-
1
-
-
85048681130
-
-
(accessed February 4, 2018)
-
World Health Organization. (2018). Available from: http://www.who.int/tdr/en/(accessed February 4, 2018)
-
(2018)
-
-
Organization, W.H.1
-
2
-
-
85048689014
-
-
(accessed February 4, 2018)
-
World Health Organization. Neglected Tropical Diseases (2017). Available from: http://www.who.int/neglected_diseases/en/(accessed February 4, 2018)
-
(2017)
-
-
-
3
-
-
84907757154
-
Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment
-
Mackey TK, Liang BA, Cuomo R, Hafen R, Brouwer KC, Lee DE. Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment. Clin Microbiol Rev (2014) 27(4):949-79. doi:10.1128/CMR.00045-14
-
(2014)
Clin Microbiol Rev
, vol.27
, Issue.4
, pp. 949-979
-
-
Mackey, T.K.1
Liang, B.A.2
Cuomo, R.3
Hafen, R.4
Brouwer, K.C.5
Lee, D.E.6
-
4
-
-
85036582498
-
The poverty-related neglected diseases: why basic research matters
-
Hotez PJ. The poverty-related neglected diseases: why basic research matters. PLoS Biol (2017) 15(11):e2004186. doi:10.1371/journal.pbio. 2004186
-
(2017)
PLoS Biol
, vol.15
, Issue.11
-
-
Hotez, P.J.1
-
5
-
-
85014212015
-
Emerging and neglected infectious diseases: insights, advances, and challenges
-
Nii-Trebi NI. Emerging and neglected infectious diseases: insights, advances, and challenges. Biomed Res Int (2017) 2017:5245021. doi:10.1155/2017/5245021
-
(2017)
Biomed Res Int
, vol.2017
-
-
Nii-Trebi, N.I.1
-
6
-
-
85015413550
-
Re-imagining the future of diagnosis of neglected tropical diseases
-
Peeling RW, Boeras DI, Nkengasong J. Re-imagining the future of diagnosis of neglected tropical diseases. Comput Struct Biotechnol J (2017) 15:271-4. doi:10.1016/j.csbj.2017.02.003
-
(2017)
Comput Struct Biotechnol J
, vol.15
, pp. 271-274
-
-
Peeling, R.W.1
Boeras, D.I.2
Nkengasong, J.3
-
7
-
-
66149157263
-
Digital disease detection-harnessing the Web for public health surveillance
-
Brownstein JS, Freifeld CC, MadoffLC. Digital disease detection-harnessing the Web for public health surveillance. N Engl J Med (2009) 360(21):2153-5. doi:10.1056/NEJMp0900702
-
(2009)
N Engl J Med
, vol.360
, Issue.21
, pp. 2153-2155
-
-
Brownstein, J.S.1
Freifeld, C.C.2
Madoff, L.C.3
-
8
-
-
65349193872
-
Early detection of disease outbreaks using the Internet
-
Wilson K, Brownstein JS. Early detection of disease outbreaks using the Internet. CMAJ (2009) 180(8):829-31. doi:10.1503/cmaj.090215
-
(2009)
CMAJ
, vol.180
, Issue.8
, pp. 829-831
-
-
Wilson, K.1
Brownstein, J.S.2
-
9
-
-
84958762492
-
Enhancing disease surveillance with novel data streams: challenges and opportunities
-
Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J, et al. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci (2015) 4:17. doi:10.1140/epjds/s13688-015-0054-0
-
(2015)
EPJ Data Sci
, vol.4
, pp. 17
-
-
Althouse, B.M.1
Scarpino, S.V.2
Meyers, L.A.3
Ayers, J.W.4
Bargsten, M.5
Baumbach, J.6
-
10
-
-
84896056107
-
Big data The parable of Google Flu: traps in big data analysis
-
Lazer D, Kennedy R, King G, Vespignani A. Big data. The parable of Google Flu: traps in big data analysis. Science (2014) 343(6176):1203-5. doi:10.1126/science.1248506
-
