19 health impact assessment: a systematic review
No. | Included studies | Objectives/aims of studies | Study duration | Country | Data | Data source | Study design | Impact metrics | Funding |
|---|---|---|---|---|---|---|---|---|---|
1. | Cuschieri et al. [9] | “To estimate the direct impact of Covid-19 on the population”. | 1 year | Malta | Mortality and morbidity | Mortality and weekly hospital reports | Observational | YLDs and YLLs | No funding received |
2. | Fan et al. [11] | “To elucidate global disease burden with DALYs metric across different regions and periods.” | 1 year and 3 months | Global | Mortality and morbidity | Open data reports | Observational | YLDs and YLLs | Ministry of science and technology, Taiwan |
3. | Oh et al. [12] | “To estimate the YLLs due to COVID-19 in 30 high-incidence countries”. | 3 months | 30 high incidence countries | Mortality only | WHO daily reports | Observational | YLLs only | Ministry of health and welfare, republic of Korea |
4. | Wyper et al. [13] | To estimate DALYs directly due to COVID-19 in Scotland, during 2020; and contextualise its population impact relative to other causes of disease and injury. | 1 year | Scotland | Mortality and morbidity | National Records of Scotland | Observational | YLDs and YLLs | No funding received |
5. | Islam et al. [14] | “To estimate the changes in life expectancy and years of life lost in 2020 associated with the covid-19 pandemic”. | 1 year | 37 countries | Mortality only | Online mortality database | Time series analysis | YLLs only | No funding received |
6. | Pifarre et al. [15] | “To assess the years life lost due to COVID-19”. | 9 months | 81 highly affected countries | Mortality only | Weekly mortality data | Observational | YLLs only | La Caixa Foundation for Héctor Pifarré Arolas and Guillem López Casasnovas |
7. | Ugarte et al. [16] | “To estimate the potential years of life lost in 17 countries”. | 8 months | 17 counties | Mortality only | Primary national source | Observational | YLLs only | The University of Nicosia Medical School |
8. | Rommel et al. [18] | “To assess the health burden of COVID-19)”. | 1 year | Germany | Mortality and morbidity | Report of Robert Koch Institute | Observational | YLDs and YLLs | Innovation Fund of the German Joint Federal Committee |
9. | Gianino et al. [19] | “To assess the burden of COVID-19 in some of the EU/EEA countries”. | 10 months | 16 European Countries | Mortality and morbidity | Different daily and weekly reports | Observational | YLDs and YLLs | No funding received |
10. | Salinas-Escudero et al. [20] | “To assess the DALYs due to COVID-19 in Mexico”. | 10 moths | Mexico | Mortality and morbidity | Mexican Ministry of Health | Observational | YLDs and YLLs | SecretarĂa de educaciĂłn, ciencia, tecnologĂa e innovaciĂłn de la |
11. | Singh et al. [21] | “To put the disease impact into context and support future pandemic policy development.” | 11 months | India | Mortality and morbidity | Official records or published literature | Observational | YLDs and YLLs | No funding received |
12. | Jo et al. [22] | “This study aimed to calculate the burden of disease due to COVID-19 in Korea”. | 3 months | Korea | Mortality and morbidity | Korean CDC | Observational | YLDs and YLLs | Korea Health Industry Development Institute |