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Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics.

Authors :
Aljabali AAA
Obeid MA
El-Tanani M
Mishra V
Mishra Y
Tambuwala MM
Source :
Gene [Gene] 2024 May 05; Vol. 905, pp. 148174. Date of Electronic Publication: 2024 Jan 18.
Publication Year :
2024

Abstract

The intersection of mathematical modeling, nanotechnology, and epidemiology marks a paradigm shift in our battle against infectious diseases, aligning with the focus of the journal on the regulation, expression, function, and evolution of genes in diverse biological contexts. This exploration navigates the intricate dance of viral transmission dynamics, highlighting mathematical models as dual tools of insight and precision instruments, a theme relevant to the diverse sections of Gene. In the context of virology, ethical considerations loom large, necessitating robust frameworks to protect individual rights, an aspect essential in infectious disease research. Global collaboration emerges as a critical pillar in our response to emerging infectious diseases, fortified by the predictive prowess of mathematical models enriched by nanotechnology. The synergy of interdisciplinary collaboration, training the next generation to bridge mathematical rigor, biology, and epidemiology, promises accelerated discoveries and robust models that account for real-world complexities, fostering innovation and exploration in the field. In this intricate review, mathematical modeling in viral transmission dynamics and epidemiology serves as a guiding beacon, illuminating the path toward precision interventions, global preparedness, and the collective endeavor to safeguard human health, resonating with the aim of advancing knowledge in gene regulation and expression.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1879-0038
Volume :
905
Database :
MEDLINE
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
38242374
Full Text :
https://doi.org/10.1016/j.gene.2024.148174