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A Landscape Analysis on Virus: based on NCBI Database
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Studies indicate that viruses could spread across species, but it is difficult to know when and where such small probability events occur because it is almost impossible to design an observational study on the whole landscape. WHAT IS ADDED BY THIS REPORT? We...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886487/ https://www.ncbi.nlm.nih.gov/pubmed/35265390 http://dx.doi.org/10.46234/ccdcw2022.019 |
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author | Zhao, Mingchen Chen, Jingyuan Wang, Qiang Lu, Zuhong Jia, Zhongwei |
author_facet | Zhao, Mingchen Chen, Jingyuan Wang, Qiang Lu, Zuhong Jia, Zhongwei |
author_sort | Zhao, Mingchen |
collection | PubMed |
description | WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Studies indicate that viruses could spread across species, but it is difficult to know when and where such small probability events occur because it is almost impossible to design an observational study on the whole landscape. WHAT IS ADDED BY THIS REPORT? We did a comprehensive analysis on the National Center for Biotechnology Information database and tried to find the time, place, and host that the viruses stayed in their long evolutionary history. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Public databases are helpful to understand the risk of virus infection in humans and also a cost-effective method for monitoring public health and safety events. |
format | Online Article Text |
id | pubmed-8886487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-88864872022-03-08 A Landscape Analysis on Virus: based on NCBI Database Zhao, Mingchen Chen, Jingyuan Wang, Qiang Lu, Zuhong Jia, Zhongwei China CDC Wkly Preplanned Studies WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Studies indicate that viruses could spread across species, but it is difficult to know when and where such small probability events occur because it is almost impossible to design an observational study on the whole landscape. WHAT IS ADDED BY THIS REPORT? We did a comprehensive analysis on the National Center for Biotechnology Information database and tried to find the time, place, and host that the viruses stayed in their long evolutionary history. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Public databases are helpful to understand the risk of virus infection in humans and also a cost-effective method for monitoring public health and safety events. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022-02-18 /pmc/articles/PMC8886487/ /pubmed/35265390 http://dx.doi.org/10.46234/ccdcw2022.019 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Preplanned Studies Zhao, Mingchen Chen, Jingyuan Wang, Qiang Lu, Zuhong Jia, Zhongwei A Landscape Analysis on Virus: based on NCBI Database |
title | A Landscape Analysis on Virus: based on NCBI Database |
title_full | A Landscape Analysis on Virus: based on NCBI Database |
title_fullStr | A Landscape Analysis on Virus: based on NCBI Database |
title_full_unstemmed | A Landscape Analysis on Virus: based on NCBI Database |
title_short | A Landscape Analysis on Virus: based on NCBI Database |
title_sort | landscape analysis on virus: based on ncbi database |
topic | Preplanned Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886487/ https://www.ncbi.nlm.nih.gov/pubmed/35265390 http://dx.doi.org/10.46234/ccdcw2022.019 |
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