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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

TCR (Google Scholar): 4.11, TCR (Crossref): 13, g-index: 90, RJIF: 8.69

Peer Reviewed Journal

Vol. 10, Issue 10, Part C (2024)

Mathematical modelling of infectious disease transmission (COVID-19): Impact of media awareness campaigns and migration

Mathematical modelling of infectious disease transmission (COVID-19): Impact of media awareness campaigns and migration

Author(s)
Krishna Gopal Varshney and Pushpendra Kumar
Abstract
The COVID-19 pandemic has brought to light the importance of therapies that do not involve the use of pharmaceuticals, such as media awareness campaigns and migration control, in mitigating disease spread. Within the confines of this study, a compartmental mathematical model is created in order to evaluate the influence that migration and media awareness have on the dynamics of the transmission of the Covid-19 virus. The model incorporates compartments for susceptible individuals (both aware and unaware), exposed, infected, recovered, and quarantined populations. By integrating parameters representing media influence and migration rates, it is possible to gain insights into the efficacy of awareness efforts by using this approach and the impact of population movement on disease propagation. The essential roles that media awareness and migration play in regulating the spread of COVID-19 are demonstrated by numerical simulations that are based on measurements taken from the actual world.
Pages: 213-219  |  261 Views  105 Downloads


International Journal of Applied Research
How to cite this article:
Krishna Gopal Varshney, Pushpendra Kumar. Mathematical modelling of infectious disease transmission (COVID-19): Impact of media awareness campaigns and migration. Int J Appl Res 2024;10(10):213-219. DOI: 10.22271/allresearch.2024.v10.i10c.12763
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