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

Copyright © 2024. Published by Elsevier B.V..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:905

Enthalten in:

Gene - 905(2024) vom: 05. Feb., Seite 148174

Sprache:

Englisch

Beteiligte Personen:

Aljabali, Alaa A A [VerfasserIn]
Obeid, Mohammad A [VerfasserIn]
El-Tanani, Mohamed [VerfasserIn]
Mishra, Vijay [VerfasserIn]
Mishra, Yachana [VerfasserIn]
Tambuwala, Murtaza M [VerfasserIn]

Links:

Volltext

Themen:

Computational biology
Epidemiology
Genetics
Genomics of coronaviruses
Journal Article
Viral transmission dynamics
Virology

Anmerkungen:

Date Completed 27.02.2024

Date Revised 27.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.gene.2024.148174

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367328712