(2014)
Science
, vol.343
, Issue.6176
, pp. 1203-1205
-
-
Lazer, D.1
Kennedy, R.2
King, G.3
Vespignani, A.4
-
11
-
-
67651237086
-
Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet
-
Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res (2009) 11(1):e11. doi:10.2196/jmir.1157
-
(2009)
J Med Internet Res
, vol.11
, Issue.1
-
-
Eysenbach, G.1
-
12
-
-
0037115498
-
Infodemiology: the epidemiology of (mis)information
-
Eysenbach G. Infodemiology: the epidemiology of (mis)information. Am J Med (2002) 113(9):763-5. doi:10.1016/S0002-9343(02)01473-0
-
(2002)
Am J Med
, vol.113
, Issue.9
, pp. 763-765
-
-
Eysenbach, G.1
-
13
-
-
68049122102
-
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
-
Moher D, Liberati A, TetzlaffJ, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med (2009) 6(7):e1000097. doi:10.1371/journal.pmed.1000097
-
(2009)
PLoS Med
, vol.6
, Issue.7
-
-
Moher, D.1
Liberati, A.2
Tetzlaff, J.3
Altman, D.G.4
Group, P.5
-
14
-
-
85025452911
-
An ecological and digital epidemiology analysis on the role of human behavior on the 2014 Chikungunya outbreak in Martinique
-
Roche B, Gaillard B, Leger L, Pelagie-Moutenda R, Sochacki T, Cazelles B, et al. An ecological and digital epidemiology analysis on the role of human behavior on the 2014 Chikungunya outbreak in Martinique. Sci Rep (2017) 7(1):5967. doi:10.1038/s41598-017-05957-y
-
(2017)
Sci Rep
, vol.7
, Issue.1
, pp. 5967
-
-
Roche, B.1
Gaillard, B.2
Leger, L.3
Pelagie-Moutenda, R.4
Sochacki, T.5
Cazelles, B.6
-
15
-
-
85026739672
-
Dengue prediction by the web: tweets are a useful tool for estimating and forecasting Dengue at country and city level
-
Marques-Toledo CA, Degener CM, Vinhal L, Coelho G, Meira W, Codeco CT, et al. Dengue prediction by the web: tweets are a useful tool for estimating and forecasting Dengue at country and city level. PLoS Negl Trop Dis (2017) 11(7):e0005729. doi:10.1371/journal.pntd.0005729
-
(2017)
PLoS Negl Trop Dis
, vol.11
, Issue.7
-
-
Marques-Toledo, C.A.1
Degener, C.M.2
Vinhal, L.3
Coelho, G.4
Meira, W.5
Codeco, C.T.6
-
16
-
-
85019937874
-
Social media as a sentinel for disease surveillance: what does sociodemographic status have to do with it?
-
Nsoesie EO, Flor L, Hawkins J, Maharana A, Skotnes T, Marinho F, et al. Social media as a sentinel for disease surveillance: what does sociodemographic status have to do with it? PLoS Curr (2016) 8:1-17. doi:10.1371/currents. outbreaks.cc09a42586e16dc7dd62813b7ee5d6b6
-
(2016)
PLoS Curr
, vol.8
, pp. 1-17
-
-
Nsoesie, E.O.1
Flor, L.2
Hawkins, J.3
Maharana, A.4
Skotnes, T.5
Marinho, F.6
-
17
-
-
85009948917
-
Temporal topic modeling to assess associations between news trends and infectious disease outbreaks
-
Ghosh S, Chakraborty P, Nsoesie EO, Cohn E, Mekaru SR, Brownstein JS, et al. Temporal topic modeling to assess associations between news trends and infectious disease outbreaks. Sci Rep (2017) 7:40841. doi:10.1038/srep40841
-
(2017)
Sci Rep
, vol.7
, pp. 40841
-
-
Ghosh, S.1
Chakraborty, P.2
Nsoesie, E.O.3
Cohn, E.4
Mekaru, S.R.5
Brownstein, J.S.6
-
18
-
-
84893233396
-
Dengue surveillance based on a computational model of spatio-temporal locality of Twitter
