Coronavirus SARS‐CoV‐2: filtering fact from fiction in the infodemic

Ruffell, Daniela

doi:10.1002/1873-3468.13784

Cited by 10 publications

(14 citation statements)

References 27 publications

(19 reference statements)

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“…The World Health Organization has even coined the portmanteau "infodemic" to describe the phenomenon of potentially misleading information overload. 4 As of July 27, 2020, the PDB has amassed 298 structural models of SARS-CoV-2-related macromolecules, including proteins and RNA fragments. Structure-based drug design depends on such molecular models, especially of complexes with candidate drugs slated for further development.…”

Section: Introductionmentioning

confidence: 99%

“…This approach delivers the latest results to scientists that develop treatments and vaccines without any delay but at the cost of elevated risk of mistakes and errors, which can mislead scientists performing follow‐up research and misinform the general public. The World Health Organization has even coined the portmanteau “infodemic” to describe the phenomenon of potentially misleading information overload 4 …”

Section: Introductionmentioning

confidence: 99%

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Covid‐19.bioreproducibility.org: A web resource for SARS‐CoV‐2‐related structural models

et al. 2020

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The COVID‐19 pandemic has triggered numerous scientific activities aimed at understanding the SARS‐CoV‐2 virus and ultimately developing treatments. Structural biologists have already determined hundreds of experimental X‐ray, cryo‐EM, and NMR structures of proteins and nucleic acids related to this coronavirus, and this number is still growing. To help biomedical researchers, who may not necessarily be experts in structural biology, navigate through the flood of structural models, we have created an online resource, covid19.bioreproducibility.org, that aggregates expert‐verified information about SARS‐CoV‐2‐related macromolecular models. In this paper, we describe this web resource along with the suite of tools and methodologies used for assessing the structures presented therein. This article is protected by copyright. All rights reserved.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Covid‐19.bioreproducibility.org: A web resource for SARS‐CoV‐2‐related structural models

et al. 2020

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“…Another recent study compared 160 genomes from different countries and suggested the existence of three subtypes, A, B and C, with differences in geographic distribution and prevalence [ 122 ]. However, such studies have been criticized for possible sampling biases and misinterpretation of results [ 123 , 124 , 125 , 126 ], stressing that caution should be taken when drawing conclusions from genomic analyses. Limited or inappropriate sampling can bias the inference of transmission networks, potentially hiding introduction events and intermediate states and resulting in inaccurate mutation rate estimates [ 111 ].…”

Section: Molecular Epidemiologymentioning

confidence: 99%

Betacoronavirus Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic

Llanes

Restrepo

Caballero

et al. 2020

IJMS

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In the 21st century, three highly pathogenic betacoronaviruses have emerged, with an alarming rate of human morbidity and case fatality. Genomic information has been widely used to understand the pathogenesis, animal origin and mode of transmission of coronaviruses in the aftermath of the 2002–2003 severe acute respiratory syndrome (SARS) and 2012 Middle East respiratory syndrome (MERS) outbreaks. Furthermore, genome sequencing and bioinformatic analysis have had an unprecedented relevance in the battle against the 2019–2020 coronavirus disease 2019 (COVID-19) pandemic, the newest and most devastating outbreak caused by a coronavirus in the history of mankind. Here, we review how genomic information has been used to tackle outbreaks caused by emerging, highly pathogenic, betacoronavirus strains, emphasizing on SARS-CoV, MERS-CoV and SARS-CoV-2. We focus on shared genomic features of the betacoronaviruses and the application of genomic information to phylogenetic analysis, molecular epidemiology and the design of diagnostic systems, potential drugs and vaccine candidates.

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“…It is possible that the intermediate host was a third species where CoVs from bats and pangolins underwent recombination. 14,15 As mutations and genetic recombinations are prevalent among beta-CoVs, these viruses exhibit a high genetic diversity particularly in bats where they are non-pathogenic and thus can maintain and propagate. With humans increasingly encroaching wildlife habitats, expanding livestock populations, razing forests for development or agriculture, without mentioning the wildlife-livestock-human interface in wet markets, there is a constant and significant zoonotic disease threat, with pandemic potential, particularly from viruses.…”

Section: Phylogeny and Zoonosis Emergencementioning

confidence: 99%

“…As to SARS‐CoV‐2, pangolins have been suggested as intermediate hosts 12,13 but so far, the evidence has been inconclusive. It is possible that the intermediate host was a third species where CoVs from bats and pangolins underwent recombination 14,15 . As mutations and genetic recombinations are prevalent among beta‐CoVs, these viruses exhibit a high genetic diversity particularly in bats where they are non‐pathogenic and thus can maintain and propagate.…”

Section: Phylogeny and Zoonosis Emergencementioning

confidence: 99%

SARS‐CoV‐2 multifaceted interaction with human host. Part I: What we have learnt and done so far, and the still unknown realities

Delcuve

Lakowski

Su³

et al. 2020

IUBMB Life

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SARS-CoV-2, the causing agent of the ongoing COVID-19 pandemic, is a betacoronavirus which has 80% genetic homology with SARS-CoV, but displays increased virulence and transmissibility. Initially, SARS-CoV-2 was considered a respiratory virus generally causing a mild disease, only severe and fatal in the elderly and individuals with underlying conditions. Severe illnesses and fatalities were attributed to a cytokine storm, an excessive response from the host immune system. However, with the number of infections over 10 millions and still soaring, the insidious and stealthy nature of the virus has emerged, as it causes a vast array of diverse unexpected symptoms among infected individuals, including the young and healthy. It has become evident that besides infecting the respiratory tract, SARS-CoV-2 can affect many organs, possibly through the infection of the endothelium. This review presents an overview of our learning curve with the novel virus emergence, transmission, pathology, biological properties and host-interactions. It also briefly describes remedial measures taken until an effective vaccine is available, that is nonpharmaceutical interventions to reduce the viral spread and the repurposing of existing drugs, approved or in development for other conditions to eliminate the virus or mitigate the cytokine storm.

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Coronavirus SARS‐CoV‐2: filtering fact from fiction in the infodemic

Cited by 10 publications

References 27 publications

Covid‐19.bioreproducibility.org: A web resource for SARS‐CoV‐2‐related structural models

Covid‐19.bioreproducibility.org: A web resource for SARS‐CoV‐2‐related structural models

Betacoronavirus Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic

SARS‐CoV‐2 multifaceted interaction with human host. Part I: What we have learnt and done so far, and the still unknown realities

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