Published on in Vol 15, No 7 (2013): July

Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?

Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?

Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?

Journals

  1. Harris J, Choucair B, Maier R, Jolani N, Bernhardt J. Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership. Journal of Medical Internet Research 2014;16(2):e31 View
  2. Pesälä S, Virtanen M, Mukka M, Ylilammi K, Mustonen P, Kaila M, Helve O. Healthcare professionals’ queries on oseltamivir and influenza in Finland 2011‐2016—Can we detect influenza epidemics with specific online searches?. Influenza and Other Respiratory Viruses 2019;13(4):364 View
  3. Gesser-Edelsburg A, Stolero N, Mordini E, Billingsley M, James J, Green M. Emerging Infectious Disease (EID) Communication During the 2009 H1N1 Influenza Outbreak: Literature Review (2009-2013) of the Methodology Used for EID Communication Analysis. Disaster Medicine and Public Health Preparedness 2015;9(2):199 View
  4. Semakula D, Nsangi A, Oxman M, Austvoll-Dahlgren A, Rosenbaum S, Kaseje M, Nyirazinyoye L, Fretheim A, Chalmers I, Oxman A, Sewankambo N. Can an educational podcast improve the ability of parents of primary school children to assess the reliability of claims made about the benefits and harms of treatments: study protocol for a randomised controlled trial. Trials 2017;18(1) View
  5. Islam M, Hasan M, Wang X, Germack H, Noor-E-Alam M. A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. Healthcare 2018;6(2):54 View
  6. Desai A, Seshasayee S, Majumder M, Lassmann B, Madoff L, Cohn E, Brownstein J, Amo-Adjei J. Tuberculosis and foreign-born populations in the United States: A mixed methods pilot study of media reporting and political identification. PLOS ONE 2020;15(4):e0230967 View
  7. Tambo E, Madjou G, Khayeka-Wandabwa C, Tekwu E, Olalubi O, Midzi N, Bengyella L, Adedeji A, Ngogang J. Can free open access resources strengthen knowledge-based emerging public health priorities, policies and programs in Africa?. F1000Research 2016;5:853 View
  8. Kostkova P, Szomszor M, St. Louis C. #swineflu. ACM Transactions on Management Information Systems 2014;5(2):1 View
  9. Jackson J. Capsule Commentary on Ganguli et al., Ebola Risk and Preparedness: A National Survey of Internists. Journal of General Internal Medicine 2016;31(3):321 View
  10. Meyers D, Ozonoff A, Baruwal A, Pande S, Harsha A, Sharma R, Schwarz D, Schwarz R, Bista D, Halliday S, Maru D, Fernandez-Reyes D. Combining Healthcare-Based and Participatory Approaches to Surveillance: Trends in Diarrheal and Respiratory Conditions Collected by a Mobile Phone System by Community Health Workers in Rural Nepal. PLOS ONE 2016;11(4):e0152738 View
  11. Lama Y, Chen T, Dredze M, Jamison A, Quinn S, Broniatowski D. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244 View
  12. Mavragani A, Ochoa G, Tsagarakis K. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270 View
  13. Nuti S, Wayda B, Ranasinghe I, Wang S, Dreyer R, Chen S, Murugiah K, Voracek M. The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE 2014;9(10):e109583 View
  14. Coogan S, Sui Z, Raubenheimer D. Gluttony and guilt: monthly trends in internet search query data are comparable with national-level energy intake and dieting behavior. Palgrave Communications 2018;4(1) View
  15. Dillard J, Li R, Yang C. Fear of Zika: Information Seeking as Cause and Consequence. Health Communication 2021;36(13):1785 View
  16. Basch C, Wahrman M, MacLean S, Garcia P. Escherichia coli on the internet: The power of YouTube to educate and influence consumer behavior regarding pathogenic bacteria. Infection, Disease & Health 2019;24(2):107 View
  17. Sindato C, Mboera L, Beda E, Mwabukusi M, Karimuribo E. Community Health Workers and Disease Surveillance in Tanzania: Promoting the Use of Mobile Technologies in Detecting and Reporting Health Events. Health Security 2021;19(1):116 View
  18. Mangono T, Smittenaar P, Caplan Y, Huang V, Sutermaster S, Kemp H, Sgaier S. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data. Journal of Medical Internet Research 2021;23(5):e22933 View
  19. Kristensen K, Lorenz E, May J, Strauss R. Exploring the use of web searches for risk communication during COVID-19 in Germany. Scientific Reports 2021;11(1) View
  20. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews. Frontiers in Public Health 2021;9 View
  21. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View
  22. Subrahmanya S, Shetty D, Patil V, Hameed B, Paul R, Smriti K, Naik N, Somani B. The role of data science in healthcare advancements: applications, benefits, and future prospects. Irish Journal of Medical Science (1971 -) 2022;191(4):1473 View
  23. Faber B. A Tale of Three Technologies: A Survival Analysis of Municipal Adoption of Websites, Twitter, and YouTube. Digital Government: Research and Practice 2022;3(3):1 View
  24. Li L, Aldosery A, Vitiugin F, Nathan N, Novillo-Ortiz D, Castillo C, Kostkova P. The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter Discourse. Frontiers in Public Health 2021;9 View
  25. KAPOOR A, DEKA A, BHATTACHARYYA S. ROLE OF MEDIA COVERAGE IN MITIGATING AN EPIDEMIC OUTBREAK: AN OPTIMAL CONTROL MODEL. Journal of Biological Systems 2021;29(04):871 View
  26. Kakizawa H. The value of public service broadcasting in Japan during COVID-19 pandemic: An analysis of WTP by Blinder-Oaxaca decomposition. Telecommunications Policy 2023;47(3):102523 View
  27. Ahmad P, Shah A, Lee K. A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain. Healthcare 2023;11(9):1268 View
  28. Ondrikova N, Harris J, Douglas A, Hughes H, Iturriza-Gomara M, Vivancos R, Elliot A, Cunliffe N, Clough H. Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study. Journal of Medical Internet Research 2023;25:e37540 View
  29. Sarasmita M, Sudarma I, Susanty S. Leveraging Google Trends to identify Indonesian tuberculosis trends before and after the implementation of a national mandatory notification system. Indian Journal of Tuberculosis 2024;71(3):276 View
  30. Goyal P, Malviya R. Challenges and opportunities of big data analytics in healthcare. Health Care Science 2023;2(5):328 View
  31. Ondrikova N, Clough H, Douglas A, Vivancos R, Itturiza-Gomara M, Cunliffe N, Harris J. Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance. Scientific Reports 2023;13(1) View
  32. Guzman H, Zhao L, Swain M, Faust R, Xagoraraki I. Tracking Norovirus in Tri-County Detroit, MI, Using Wastewater Testing, Syndromic Data, and Online Publicly Available Sources. ACS ES&T Water 2024;4(11):4990 View

Books/Policy Documents

  1. Kostkova P. Why Engagement Matters. View
  2. Kostkova P. Twitter: A Digital Socioscope. View