-
Gomide J, Veloso A, Meira W, Almeida V, Benevenuto F, Ferraz F, et al. Dengue surveillance based on a computational model of spatio-temporal locality of Twitter. ACM Web Sci Conf (2011) 14(17):1-8. doi:10.1145/2527031. 2527049
-
(2011)
ACM Web Sci Conf
, vol.14
, Issue.17
, pp. 1-8
-
-
Gomide, J.1
Veloso, A.2
Meira, W.3
Almeida, V.4
Benevenuto, F.5
Ferraz, F.6
-
19
-
-
85032635968
-
Developing a dengue forecast model using machine learning: a case study in China
-
Guo P, Liu T, Zhang Q, Wang L, Xiao J, Zhang Q, et al. Developing a dengue forecast model using machine learning: a case study in China. PLoS Negl Trop Dis (2017) 11(10):e0005973. doi:10.1371/journal.pntd.0005973
-
(2017)
PLoS Negl Trop Dis
, vol.11
, Issue.10
-
-
Guo, P.1
Liu, T.2
Zhang, Q.3
Wang, L.4
Xiao, J.5
Zhang, Q.6
-
20
-
-
85016986871
-
Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: a case study in Guangzhou, China
-
Li Z, Liu T, Zhu G, Lin H, Zhang Y, He J, et al. Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: a case study in Guangzhou, China. PLoS Negl Trop Dis (2017) 11(3):1-13. doi:10.1371/journal.pntd.0005354
-
(2017)
PLoS Negl Trop Dis
, vol.11
, Issue.3
, pp. 1-13
-
-
Li, Z.1
Liu, T.2
Zhu, G.3
Lin, H.4
Zhang, Y.5
He, J.6
-
21
-
-
84958179096
-
YouTube videos as a source of medical information during the Ebola hemorrhagic fever epidemic
-
Nagpal SJ, Karimianpour A, Mukhija D, Mohan D, Brateanu A. YouTube videos as a source of medical information during the Ebola hemorrhagic fever epidemic. Springerplus (2015) 4:457. doi:10.1186/s40064-015-1251-9
-
(2015)
Springerplus
, vol.4
, pp. 457
-
-
Nagpal, S.J.1
Karimianpour, A.2
Mukhija, D.3
Mohan, D.4
Brateanu, A.5
-
22
-
-
85019000876
-
Health risk information engagement and amplification on social media
-
Strekalova YA. Health risk information engagement and amplification on social media. Health Educ Behav (2017) 44(2):332-9. doi:10.1177/1090198116660310
-
(2017)
Health Educ Behav
, vol.44
, Issue.2
, pp. 332-339
-
-
Strekalova, Y.A.1
-
23
-
-
84931022706
-
What can we learn about the Ebola outbreak from tweets?
-
Odlum M, Yoon S. What can we learn about the Ebola outbreak from tweets? Am J Infect Control (2015) 43(6):563-71. doi:10.1016/j.ajic.2015.02.023
-
(2015)
Am J Infect Control
, vol.43
, Issue.6
, pp. 563-571
-
-
Odlum, M.1
Yoon, S.2
-
24
-
-
84937406838
-
YouTube as a source of information on Ebola virus disease
-
Pathak R, Poudel DR, Karmacharya P, Pathak A, Aryal MR, Mahmood M, et al. YouTube as a source of information on Ebola virus disease. N Am J Med Sci (2015) 7(7):306-9. doi:10.4103/1947-2714.161244
-
(2015)
N Am J Med Sci
, vol.7
, Issue.7
, pp. 306-309
-
-
Pathak, R.1
Poudel, D.R.2
Karmacharya, P.3
Pathak, A.4
Aryal, M.R.5
Mahmood, M.6
-
25
-
-
85028673652
-
Digital health communication and global public influence: a study of the Ebola epidemic
-
Roberts H, Seymour B, Fish SA II, Robinson E, Zuckerman E. Digital health communication and global public influence: a study of the Ebola epidemic. J Health Commun (2017) 22(Sup 1):51-8. doi:10.1080/10810730.2016. 1209598
-
(2017)
J Health Commun
, vol.22
, pp. 51-58
-
-
Roberts, H.1
