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Analysis of Twitter Users’ Sharing of Official New York Storm Response Messages

Analysis of Twitter Users’ Sharing of Official New York Storm Response Messages

For the Sandy storm we collected tweets using custom software. For the Nemo blizzard, we collected tweets using cached version of the search results page of Twitter.com.

Nicholas Genes, Michael Chary, Kevin Chason

Med 2 0 2014;3(1):e1

Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting

Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting

We decided to study the Sandy Hook Elementary Shooting incident that occurred on December 14, 2012, in Newton Connecticut to determine whether such data can be used to better understand the public’s reactions to such an event.

Nir Menachemi, Saurabh Rahurkar, Mandar Rahurkar

JMIR Public Health Surveill 2017;3(1):e12

Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

There were more cross-sectional (k=15) [54,68,81,83,87,88,91,92,95] than longitudinal studies (k=11) [58,63,67,69,72,76,78,88]. Longitudinal studies ranged from 1 month to 6 months (see Multimedia Appendix 2).

Debaleena Chattopadhyay, Tengteng Ma, Hasti Sharifi, Pamela Martyn-Nemeth

J Med Internet Res 2020;22(7):e18839

Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study

Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study

For reference, this query fraction is 35% and 48% greater than the spikes occurring after the mass shootings in Sandy Hook, Connecticut in 2012 and in Parkland, Florida in 2018, respectively (Figure 1A).

Theodore L Caputi, John W Ayers, Mark Dredze, Nicholas Suplina, Sarah Burd-Sharps

JMIR Public Health Surveill 2020;6(2):e19369

Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis

Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis

length, k (%)6 months or longer3 (15)3-5 months3 (15)Less than 3 months14 (70)Retention, k (%)Withdrawal/drop-outs reported20 (100)Attrition, cases lost to follow-up considered20 (100)Data collection, k (%)Anonymous1 (5)Collateral verification1 (5)Used objective

Lori A. J. Scott-Sheldon, Ryan C. Lantini, Ernestine G. Jennings, Herpreet Thind, Rochelle K. Rosen, Elena Salmoirago-Blotcher, Beth C. Bock

JMIR Mhealth Uhealth 2016;4(2):e49