-
1
-
-
85051533435
-
-
March
-
http://www.who.int/mediacentre/factsheets/fs211/en/, March 2014.
-
(2014)
-
-
-
2
-
-
0036100089
-
Medical care capacity for influenza outbreaks, Los Angeles
-
C.A. Glaser and et al. Medical care capacity for influenza outbreaks, Los Angeles. Emerging infectious diseases, 8(6):569–574, 2002.
-
(2002)
Emerging Infectious Diseases
, vol.8
, Issue.6
, pp. 569-574
-
-
Glaser, C.A.1
-
3
-
-
3042721544
-
Community influenza outbreaks and emergency department ambulance diversion
-
M.J. Schull, M.M. Mamdani, and J. Fang. Community influenza outbreaks and emergency department ambulance diversion. Annals of emergency medicine, 44(1):61–67, 2004.
-
(2004)
Annals of Emergency Medicine
, vol.44
, Issue.1
, pp. 61-67
-
-
Schull, M.J.1
Mamdani, M.M.2
Fang, J.3
-
4
-
-
84856525810
-
Should we fear”flu fear” itself? Effects of H1N1 influenza fear on ED use
-
W.M. McDonnell, D.S. Nelson, and J.E. Schunk. Should we fear”flu fear” itself? Effects of H1N1 influenza fear on ED use. The American journal of emergency medicine, 30(2):275–282, 2012.
-
(2012)
The American Journal of Emergency Medicine
, vol.30
, Issue.2
, pp. 275-282
-
-
McDonnell, W.M.1
Nelson, D.S.2
Schunk, J.E.3
-
5
-
-
84899439666
-
Influenza forecasting in human populations: A scoping review
-
J-P. Chretien, D. George, J. Shaman, R.A. Chitale, and F.E. McKenzie. Influenza forecasting in human populations: a scoping review. PloS ONE, 9(4):e94130, 2014.
-
(2014)
PloS ONE
, vol.9
, Issue.4
-
-
Chretien, J.-P.1
George, D.2
Shaman, J.3
Chitale, R.A.4
McKenzie, F.E.5
-
6
-
-
84898044168
-
A systematic review of studies on forecasting the dynamics of influenza outbreaks
-
E. Nsoesie, J. Brownstein, N. Ramakrishnan, and M. Marathe. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza and other respiratory viruses, 8(3):309–316, 2014.
-
(2014)
Influenza and Other Respiratory Viruses
, vol.8
, Issue.3
, pp. 309-316
-
-
Nsoesie, E.1
Brownstein, J.2
Ramakrishnan, N.3
Marathe, M.4
-
7
-
-
84864615762
-
Digital epidemiology
-
M. Salathe and et al. Digital epidemiology. PLoS Comput Biol, 8(7):e1002616, 2012.
-
(2012)
PLoS Comput Biol
, vol.8
, Issue.7
, pp. e1002616
-
-
Salathe, M.1
-
8
-
-
84958762492
-
Enhancing disease surveillance with novel data streams: Challenges and opportunities
-
B. M. Althouse and et al. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science, 4(1):17, 2015.
-
(2015)
EPJ Data Science
, vol.4
, Issue.1
, pp. 17
-
-
Althouse, B.M.1
-
10
-
-
84896056107
-
The parable of Google Flu: Traps in big data analysis
-
March
-
D. Lazer, R. Kennedy, G. King, and A. Vespignani. The parable of Google Flu: traps in big data analysis. Science, 343(14 March), 2014.
-
(2014)
Science
, vol.343
, Issue.14
-
-
Lazer, D.1
Kennedy, R.2
King, G.3
Vespignani, A.4
-
11
-
-
76049115282
-
Multiscale mobility networks and the spatial spreading of infectious diseases
-
D. Balcan, V. Colizza, B. Gonçalves, H. Hu, J.J. Ramasco, and A. Vespignan. Multiscale mobility networks and the spatial spreading of infectious diseases. PNAS, 106(51):21484–21489, 2009.
