ArticleSN computer science2021
Pandemic Penetration: Factors for Measurement.
Article in SN computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
Funding
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Abstract
The current Covid-19 Pandemic has thrown an immense challenge to the entire humanity. This pandemic spread across the entire globe is causing physical, economical, political, psychological and social stress. World Health Organization (WHO) is giving advisories to the nations from time to time in handling the pandemic. Different countries and WHO are publishing various statistics like the number of infected patients, number of recovered patients and number of deaths daily. There is a necessity to devise a metric, which we refer as Pandemic Penetration Index (PPI), to find out the intensity of the pandemic's penetration in different countries. This metric will not only help the policy makers to formulate the pandemic handling plans, but also acts as an apt tool for international organizations such as WHO, to provide nation-specific advisories. The effectiveness of the metric will depend on various individual factors that are to be considered, its measurement and weightage assigned to individual factors. Objective of the current study is to explore, estimate and establish various essential constituent individual factors for deriving proper PPI value, based on the current COVID 19 data.
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