-
2
-
-
85118591361
-
-
Centers for Disease Control and Prevention (CDC). CDC. Transcript for CDC telebriefing: Zika summit press conference 2016 [accessed 2017-06-06] [WebCite Cache ID 6r1Oj46i9]
-
Centers for Disease Control and Prevention (CDC). CDC. 2016. Transcript for CDC telebriefing: Zika summit press conference 2016 URL: https://www.cdc.gov/media/releases/2016/t0404-zika-summit.html [accessed 2017-06-06] [WebCite Cache ID 6r1Oj46i9]
-
(2016)
-
-
-
3
-
-
85118531150
-
-
[WebCite Cache ID 6mhnJVcJ8]
-
Berg N. Greenbiz. 2013. How citizens have become sensors URL: https://www.greenbiz.com/news/2013/03/20/ how-citizens-have-become-sensors[WebCite Cache ID 6mhnJVcJ8]
-
(2013)
How citizens have become sensors
-
-
Greenbiz, Berg N.1
-
5
-
-
85029421399
-
-
Arxiv. [accessed 2017-06-10] [WebCite Cache ID 6r7WfwX7K]
-
Purohit H, Banerjee T, Hampton A, Shalin V, Bhandutia N, Sheth A. Arxiv. 2016. Gender-based violence in 140 characters or fewer: a #BigData case study of Twitter URL: https://arxiv.org/abs/1503.02086 [accessed 2017-06-10] [WebCite Cache ID 6r7WfwX7K]
-
(2016)
Gender-based violence in 140 characters or fewer: a #BigData case study of Twitter
-
-
Purohit, H1
Banerjee, T2
Hampton, A3
Shalin, V4
Bhandutia, N5
Sheth, A.6
-
6
-
-
84866641750
-
You are what you tweet: analyzing twitter for public health
-
2011 Presented at: ICWSM; July Barcelona
-
Paul M, Dredze M. You are what you tweet: analyzing twitter for public health. 2011 Presented at: ICWSM; July 2011; Barcelona.
-
(2011)
-
-
Paul, M1
Dredze, M.2
-
8
-
-
85118586858
-
-
Center for Disease Control (CDC). CDC. Zika virus [accessed 2016-12-12] [WebCite Cache ID 6mhnTZk4b]
-
Center for Disease Control (CDC). CDC. Zika virus URL: http://www.cdc.gov/zika/ [accessed 2016-12-12] [WebCite Cache ID 6mhnTZk4b]
-
-
-
-
9
-
-
84959521895
-
Zika virus infection-the next wave after dengue?
-
Apr; [FREE Full text] [doi] [Medline: 26965962]
-
Wong SS, Poon RW, Wong SC. Zika virus infection-the next wave after dengue? J Formos Med Assoc 2016 Apr;115(4):226-242 [FREE Full text] [doi: 10.1016/j.jfma.2016.02.002] [Medline: 26965962]
-
(2016)
J Formos Med Assoc
, vol.115
, Issue.4
, pp. 226-242
-
-
Wong, SS1
Poon, RW2
Wong, SC.3
-
10
-
-
84908440181
-
Ebola, Twitter, and misinformation: a dangerous combination?
-
[doi]
-
Oyeyemi S, Gabarron E, Wynn R. Ebola, Twitter, and misinformation: a dangerous combination? BMJ 2014;349:g6178. [doi: 10.1136/bmj.g6178]
-
(2014)
BMJ
, vol.349
, pp. g6178
-
-
Oyeyemi, S1
Gabarron, E2
Wynn, R.3
-
11
-
-
84989912096
-
Utilizing nontraditional data sources for near real-time estimation of transmission dynamics during the 2015-2016 Colombian Zika virus disease outbreak
-
Jun 01; [FREE Full text] [doi] [Medline: 27251981]
-
Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS. Utilizing nontraditional data sources for near real-time estimation of transmission dynamics during the 2015-2016 Colombian Zika virus disease outbreak. JMIR Public Health Surveill 2016 Jun 01;2(1):e30 [FREE Full text] [doi: 10.2196/publichealth.5814] [Medline: 27251981]
-
(2016)
JMIR Public Health Surveill
, vol.2
, Issue.1
, pp. e30
-
-
Majumder, MS1
Santillana, M2
Mekaru, SR3
McGinnis, DP4
Khan, K5
Brownstein, JS.6
-
13
-
-
84995944905
-
Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: an analysis of a Zika live twitter chat
-
Dec 01; [doi] [Medline: 27544795]
-
Glowacki EM, Lazard AJ, Wilcox GB, Mackert M, Bernhardt JM. Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: an analysis of a Zika live twitter chat. Am J Infect Control 2016 Dec 01;44(12):1709-1711. [doi: 10.1016/j.ajic.2016.05.025] [Medline: 27544795]
-
(2016)
Am J Infect Control
, vol.44
, Issue.12
, pp. 1709-1711
-
-
Glowacki, EM1
Lazard, AJ2
Wilcox, GB3
Mackert, M4
Bernhardt, JM.5
-
14
-
-
84994116588
-
How people react to Zika virus outbreaks on twitter? a computational content analysis
-
Dec 01; [doi] [Medline: 27566874]
-
Fu K, Liang H, Saroha N, Tse ZT, Ip P, Fung IC. How people react to Zika virus outbreaks on twitter? a computational content analysis. Am J Infect Control 2016 Dec 01;44(12):1700-1702. [doi: 10.1016/j.ajic.2016.04.253] [Medline: 27566874]
-
(2016)
Am J Infect Control
, vol.44
, Issue.12
, pp. 1700-1702
-
-
Fu, K1
Liang, H2
Saroha, N3
Tse, ZT4
Ip, P5
Fung, IC.6
-
15
-
-
84898514664
-
Twitris 2.0: semantically empowered system for understanding perceptions from social data
-
Shanghai, China
-
Jadhav A, Purohit H, Kapanipathi P, Ananthram P, Ranabahu A, Nguyen V, et al. Twitris 2.0: semantically empowered system for understanding perceptions from social data. 2010 Presented at: Semantic Web Application Challenge at ISWC; 2010; Shanghai, China.
