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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks [article]

Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
2016 arXiv   pre-print
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

Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
2017 Scientific Reports  
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

Cristiano Alicino, Nicola Luigi Bragazzi, Valeria Faccio, Daniela Amicizia, Donatella Panatto, Roberto Gasparini, Giancarlo Icardi, Andrea Orsi
2015 Infectious Diseases of Poverty  
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

Nattiya Kanhabua, Wolfgang Nejdl
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
., 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

Julia Beckhaus, Heiko Becher, Matthias Hans Belau
2022 One Health & Implementation Research  
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

Laurie Geller
2001 Emerging Infectious Diseases  
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

Yu-Wei Chang, Wei-Lun Chiang, Wen-Hung Wang, Chun-Yu Lin, Ling-Chien Hung, Yi-Chang Tsai, Jau-Ling Suen, Yen-Hsu Chen
2020 BMJ Open  
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

Kui Liu, Li Li, Tao Jiang, Bin Chen, Zhenggang Jiang, Zhengting Wang, Yongdi Chen, Jianmin Jiang, Hua Gu
2016 International Journal of Environmental Research and Public Health  
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

Gyung Jin Bahk, Yong Soo Kim, Myoung Su Park
2015 Emerging Infectious Diseases  
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]

Adam J. Kucharski
2016 arXiv   pre-print
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

Shan Huang, Maxwell Farrell, Patrick R. Stephens
2021 Philosophical Transactions of the Royal Society of London. Biological Sciences  
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]

Gema Bello-Orgaz, Julio Hernandez-Castro, David Camacho
2015 Studies in Computational Intelligence  
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

Madhur Verma, Kamal Kishore, Mukesh Kumar, Aparajita Ravi Sondh, Gaurav Aggarwal, Soundappan Kathirvel
2018 Healthcare Informatics Research  
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

Ying Chen, Yuzhou Zhang, Zhiwei Xu, Xuanzhuo Wang, Jiahai Lu, Wenbiao Hu
2019 Scientific Reports  
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

Raphael E Cuomo, Vidya Purushothaman, Jiawei Li, Mingxiang Cai, Tim K Mackey
2021 BMC Public Health  
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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