This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Information Seeking, Information Needs (426) Food Safety and Foodborne Diseases (7) Mass Media/Social Media Communication and Campaigns (450)

Published on in Vol 14, No 6 (2012): Nov-Dec

Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak

Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak

Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak

Authors of this article:

Lex van Velsen1, 2 ;   Julia E.W.C. van Gemert-Pijnen2 ;   Desirée J.M.A. Beaujean1 ;   Jobke Wentzel2 ;   Jim E. van Steenbergen1, 3
Article Authors Cited by (35) Tweetations (53) Metrics

Journals

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  3. Nebeker C, Murray K, Holub C, Haughton J, Arredondo E. Acceptance of Mobile Health in Communities Underrepresented in Biomedical Research: Barriers and Ethical Considerations for Scientists. JMIR mHealth and uHealth 2017;5(6):e87 View
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  7. SeyyedHosseini S, Asemi A, Shabani A, CheshmehSohrabi M. An infodemiology study on breast cancer in Iran. The Electronic Library 2018;36(2):258 View
  8. Liu B, Austin L, Lee Y, Jin Y, Kim S. Telling the tale: the role of narratives in helping people respond to crises. Journal of Applied Communication Research 2020;48(3):328 View
  9. Schol L, Mollers M, Swaan C, Beaujean D, Wong A, Timen A. Knowledge, perceptions and media use of the Dutch general public and healthcare workers regarding Ebola, 2014. BMC Infectious Diseases 2018;18(1) View
  10. Feinkohl I, Flemming D, Cress U, Kimmerle J. The Impact of Personality Factors and Preceding User Comments on the Processing of Research Findings on Deep Brain Stimulation: A Randomized Controlled Experiment in a Simulated Online Forum. Journal of Medical Internet Research 2016;18(3):e59 View
  11. Yoo W, Choi D, Park K. The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Computers in Human Behavior 2016;62:34 View
  12. Gesser-Edelsburg A, Walter N, Shir-Raz Y. The “New Public” and the “Good Ol’ Press”: Evaluating Online News Sources During the 2013 Polio Outbreak in Israel. Health Communication 2017;32(2):169 View
  13. Barros J, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680 View
  14. Köckerling E, Karrasch L, Schweitzer A, Razum O, Krause G. Public Health Research Resulting from One of the World’s Largest Outbreaks Caused by Entero-Hemorrhagic Escherichia coli in Germany 2011: A Review. Frontiers in Public Health 2017;5 View
  15. van Velsen L, Beaujean D, van Gemert-Pijnen J, van Steenbergen J, Timen A. Public knowledge and preventive behavior during a large-scale Salmonella outbreak: results from an online survey in the Netherlands. BMC Public Health 2014;14(1) View
  16. Overbey K, Jaykus L, Chapman B. A Systematic Review of the Use of Social Media for Food Safety Risk Communication. Journal of Food Protection 2017;80(9):1537 View
  17. Given L, Willson R, Albrecht L, Scott S. Information in crisis: Health & technology‐related information behaviors of parents in emergency departments. Proceedings of the Association for Information Science and Technology 2016;53(1):1 View
  18. Schiro J, Shan L, Tatlow-Golden M, Li C, Wall P. #Healthy: smart digital food safety and nutrition communication strategies—a critical commentary. npj Science of Food 2020;4(1) View
  19. Broekhuis M, van Velsen L, De Franco D, Pease A, Hermens H. Contextual Health Information Behavior in the Daily Lives of People with Type 2 Diabetes: A Diary Study in Scotland. Health Communication 2022;37(3):272 View
  20. Tang L, Zou W. Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China. Health Communication 2021;36(1):74 View
  21. Bapaye J, Bapaye H. Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study. JMIR Public Health and Surveillance 2021;7(1):e19858 View
  22. Superio D, Anderson K, Oducado R, Luceño M, Palcullo V, Bendalian M. The information-seeking behavior and levels of knowledge, precaution, and fear of college students in Iloilo, Philippines amidst the COVID-19 pandemic. International Journal of Disaster Risk Reduction 2021;62:102414 View
  23. Kip H, Keizer J, da Silva M, Beerlage-de Jong N, Köhle N, Kelders S. Methods for Human-Centered eHealth Development: Narrative Scoping Review. Journal of Medical Internet Research 2022;24(1):e31858 View
  24. Bandini J, Rollison J, Etchegaray J. Journaling among home care workers during the COVID-19 pandemic: A promising method for qualitative data collection. Qualitative Social Work 2023;22(2):340 View
  25. Kim S, Austin L, Liu B, Jin Y. Exploring differences in crisis literacy and efficacy on behavioral responses during infectious disease outbreaks. Public Relations Review 2022;48(3):102204 View
  26. Said Abasse K, Toulouse-Fournier A, Paquet C, Côté A, Smith P, Bergeron F, Archambault P. Collaborative writing applications in support of knowledge translation and management during pandemics: A scoping review. International Journal of Medical Informatics 2022;165:104814 View
  27. Ceretti E, Covolo L, Cappellini F, Nanni A, Sorosina S, Beatini A, Taranto M, Gasparini A, De Castro P, Brusaferro S, Gelatti U. Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review. Journal of Medical Internet Research 2022;24(9):e38541 View
  28. Austin L, Jin Y, Liu B, Kim S. Coping with outbreaks: Toward an infectious disease threat (IDT) appraisal model for risk communication. Health Communication 2023;38(7):1305 View
  29. Pan X, Luo Y. Exploring the multidimensional relationships between social media support, social confidence, perceived media credibility and life attitude during the COVID-19 pandemic. Current Psychology 2022;41(6):3388 View
  30. Kada A, Chouikh A, Mellouli S, Prashad A, Straus S, Fahim C, Gaito S. An exploration of Canadian government officials’ COVID-19 messages and the public’s reaction using social media data. PLOS ONE 2022;17(9):e0273153 View
  31. Tang L, York F, Zou W. Middle-Aged and Older African Americans' Information Use During the COVID-19 Pandemic: An Interview Study. Frontiers in Public Health 2021;9 View
  32. Das M, Ramalingam M. To praise or not to praise- Role of word of mouth in food delivery apps. Journal of Retailing and Consumer Services 2023;74:103408 View

Books/Policy Documents

  1. Jackson-Davis A, Olsen S, Chapman B, Raymond B, Chaifetz A. Food Safety. View
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