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.
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28 June 2023
FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & DATA ANALYTICS: Incorporating the 1st South-East Asia Workshop on Computational Physics and Data Analytics (CPDAS 2021)
21–24 November 2021
Kuala Lumpur, Malaysia
Research Article|
June 28 2023
Distress indicators and maps for Covid-19 Available to Purchase
G. Prathap
G. Prathap
a)
1
APJ Abdul Kalam Technological University
, Thiruvananthapuram, Kerala, India
6950162
Institute of Computer Science and Digital Innovation, UCSI University
, 56000 Cheras, Kuala Lumpur, Malaysia
a)Corresponding author: [email protected]
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G. Prathap
1,2,a)
1
APJ Abdul Kalam Technological University
, Thiruvananthapuram, Kerala, India
6950162
Institute of Computer Science and Digital Innovation, UCSI University
, 56000 Cheras, Kuala Lumpur, Malaysia
a)Corresponding author: [email protected]
AIP Conf. Proc. 2756, 020003 (2023)
Citation
G. Prathap; Distress indicators and maps for Covid-19. AIP Conf. Proc. 28 June 2023; 2756 (1): 020003. https://doi.org/10.1063/5.0140154
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