-
1
-
-
84873655668
-
When google got u wrong
-
D. Butler. When Google got u wrong. Nature, 2013.
-
(2013)
Nature
-
-
Butler, D.1
-
2
-
-
72849140260
-
Google trends: A web-based tool for real-time surveillance of disease outbreaks
-
Nov
-
H. A. Carneiro and E. Mylonakis. Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks. Clinical Infectious Diseases, 49(10):1557-1564, Nov. 2009.
-
(2009)
Clinical Infectious Diseases
, vol.49
, Issue.10
, pp. 1557-1564
-
-
Carneiro, H.A.1
Mylonakis, E.2
-
3
-
-
79956040653
-
Towards detecting inuenza epidemics by analyzing twitter messages
-
New York, New York, USA, ACM Press
-
A. Culotta. Towards detecting inuenza epidemics by analyzing Twitter messages . In the First Workshop, pages 115-122, New York, New York, USA, 2010. ACM Press.
-
(2010)
The First Workshop
, pp. 115-122
-
-
Culotta, A.1
-
4
-
-
84864195534
-
A content analysis of chronic diseases social groups on facebook and twitter
-
July
-
I. De la Torre-Díez, F. J. Díaz-Pernas, and M. Antön-Rodríguez. A content analysis of chronic diseases social groups on facebook and twitter. Telemedicine journal and e-health: The official journal of the American Telemedicine Association, 18(6):404-408, July 2012.
-
(2012)
Telemedicine Journal and E-health: The Official Journal of the American Telemedicine Association
, vol.18
, Issue.6
, pp. 404-408
-
-
De La Torre-Díez, I.1
Díaz-Pernas, F.J.2
Antön- Rodríguez, M.3
-
5
-
-
84856717649
-
Google flu trends: Correlation with emergency department inuenza rates and crowding metrics
-
Jan
-
A. F. Dugas, Y. H. Hsieh, S. R. Levin, J. M. Pines, D. P. Mareiniss, A. Mohareb, C. A. Gaydos, T. M. Perl, and R. E. Rothman. Google Flu Trends: Correlation With Emergency Department Inuenza Rates and Crowding Metrics. Clinical Infectious Diseases, 54(4):463-469, Jan. 2012.
-
(2012)
Clinical Infectious Diseases
, vol.54
, Issue.4
, pp. 463-469
-
-
Dugas, A.F.1
Hsieh, Y.H.2
Levin, S.R.3
Pines, J.M.4
Mareiniss, D.P.5
Mohareb, A.6
Gaydos, C.A.7
Perl, T.M.8
Rothman, R.E.9
-
6
-
-
60549098239
-
Detecting inuenza epidemics using search engine query data
-
Feb
-
J. Ginsberg, M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant. Detecting inuenza epidemics using search engine query data. Nature, 457(7232):1012-1014, Feb. 2009.
-
(2009)
Nature
, vol.457
, Issue.7232
, pp. 1012-1014
-
-
Ginsberg, J.1
Mohebbi, M.H.2
Patel, R.S.3
Brammer, L.4
Smolinski, M.S.5
Brilliant, L.6
-
7
-
-
78049334454
-
Predicting consumer behavior with web search
-
Oct
-
S. Goel, J. M. Hofman, S. Lahaie, D. M. Pennock, and D. J. Watts. Predicting consumer behavior with Web search. Proceedings of the National Academy of Sciences of the United States of America, 107(41):17486-17490, Oct. 2010.
-
(2010)
Proceedings of the National Academy of Sciences of the United States of America
, vol.107
, Issue.41
, pp. 17486-17490
-
-
Goel, S.1
Hofman, J.M.2
Lahaie, S.3
Pennock, D.M.4
Watts, D.J.5
-
9
-
-
66249107419
-
Take two aspirin and tweet me in the morning: How twitter, facebook, and other social media are reshaping health care
-
C. Hawn. Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care. Health Affairs, 2009.
-
(2009)
Health Affairs
-
-
Hawn, C.1
-
11
-
-
84864615762
-
Digital epidemiology
-
July
-
M. Salathé, L. Bengtsson, T. J. Bodnar, D. D. Brewer, J. S. Brownstein, C. Buckee, E. M. Campbell, C. Cattuto, S. Khandelwal, P. L. Mabry, and A. Vespignani. Digital epidemiology. PLoS computational biology, 8(7):e1002616, July 2012.
-
(2012)
PLoS Computational Biology
, vol.8
, Issue.7
-
-
Salathé, M.1
Bengtsson, L.2
Bodnar, T.J.3
Brewer, D.D.4
Brownstein, J.S.5
Buckee, C.6
Campbell, E.M.7
Cattuto, C.8
Khandelwal, S.9
Mabry, P.L.10
Vespignani, A.11
-
12
-
-
80055065085
-
Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control
-
Oct
-
M. Salathé and S. Khandelwal. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS computational biology, 7(10):e1002199, Oct. 2011.
-
(2011)
PLoS Computational Biology
, vol.7
, Issue.10
-
-
Salathé, M.1
Khandelwal, S.2
-
13
-
-
79955757514
-
The use of twitter to track levels of disease activity and public concern in the u.s. During the inuenza a h1n1 pandemic
-
A. Signorini, A. M. Segre, and P. M. Polgreen. The use of Twitter to track levels of disease activity and public concern in the U.S. during the inuenza A H1N1 pandemic. PloS one, 6(5):e19467, 2011.
-
(2011)
PloS One
, vol.6
, Issue.5
-
-
Signorini, A.1
Segre, A.M.2
Polgreen, P.M.3
-
15
-
-
84862497423
-
Can twitter predict disease outbreaks?
-
Clinical research ed
-
C. St Louis and G. Zorlu. Can Twitter predict disease outbreaks? BMJ (Clinical research ed.), 344:e2353, 2012.
-
(2012)
BMJ
, vol.344
-
-
Louis, C.S.1
Zorlu, G.2
-
16
-
-
84907095419
-
R: A language and environment for statistical computing
-
R Core Team
-
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2012.
-
(2012)
R Foundation for Statistical Computing
-
-
|