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Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494314/ https://www.ncbi.nlm.nih.gov/pubmed/33074108 http://dx.doi.org/10.1016/j.puhe.2020.09.005 |
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| author | Zhang, T. |
| author_facet | Zhang, T. |
| author_sort | Zhang, T. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7494314 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-74943142020-09-17 Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest Zhang, T. Public Health Letter to the Editor The Royal Society for Public Health. Published by Elsevier Ltd. 2020-12 2020-09-16 /pmc/articles/PMC7494314/ /pubmed/33074108 http://dx.doi.org/10.1016/j.puhe.2020.09.005 Text en © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. 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 Zhang, T. Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title | Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title_full | Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title_fullStr | Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title_full_unstemmed | Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title_short | Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest |
| title_sort | integrating geographic information system technique with google trends data to analyse covid-19 severity and public interest |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494314/ https://www.ncbi.nlm.nih.gov/pubmed/33074108 http://dx.doi.org/10.1016/j.puhe.2020.09.005 |
| work_keys_str_mv | AT zhangt integratinggeographicinformationsystemtechniquewithgoogletrendsdatatoanalysecovid19severityandpublicinterest |