-
(2009)
PNAS
, vol.106
, Issue.51
, pp. 21484-21489
-
-
Balcan, D.1
Colizza, V.2
Gonçalves, B.3
Hu, H.4
Ramasco, J.J.5
Vespignan, A.6
-
12
-
-
70350687996
-
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): A Monte Carlo likelihood analysis based on human mobility
-
D. Balcan and et al. Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. BMC Medicine, 7(1):45, 2009.
-
(2009)
BMC Medicine
, vol.7
, Issue.1
, pp. 45
-
-
Balcan, D.1
-
13
-
-
77956419343
-
Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
-
aug
-
D. Balcan, B. Gonçalves, H. Hu, J.J. Ramasco, V. Colizza, and A. Vespignani. Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model. Journal of Computational Science, 1(3):132–145, aug 2010.
-
(2010)
Journal of Computational Science
, vol.1
, Issue.3
, pp. 132-145
-
-
Balcan, D.1
Gonçalves, B.2
Hu, H.3
Ramasco, J.J.4
Colizza, V.5
Vespignani, A.6
-
16
-
-
84979000412
-
Results from the centers for disease control and prevention’s predict the 2013–2014 influenza season challenge
-
M. Biggerstaff and et al. Results from the centers for disease control and prevention’s predict the 2013–2014 influenza season challenge. BMC Infectious Diseases, 16(1):357, 2016.
-
(2016)
BMC Infectious Diseases
, vol.16
, Issue.1
, pp. 357
-
-
Biggerstaff, M.1
-
18
-
-
33845508786
-
Inference for nonlinear dynamical systems
-
E.L. Ionides, C. Bretó, and A.A. King. Inference for nonlinear dynamical systems. PNAS, 103(49):18438–18443, 2006.
-
(2006)
PNAS
, vol.103
, Issue.49
, pp. 18438-18443
-
-
Ionides, E.L.1
Bretó, C.2
King, A.A.3
-
19
-
-
70350782519
-
Episimdemics: An efficient algorithm for simulating the spread of infectious disease over large realistic social networks
-
IEEE Press
-
C.L. Barrett and et al. Episimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks. In Proceedings of the 2008 ACM/IEEE conference on Supercomputing, page 37. IEEE Press, 2008.
-
(2008)
Proceedings of The 2008 ACM/IEEE Conference on Supercomputing
, pp. 37
-
-
Barrett, C.L.1
-
20
-
-
76749154557
-
Flute, a publicly available stochastic influenza epidemic simulation model
-
D.L. Chao, M.E. Halloran, V.J Obenchain, and I.M. Longini. Flute, a publicly available stochastic influenza epidemic simulation model. PLoS Comput Biol, 6(1):e1000656, 2010.
-
(2010)
PLoS Comput Biol
, vol.6
, Issue.1
, pp. e1000656
-
-
Chao, D.L.1
Halloran, M.E.2
Obenchain, V.J.3
Longini, I.M.4
-
21
-
-
76249125029
-
The role of population heterogeneity and human mobility in the spread of pandemic influenza
-
S. Merler and M. Ajelli. The role of population heterogeneity and human mobility in the spread of pandemic influenza. Proc. R. Soc. B, 277(1681):557–565, 2010.
-
(2010)
Proc. R. Soc. B
, vol.277
, Issue.1681
, pp. 557-565
-
-
Merler, S.1
Ajelli, M.2
-
22
-
-
60549098239
-
Detecting influenza epidemics using search engine query data
-
February
-
J. Ginsberg and et al. Detecting influenza epidemics using search engine query data. Nature, 457(7232):1012–1014, February 2009.
-
(2009)
Nature
, vol.457
, Issue.7232
, pp. 1012-1014
-
-
Ginsberg, J.1
-
24
-
-
84891941337
-
National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic
-
D.A. Broniatowski, M.J. Paul, and M. Dredze. National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic. PLOS ONE, 12(8):e83672, 2013.
-
(2013)
PLOS ONE
, vol.12
, Issue.8
-
-
Broniatowski, D.A.1
Paul, M.J.2
Dredze, M.3
-
25
-
-
79960609227
-
Predicting Flu Trends using Twitter data
-
H. Achrekar, A. Gandhe, R. Lazarus, Y. Ssu-Hsin, and L. Benyuan. Predicting Flu Trends using Twitter data. In 2011 IEEE Conference on Computer Communications Workshops, pages 702–707, 2011.
