Cited by 1,610SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesViral Infections and Outbreaks Research

The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?

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Peeri, Noah C, Shrestha, Nistha, Rahman, Md Siddikur, Zaki, Rafdzah, Tan, Zhengqi, Bibi, Saana, Baghbanzadeh, Mahdi, Aghamohammadi, Nasrin +2 more·2020·International Journal of Epidemiology

Abstract

OBJECTIVES: To provide an overview of the three major deadly coronaviruses and identify areas for improvement of future preparedness plans, as well as provide a critical assessment of the risk factors and actionable items for stopping their spread, utilizing lessons learned from the first two deadly coronavirus outbreaks, as well as initial reports from the current novel coronavirus (COVID-19) epidemic in Wuhan, China. METHODS: Utilizing the Centers for Disease Control and Prevention (CDC, USA) website, and a comprehensive review of PubMed literature, we obtained information regarding clinical signs and symptoms, treatment and diagnosis, transmission methods, protection methods and risk factors for Middle East respiratory syndrome (MERS), severe acute respiratory syndrome (SARS) and COVID-19. Comparisons between the viruses were made. RESULTS: Inadequate risk assessment regarding the urgency of the situation, and limited reporting on the virus within China has, in part, led to the rapid spread of COVID-19 throughout mainland China and into proximal and distant countries. Compared with SARS and MERS, COVID-19 has spread more rapidly, due in part to increased globalization and the focus of the epidemic. Wuhan, China is a large hub connecting the North, South, East and West of China via railways and a major international airport. The availability of connecting flights, the timing of the outbreak during the Chinese (Lunar) New Year, and the massive rail transit hub located in Wuhan has enabled the virus to perforate throughout China, and eventually, globally. CONCLUSIONS: We conclude that we did not learn from the two prior epidemics of coronavirus and were ill-prepared to deal with the challenges the COVID-19 epidemic has posed. Future research should attempt to address the uses and implications of internet of things (IoT) technologies for mapping the spread of infection.

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  • Recent studies suggest that the internet of things and related technologies such as AI, big data analytics, and next-generation 5G communication can play a vital role in preventing the spread of infectious diseases such as COVID-19.

    “In addition, recent studies suggest that the internet of things (IoT) and related technologies such as AI, Big data analytics, next-generation 5G communication can play a vital role in preventing the spread of infectious diseases such as COVID-19.”

    From IoMT amid COVID-19 pandemic: Application, architecture, technology, and security (2021) · cites this paper as Peeri et al., 2020

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  1. Phil Trans R Soc Lond B 2004;359:1091-105.

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Authors
Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Baghbanzadeh, M., Aghamohammadi, N., Zhang, W., & Haque, U.
Affiliations
  • University of North Texas Health Science Center (US)
  • Begum Rokeya University (BD)
  • University of Malaya (MY)
  • National University of Medical Sciences (PK)
  • Ofogh Koorosh Chain Stores (IR)
  • Center for Disease Surveillance and Research, Center for Disease Control and Prevention of PLA, Beijing, People's Republic of China
Corresponding author
Peeri, Noah C
Venue
International Journal of Epidemiology
Published
2020-02-22
Volume
49
Issue
3
Pages
717-726
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W3007866917
Cited by
1,610
References
28
Citations by year
2026: 19 · 2025: 41 · 2024: 80 · 2023: 135 · 2022: 249 · 2021: 501 · 2020: 582 · 2018: 2
FWCI
47.85
Type
journal article
Language
en
Open access
Locations
  • International Journal of Epidemiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Murdoch University Research Portal (submittedVersion)
Funders
National Key Research and Development Project of China (2019YFC1200500, 2019YFC1200501)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
Keywords
SARS, MERS, COVID-19 pandemic, coronavirus outbreak, pandemic preparedness, lessons learned, risk factors, transmission routes, globalization, Wuhan, Lunar New Year, Internet of Things
MeSH terms
Global Burden of Disease, Betacoronavirus, COVID-19, SARS-CoV-2, China, Disease Outbreaks, Humans, Pneumonia, Viral, Global Health, Coronavirus, Coronavirus Infections, Severe Acute Respiratory Syndrome, Pandemics

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