Praemonitus praemunitus: can we forecast and prepare for future viral disease outbreaks?

Author:

Sessions Zoe1,Bobrowski Tesia1,Martin Holli-Joi1,Beasley Jon-Michael T1,Kothari Aneri1,Phares Trevor12,Li Michael1,Alves Vinicius M1,Scotti Marcus T3,Moorman Nathaniel J4,Baric Ralph5,Tropsha Alexander1ORCID,Muratov Eugene N1ORCID

Affiliation:

1. Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina , 301 Pharmacy Ln, Chapel Hill, NC 27599 , United States

2. School of Chemistry, University of Louisville , 2320 S Brook St, Louisville, KY 40208 , United States

3. Department of Pharmaceutical Sciences, Federal University of Paraiba , Campus I Lot. Cidade Universitaria, PB, 58051-900 , Brazil

4. Department of Microbiology and Immunology, University of North Carolina , 116 Manning Drive, Chapel Hill, NC 27599 , United States

5. Department of Epidemiology, University of North Carolina , 401 Pittsboro St, Chapel Hill, NC 27599 , United States

Abstract

Abstract Understanding the origins of past and present viral epidemics is critical in preparing for future outbreaks. Many viruses, including SARS-CoV-2, have led to significant consequences not only due to their virulence, but also because we were unprepared for their emergence. We need to learn from large amounts of data accumulated from well-studied, past pandemics and employ modern informatics and therapeutic development technologies to forecast future pandemics and help minimize their potential impacts. While acknowledging the complexity and difficulties associated with establishing reliable outbreak predictions, herein we provide a perspective on the regions of the world that are most likely to be impacted by future outbreaks. We specifically focus on viruses with epidemic potential, namely SARS-CoV-2, MERS-CoV, DENV, ZIKV, MAYV, LASV, noroviruses, influenza, Nipah virus, hantaviruses, Oropouche virus, MARV, and Ebola virus, which all require attention from both the public and scientific community to avoid societal catastrophes like COVID-19. Based on our literature review, data analysis, and outbreak simulations, we posit that these future viral epidemics are unavoidable, but that their societal impacts can be minimized by strategic investment into basic virology research, epidemiological studies of neglected viral diseases, and antiviral drug discovery.

Funder

NIH

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology

Reference219 articles.

1. Mayaro: an emerging viral threat?;Acosta-Ampudia;Emerg Microbes Infect,2018

2. FluSense;Al Hossain;Proc ACM Interact Mob Wearable Ubiquitous Technol,2020

3. Building predictive models for MERS-CoV infections using data mining techniques;Al-Turaiki;J Infect Publ Health,2016

4. The science of the host–virus network;Albery;Nat Microbiol,2021

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