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Crowdsourced predictions for emerging infectious diseases
| Autor principal: | |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262345/ https://www.ncbi.nlm.nih.gov/pubmed/35811295 http://dx.doi.org/10.1016/S2589-7500(22)00131-5 |
| _version_ | 1784742473603481600 |
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| author | The Lancet Digital Health |
| author_facet | The Lancet Digital Health |
| author_sort | The Lancet Digital Health |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9262345 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | The Author(s). Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92623452022-07-08 Crowdsourced predictions for emerging infectious diseases The Lancet Digital Health Lancet Digit Health Editorial The Author(s). Published by Elsevier Ltd. 2022-08 2022-07-07 /pmc/articles/PMC9262345/ /pubmed/35811295 http://dx.doi.org/10.1016/S2589-7500(22)00131-5 Text en © 2022 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 | Editorial The Lancet Digital Health Crowdsourced predictions for emerging infectious diseases |
| title | Crowdsourced predictions for emerging infectious diseases |
| title_full | Crowdsourced predictions for emerging infectious diseases |
| title_fullStr | Crowdsourced predictions for emerging infectious diseases |
| title_full_unstemmed | Crowdsourced predictions for emerging infectious diseases |
| title_short | Crowdsourced predictions for emerging infectious diseases |
| title_sort | crowdsourced predictions for emerging infectious diseases |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262345/ https://www.ncbi.nlm.nih.gov/pubmed/35811295 http://dx.doi.org/10.1016/S2589-7500(22)00131-5 |
| work_keys_str_mv | AT thelancetdigitalhealth crowdsourcedpredictionsforemerginginfectiousdiseases |