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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
[article]
2016
arXiv
pre-print
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We introduce an approach that uses supervised temporal topic models to transform large corpora of news articles into temporal topic trends. ...
In retrospective assessments, internet news reports have been shown to capture early reports of unknown infectious disease transmission prior to official laboratory confirmation. ...
The supervised topic model discovers multiple disease topics of interest and their associated temporal trends of prominence in news media. ...
arXiv:1606.00411v1
fatcat:ejcpy2mx45hvhhmmlbkc4nlyl4
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
2017
Scientific Reports
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The supervised topic model discovers multiple disease topics of interest and their associated temporal trends of prominence in news media. ...
We introduce an approach that uses supervised temporal topic models to transform large corpora of news articles into temporal topic trends. ...
The US Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. ...
doi:10.1038/srep40841
pmid:28102319
pmcid:PMC5244405
fatcat:pcz5brdoknhzlhmrnf6diosyei
Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes
2015
Infectious Diseases of Poverty
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The study also endeavoured to look at the correlation between the number of overall and weekly web searches and the number of overall and weekly new cases of Ebola. ...
In terms of the three countries mainly affected by the Ebola epidemic, the correlation between the number of new weekly cases of Ebola and the weekly GT index varied from weak to moderate. ...
His primary research interests include epidemiology and surveillance of infectious diseases. ...
doi:10.1186/s40249-015-0090-9
pmid:26654247
pmcid:PMC4674955
fatcat:q5txylxj7fd57pymxsdl3aoe7m
Understanding the diversity of tweets in the time of outbreaks
2013
Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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., infectious disease outbreaks) using Twitter messages or tweets. ...
More precisely, our objective is to understand whether the temporal diversity of tweets can be used as indicators of outbreak events, and to which extent. ...
The reason for this is that we want to study the global trends for all infectious diseases. ...
doi:10.1145/2487788.2488172
dblp:conf/www/KanhabuaN13
fatcat:vy6ilifsircofp3n5y53hwnqei
The use and applicability of Internet search queries for infectious disease surveillance in low- to middle-income countries
2022
One Health & Implementation Research
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All studies investigated the correlation between GTD and the cases of the respective infectious disease; five studies used additional (time series) regression analyses to investigate the temporal relation ...
Therefore, the surveillance and early outbreak detection of infectious diseases, e.g., Dengue fever, is crucial. ...
Acknowledgements This work has been done within the ESIDA (Epidemiological Surveillance for Infectious Diseases in Sub-Sahara Africa) project, funded by the German Federal Ministry of Education and Research ...
doi:10.20517/ohir.2022.01
fatcat:753gvqplefhenhbhoqkrnjfih4
Under the Weather: Climate, Ecosystems, and Infectious Disease
2001
Emerging Infectious Diseases
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Integrated assessment models can be especially useful for studying the relationships among the multiple variables that contribute to disease outbreaks, for looking at long-term trends, and for identifying ...
on a general understanding of associations between climate and disease. ...
doi:10.3201/eid0707.017750
fatcat:xqwacdsjzzbktl5yjbtlfur35q
Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan
2020
BMJ Open
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This prompted us to develop useful tools to monitor social media during an epidemic because such media usage reflects infectious disease trends more quickly than does traditional reporting. ...
outcome measureWe used weekly epidemic incidence data obtained from the Taiwan Centers for Disease Control and online search query data obtained from Google Trends between 4 October 2015 and 2 April 2016 ...
during infectious outbreaks was assessed in the study. ► This study mainly focused on influenza and enterovirus infections, and other seasonal infectious diseases were not evaluated. ► Confounders such ...
doi:10.1136/bmjopen-2019-034156
pmid:32624467
fatcat:wj2tz3thpfaa3ofpbhjmp4kihm
Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform
2016
International Journal of Environmental Research and Public Health
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Additionally, spatio-temporal analysis and autocorrelation analysis were performed to detect the clustered areas with the high attention to the topic of "Ebola". ...
This study aimed to investigate and evaluate the public reaction to Ebola in China and identify the primitive correlation between possible influence factors caused by the outbreak of Ebola in West Africa ...
Acknowledgments: This study was partly supported by Zhejiang Provincial Medical and Health (2016151967 ...
doi:10.3390/ijerph13080780
pmid:27527196
pmcid:PMC4997466
fatcat:qhv3z7lsurfdnknyyvhtmx4fbu
Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness
2015
Emerging Infectious Diseases
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This approach, using the SARIMA model, could be used to effectively measure trends over time to enhance surveillance of foodborne illness in South Korea. ...
