1.Kaplan AM, Haenlein M. Users of the world, unite! The challenges and opportunities of Social Media. Business horizons. 2010;53:59–68.
2.Rutsaert P, Regan Á, Pieniak Z, McConnon Á, Moss A, Wall P, Verbeke W. The use of social media in food risk and benefit communication. Trends in Food Science & Technology. 2013;30:84–91.
3.Winer RS. New communications approaches in marketing: Issues and research directions. Journal of interactive marketing. 2009;23:108–117.
4.Chapman B, Raymond B, Powell D. Potential of social media as a tool to combat foodborne illness. Perspectives in public health. 2014;134:225–230.
5.Thackeray R, Neiger BL, Hanson CL, McKenzie JF. Enhancing promotional strategies within social marketing programs: use of Web 2.0 social media. Health promotion practice. 2008;9:338–343.
6.Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of medical Internet research. 2013;15.
7.Neiger BL, Thackeray R, Burton SH, Thackeray CR, Reese JH. Use of twitter among local health departments: an analysis of information sharing, engagement, and action. Journal of medical Internet research. 2013;15.
8.Sharma M, Yadav K, Yadav N, Ferdinand KC. Zika virus pandemic—analysis of Facebook as a social media health information platform. American journal of infection control. 2017;45:301–302.
9.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. Journal of the American Medical Informatics Association. 2017;24:1155–1159.
10.Fu K-W, Liang H, Saroha N, Tse ZTH, Ip P, Fung IC-H. How people react to Zika virus outbreaks on Twitter? A computational content analysis. American journal of infection control. 2016;44:1700–1702.
11.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. American journal of infection control. 2016;44:1709–1711.
12.Stefanidis A, Vraga E, Lamprianidis G, Radzikowski J, Delamater PL, Jacobsen KH, Pfoser D, Croitoru A, Crooks A. Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts. JMIR Public Health Surveill. 2017;3:e22. 10.2196/publichealth.6925
13.Vijaykumar S, Nowak G, Himelboim I, Jin Y. Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter. Am J Infect Control. 2018;46:549–557. 10.1016/j.ajic.2017.10.015
14.Dredze M, Broniatowski DA, Hilyard KM. Zika vaccine misconceptions: A social media analysis. Vaccine. 2016;34:3441.
15.Lwin M, Lu J, Sheldenkar A, Schulz P. Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model. International Journal of Environmental Research and Public Health. 2018;15:1974.
16.Health Mo. Weekly infectious disease bulletin. In.; 2016.
17.Chia L. Singapore’s Zika journey: Two months on. In: Channel News Asia. Singapore; 2016.
18.Singapore a role model in its handling of Zika: WHO. In: The Straitstimes Singapore; 2016.
19.Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K. The use of google trends in health care research: a systematic review. PloS one. 2014;9:e109583.
20.Adebayo G, Neumark Y, Gesser-Edelsburg A, Ahmad WA, Levine H. Zika pandemic online trends, incidence and health risk communication: a time trend study. BMJ global health. 2017;2:e000296.
21.Alicino C, Bragazzi NL, Faccio V, Amicizia D, Panatto D, Gasparini R, Icardi G, Orsi A. Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes. Infectious diseases of poverty. 2015;4:54.
22.Kenneth Benoit DM, Kohei Watanabe. stopwords: Multilingual Stopword Lists. In.; 2017.
23.Team RC. R: A language and environment for statistical
computing. In. Vienna, Austria: R Foundation for Statistical Computing; 2013.
24.Wijffels J. udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the ‘UDPipe’ ‘NLP’ Toolkit. R package version 0.6. In.; 2018.
25.Meyer D, Hornik K, Feinerer I. Text mining infrastructure in R. Journal of statistical software. 2008;25:1–54.
26.Wickham H: ggplot2: elegant graphics for data analysis: Springer; 2016.
27.Fellows I. wordcloud: Word Clouds. In.; 2014.
28.Csardi G, Nepusz T. The igraph software package for complex network research. InterJournal, Complex Systems. 2006;1695:1–9.
29.Kwak H, Lee C, Park H, Moon S: What is Twitter, a social network or a news media? In: Proceedings of the 19th international conference on World wide web: 2010: AcM; 2010: 591–600.
30.Osborne M, Dredze M: Facebook, Twitter and Google Plus for breaking news: Is there a winner? In: ICWSM: 2014; 2014.
31.Reynolds B, W. SEEGER M. Crisis and emergency risk communication as an integrative model. Journal of health communication. 2005;10:43–55.
32.Radzikowski J, Stefanidis A, Jacobsen KH, Croitoru A, Crooks A, Delamater PL. The measles vaccination narrative in Twitter: a quantitative analysis. JMIR public health and surveillance. 2016;2.