| ORIGINAL ARTICLE |
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| Year : 2022 | Volume
: 9
| Issue : 3 | Page : 79-85 |
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Death probability analysis in the old aged population and smokers in India owing to COVID-19
Parikshit Gautam Jamdade1, Shrinivas Gautamrao Jamdade2
1 Department of Electrical Engineering, Pune Vidyarthi Grihas College of Engineering and Technology, Pune, Maharashtra, India
2 Department of Physics, Nowrosjee Wadia College, Pune, Maharashtra, India
Correspondence Address:
Parikshit Gautam Jamdade
Department of Electrical Engineering, Pune Vidyarthi Grihas College of Engineering and Technology, Pune, Maharashtra, India, Pune - 411 052, Maharashtra
India
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/RID.RID_22_22
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OBJECTIVE: Research has shown that older people and smokers have a higher death probability from coronavirus disease 2019 (COVID-19). Thus, we investigated the effect of COVID-19 on death probability for individuals aged 65–70 years and smokers in India.
MATERIALS AND METHODS: We did so using a differential learning (feed-backward) model. In the present study, we examined World Health Organization (WHO) declared COVID-19 data of India. We divided the patients into two groups accordingly: the population aged 65–70 years and female or male smokers.
RESULTS: We observed that in the early stages of infection (up to 5 days), there was higher death probability in the older population; among smokers, it occurred in the middle period after infection (5–8 days). We estimated that the death probability among smokers was 1.905 times that of the older population.
CONCLUSION: As Government of India, taking various initiatives to curb the spread of COVID-19, but these are not enough, so we suggest measures that should help to reduce COVID-19 infection in India.
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