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The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data”
| Autores principales: | , , , , , |
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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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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192113/ https://www.ncbi.nlm.nih.gov/pubmed/32360944 http://dx.doi.org/10.1016/j.ijid.2020.04.071 |
| _version_ | 1783527964202237952 |
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| author | Ahmadi, Ali Kheiril, Soleiman Mohammadian-Hafshejani, Abdollah Raeisi, Hadi Mosavi, Masoumeh Sharifi, Hamid |
| author_facet | Ahmadi, Ali Kheiril, Soleiman Mohammadian-Hafshejani, Abdollah Raeisi, Hadi Mosavi, Masoumeh Sharifi, Hamid |
| author_sort | Ahmadi, Ali |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7192113 |
| 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-71921132020-04-30 The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” Ahmadi, Ali Kheiril, Soleiman Mohammadian-Hafshejani, Abdollah Raeisi, Hadi Mosavi, Masoumeh Sharifi, Hamid Int J Infect Dis Letter to the Editor The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-06 2020-04-30 /pmc/articles/PMC7192113/ /pubmed/32360944 http://dx.doi.org/10.1016/j.ijid.2020.04.071 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 | Letter to the Editor Ahmadi, Ali Kheiril, Soleiman Mohammadian-Hafshejani, Abdollah Raeisi, Hadi Mosavi, Masoumeh Sharifi, Hamid The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title | The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title_full | The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title_fullStr | The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title_full_unstemmed | The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title_short | The accuracy of “Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data” |
| title_sort | accuracy of “preliminary estimation of the novel coronavirus disease (covid-19) cases in iran: a modelling analysis based on overseas cases and air travel data” |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192113/ https://www.ncbi.nlm.nih.gov/pubmed/32360944 http://dx.doi.org/10.1016/j.ijid.2020.04.071 |
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