A citation-based method for searching scientific literature

Lester Darryl Geneviève, Andrea Martani, Tenzin Wangmo, Daniela Paolotti, Carl Koppeschaar, Charlotte Kjelsø, Caroline Guerrisi, Marco Hirsch, Olivia Woolley-Meza, Paul Lukowicz, Antoine Flahault, Bernice Simone Elger. J Med Internet Res 2019
Times Cited: 9







List of co-cited articles
26 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Participatory Syndromic Surveillance of Influenza in Europe.
Caroline Guerrisi, Clément Turbelin, Thierry Blanchon, Thomas Hanslik, Isabelle Bonmarin, Daniel Levy-Bruhl, Daniela Perrotta, Daniela Paolotti, Ronald Smallenburg, Carl Koppeschaar,[...]. J Infect Dis 2016
38
33

Ethical challenges of big data in public health.
Effy Vayena, Marcel Salathé, Lawrence C Madoff, John S Brownstein. PLoS Comput Biol 2015
101
33

Digital epidemiology.
Marcel Salathé, Linus Bengtsson, Todd J Bodnar, Devon D Brewer, John S Brownstein, Caroline Buckee, Ellsworth M Campbell, Ciro Cattuto, Shashank Khandelwal, Patricia L Mabry,[...]. PLoS Comput Biol 2012
200
33

Public health for the people: participatory infectious disease surveillance in the digital age.
Oktawia P Wójcik, John S Brownstein, Rumi Chunara, Michael A Johansson. Emerg Themes Epidemiol 2014
60
33

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.
Mauricio Santillana, André T Nguyen, Mark Dredze, Michael J Paul, Elaine O Nsoesie, John S Brownstein. PLoS Comput Biol 2015
166
33

Ethical issues in public health surveillance: a systematic qualitative review.
Corinna Klingler, Diego Steven Silva, Christopher Schuermann, Andreas Alois Reis, Abha Saxena, Daniel Strech. BMC Public Health 2017
25
33

Detecting influenza epidemics using search engine query data.
Jeremy Ginsberg, Matthew H Mohebbi, Rajan S Patel, Lynnette Brammer, Mark S Smolinski, Larry Brilliant. Nature 2009
33

Ensemble method for dengue prediction.
Anna L Buczak, Benjamin Baugher, Linda J Moniz, Thomas Bagley, Steven M Babin, Erhan Guven. PLoS One 2018
12
22

Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project.
John S Brownstein, Clark C Freifeld, Ben Y Reis, Kenneth D Mandl. PLoS Med 2008
159
22

Influenza A (H7N9) and the importance of digital epidemiology.
Marcel Salathé, Clark C Freifeld, Sumiko R Mekaru, Anna F Tomasulo, John S Brownstein. N Engl J Med 2013
84
22

Big Data for Infectious Disease Surveillance and Modeling.
Shweta Bansal, Gerardo Chowell, Lone Simonsen, Alessandro Vespignani, Cécile Viboud. J Infect Dis 2016
71
22

Digital epidemiology: what is it, and where is it going?
Marcel Salathé. Life Sci Soc Policy 2018
47
22

Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons.
Mark S Smolinski, Adam W Crawley, Kristin Baltrusaitis, Rumi Chunara, Jennifer M Olsen, Oktawia Wójcik, Mauricio Santillana, Andre Nguyen, John S Brownstein. Am J Public Health 2015
88
22

Ethics of public health surveillance: new guidelines.
Amy L Fairchild, Ali Akbar Haghdoost, Ronald Bayer, Michael J Selgelid, Angus Dawson, Abha Saxena, Andreas Reis. Lancet Public Health 2017
8
25

Utility and potential of rapid epidemic intelligence from internet-based sources.
S J Yan, A A Chughtai, C R Macintyre. Int J Infect Dis 2017
21
22

Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.
Carl E Koppeschaar, Vittoria Colizza, Caroline Guerrisi, Clément Turbelin, Jim Duggan, W John Edmunds, Charlotte Kjelsø, Ricardo Mexia, Yamir Moreno, Sandro Meloni,[...]. JMIR Public Health Surveill 2017
29
22

Google trends: a web-based tool for real-time surveillance of disease outbreaks.
Herman Anthony Carneiro, Eleftherios Mylonakis. Clin Infect Dis 2009
265
22



Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
Emily H Chan, Vikram Sahai, Corrie Conrad, John S Brownstein. PLoS Negl Trop Dis 2011
130
22

Quantifying the impact of human mobility on malaria.
Amy Wesolowski, Nathan Eagle, Andrew J Tatem, David L Smith, Abdisalan M Noor, Robert W Snow, Caroline O Buckee. Science 2012
329
22

The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.
Cécile Viboud, Kaiyuan Sun, Robert Gaffey, Marco Ajelli, Laura Fumanelli, Stefano Merler, Qian Zhang, Gerardo Chowell, Lone Simonsen, Alessandro Vespignani. Epidemics 2018
71
22

