Literature DB >> 33605305

Impact of super-spreaders on COVID-19: systematic review.

Ana Paula Schmitz Rambo1, Laura Faustino Gonçalves1, Ana Inês Gonzáles2, Cassiano Ricardo Rech3, Karina Mary de Paiva4, Patrícia Haas4.   

Abstract

BACKGROUND: Spreader and super-spreader are terms that refer to people who have greater potential for disease transmission, to infect other people.
OBJECTIVE: To present scientific evidence regarding the impact of COVID-19 spreaders. DESIGN AND
SETTING: Systematic review of the literature (using the PRISMA framework), performed at the Federal University of Santa Catarina (UFSC), Florianópolis (SC), Brazil.
METHODS: A search for articles was carried out in the SciELO, LILACS, PubMed, Scopus, Bireme and Web of Science databases. A search for gray literature was also conducted via Google Scholar. There was no restriction regarding place or language, and the search covered the period from January 2010 to August 2020. Studies were selected based on a combination of descriptors from the Medical Subject Headings (MeSH).
RESULTS: Isolated cases of people diagnosed with COVID-19 who were classified as super-spreaders were found. They had been classified thus because they may have had greater potential for infecting other individuals. However, greater numbers of interventions are needed in order to identify and manage COVID-19 cases. There is little evidence regarding this detection, which further hinders recognition and understanding of super-spreading events.
CONCLUSION: The scientific community needs greater depth of evaluation and understanding of how these patients physiologically develop the ability to propagate COVID-19 more intensely. A simpler way of tracking them is also necessary, given that many infected people are asymptomatic. Many patients also have mild symptoms, suggesting that these individuals could also be classified as possible COVID-19 spreaders.PROSPERO Number: ID 217874 (submitted for publication and is being assessed by the editorial team).

Entities:  

Year:  2021        PMID: 33605305     DOI: 10.1590/1516-3180.2020.0618.R1.10122020

Source DB:  PubMed          Journal:  Sao Paulo Med J        ISSN: 1516-3180            Impact factor:   1.044


  4 in total

1.  Modeling the dynamics of coronavirus with super-spreader class: A fractal-fractional approach.

Authors:  Xiao-Ping Li; Saif Ullah; Hina Zahir; Ahmed Alshehri; Muhammad Bilal Riaz; Basem Al Alwan
Journal:  Results Phys       Date:  2022-01-15       Impact factor: 4.476

2.  COVID-19 Recovery Patterns Across Alpha (B.1.1.7) and Delta (B.1.617.2) Variants of SARS-CoV-2.

Authors:  Nitya Kumar; Suha Quadri; Abdulla Ismaeel AlAwadhi; Manaf AlQahtani
Journal:  Front Immunol       Date:  2022-02-14       Impact factor: 7.561

3.  Identifying asymptomatic cases during the mass COVID-19 vaccination campaign: insights and implications for policy makers.

Authors:  Francesco Chirico; Gabriella Nucera; Olayinka Ilesanmi; Aanuoluwapo Afolabi; Michal Pruc; Lukasz Szarpak
Journal:  Future Virol       Date:  2021-12-15       Impact factor: 1.831

4.  Age Dependent Epidemic Modeling of COVID-19 Outbreak in Kuwait, France, and Cameroon.

Authors:  Kayode Oshinubi; Sana S Buhamra; Noriah M Al-Kandari; Jules Waku; Mustapha Rachdi; Jacques Demongeot
Journal:  Healthcare (Basel)       Date:  2022-03-04
  4 in total

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