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Volumn 10, Issue 6, 2015, Pages

Mass media and the contagion of fear: The case of Ebola in America

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMMUNICABLE DISEASE; CORRELATION COEFFICIENT; DYNAMICS; EBOLA HEMORRHAGIC FEVER; EPIDEMIC; FEAR; HUMAN; INTERNET; LINEAR REGRESSION ANALYSIS; MASS MEDIUM; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; PANIC; PUBLIC HEALTH; TELEVISION; UNITED STATES; VIDEORECORDING; HEMORRHAGIC FEVER, EBOLA; INFORMATION DISSEMINATION; SOCIAL MEDIA;

EID: 84936088628     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0129179     Document Type: Article
Times cited : (178)

References (33)
  • 1
    • 34748880596 scopus 로고    scopus 로고
    • Infodemiology: Tracking flu-related searches on the web for syndromic surveillance
    • American Medical Informatics Association
    • Eysenbach G (2006) Infodemiology: tracking flu-related searches on the web for syndromic surveillance. In: AMIA Annual Symposium Proceedings. American Medical Informatics Association, volume 2006, p. 244.
    • (2006) AMIA Annual Symposium Proceedings , vol.2006 , pp. 244
    • Eysenbach, G.1
  • 4
    • 79955757514 scopus 로고    scopus 로고
    • The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic
    • PMID: 21573238
    • Signorini A, Segre AM, Polgreen PM (2011) 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: e19467. doi: 10.1371/journal.pone.0019467 PMID: 21573238
    • (2011) PloS One , vol.6
    • Signorini, A.1    Segre, A.M.2    Polgreen, P.M.3
  • 5
    • 66149157263 scopus 로고    scopus 로고
    • Digital disease detection: Harnessing the Web for public health surveillance
    • PMID: 19423867
    • Brownstein JS, Freifeld CC, Madoff LC (2009) Digital disease detection: harnessing the Web for public health surveillance. New England Journal of Medicine 360: 2153-2157. doi: 10.1056/NEJMp0900702 PMID: 19423867
    • (2009) New England Journal of Medicine , vol.360 , pp. 2153-2157
    • Brownstein, J.S.1    Freifeld, C.C.2    Madoff, L.C.3
  • 7
    • 84862258546 scopus 로고    scopus 로고
    • Trending now: Using social media to predict and track disease outbreaks
    • PMID: 22214548
    • Schmidt CW (2012) Trending now: using social media to predict and track disease outbreaks. Environ Health Perspect 120: a30-a33. doi: 10.1289/ehp.120-a30 PMID: 22214548
    • (2012) Environ Health Perspect , vol.120 , pp. a30-a33
    • Schmidt, C.W.1
  • 8
    • 67651237086 scopus 로고    scopus 로고
    • Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet
    • PMID: 19329408
    • Eysenbach G (2009) Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of medical Internet research 11. doi: 10.2196/jmir.1157 PMID: 19329408
    • (2009) Journal of Medical Internet Research , vol.11
    • Eysenbach, G.1
  • 9
    • 84855664643 scopus 로고    scopus 로고
    • Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak
    • PMID: 22232449
    • Chunara R, Andrews JR, Brownstein JS (2012) Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. The American Journal of Tropical Medicine and Hygiene 86: 39-45. doi: 10.4269/ajtmh.2012.11-0597 PMID: 22232449
    • (2012) The American Journal of Tropical Medicine and Hygiene , vol.86 , pp. 39-45
    • Chunara, R.1    Andrews, J.R.2    Brownstein, J.S.3
  • 10
    • 80055065085 scopus 로고    scopus 로고
    • Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control
    • PMID: 22022249
    • Salathé M, Khandelwal S (2011) Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS computational biology 7: e1002199. doi: 10.1371/journal.pcbi.1002199 PMID: 22022249