-
(2011)
2011 IEEE Conference on Computer Communications Workshops
, pp. 702-707
-
-
Achrekar, H.1
Gandhe, A.2
Lazarus, R.3
Ssu-Hsin, Y.4
Benyuan, L.5
-
26
-
-
84930606330
-
Forecasting the 2013-2014 influenza season using wikipedia
-
05
-
K. Hickmann and et al. Forecasting the 2013-2014 influenza season using wikipedia. PLoS Comput Biol, 11(5):e1004239, 05 2015.
-
(2015)
PLoS Comput Biol
, vol.11
, Issue.5
, pp. e1004239
-
-
Hickmann, K.1
-
27
-
-
84901331477
-
Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time
-
D.J. McIver and J.S. Brownstein. Wikipedia usage estimates prevalence of influenza-like illness in the united states in near real-time. PLoS Comput Biol, 10(4):e1003581, 2014.
-
(2014)
PLoS Comput Biol
, vol.10
, Issue.4
, pp. e1003581
-
-
McIver, D.J.1
Brownstein, J.S.2
-
28
-
-
84977841553
-
On the ground validation of online diagnosis with twitter and medical records
-
T. Bodnar and et al. On the ground validation of online diagnosis with twitter and medical records. In WWW2014 Companion, pages 651–656, 2014.
-
(2014)
WWW2014 Companion
, pp. 651-656
-
-
Bodnar, T.1
-
31
-
-
84890239936
-
Real-time influenza forecasts during the 2012−2013 season
-
Dec
-
J. Shaman and et al. Real-time influenza forecasts during the 2012−2013 season. Nat. Comms, 4, Dec 2013.
-
(2013)
Nat. Comms
, vol.4
-
-
Shaman, J.1
-
32
-
-
84924132651
-
Inference of seasonal and pandemic influenza transmission dynamics
-
W. Yang, M. Lipsitch, and J. Shaman. Inference of seasonal and pandemic influenza transmission dynamics. Proceedings of the National Academy of Sciences, 112(9):2723–2728, 2015.
-
(2015)
Proceedings of The National Academy of Sciences
, vol.112
, Issue.9
, pp. 2723-2728
-
-
Yang, W.1
Lipsitch, M.2
Shaman, J.3
-
33
-
-
84895745212
-
Evaluation of Internet-based dengue query data: Google Dengue Trends
-
R. Gluskin and et al. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis, 8(2):e2713, 2014.
-
(2014)
PLoS Negl Trop Dis
, vol.8
, Issue.2
, pp. e2713
-
-
Gluskin, R.1
-
34
-
-
84989912096
-
Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak
-
M.S. Majumder and et al. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR public health and surveillance, 2(1):e30, 2016.
-
(2016)
JMIR Public Health and Surveillance
, vol.2
, Issue.1
, pp. e30
-
-
Majumder, M.S.1
-
35
-
-
85051489907
-
-
Oct
-
http://ecdc.europa.eu/en/healthtopics/influenza/EISN/Pages/index.aspx, Oct. 2016.
-
(2016)
-
-
-
36
-
-
85051505211
-
-
Oct
-
http://ecdc.europa.eu/en/healthtopics/influenza/surveillance/Pages/influenza_case_ definitions.aspx, Oct. 2016.
-
(2016)
-
-
-
37
-
-
84893083007
-
Truthy: Mapping the spread of astroturf in microblog streams
-
J. Ratkiewicz, M. Conover, M. Meiss, B. Gonalves, S. Patil, A. Flammini, and F. Menczer. Truthy: Mapping the spread of astroturf in microblog streams. In WWW2011, 2011.
-
(2011)
WWW2011
-
-
Ratkiewicz, J.1
Conover, M.2
Meiss, M.3
Gonalves, B.4
Patil, S.5
Flammini, A.6
Menczer, F.7
-
39
-
-
84876343347
-
The Twitter of Babel: Mapping World Languages through Microblogging Platforms
-
04
-
D. Mocanu, A. Baronchelli, N. Perra, B. Gonçalves, Q. Zhang, and A. Vespignani. The Twitter of Babel: Mapping World Languages through Microblogging Platforms. PLoS ONE, 8(4):e61981, 04 2013.
