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A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter
The rapidly evolving outbreak of COVID-19 presents challenges for actively monitoring its spread. In this study, we assessed a social media mining approach for automatically analyzing the chronological and geographical distribution of users in the United States reporting personal information related...
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| Опубликовано в: : | medRxiv |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Cold Spring Harbor Laboratory
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7276035/ https://ncbi.nlm.nih.gov/pubmed/32511608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.04.19.20069948 |
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