Evidence map›Paper›PMID 34174535›Full record

SynthesisJournal of infection and public health2021

Meta-analysis and comprehensive study of coronavirus outbreaks: SARS, MERS and COVID-19.

Engin Berber, Deepak Sumbria, Nurettin Çanakoğlu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of infection and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2023
    Article
  3. Article
  4. Article
  5. Observational
  6. Surgical safety in the COVID-19 era: present and future considerations.Annals of surgical treatment and research · 2022
    Review
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Engin BerberUniversity of Tennessee, Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, Knoxville, TN, USA; Erciyes University, College of Veterinary Medicine, Department of Virology, Kayseri, Turkey. Electronic address: eberber@utk.edu.
Deepak SumbriaUniversity of Tennessee, Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, Knoxville, TN, USA; Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Department of Silviculture and Agroforestry, College of Forestry, Solan, Himachal Pradesh, India.
Nurettin ÇanakoğluMuğla Sıtkı Koçman University, Milas Faculty of Veterinary Science, Department of Virology, Muğla, Turkey.
Dr. Yashwant Singh Parmar University of Horticulture and Forestry · INMuğla University · TRUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZoonotic coronaviruses have caused several endemic and pandemic situations around the world. SARS caused the first epidemic alert at the beginning of this century, followed by MERS. COVID-19 appeared to be highly contagious, with human-to-human transmission by aerosol droplets, and reached nearly all countries around the world. A plethora of studies were performed, with reports being published within a short period of time by scientists and medical physicians. It has been difficult to find the relevant data to create an overview of the situation according to studies from accumulated findings and reports. In the present study we aimed to perform a comprehensive study in the context of the case fatality ratios (CFRs) of three major human Coronavirus outbreaks which occurred during the first twenty years of 21st century.

methodsIn this study, we performed meta-analyses on SARS, MERS and COVID-19 outbreak events from publicly available records. Study analyses were performed with the help of highly reputable scientific databases such as PubMed, WOS and Scopus to evaluate and present current knowledge on zoonotic coronavirus outbreaks, starting from 2000 to the end of 2020.

resultsA total of 250,194 research studies and records were identified with specific keywords and synonyms for the three viruses in order to cover all publications. In the end, 41 records were selected and included after applying several exclusion and inclusion criteria on identified datasets. SARS was found to have a nearly 11% case fatality ratio (CFR), which means the estimated number of deaths as a proportion of confirmed positive cases; Taiwan was the country most affected by the SARS outbreak based on the CFR analysis. MERS had CFRs of 35.8 and 26 in Saudi Arabia during the 2012 and 2015 outbreaks, respectively. COVID-19 resulted in a 2.2 CFR globally, and the USA reported the highest mortality ratio in the world in the end of first year of COVID-19 pandemic.

conclusionSome members of the Coronaviridae family can cause highly contagious and devastating infections among humans. Within the last two decades, the whole world has witnessed several deadly emerging infectious diseases, which are most commonly zoonotic in nature. We conclude that pre-existing immunity during the early stages of a pandemic might be important, but case control and management strategies should be improved to decrease CFRs. Finally, we have addressed several concerns in relation to outbreak events in this study.

Indexed as

COVID-19PandemicsDisease OutbreaksHumansSARS-CoV-2Saudi ArabiaTaiwanCOVID-19MERSMeta-analysisOutbreakSARS

Identifiers

PMID34174535
PMCPMC8214867
OpenAlexW3171454962

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.