Seymour, B.2
Fish, S.A.3
Robinson, E.4
Zuckerman, E.5
-
26
-
-
84969981043
-
Communicating the ontological narrative of Ebola: an emerging disease in the time of "epidemic 2.0"
-
Sastry S, Lovari A. Communicating the ontological narrative of Ebola: an emerging disease in the time of "epidemic 2.0". Health Commun (2017) 32(3):329-38. doi:10.1080/10410236.2016.1138380
-
(2017)
Health Commun
, vol.32
, Issue.3
, pp. 329-338
-
-
Sastry, S.1
Lovari, A.2
-
27
-
-
84981555689
-
Chinese public attention to the outbreak of Ebola in West Africa: evidence from the online big data platform
-
Liu K, Li L, Jiang T, Chen B, Jiang Z, Wang Z, et al. Chinese public attention to the outbreak of Ebola in West Africa: evidence from the online big data platform. Int J Environ Res Public Health (2016) 13(8):E780. doi:10.3390/ijerph13080780
-
(2016)
Int J Environ Res Public Health
, vol.13
, Issue.8
-
-
Liu, K.1
Li, L.2
Jiang, T.3
Chen, B.4
Jiang, Z.5
Wang, Z.6
-
28
-
-
84981356265
-
Communicating Ebola through social media and electronic news media outlets: a cross-sectional study
-
Househ M. Communicating Ebola through social media and electronic news media outlets: a cross-sectional study. Health Informatics J (2016) 22(3):470-8. doi:10.1177/1460458214568037
-
(2016)
Health Informatics J
, vol.22
, Issue.3
, pp. 470-478
-
-
Househ, M.1
-
29
-
-
84919906574
-
Misinformation propagation in the age of Twitter
-
Jin F, Wng W, Zhao L, Dougherty E, Cao Y, Lu CT, et al. Misinformation propagation in the age of Twitter. Browse J Mag (2014) 47(12):90-4. doi:10.1109/MC.2014.361
-
(2014)
Browse J Mag
, vol.47
, Issue.12
, pp. 90-94
-
-
Jin, F.1
Wng, W.2
Zhao, L.3
Dougherty, E.4
Cao, Y.5
Lu, C.T.6
-
30
-
-
84942981452
-
Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat
-
Lazard AJ, Scheinfeld E, Bernhardt JM, Wilcox GB, Suran M. Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat. Am J Infect Control (2015) 43(10):1109-11. doi:10.1016/j.ajic.2015.05.025
-
(2015)
Am J Infect Control
, vol.43
, Issue.10
, pp. 1109-1111
-
-
Lazard, A.J.1
Scheinfeld, E.2
Bernhardt, J.M.3
Wilcox, G.B.4
Suran, M.5
-
31
-
-
84962424457
-
Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes
-
Alicino C, Bragazzi NL, Faccio V, Amicizia D, Panatto D, Gasparini R, et al. Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes. Infect Dis Poverty (2015) 4:54. doi:10.1186/s40249-015-0090-9
-
(2015)
Infect Dis Poverty
, vol.4
, pp. 54
-
-
Alicino, C.1
Bragazzi, N.L.2
Faccio, V.3
Amicizia, D.4
Panatto, D.5
Gasparini, R.6
-
32
-
-
84948576052
-
Coverage of the Ebola virus disease epidemic on YouTube
-
Basch CH, Basch CE, Ruggles KV, Hammond R. Coverage of the Ebola virus disease epidemic on YouTube. Disaster Med Public Health Prep (2015) 9(5):531-5. doi:10.1017/dmp.2015.77
-
(2015)
Disaster Med Public Health Prep
, vol.9
, Issue.5
, pp. 531-535
-
-
Basch, C.H.1
Basch, C.E.2
Ruggles, K.V.3
Hammond, R.4
-
33
-
-
84919360678
-
Ebola and the social media
-
Fung IC, Tse ZT, Cheung CN, Miu AS, Fu KW. Ebola and the social media. Lancet (2014) 384(9961):2207. doi:10.1016/S0140-6736(14)62418-1
-
(2014)
Lancet
, vol.384
, Issue.9961
, pp. 2207
-
-
