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

IF 10.1 2区 生物学 Q1 MICROBIOLOGY
Zoe Sessions, Tesia Bobrowski, Holli-Joi Martin, Jon-Michael T Beasley, Aneri Kothari, Trevor Phares, Michael Li, Vinicius M Alves, Marcus T Scotti, Nathaniel J Moorman, Ralph Baric, Alexander Tropsha, Eugene N Muratov
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引用次数: 0

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.

Praemonitus praemunitus:我们能预测和准备未来的病毒性疾病爆发吗?
了解过去和现在病毒流行的起源对于为未来的疫情做好准备至关重要。包括严重急性呼吸系统综合征冠状病毒2型在内的许多病毒已经导致了重大后果,这不仅是因为它们的毒力,还因为我们对它们的出现没有做好准备。我们需要从经过充分研究的过去流行病中积累的大量数据中学习,并利用现代信息学和治疗开发技术来预测未来的流行病,并帮助将其潜在影响降至最低。在承认建立可靠的疫情预测的复杂性和困难的同时,我们在这里提供了世界上最有可能受到未来疫情影响的地区的视角。我们特别关注具有流行潜力的病毒,即SARS-CoV-2、MERS-CoV、DENV、ZIKV、MAYV、LASV、诺如病毒、流感、尼帕病毒、汉坦病毒、奥罗普病毒、MARV和埃博拉病毒,所有这些都需要公众和科学界的关注,以避免新冠肺炎等社会灾难。根据我们的文献综述、数据分析和疫情模拟,我们认为这些未来的病毒流行病是不可避免的,但通过对基础病毒学研究、被忽视的病毒性疾病的流行病学研究和抗病毒药物发现的战略投资,可以将其社会影响降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
FEMS microbiology reviews
FEMS microbiology reviews 生物-微生物学
CiteScore
17.50
自引率
0.90%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Title: FEMS Microbiology Reviews Journal Focus: Publishes reviews covering all aspects of microbiology not recently surveyed Reviews topics of current interest Provides comprehensive, critical, and authoritative coverage Offers new perspectives and critical, detailed discussions of significant trends May contain speculative and selective elements Aimed at both specialists and general readers Reviews should be framed within the context of general microbiology and biology Submission Criteria: Manuscripts should not be unevaluated compilations of literature Lectures delivered at symposia must review the related field to be acceptable
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