Author: Dima Kagan; Jacob Moran-Gilad; Michael Fire
Title: Scientometric Trends for Coronaviruses and Other Emerging Viral Infections Document date: 2020_3_20
ID: kh9whqzd_12
Snippet: In 2015, Santillana et al. [21] took the influenza surveillance one step further by fusing multiple data sources. They used five datasets: Twitter, Google Trends, near real-time hospital visit records, FluNearYou, and Google Flu Trends. They used all these data sources with a machine-learning algorithm to predict influenza outbreaks. In 2017, McGough et al. [22] dealt with the problem of significant delays in the publication of official governmen.....
Document: In 2015, Santillana et al. [21] took the influenza surveillance one step further by fusing multiple data sources. They used five datasets: Twitter, Google Trends, near real-time hospital visit records, FluNearYou, and Google Flu Trends. They used all these data sources with a machine-learning algorithm to predict influenza outbreaks. In 2017, McGough et al. [22] dealt with the problem of significant delays in the publication of official government reports about Zika cases. To solve this problem, they used the combined data of Google Trends, Twitter, and the HealthMap surveillance system to predict estimates of Zika cases in Latin America.
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