-
(2013)
PLoS ONE
, vol.8
, Issue.4
-
-
Mocanu, D.1
Baronchelli, A.2
Perra, N.3
Gonçalves, B.4
Zhang, Q.5
Vespignani, A.6
-
40
-
-
85051465321
-
-
January
-
GPS Accuracy. http://www.gps.gov/systems/gps/performance/accuracy/, January 2014.
-
(2014)
-
-
-
42
-
-
85085133306
-
You are what you tweet: Analyzing twitter for public health
-
M.J. Paul and M. Dredze. You are what you tweet: Analyzing twitter for public health. ICWSM, 20:265–272, 2011.
-
(2011)
ICWSM
, vol.20
, pp. 265-272
-
-
Paul, M.J.1
Dredze, M.2
-
43
-
-
84857735176
-
Early warning and outbreak detection using social networking websites: The potential of twitter
-
Springer
-
E. de Quincey and P. Kostkova. Early warning and outbreak detection using social networking websites: The potential of twitter. In International Conference on Electronic Healthcare, pages 21–24. Springer, 2009.
-
(2009)
International Conference on Electronic Healthcare
, pp. 21-24
-
-
De Quincey, E.1
Kostkova, P.2
-
44
-
-
78349277925
-
Monitoring influenza trends through mining social media
-
C. Corley, A.R. Mikler, K.P. Singh, and D.J. Cook. Monitoring influenza trends through mining social media. In BIOCOMP, pages 340–346, 2009.
-
(2009)
BIOCOMP
, pp. 340-346
-
-
Corley, C.1
Mikler, A.R.2
Singh, K.P.3
Cook, D.J.4
-
45
-
-
77954764743
-
Massive social network analysis: Mining twitter for social good
-
D. Ediger and et al. Massive social network analysis: Mining twitter for social good. In 2010 39th International Conference on Parallel Processing, pages 583–593. IEEE, 2010.
-
(2010)
2010 39th International Conference on Parallel Processing
, pp. 583-593
-
-
Ediger, D.1
-
46
-
-
77949738013
-
Text and structural data mining of influenza mentions in web and social media
-
C.D. Corley, D.J. Cook, A.R. Mikler, and K.P. Singh. Text and structural data mining of influenza mentions in web and social media. International journal of environmental research and public health, 7(2):596–615, 2010.
-
(2010)
International Journal of Environmental Research and Public Health
, vol.7
, Issue.2
, pp. 596-615
-
-
Corley, C.D.1
Cook, D.J.2
Mikler, A.R.3
Singh, K.P.4
-
47
-
-
84862897077
-
Web queries as a source for syndromic surveillance
-
A. Hulth, G. Rydevik, and A. Linde. Web queries as a source for syndromic surveillance. PloS ONE, 4(2):e4378, 2009.
-
(2009)
PloS ONE
, vol.4
, Issue.2
-
-
Hulth, A.1
Rydevik, G.2
Linde, A.3
-
48
-
-
79955757514
-
The use of twitter to track levels of disease activity and public concern in the us during the influenza 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 us during the influenza 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
-
50
-
-
84870905897
-
Real-time numerical forecast of global epidemic spreading: Case study of 2009 A/H1N1pdm
-
M. Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Gonçalves, N. Perra, V. Colizza, and A. Vespignani. Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm. BMC Medicine, 10(1):165, 2012.
-
(2012)
BMC Medicine
, vol.10
, Issue.1
, pp. 165
-
-
Tizzoni, M.1
Bajardi, P.2
Poletto, C.3
Ramasco, J.J.4
Balcan, D.5
Gonçalves, B.6
Perra, N.7
Colizza, V.8
Vespignani, A.9
-
51
-
-
0022394032
-
A mathematical model for the global spread of influenza
-
jul
-
L.A. Rvachev and I.M. Longini. A mathematical model for the global spread of influenza. Mathematical Biosciences, 75(1):3–22, jul 1985.
-
(1985)
Mathematical Biosciences
, vol.75
, Issue.1
, pp. 3-22
-
-
Rvachev, L.A.1
Longini, I.M.2
-
52
-
-
17544390067
-
A method for assessing the global spread of HIV-1 infection based on air travel
-
feb
-
A. Flahault and A.J. Valleron. A method for assessing the global spread of HIV-1 infection based on air travel. Mathematical Population Studies, 3(3):161–171, feb 1992.