-
(2010)
2010 Presented at: Semantic Web Application Challenge at ISWC
-
-
Jadhav, A1
Purohit, H2
Kapanipathi, P3
Ananthram, P4
Ranabahu, A5
Nguyen, V6
-
16
-
-
85118566155
-
-
Twitter. [accessed 2017-02-22] [WebCite Cache ID 6oT3cftAk]
-
Twitter. Twitter streaming API information URL: https://dev.twitter.com/streaming/overview/processing [accessed 2017-02-22] [WebCite Cache ID 6oT3cftAk]
-
Twitter streaming API information
-
-
-
17
-
-
84867276477
-
Interrater reliability: the kappa statistic
-
[FREE Full text] [Medline: 23092060]
-
McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb) 2012;22(3):276-282 [FREE Full text] [Medline: 23092060]
-
(2012)
Biochem Med (Zagreb)
, vol.22
, Issue.3
, pp. 276-282
-
-
McHugh, ML.1
-
22
-
-
85118588540
-
-
Genderize. [accessed 2017-06-06] [WebCite Cache ID 6r1WPw9BO]
-
Genderize. Genderize API URL: https://genderize.io/ [accessed 2017-06-06] [WebCite Cache ID 6r1WPw9BO]
-
Genderize API
-
-
-
23
-
-
85118531538
-
-
R-project. [WebCite Cache ID 6mhnirAFy]
-
R-project. Sentiment URL: https://cran.r-project.org/src/contrib/Archive/sentiment/[WebCite Cache ID 6mhnirAFy]
-
Sentiment
-
-
-
24
-
-
0017360990
-
The measurement of observer agreement for categorical data
-
Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics 1977;33(1):174.
-
(1977)
Biometrics
, vol.33
, Issue.1
, pp. 174
-
-
Landis, J1
Koch, G.2
-
27
-
-
85118590427
-
-
Bitbucket. [accessed 2017-03-07] [WebCite Cache ID 6onCPDSVm]
-
Bitbucket. Zika study URL: https://roopteja.bitbucket.io/zikastudy/ [accessed 2017-03-07] [WebCite Cache ID 6onCPDSVm]
-
Zika study
-
-
-
28
-
-
51349164164
-
Naive bayes for text classification with unbalanced classes
-
Berlin
-
Frank E, Bouckaert R. Naive bayes for text classification with unbalanced classes. 2006 Presented at: PKDD; 2006; Berlin.
-
(2006)
2006 Presented at: PKDD
-
-
Frank, E1
Bouckaert, R.2
-
29
-
-
85118558143
-
-
National Institute of AllergyInfectious Disease (NIAID). NIAID.NIH. Zika virus [accessed 2016-12-12] [WebCite Cache ID 6mhnqsP3D]
-
National Institute of AllergyInfectious Disease (NIAID). NIAID.NIH. Zika virus URL: https://www.niaid.nih.gov/ diseases-conditions/zika-virus [accessed 2016-12-12] [WebCite Cache ID 6mhnqsP3D]
-
-
-
-
30
-
-
85102338927
-
-
British Broadcasting Corporation (BBC). says US [accessed 2016-12-12] [WebCite Cache ID 6mhp7CZwI]
-
British Broadcasting Corporation (BBC). BBC. Zika virus scarier than thought? says US URL: http://www.bbc.com/news/ world-us-canada-36020165 [accessed 2016-12-12] [WebCite Cache ID 6mhp7CZwI]
-
BBC. Zika virus scarier than thought?
-
-
|