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- W4205379350 abstract "Abstract The coronavirus is an accurate disease and this virus-related pandemic is hammering human health and increased the public health emergency till now. The main objective of this study is to find out the death, mortality ratio, new cases, and recoveries case identification and correlation analysis between them using regression technique on legislative assembly elections from India. This study encompassed the present disorder of India throughout the elections time in India from 27th March 2021 to 29th April 2020. Statistical analysis was developed by the covid-19 database for monitoring and analyzing the health statutes during elections. Mortality ratio, the relation between active and death cases, active cases and recover cases in India are calculating corona affected data. The results show that death cases were high in the second wave of coronavirus in India. The correlation between daily death and new cases was strong positive (R 2 = 0.9306). The relationship between recoveries and death was stronger positive (R 2 =0.9832). The daily death and active cases collation indicated that strong positive (R 2 = 0.9703). The COVID-19 is dangerous to people's health. The virus is more life-threatening and if people will not follow the WHO guidelines, and it strength demonstration additional havoc very shortly." @default.
- W4205379350 created "2022-01-25" @default.
- W4205379350 creator A5084169112 @default.
- W4205379350 date "2022-01-06" @default.
- W4205379350 modified "2023-10-14" @default.
- W4205379350 title "Delineation of public health risk factor associate with the mortality ratio in covid-19 pandemic situation during legislative assembly elections from Indian states" @default.
- W4205379350 doi "https://doi.org/10.21203/rs.3.rs-1052422/v1" @default.
- W4205379350 hasPublicationYear "2022" @default.
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