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Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak"
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129612/ https://www.ncbi.nlm.nih.gov/pubmed/32088335 http://dx.doi.org/10.1016/j.ijid.2020.02.024 |
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| author | Dhungana, Hom Nath |
| author_facet | Dhungana, Hom Nath |
| author_sort | Dhungana, Hom Nath |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7129612 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-71296122020-04-08 Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" Dhungana, Hom Nath Int J Infect Dis Article The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-05 2020-02-20 /pmc/articles/PMC7129612/ /pubmed/32088335 http://dx.doi.org/10.1016/j.ijid.2020.02.024 Text en © 2020 The Author(s) 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 Dhungana, Hom Nath Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title | Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title_full | Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title_fullStr | Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title_full_unstemmed | Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title_short | Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak" |
| title_sort | comments on "preliminary estimation of the basic reproduction number of novel coronavirus (2019-ncov) in china, from 2019 to 2020: a data-driven analysis in the early phase of the outbreak" |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129612/ https://www.ncbi.nlm.nih.gov/pubmed/32088335 http://dx.doi.org/10.1016/j.ijid.2020.02.024 |
| work_keys_str_mv | AT dhunganahomnath commentsonpreliminaryestimationofthebasicreproductionnumberofnovelcoronavirus2019ncovinchinafrom2019to2020adatadrivenanalysisintheearlyphaseoftheoutbreak |