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Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832151/ https://www.ncbi.nlm.nih.gov/pubmed/33328043 http://dx.doi.org/10.1016/S2589-7500(20)30139-4 |
| _version_ | 1783641772357844992 |
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| author | De Ridder, David Sandoval, José Vuilleumier, Nicolas Stringhini, Silvia Spechbach, Hervé Joost, Stéphane Kaiser, Laurent Guessous, Idris |
| author_facet | De Ridder, David Sandoval, José Vuilleumier, Nicolas Stringhini, Silvia Spechbach, Hervé Joost, Stéphane Kaiser, Laurent Guessous, Idris |
| author_sort | De Ridder, David |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7832151 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | The Author(s). Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-78321512021-01-26 Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution De Ridder, David Sandoval, José Vuilleumier, Nicolas Stringhini, Silvia Spechbach, Hervé Joost, Stéphane Kaiser, Laurent Guessous, Idris Lancet Digit Health Comment The Author(s). Published by Elsevier Ltd. 2020-08 2020-06-16 /pmc/articles/PMC7832151/ /pubmed/33328043 http://dx.doi.org/10.1016/S2589-7500(20)30139-4 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 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 | Comment De Ridder, David Sandoval, José Vuilleumier, Nicolas Stringhini, Silvia Spechbach, Hervé Joost, Stéphane Kaiser, Laurent Guessous, Idris Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title | Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title_full | Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title_fullStr | Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title_full_unstemmed | Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title_short | Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution |
| title_sort | geospatial digital monitoring of covid-19 cases at high spatiotemporal resolution |
| topic | Comment |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832151/ https://www.ncbi.nlm.nih.gov/pubmed/33328043 http://dx.doi.org/10.1016/S2589-7500(20)30139-4 |
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