Trending Now: Using Social Media to Predict and Track Disease Outbreaks
Environmental Health PerspectivesPublished 30 December 2011Open access
Charles W. Schmidt
Citations133
SJR quartileQ1
SJR score2.57
SNIP1.98
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Social media, cell phones, and other communication modes have opened up a two-way street in health research, supplying not just a portal for delivering information to the public but also a channel by which people reveal their concerns, locations, and physical movements from one place to another.
Keywords
Social SciencesMedicine
NatureDetecting influenza epidemics using search engine query data
4,406 Citations2008Jeremy Ginsberg, Matthew H. Mohebbi +4 more
A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
PLoS ONEThe Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic
1,275 Citations2011Alessio Signorini, Alberto M. Segre +1 more
The use of information embedded in the Twitter stream is examined to (1) track rapidly-evolving public sentiment with respect to H1N1 or swine flu, and (2) track and measure actual disease activity.
PLoS MedicineImproved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti
635 Citations2011Linus Bengtsson, Xin Lü +3 more
This work examines the use of mobile phone positioning data to monitor population movements during disasters and outbreaks, finding that reports on population movements can be generated within twelve hours of receiving data.
PLoS ONESocial Network Sensors for Early Detection of Contagious Outbreaks
545 Citations2010Nicholas A. Christakis, James H. Fowler
This paper proposes an alternative strategy that does not require ascertainment of global network structure, namely, simply monitoring the friends of randomly selected individuals, which could in principle be generalized to other biological, psychological, informational, or behavioral contagions that spread in networks.
ACM Transactions on Intelligent Systems and TechnologyNowcasting Events from the Social Web with Statistical Learning
216 Citations2012Vasileios Lampos, Nello Cristianini
A general methodology for inferring the occurrence and magnitude of an event or phenomenon by exploring the rich amount of unstructured textual information on the social part of the Web by investigating two case studies of geo-tagged user posts on the microblogging service of Twitter.
PLoS ONEMonitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends
149 Citations2011Justin R. Ortiz, Hong Zhou +4 more
It is demonstrated that while Google Flu Trends is highly correlated with rates of ILI, it has a lower correlation with surveillance for laboratory-confirmed influenza.