Fung, I.C.1
Tse, Z.T.2
Cheung, C.N.3
Miu, A.S.4
Fu, K.W.5
-
34
-
-
84964787366
-
Social media's initial reaction to information and misinformation on Ebola, August 2014: facts and rumors
-
Fung IC, Fu KW, Chan CH, Chan BS, Cheung CN, Abraham T, et al. Social media's initial reaction to information and misinformation on Ebola, August 2014: facts and rumors. Public Health Rep (2016) 131(3):461-73. doi:10.1177/003335491613100312
-
(2016)
Public Health Rep
, vol.131
, Issue.3
, pp. 461-473
-
-
Fung, I.C.1
Fu, K.W.2
Chan, C.H.3
Chan, B.S.4
Cheung, C.N.5
Abraham, T.6
-
35
-
-
85012044262
-
Local health departments tweeting about Ebola: characteristics and messaging
-
Wong R, Harris JK, Staub M, Bernhardt JM. Local health departments tweeting about Ebola: characteristics and messaging. J Public Health Manag Pract (2017) 23(2):e16-24. doi:10.1097/PHH.0000000000000342
-
(2017)
J Public Health Manag Pract
, vol.23
, Issue.2
, pp. e16-e24
-
-
Wong, R.1
Harris, J.K.2
Staub, M.3
Bernhardt, J.M.4
-
36
-
-
84936088628
-
Mass media and the contagion of fear: the case of Ebola in America
-
Towers S, Afzal S, Bernal G, Bliss N, Brown S, Espinoza B, et al. Mass media and the contagion of fear: the case of Ebola in America. PLoS One (2015) 10(6):e0129179. doi:10.1371/journal.pone.0129179
-
(2015)
PLoS One
, vol.10
, Issue.6
-
-
Towers, S.1
Afzal, S.2
Bernal, G.3
Bliss, N.4
Brown, S.5
Espinoza, B.6
-
37
-
-
85021788238
-
Too far to care? Measuring public attention and fear for Ebola using Twitter
-
van Lent LG, Sungur H, Kunneman FA, van de Velde B, Das E. Too far to care? Measuring public attention and fear for Ebola using Twitter. J Med Internet Res (2017) 19(6):e193. doi:10.2196/jmir.7219
-
(2017)
J Med Internet Res
, vol.19
, Issue.6
-
-
van Lent, L.G.1
Sungur, H.2
Kunneman, F.A.3
van Velde, B.4
Das, E.5
-
38
-
-
85033468910
-
#Globalhealth Twitter conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a cross-sectional analysis
-
Fung IC-H, Jackson AM, Ahweyevu JO, Grizzle JH, Yin J, Tse ZTH, et al. #Globalhealth Twitter conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a cross-sectional analysis. Ann Global Health (2017) 83(3-4):682-90. doi:10.1016/j.aogh.2017.09.006
-
(2017)
Ann Global Health
, vol.83
, Issue.3-4
, pp. 682-690
-
-
Fung, I.C.-H.1
Jackson, A.M.2
Ahweyevu, J.O.3
Grizzle, J.H.4
Yin, J.5
Tse, Z.T.H.6
-
39
-
-
85015934846
-
Zika-virus-related photo sharing on Pinterest and Instagram
-
Fung IC, Blankenship EB, GoffME, Mullican LA, Chan KC, Saroha N, et al. Zika-virus-related photo sharing on Pinterest and Instagram. Disaster Med Public Health Prep (2017) 11(6):656-9. doi:10.1017/dmp.2017.23
-
(2017)
Disaster Med Public Health Prep
, vol.11
, Issue.6
, pp. 656-659
-
-
Fung, I.C.1
Blankenship, E.B.2
Goff, M.E.3
Mullican, L.A.4
Chan, K.C.5
Saroha, N.6
-
40
-
-
84886738403
-
Using search queries for malaria surveillance, Thailand
-
Ocampo AJ, Chunara R, Brownstein JS. Using search queries for malaria surveillance, Thailand. Malar J (2013) 12:390. doi:10.1186/1475-2875-12-390
-
(2013)
Malar J
, vol.12
, pp. 390
-
-
Ocampo, A.J.1
Chunara, R.2
Brownstein, J.S.3
-
41
-
-
85048661641
-
