Language: english / Publication Year Range: Last 3 years / Topic: 3 selected / Region: india - Searchworks@Jio Institute Digital Library Search Results

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Start Over Topic covid-19 Topic death rate Topic stay-at-home orders Publication Year Range Last 3 years Language english Region india

Author: Minu, R. I., Nagarajan, G., Mary, A. Viji Amutha, Selvan, Mercy Paul, and Saravanan, T. R.
Subjects: COVID-19 pandemic, SKEWNESS (Probability theory), INFECTION control, GAUSSIAN distribution, STAY-at-home orders, COVID-19
Abstract: The objective of this paper is to provide an insight on effect of stringency in Covid-19 spread in India especially in Chennai, a city were more lockdown, and restrictions was imposed to control the infection. Even though the restriction was imposed in the country by the end of March 2020, the growth reduction was seen in the mid of June as the awareness was increased. The average Covid-19 case growth was got reduce from 3.43 to 2.62% by July mid. To analysis the impact of stringency, a detailed analysis was done on Chennai city which was imposed with more repeated lockdowns to flatten the curve. We tried to fit a regression line with three difference scenario of data. The results show a promising R-squared and p value, with a right skewed distribution normal probability plot. The impact of lockdown in people's lives in different sectors were also discussed in this paper. [ABSTRACT FROM AUTHOR]
Published: 2023
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Author: Prathap, G.
Subjects: COVID-19 pandemic, COVID-19, DEATH rate, PANDEMICS, STAY-at-home orders
Abstract: In its simplest form, a pandemic like Covid-19 progresses roughly according to a logistical law – exponentially at first till a peak rate is reached and then the curve turns and finally levels off. However, this textbook feature is interrupted by lockdowns, other pandemic mitigating protocols, and the emergence of new variants and so the picture becomes complex with multiple wavelike interferences. In this paper, we identify two components – the death rate per million of population (N) and the fractional rate of change (f) at each stage. We propose a series of hierarchically ordered indicators with a final second-order indicator X = f2N. This serves as a single number metric summarising the criticality of the rate of progress of the pandemic at that stage. We use as examples, the progress of Covid-19 at the global level, and within India. This helps to reveal the complex features of the evolution of a pandemic in a region. [ABSTRACT FROM AUTHOR]
Published: 2023
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