Published on 15.07.13 in Vol 15, No 7 (2013): July
Works citing "Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2146):
(note that this is only a small subset of citations)
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Harris JK, Choucair B, Maier RC, Jolani N, Bernhardt JM. Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership. Journal of Medical Internet Research 2014;16(2):e31
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Pesälä S, Virtanen MJ, 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
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Gesser-Edelsburg A, Stolero N, Mordini E, Billingsley M, James JJ, Green MS. 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
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Semakula D, Nsangi A, Oxman M, Austvoll-Dahlgren A, Rosenbaum S, Kaseje M, Nyirazinyoye L, Fretheim A, Chalmers I, Oxman AD, Sewankambo NK. 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)
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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
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Desai AN, Seshasayee SM, Majumder MS, Lassmann B, Madoff LC, Cohn EL, Brownstein JS, 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
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Tambo E, Madjou G, Khayeka-Wandabwa C, Tekwu EN, Olalubi OA, Midzi N, Bengyella L, Adedeji AA, Ngogang JY. Can free open access resources strengthen knowledge-based emerging public health priorities, policies and programs in Africa?. F1000Research 2016;5:853
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Kostkova P, Szomszor M, St. Louis C. #swineflu. ACM Transactions on Management Information Systems 2014;5(2):1
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. Capsule Commentary on Ganguli et al., Ebola Risk and Preparedness: A National Survey of Internists. Journal of General Internal Medicine 2016;31(3):321
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Meyers DJ, Ozonoff A, Baruwal A, Pande S, Harsha A, Sharma R, Schwarz D, Schwarz RK, Bista D, Halliday S, Maru DSR, 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
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Lama Y, Chen T, Dredze M, Jamison A, Quinn SC, Broniatowski DA. 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
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Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
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Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K, Voracek M. The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE 2014;9(10):e109583
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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)
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Dillard JP, Li R, Yang C. Fear of Zika: Information Seeking as Cause and Consequence. Health Communication 2021;36(13):1785
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Basch CH, Wahrman MZ, MacLean SA, 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
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Sindato C, Mboera LEG, Beda E, Mwabukusi M, Karimuribo ED. 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
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Mangono T, Smittenaar P, Caplan Y, Huang VS, Sutermaster S, Kemp H, Sgaier SK. 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
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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)
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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
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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
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Subrahmanya SVG, Shetty DK, Patil V, Hameed BMZ, Paul R, Smriti K, Naik N, Somani BK. The role of data science in healthcare advancements: applications, benefits, and future prospects. Irish Journal of Medical Science (1971 -) 2022;191(4):1473
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. 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
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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
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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
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. 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
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Ahmad PN, Shah AM, Lee K. A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain. Healthcare 2023;11(9):1268
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Ondrikova N, Harris JP, Douglas A, Hughes HE, Iturriza-Gomara M, Vivancos R, Elliot AJ, Cunliffe NA, Clough HE. Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study. Journal of Medical Internet Research 2023;25:e37540
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Sarasmita MA, Sudarma IW, 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 2023;
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Goyal P, Malviya R. Challenges and opportunities of big data analytics in healthcare. Health Care Science 2023;2(5):328
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Ondrikova N, Clough H, Douglas A, Vivancos R, Itturiza-Gomara M, Cunliffe N, Harris JP. 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)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2146):