Discrepancies between classic and digital epidemiology in searching for the Mayaro virus: preliminary qualitative and quantitative analysis of Google trends
-
Adawi M, Bragazzi NL, Watad A, Sharif K, Amital H, Mahroum N. Discrepancies between classic and digital epidemiology in searching for the Mayaro virus: preliminary qualitative and quantitative analysis of Google trends. JMIR Public Health Surveill (2017) 3(4):e93. doi:10.2196/publichealth.9136
-
(2017)
JMIR Public Health Surveill
, vol.3
, Issue.4
-
-
Adawi, M.1
Bragazzi, N.L.2
Watad, A.3
Sharif, K.4
Amital, H.5
Mahroum, N.6
-
42
-
-
85014359949
-
Infodemiological data of West-Nile virus disease in Italy in the study period 2004-2015
-
Bragazzi NL, Bacigaluppi S, Robba C, Siri A, Canepa G, Brigo F. Infodemiological data of West-Nile virus disease in Italy in the study period 2004-2015. Data Brief (2016) 9:839-45. doi:10.1016/j.dib.2016.10.022
-
(2016)
Data Brief
, vol.9
, pp. 839-845
-
-
Bragazzi, N.L.1
Bacigaluppi, S.2
Robba, C.3
Siri, A.4
Canepa, G.5
Brigo, F.6
-
43
-
-
85048671736
-
Now-casting/forecasting the West-Nile virus in the USA: an extensive novel data streams-based time series analysis and structural equation modeling of related digital searching behavior
-
(in press)
-
Watad A, Watad S, Mahroum N, Higazi T, Brigo F, Igwe S, et al. Now-casting/forecasting the West-Nile virus in the USA: an extensive novel data streams-based time series analysis and structural equation modeling of related digital searching behavior. EPJ Data Science (2018) (in press)
-
(2018)
EPJ Data Science
-
-
Watad, A.1
Watad, S.2
Mahroum, N.3
Higazi, T.4
Brigo, F.5
Igwe, S.6
-
44
-
-
85018545617
-
Zika virus on YouTube: an analysis of English-language video content by source
-
Basch CH, Fung IC, Hammond RN, Blankenship EB, Tse ZT, Fu KW, et al. Zika virus on YouTube: an analysis of English-language video content by source. J Prev Med Public Health (2017) 50(2):133-40. doi:10.3961/jpmph. 16.107
-
(2017)
J Prev Med Public Health
, vol.50
, Issue.2
, pp. 133-140
-
-
Basch, C.H.1
Fung, I.C.2
Hammond, R.N.3
Blankenship, E.B.4
Tse, Z.T.5
Fu, K.W.6
-
45
-
-
85029717723
-
Global reaction to the recent outbreaks of Zika virus: insights from a Big Data analysis
-
Bragazzi NL, Alicino C, Trucchi C, Paganino C, Barberis I, Martini M, et al. Global reaction to the recent outbreaks of Zika virus: insights from a Big Data analysis. PLoS One (2017) 12(9):e0185263. doi:10.1371/journal.pone. 0185263
-
(2017)
PLoS One
, vol.12
, Issue.9
-
-
Bragazzi, N.L.1
Alicino, C.2
Trucchi, C.3
Paganino, C.4
Barberis, I.5
Martini, M.6
-
46
-
-
84969705905
-
Zika vaccine misconceptions: a social media analysis
-
Dredze M, Broniatowski DA, Hilyard KM. Zika vaccine misconceptions: a social media analysis. Vaccine (2016) 34(30):3441-2. doi:10.1016/j.vaccine.2016. 05.008
-
(2016)
Vaccine
, vol.34
, Issue.30
, pp. 3441-3442
-
-
Dredze, M.1
Broniatowski, D.A.2
Hilyard, K.M.3
-
47
-
-
84994116588
-
How people react to Zika virus outbreaks on Twitter? A computational content analysis
-
Fu KW, 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) 44(12):1700-2. doi:10.1016/j.ajic.2016.04.253
-
(2016)
