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Dynamic Forecasting of Zika Epidemics Using Google Trends
We developed a dynamic forecasting model for Zika virus (ZIKV), based on real-time online search data from Google Trends (GTs). It was designed to provide Zika virus disease (ZVD) surveillance and detection for Health Departments, and predictive numbers of infection cases, which would allow them suf...
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Опубликовано в: : | PLoS One |
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Главные авторы: | , , , , , , , , |
Формат: | Artigo |
Язык: | Inglês |
Опубликовано: |
Public Library of Science
2017
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Предметы: | |
Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5217860/ https://ncbi.nlm.nih.gov/pubmed/28060809 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0165085 |
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