Home » Model-based estimation of burden of COVID-19 with disability-adjusted life years and value of statistical life in West Bengal, India

Model-based estimation of burden of COVID-19 with disability-adjusted life years and value of statistical life in West Bengal, India

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February 15, 2023

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People walking on a railway station with covid virus around them.
Researchers from CPHR published in BMJ Open to estimate the DALYs and cost of productivity loss due to COVID-19 in West Bengal. Disability-adjusted life years (DALYs), years of potential productive life lost (YPPLL), cost of productivity lost (CPL: premature mortality and absenteeism), years of potential life lost (YPLL), premature years of potential life lost, working years of potential life lost (WYPLL) and value of statistical life (VSL) were estimated across scenarios (21 for DALY and 3 each for YPLL and VSL). 
The comparison of time trends of estimates with COVID vaccination demonstrates its effectiveness in reducing the mortality rates by decreasing the slope of CPL–premature mortality and the value of the statistical life curves.
A chart showing Time trend of estimates and total number vaccinated. CPL, cost of productivity lost; DALY, disability-adjusted life year; VSL, value of statistical life; YLL, years of life lost.

COVID-19 had a higher impact on the elderly population with 90.2% of deaths arising from people aged above 45.

Our research found that DALYs for males and females were 190 568.1 and 117 310.0 years, respectively, and the YPPLL of the productive population was 28 714.7 and 16 355.4 years. The CPL due to premature mortality was INR3 198 259 615.6 and INR583 397 335.1 for males and females, respectively, while the CPL due to morbidity was INR2 505 568 048.4 and INR763 720 886.1. YPLL for males and females ranged from 189 103.2 to 272 787.5 years and 117 925.5 to 169 712.0 years for lower to higher age limits, and WYPLL was 54 333.9 and 30 942.2 years. The VSL (INR million) for the lower, midpoint, and upper life expectancies was 883 330.8, 882 936.4, and 880 631.3, respectively.

Our study found that vaccination was associated with reduced mortality. The losses incurred due to COVID-19 had a disproportionately higher impact on the elderly and males in West Bengal. Analyzing various age-gender subgroups enhances localized and targeted policymaking to minimize losses in future pandemics.

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Based on the gathered data on infections and deaths

In Kerala, the impact of the virus was less severe on young people compared to the elderly, and this was also evident in our study. Despite the infection rate being 28.0% and 25.8% among males and females in the 31-45 years age group, respectively, the percentage of deaths in this group was only 8.4% and 6.8% of the total deaths.

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