Am J Infect Control
, vol.44
, Issue.12
, pp. 1700-1702
-
-
Fu, K.W.1
Liang, H.2
Saroha, N.3
Tse, Z.T.4
Ip, P.5
Fung, I.C.6
-
48
-
-
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
-
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) 44(12):1709-11. doi:10.1016/j.ajic.2016.05.025
-
(2016)
Am J Infect Control
, vol.44
, Issue.12
, pp. 1709-1711
-
-
Glowacki, E.M.1
Lazard, A.J.2
Wilcox, G.B.3
Mackert, M.4
Bernhardt, J.M.5
-
49
-
-
85010904585
-
Use of obstetric practice web sites to distribute Zika virus information to pregnant women during a Zika virus outbreak
-
Lehnert JD, Ellingson MK, Goryoka GW, Kasturi R, Maier E, Chamberlain AT. Use of obstetric practice web sites to distribute Zika virus information to pregnant women during a Zika virus outbreak. J Public Health Manag Pract (2017) 23(6):608-13. doi:10.1097/PHH.0000000000000537
-
(2017)
J Public Health Manag Pract
, vol.23
, Issue.6
, pp. 608-613
-
-
Lehnert, J.D.1
Ellingson, M.K.2
Goryoka, G.W.3
Kasturi, R.4
Maier, E.5
Chamberlain, A.T.6
-
50
-
-
84989912096
-
Utilizing nontraditional data sources for near real-time estimation of transmission dynamics during the 2015-2016 Colombian Zika Virus disease outbreak
-
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) 2(1):e30. doi:10.2196/publichealth. 5814
-
(2016)
JMIR Public Health Surveill
, vol.2
, Issue.1
-
-
Majumder, M.S.1
Santillana, M.2
Mekaru, S.R.3
McGinnis, D.P.4
Khan, K.5
Brownstein, J.S.6
-
51
-
-
85012923147
-
Forecasting Zika incidence in the 2016 Latin America outbreak combining traditional disease surveillance with search, social media, and news report data
-
McGough SF, Brownstein JS, Hawkins JB, Santillana M. Forecasting Zika incidence in the 2016 Latin America outbreak combining traditional disease surveillance with search, social media, and news report data. PLoS Negl Trop Dis (2017) 11(1):e0005295. doi:10.1371/journal.pntd.0005295
-
(2017)
PLoS Negl Trop Dis
, vol.11
, Issue.1
-
-
McGough, S.F.1
Brownstein, J.S.2
Hawkins, J.B.3
Santillana, M.4
-
52
-
-
85045831651
-
What are people tweeting about Zika? An exploratory study concerning its symptoms, treatment, transmission, and prevention
-
Miller M, Banerjee T, Muppalla R, Romine W, Sheth A. What are people tweeting about Zika? An exploratory study concerning its symptoms, treatment, transmission, and prevention. JMIR Public Health Surveill (2017) 3(2):e38. doi:10.2196/publichealth.7157
-
(2017)
JMIR Public Health Surveill
, vol.3
, Issue.2
-
-
Miller, M.1
Banerjee, T.2
Muppalla, R.3
Romine, W.4
Sheth, A.5
-
53
-
-
85027263689
-
Public sentiment and discourse about Zika virus on Instagram
-
Seltzer EK, Horst-Martz E, Lu M, Merchant RM. Public sentiment and discourse about Zika virus on Instagram. Public Health (2017) 150:170-5. doi:10.1016/j.puhe.2017.07.015
-
(2017)
Public Health
, vol.150
, pp. 170-175
-
-
Seltzer, E.K.1
Horst-Martz, E.2
Lu, M.3
Merchant, R.M.4
-
54
-
-
85006097302
-
Zika virus pandemic-analysis of Facebook as a social media health information platform
-
Sharma M, Yadav K, Yadav N, Ferdinand KC. Zika virus pandemic-analysis of Facebook as a social media health information platform. Am J Infect Control (2017) 45(3):301-2. doi:10.1016/j.ajic.2016.08.022
