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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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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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.

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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Impact of ban on commercial smokeless tobacco products among users and vendors in West Bengal and Kerala states, India

Impact of ban on commercial smokeless tobacco products among users and vendors in West Bengal and Kerala states, India

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Impact of ban on commercial smokeless tobacco products among users and vendors in West Bengal and Kerala states, India

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A person consuming a Gutkha - smokeless tobacco
Tobacco is a major health hazard, causing numerous diseases and even death. India is the world’s second-largest consumer of tobacco, with millions of people addicted to it. In an effort to curb this dangerous addiction, the sale of commercially available smokeless tobacco products such as gutkha has been banned in many Indian states since 2011.
We wanted to know how effective this ban has been in the states of West Bengal and Kerala, so we conducted a study to understand the impact of the ban on users and vendors of gutkha in these two states.
We selected three districts from each state, and from each district, we randomly selected one Municipality and two Community Development Blocks to represent each cluster. Then, we used line transect survey to identify Point of Sale (POS) of tobacco products, and interviewed tobacco consumers and vendors from these POS.
In total, we interviewed 865 tobacco users (450 from West Bengal and 415 from Kerala) and 173 vendors (90 from West Bengal and 83 from Kerala). We found that 16.1% of the total users from Kerala were using gutkha alone or in combination with other tobacco chewing products, while in West Bengal the corresponding figure was 17.3%.
Table 1 – General information of the consumers and vendors.
General information of the consumers and vendors.
N= Number of Consumers/Vendors.

We also found that knowledge about the ban was high among both the consumers and vendors in Kerala, with 95.7% of consumers and 100% of vendors being aware of it. However, in West Bengal, only 64% of consumers and 62.2% of vendors knew about the ban.

Interestingly, we found that gutkha was still available in 68% of the shops in West Bengal, while in Kerala, no sale of gutkha was reported in shops.

However, half of the vendors we interviewed in Kerala admitted to selling gutkha in the black market.

Overall, we found that the ban had little impact on the sale of gutkha in the open market in West Bengal, while it had a moderate impact in Kerala. However, the black market sales in Kerala are a matter of concern, and we believe that strict legislative measures are essential to cut the supply route for effective implementation of the ban.

This study, published in the Clinical Epidemiology and Global Health, sheds light on the effectiveness of the gutkha ban in two Indian states and highlights the need for more stringent measures to curb the sale and consumption of tobacco products. As responsible citizens, we should all do our part in spreading awareness about the harmful effects of tobacco and advocating for a healthier society.

Despite a Ban on sale of Gutkha

It is still on sale in open market as well as black market in some states of India. A stricter measures are needed to curb the sale and consumption of gutkha.

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