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Erschienen in:
Introduction to Compartmental Models in Epidemiology Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

16. Modelling and Sensitivity Analysis of COVID-19 Under the Influence of Environmental Pollution

verfasst von : Nitin K Kamboj, Sangeeta Sharma, Sandeep Sharma

Erschienen in: Mathematical Analysis for Transmission of COVID-19

Verlag: Springer Singapore

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Abstract

The ongoing COVID-19 pandemic emerged as one of the biggest challenges of recent times. Efforts have been made from different corners of the research community to understand different dimensions of the disease. Some theoretical works have reported that disease becomes severe in the presence of environmental pollution. In this work, we propose a nonlinear mathematical model to study the influence of air pollution on the dynamics of the disease. The basic reproduction number plays a vital role in predicting the future of an epidemic. Therefore, we obtain the expression of the basic reproduction number and performed a detailed sensitivity and uncertainty analysis. The values of partial rank correlation coefficients (PRCC) have been calculated corresponding to six critical parameters. The positive values of PRCC for pollution-related parameters depicts that pollution enhances the chances of a rapid spread of COVID-19.

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Vorheriges Kapitel Global Stability Analysis Through Graph Theory for Smartphone Usage During COVID-19 Pandemic
Nächstes Kapitel Bio-waste Management During COVID-19
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Metadaten
Titel
Modelling and Sensitivity Analysis of COVID-19 Under the Influence of Environmental Pollution
verfasst von
Nitin K Kamboj
Sangeeta Sharma
Sandeep Sharma
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Mathematical Analysis for Transmission of COVID-19

Print ISBN: 978-981-336-263-5

Electronic ISBN: 978-981-336-264-2

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-33-6264-2_16

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