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Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis

Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis

Besides our study, this Bayesian technique has been used only once for influenza surveillance using ILI visits to emergency departments [43], which is unlike our analysis in that we used Web-based data.Figure 1Simplified equation by Barry and Hartigan.Bayesian

J Danielle Sharpe, Richard S Hopkins, Robert L Cook, Catherine W Striley

JMIR Public Health Surveill 2016;2(2):e161

Remediating Reduced Autobiographical Memory in Healthy Older Adults With Computerized Memory Specificity Training (c-MeST): An Observational Before-After Study

Remediating Reduced Autobiographical Memory in Healthy Older Adults With Computerized Memory Specificity Training (c-MeST): An Observational Before-After Study

The results of this study support the idea that mere memory specificity trials are sufficient to improve AMS, which is in line with previous examinations of c-MeST in the context of depression ([21] and K Martens, MSc, TJ Barry, PhD, K Takano, PhD, P Onghena

Kris Martens, Keisuke Takano, Tom J Barry, Jolien Goedleven, Louise Van den Meutter, Filip Raes

J Med Internet Res 2019;21(5):e13333

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

The second most important will be communication.This evocative sentence was written in May 2009 by John M Barry [1] in the early phases of what would soon become the 2009 H1N1 pandemic.

Nicolò Gozzi, Michele Tizzani, Michele Starnini, Fabio Ciulla, Daniela Paolotti, André Panisson, Nicola Perra

J Med Internet Res 2020;22(10):e21597