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The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs
The World Health Organization (WHO) recognised variant B.1.1.529 of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a variant of concern, termed “Omicron”, on November 26, 2021. Its diffusion was attributed to its several mutations, which allow promoting its ability to diffuse wo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985523/ https://www.ncbi.nlm.nih.gov/pubmed/36871942 http://dx.doi.org/10.1016/j.envres.2023.115612 |
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author | Anand, Uttpal Pal, Tarun Zanoletti, Alessandra Sundaramurthy, Suresh Varjani, Sunita Rajapaksha, Anushka Upamali Barceló, Damià Bontempi, Elza |
author_facet | Anand, Uttpal Pal, Tarun Zanoletti, Alessandra Sundaramurthy, Suresh Varjani, Sunita Rajapaksha, Anushka Upamali Barceló, Damià Bontempi, Elza |
author_sort | Anand, Uttpal |
collection | PubMed |
description | The World Health Organization (WHO) recognised variant B.1.1.529 of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a variant of concern, termed “Omicron”, on November 26, 2021. Its diffusion was attributed to its several mutations, which allow promoting its ability to diffuse worldwide and its capability in immune evasion. As a consequence, some additional serious threats to public health posed the risk to undermine the global efforts made in the last two years to control the pandemic. In the past, several works were devoted to discussing a possible contribution of air pollution to the SARS-CoV-2 spread. However, to the best of the authors' knowledge, there are still no works dealing with the Omicron variant diffusion mechanisms. This work represents a snapshot of what we know right now, in the frame of an analysis of the Omicron variant spread. The paper proposes the use of a single indicator, commercial trade data, to model the virus spread. It is proposed as a surrogate of the interactions occurring between humans (the virus transmission mechanism due to human-to-human contacts) and could be considered for other diseases. It allows also to explain the unexpected increase in infection cases in China, detected at beginning of 2023. The air quality data are also analyzed to evaluate for the first time the role of air particulate matter (PM) as a carrier of the Omicron variant diffusion. Due to emerging concerns associated with other viruses (such as smallpox-like virus diffusion in Europe and America), the proposed approach seems to be promising to model the virus spreading. |
format | Online Article Text |
id | pubmed-9985523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99855232023-03-06 The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs Anand, Uttpal Pal, Tarun Zanoletti, Alessandra Sundaramurthy, Suresh Varjani, Sunita Rajapaksha, Anushka Upamali Barceló, Damià Bontempi, Elza Environ Res Article The World Health Organization (WHO) recognised variant B.1.1.529 of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a variant of concern, termed “Omicron”, on November 26, 2021. Its diffusion was attributed to its several mutations, which allow promoting its ability to diffuse worldwide and its capability in immune evasion. As a consequence, some additional serious threats to public health posed the risk to undermine the global efforts made in the last two years to control the pandemic. In the past, several works were devoted to discussing a possible contribution of air pollution to the SARS-CoV-2 spread. However, to the best of the authors' knowledge, there are still no works dealing with the Omicron variant diffusion mechanisms. This work represents a snapshot of what we know right now, in the frame of an analysis of the Omicron variant spread. The paper proposes the use of a single indicator, commercial trade data, to model the virus spread. It is proposed as a surrogate of the interactions occurring between humans (the virus transmission mechanism due to human-to-human contacts) and could be considered for other diseases. It allows also to explain the unexpected increase in infection cases in China, detected at beginning of 2023. The air quality data are also analyzed to evaluate for the first time the role of air particulate matter (PM) as a carrier of the Omicron variant diffusion. Due to emerging concerns associated with other viruses (such as smallpox-like virus diffusion in Europe and America), the proposed approach seems to be promising to model the virus spreading. Elsevier Inc. 2023-05-15 2023-03-05 /pmc/articles/PMC9985523/ /pubmed/36871942 http://dx.doi.org/10.1016/j.envres.2023.115612 Text en © 2023 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Anand, Uttpal Pal, Tarun Zanoletti, Alessandra Sundaramurthy, Suresh Varjani, Sunita Rajapaksha, Anushka Upamali Barceló, Damià Bontempi, Elza The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title | The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title_full | The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title_fullStr | The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title_full_unstemmed | The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title_short | The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs |
title_sort | spread of the omicron variant: identification of knowledge gaps, virus diffusion modelling, and future research needs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985523/ https://www.ncbi.nlm.nih.gov/pubmed/36871942 http://dx.doi.org/10.1016/j.envres.2023.115612 |
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