-
(1992)
Mathematical Population Studies
, vol.3
, Issue.3
, pp. 161-171
-
-
Flahault, A.1
Valleron, A.J.2
-
53
-
-
33846670320
-
Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
-
V. Colizza and et al. Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions. Plos Med, 4(1):e13, 2007.
-
(2007)
Plos Med
, vol.4
, Issue.1
, pp. e13
-
-
Colizza, V.1
-
55
-
-
23644457957
-
Containing pandemic influenza at the source
-
I.M. Longini and et al. Containing pandemic influenza at the source. Science, 309:1083–1087, 2005.
-
(2005)
Science
, vol.309
, pp. 1083-1087
-
-
Longini, I.M.1
-
56
-
-
67249138142
-
Pandemic potential of a strain of influenza A (H1N1): Early findings
-
C. Fraser and et al. Pandemic potential of a strain of influenza A (H1N1): early findings. Science, 324(5934):1557–1561, 2009.
-
(2009)
Science
, vol.324
, Issue.5934
, pp. 1557-1561
-
-
Fraser, C.1
-
57
-
-
41349106559
-
Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies
-
C. Fabrice and et al. Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies. American Journal of Epidemiology, 167(7):775–785, 2008.
-
(2008)
American Journal of Epidemiology
, vol.167
, Issue.7
, pp. 775-785
-
-
Fabrice, C.1
-
58
-
-
42149139969
-
Seasonal influenza in the United States, France, and Australia: Transmission and prospects for control
-
6
-
G. Chowell, M.A. Miller, and C. Viboud. Seasonal influenza in the United States, France, and Australia: transmission and prospects for control. Epidemiology & Infection, 136:852–864, 6 2008.
-
(2008)
Epidemiology & Infection
, vol.136
, pp. 852-864
-
-
Chowell, G.1
Miller, M.A.2
Viboud, C.3
-
59
-
-
85070357722
-
Understanding the Demographics of Twitter Users
-
Barcelona, July
-
A. Mislove, S. Lehmann, Y.Y. Ahn, J.P. Onnela, and J.N. Rosenquist. Understanding the Demographics of Twitter Users. In ICWSM’11, Barcelona, July 2011.
-
(2011)
ICWSM’11
-
-
Mislove, A.1
Lehmann, S.2
Ahn, Y.Y.3
Onnela, J.P.4
Rosenquist, J.N.5
-
61
-
-
84876053703
-
Information theory and an extension of the maximum likelihood principle
-
Springer
-
H. Akaike. Information theory and an extension of the maximum likelihood principle. In Selected Papers of Hirotugu Akaike, pages 199–213. Springer, 1998.
-
(1998)
Selected Papers of Hirotugu Akaike
, pp. 199-213
-
-
Akaike, H.1
-
62
-
-
84930790662
-
Estimating the secondary attack rate and serial interval of influenza-like illnesses using social media
-
E. Yom-Tov, I. Johansson-Cox, V. Lampos, and A. C. Hayward. Estimating the secondary attack rate and serial interval of influenza-like illnesses using social media. Influenza and other respiratory viruses, 9(4):191–199, 2015.
-
(2015)
Influenza and Other Respiratory Viruses
, vol.9
, Issue.4
, pp. 191-199
-
-
Yom-Tov, E.1
Johansson-Cox, I.2
Lampos, V.3
Hayward, A.C.4
-
63
-
-
84984659011
-
Social data mining and seasonal influenza forecasts: The FluOutlook platform
-
Springer
-
Q. Zhang, C. Gioannini, D. Paolotti, N. Perra, D. Perrotta, M. Quaggiotto, M. Tizzoni, and A. Vespignani. Social data mining and seasonal influenza forecasts: the FluOutlook platform. In ECML-PKDD, pages 237–240. Springer, 2015.
-
(2015)
ECML-PKDD
, pp. 237-240
-
-
Zhang, Q.1
Gioannini, C.2
Paolotti, D.3
Perra, N.4
Perrotta, D.5
Quaggiotto, M.6
Tizzoni, M.7
Vespignani, A.8
|