Summary results of the 2014-2015 DARPA Chikungunya challenge.
Sara Y Del Valle, Benjamin H McMahon, Jason Asher, Richard Hatchett, Joceline C Lega, Heidi E Brown, Mark E Leany, Yannis Pantazis, David J Roberts, Sean Moore,[...]. BMC Infect Dis 2018
17
22

When Google got flu wrong.
Declan Butler. Nature 2013
168
22

Saúde na Copa: The World's First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, Brazil.
Onicio Leal Neto, George Santiago Dimech, Marlo Libel, Wayner Vieira de Souza, Eduarda Cesse, Mark Smolinski, Wanderson Oliveira, Jones Albuquerque. JMIR Public Health Surveill 2017
15
22

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study.
Onicio Leal Neto, Oswaldo Cruz, Jones Albuquerque, Mariana Nacarato de Sousa, Mark Smolinski, Eduarda Ângela Pessoa Cesse, Marlo Libel, Wayner Vieira de Souza. JMIR Public Health Surveill 2020
10
22


Accurate estimation of influenza epidemics using Google search data via ARGO.
Shihao Yang, Mauricio Santillana, S C Kou. Proc Natl Acad Sci U S A 2015
117
11

Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016.
Craig J McGowan, Matthew Biggerstaff, Michael Johansson, Karyn M Apfeldorf, Michal Ben-Nun, Logan Brooks, Matteo Convertino, Madhav Erraguntla, David C Farrow, John Freeze,[...]. Sci Rep 2019
31
11

The past, present, and future of public health surveillance.
Bernard C K Choi. Scientifica (Cairo) 2012
42
11

Surveillance for influenza during the 2009 influenza A (H1N1) pandemic-United States, April 2009-March 2010.
Lynnette Brammer, Lenee Blanton, Scott Epperson, Desiree Mustaquim, Amber Bishop, Krista Kniss, Rosaline Dhara, Mackenzie Nowell, Laurie Kamimoto, Lyn Finelli. Clin Infect Dis 2011
44
11


Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros,[...]. JAMA 2016
11


Machine-learned epidemiology: real-time detection of foodborne illness at scale.
Adam Sadilek, Stephanie Caty, Lauren DiPrete, Raed Mansour, Tom Schenk, Mark Bergtholdt, Ashish Jha, Prem Ramaswami, Evgeniy Gabrilovich. NPJ Digit Med 2018
19
11

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning.
Jinhua Wang, Xi Yang, Hongmin Cai, Wanchang Tan, Cangzheng Jin, Li Li. Sci Rep 2016
84
11

Rapid assessment of influenza vaccine effectiveness: analysis of an internet-based cohort.
K T D Eames, E Brooks-Pollock, D Paolotti, M Perosa, C Gioannini, W J Edmunds. Epidemiol Infect 2012
24
11

Using internet searches for influenza surveillance.
Philip M Polgreen, Yiling Chen, David M Pennock, Forrest D Nelson. Clin Infect Dis 2008
219
11

Optimizing provider recruitment for influenza surveillance networks.
Samuel V Scarpino, Nedialko B Dimitrov, Lauren Ancel Meyers. PLoS Comput Biol 2012
31
11

Forecasting seasonal outbreaks of influenza.
Jeffrey Shaman, Alicia Karspeck. Proc Natl Acad Sci U S A 2012
189
11

Digital disease detection--harnessing the Web for public health surveillance.
John S Brownstein, Clark C Freifeld, Lawrence C Madoff. N Engl J Med 2009
326
11

Analysis of Web access logs for surveillance of influenza.
Heather A Johnson, Michael M Wagner, William R Hogan, Wendy Chapman, Robert T Olszewski, John Dowling, Gary Barnas. Stud Health Technol Inform 2004
34
11


Enhancing disease surveillance with novel data streams: challenges and opportunities.
Benjamin M Althouse, Samuel V Scarpino, Lauren Ancel Meyers, John W Ayers, Marisa Bargsten, Joan Baumbach, John S Brownstein, Lauren Castro, Hannah Clapham, Derek At Cummings,[...]. EPJ Data Sci 2015
73
11

What can digital disease detection learn from (an external revision to) Google Flu Trends?
Mauricio Santillana, D Wendong Zhang, Benjamin M Althouse, John W Ayers. Am J Prev Med 2014
99
11


Super learner.
Mark J van der Laan, Eric C Polley, Alan E Hubbard. Stat Appl Genet Mol Biol 2007
490
11

Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data.
Da-Cang Huang, Jin-Feng Wang, Ji-Xia Huang, Daniel Z Sui, Hong-Yan Zhang, Mao-Gui Hu, Cheng-Dong Xu. PLoS Comput Biol 2016
7
14

Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project.
Jenine K Harris, Jared B Hawkins, Leila Nguyen, Elaine O Nsoesie, Gaurav Tuli, Raed Mansour, John S Brownstein. J Public Health Manag Pract 2017
25
11



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.