    • (2011) PLoS Computational Biology , vol.7
    • Salathé, M.1    Khandelwal, S.2
  • 11
    • 84876918884 scopus 로고    scopus 로고
    • Big data opportunities for global infectious disease surveillance
    • PMID: 23565065
    • Hay SI, George DB, Moyes CL, Brownstein JS (2013) Big data opportunities for global infectious disease surveillance. PLoS medicine 10: e1001413. doi: 10.1371/journal.pmed.1001413 PMID: 23565065
    • (2013) PLoS Medicine , vol.10
    • Hay, S.I.1    George, D.B.2    Moyes, C.L.3    Brownstein, J.S.4
  • 12
    • 71949112681 scopus 로고    scopus 로고
    • Trends in patterns of dengue transmission over 4 years in a pediatric cohort study in Nicaragua
    • PMID: 19929380
    • Balmaseda A, Standish K, Mercado JC, Matute JC, Tellez Y, Saborio S, et al. (2010) Trends in patterns of dengue transmission over 4 years in a pediatric cohort study in Nicaragua. Journal of Infectious Diseases 201: 5-14. doi: 10.1086/648592 PMID: 19929380
    • (2010) Journal of Infectious Diseases , vol.201 , pp. 5-14
    • Balmaseda, A.1    Standish, K.2    Mercado, J.C.3    Matute, J.C.4    Tellez, Y.5    Saborio, S.6
  • 13
    • 79957985746 scopus 로고    scopus 로고
    • Using web search query data to monitor dengue epidemics: A new model for neglected tropical disease surveillance
    • PMID: 21647308
    • Chan EH, Sahai V, Conrad C, Brownstein JS (2011) Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS neglected tropical diseases 5: e1206. doi: 10.1371/journal.pntd.0001206 PMID: 21647308
    • (2011) PLoS Neglected Tropical Diseases , vol.5
    • Chan, E.H.1    Sahai, V.2    Conrad, C.3    Brownstein, J.S.4
  • 14
    • 65349193872 scopus 로고    scopus 로고
    • Early detection of disease outbreaks using the Internet
    • PMID: 19364791
    • Wilson K, Brownstein JS (2009) Early detection of disease outbreaks using the Internet. Canadian Medical Association Journal 180: 829-831. doi: 10.1503/cmaj.090215 PMID: 19364791
    • (2009) Canadian Medical Association Journal , vol.180 , pp. 829-831
    • Wilson, K.1    Brownstein, J.S.2
  • 15
    • 79960729298 scopus 로고    scopus 로고
    • Tuberculosis surveillance by analyzing Google trends
    • Zhou X, Ye J, Feng Y (2011) Tuberculosis surveillance by analyzing Google trends. Biomedical Engineering, IEEE Transactions on 58: 2247-2254. doi: 10.1109/TBME.2011.2132132
    • (2011) Biomedical Engineering, IEEE Transactions On , vol.58 , pp. 2247-2254
    • Zhou, X.1    Ye, J.2    Feng, Y.3
  • 17
    • 84862835806 scopus 로고    scopus 로고
    • Predicting the present with Google Trends
    • Choi H, Varian H (2012) Predicting the present with Google Trends. Economic Record 88: 2-9. doi: 10.1111/j.1475-4932.2012.00809.x
    • (2012) Economic Record , vol.88 , pp. 2-9
    • Choi, H.1    Varian, H.2
  • 18
    • 80051831902 scopus 로고    scopus 로고
    • Assessing Google flu trends performance in the united states during the 2009 influenza virus a (H1N1) pandemic
    • PMID: 21886802
    • Cook S, Conrad C, Fowlkes AL, Mohebbi MH (2011) Assessing Google flu trends performance in the united states during the 2009 influenza virus a (H1N1) pandemic. PloS one 6: e23610. doi: 10.1371/journal.pone.0023610 PMID: 21886802
    • (2011) PloS One , vol.6
    • Cook, S.1    Conrad, C.2    Fowlkes, A.L.3    Mohebbi, M.H.4
  • 19
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak
    • PMID: 21124761
    • Chew C, Eysenbach G (2010) Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak. PloS one 5: e14118. doi: 10.1371/journal.pone.0014118 PMID: 21124761
    • (2010) PloS One , vol.5
    • Chew, C.1    Eysenbach, G.2
  • 20
    • 84887293587 scopus 로고    scopus 로고
    • Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: A comparative epidemiological study at three geographic scales
    • PMID: 24146603
    • Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L (2013) Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS computational biology 9: e1003256. doi: 10.1371/journal.pcbi.1003256 PMID: 24146603
    • (2013) PLoS Computational Biology , vol.9
    • Olson, D.R.1    Konty, K.J.2    Paladini, M.3    Viboud, C.4    Simonsen, L.5
  • 22
    • 84862524329 scopus 로고    scopus 로고
    • The world of connections and information flow in twitter. Systems, Man and Cybernetics, Part A: Systems and Humans
    • Cha M, Benevenuto F, Haddadi H, Gummadi K (2012) The world of connections and information flow in twitter. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on 42: 991-998. doi: 10.1109/TSMCA.2012.2183359
    • (2012) IEEE Transactions on , vol.42 , pp. 991-998
    • Cha, M.1    Benevenuto, F.2    Haddadi, H.3    Gummadi, K.4
  • 23
    • 84903157289 scopus 로고    scopus 로고
    • See also: (accessed February 28, 2015)
    • Gallup (2013) TV is Americans' main source of news See also: www.gallup.com/poll/163412/americans-main-source-news.aspx (accessed February 28, 2015).
    • (2013) TV is Americans' Main Source of News
  • 24
    • 85032129291 scopus 로고    scopus 로고
    • See also: (accessed February 28, 2015)
    • Pew Research Center (2014) Key indicators in media and news See also: www.journalism.org/2014/03/26/state-of-the-news-media-2014-key-indicators-in-media-and-news (accessed February 28, 2015).
    • (2014) Key Indicators in Media and News
    • Pew Research Center1
  • 25
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger CW (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society: 424-438. doi: 10.2307/1912791
    • (1969) Econometrica: Journal of the Econometric Society , pp. 424-438
    • Granger, C.W.1
  • 30
    • 84857080755 scopus 로고    scopus 로고
    • Public anxiety and information seeking following the H1N1 outbreak: Blogs, newspaper articles, and Wikipedia visits
    • PMID: 21827326
    • Tausczik Y, Faasse K, Pennebaker JW, Petrie KJ (2012) Public anxiety and information seeking following the H1N1 outbreak: blogs, newspaper articles, and Wikipedia visits. Health communication 27: 179-185. doi: 10.1080/10410236.2011.571759 PMID: 21827326
    • (2012) Health Communication , vol.27 , pp. 179-185
    • Tausczik, Y.1    Faasse, K.2    Pennebaker, J.W.3    Petrie, K.J.4
  • 31
    • 84933503982 scopus 로고    scopus 로고
    • The dynamics of health behavior sentiments on a large online social network
    • Salathé M, Vu DQ, Khandelwal S, Hunter DR (2013) The dynamics of health behavior sentiments on a large online social network. EPJ Data Science 2: 1-12.
    • (2013) EPJ Data Science , vol.2 , pp. 1-12
    • Salathé, M.1    Vu, D.Q.2    Khandelwal, S.3    Hunter, D.R.4
  • 32
    • 33746341926 scopus 로고
    • The file drawer problem and tolerance for null results
    • Rosenthal R (1979) The file drawer problem and tolerance for null results. Psychological bulletin 86: 638. doi: 10.1037/0033-2909.86.3.638
    • (1979) Psychological Bulletin , vol.86 , pp. 638
    • Rosenthal, R.1
  • 33
    • 0025100849 scopus 로고
    • The existence of publication bias and risk factors for its occurrence
    • PMID: 2406472
    • Dickersin K (1990) The existence of publication bias and risk factors for its occurrence. Jama 263: 1385-1389. doi: 10.1001/jama.1990.03440100097014 PMID: 2406472
    • (1990) Jama , vol.263 , pp. 1385-1389
    • Dickersin, K.1


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