Although Internet-based surveillance systems do not have the capacity to completely replace traditional surveillance systems (16), they do provide a new means by which to detect and monitor infectious ...
Bahk is a professor at the Department of Food and Nutrition, Kunsan National University, Korea. His research interests include foodborne disease pathogens and microbial risk assessment. ...
doi:10.3201/eid2111.141834
pmid:26485066
pmcid:PMC4622232
fatcat:rsh7adlnnbdr3jbpm3dyz4bxgq
Modelling the transmission dynamics of online social contagion
[article]
2016
arXiv
pre-print
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Fitting a mathematical model of infectious disease transmission to outbreaks of these four games in the United Kingdom, I estimated the basic reproduction number, R_0, and generation time of each infection ...
Median estimates for R_0 ranged from 1.9-2.5 across the four outbreaks, and the estimated generation times were between 1.0 and 2.0 days. ...
As a proxy for disease incidence, I used Google Trends to assess interest level in the games over time [12] . ...
arXiv:1602.00248v1
fatcat:4gqvn5fn6ncfhbqpiftqh6vv54
Infectious disease macroecology: parasite diversity and dynamics across the globe
2021
Philosophical Transactions of the Royal Society of London. Biological Sciences
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The working group that gave rise to this theme issue was supported by the National Science Foundation (USA) through a Research Coordination Network grant. We thank S. Altizer and B. ...
Han for contributing ideas to this article. We also thank the commissioning editor H. Eaton for all her assistance in preparing this theme issue and all the reviewers for their invaluable inputs. ...
Essential to predicting disease emergence and outbreaks is developing fundamental theory on the spatial and temporal dynamics of infectious diseases, and tracking how host-parasite interactions shift from ...
doi:10.1098/rstb.2020.0350
pmid:34538145
pmcid:PMC8450632
fatcat:us6bjvzjozbytmfm4j27rhozva
A Survey of Social Web Mining Applications for Disease Outbreak Detection
[chapter]
2015
Studies in Computational Intelligence
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Social Web Media is one of the most important sources of big data to extract and acquire new knowledge. ...
Epidemic Intelligence Systems are nowadays widely used by public health organizations like monitoring mechanisms for early detection of disease outbreaks to reduce the impact of epidemics. ...
Spatial, temporal, and text mining Surveillance system to detect cancer and flu Bodnar et al. Regression models
Disease outbreak detection ...
doi:10.1007/978-3-319-10422-5_36
fatcat:t35mmsmmtjbtxkrycl7pfzfv4m
Google Search Trends Predicting Disease Outbreaks: An Analysis from India
2018
Healthcare Informatics Research
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This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction ...
Time trend plots were constructed to assess the correlation between Google search trends and disease notification under the IDSP. ...
The linear association between disease surveillance and Google Trends pattern was assessed using time-series crosscorrelations as shown in Table 2 . ...
doi:10.4258/hir.2018.24.4.300
pmid:30443418
pmcid:PMC6230529
fatcat:pnlbyyymrncxdmy4lmq5wmc76u
Avian Influenza A (H7N9) and related Internet search query data in China
2019
Scientific Reports
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and temporal trends of H7N9 cases and H7N9-related Internet search queries. ...
However, few studies have used Internet search query or social media data to monitor spatial and temporal trends of avian influenza in China. ...
may generally lag behind the news and topics. ...
doi:10.1038/s41598-019-46898-y
pmid:31320681
pmcid:PMC6639335
fatcat:wpcebwevlneh7dl5k2vu2ojb64
A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States
2021
BMC Public Health
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We then assessed the longitudinal relationship between identified tweets and the number of officially reported COVID-19 cases using linear and exponential regression at the U.S. county level. ...
Tweets identified as COVID-19 symptoms or concerns appeared to be more predictive of active COVID-19 cases as temporal distance increased. ...
Authors' contributions RC and TK conceptualized the study. MC conducted data collection. RC and VP analyzed the data. RC and TK worked on writing the manuscript. ...
doi:10.1186/s12889-021-10827-4
pmid:33894745
fatcat:xxv3bkndujempgza3jmnsd2upu
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