-
(2017)
Am J Infect Control
, vol.45
, Issue.3
, pp. 301-302
-
-
Sharma, M.1
Yadav, K.2
Yadav, N.3
Ferdinand, K.C.4
-
55
-
-
84974831732
-
Zika virus-related news coverage and online behavior, United States, Guatemala, and Brazil
-
Southwell BG, Dolina S, Jimenez-Magdaleno K, Squiers LB, Kelly BJ. Zika virus-related news coverage and online behavior, United States, Guatemala, and Brazil. Emerg Infect Dis (2016) 22(7):1320-1. doi:10.3201/eid2207. 160415
-
(2016)
Emerg Infect Dis
, vol.22
, Issue.7
, pp. 1320-1321
-
-
Southwell, B.G.1
Dolina, S.2
Jimenez-Magdaleno, K.3
Squiers, L.B.4
Kelly, B.J.5
-
56
-
-
85087395981
-
Zika in Twitter: temporal variations of locations, actors, and concepts
-
Stefanidis A, Vraga E, Lamprianidis G, Radzikowski J, Delamater PL, Jacobsen KH, et al. Zika in Twitter: temporal variations of locations, actors, and concepts. JMIR Public Health Surveill (2017) 3(2):e22. doi:10.2196/publichealth.6925
-
(2017)
JMIR Public Health Surveill
, vol.3
, Issue.2
-
-
Stefanidis, A.1
Vraga, E.2
Lamprianidis, G.3
Radzikowski, J.4
Delamater, P.L.5
Jacobsen, K.H.6
-
57
-
-
85009227815
-
Dynamic forecasting of Zika epidemics using Google trends
-
Teng Y, Bi D, Xie G, Jin Y, Huang Y, Lin B, et al. Dynamic forecasting of Zika epidemics using Google trends. PLoS One (2017) 12(1):e0165085. doi:10.1371/journal.pone.0165085
-
(2017)
PLoS One
, vol.12
, Issue.1
-
-
Teng, Y.1
Bi, D.2
Xie, G.3
Jin, Y.4
Huang, Y.5
Lin, B.6
-
58
-
-
85032964041
-
What's buzzing on your feed? Health authorities' use of Facebook to combat Zika in Singapore
-
Vijaykumar S, Meurzec RW, Jayasundar K, Pagliari C, Fernandopulle Y. What's buzzing on your feed? Health authorities' use of Facebook to combat Zika in Singapore. J Am Med Inform Assoc (2017) 24(6):1155-9. doi:10.1093/jamia/ocx028
-
(2017)
J Am Med Inform Assoc
, vol.24
, Issue.6
, pp. 1155-1159
-
-
Vijaykumar, S.1
Meurzec, R.W.2
Jayasundar, K.3
Pagliari, C.4
Fernandopulle, Y.5
-
59
-
-
85021734175
-
Emerging arboviruses: why today?
-
Gould E, Pettersson J, Higgs S, Charrel R, de Lamballerie X. Emerging arboviruses: why today? One Health (2017) 4:1-13. doi:10.1016/j.onehlt.2017.06.001
-
(2017)
One Health
, vol.4
, pp. 1-13
-
-
Gould, E.1
Pettersson, J.2
Higgs, S.3
Charrel, R.4
de Lamballerie, X.5
-
60
-
-
85027967854
-
Forecasting the spread of mosquito-borne disease using publicly accessible data: a case study in Chikungunya
-
Cooper KM, Bastola DR, Gandhi R, Ghersi D, Hinrichs S, Morien M, et al. Forecasting the spread of mosquito-borne disease using publicly accessible data: a case study in Chikungunya. AMIA Annu Symp Proc (2016) 2016: 431-40
-
(2016)
AMIA Annu Symp Proc
, vol.2016
, pp. 431-440
-
-
Cooper, K.M.1
Bastola, D.R.2
Gandhi, R.3
Ghersi, D.4
Hinrichs, S.5
Morien, M.6
-
61
-
-
84898767960
-
Could behavioral medicine lead the web data revolution?
-
Ayers JW, Althouse BM, Dredze M. Could behavioral medicine lead the web data revolution? JAMA (2014) 311(14):1399-400. doi:10.1001/jama.2014.1505
-
(2014)
JAMA
, vol.311
, Issue.14
, pp. 1399-1400
-
-
Ayers, J.W.1
Althouse, B.M.2
Dredze, M.3
|