Published on in Vol 11, No 1 (2009): Jan-Mar

Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet

Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet

Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet

Authors of this article:

Gunther Eysenbach 1, 2

Journals

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  633. Ma M, Yin S, Zhu M, Fan Y, Wen X, Lin T, Song T. Evaluation of Medical Information on Male Sexual Dysfunction on Baidu Encyclopedia and Wikipedia: Comparative Study. Journal of Medical Internet Research 2022;24(8):e37339 View
  634. Lee S, Sun J, Jang S, Connelly S. Misinformation of COVID-19 vaccines and vaccine hesitancy. Scientific Reports 2022;12(1) View
  635. Berning P, Huang L, Razavi A, Boakye E, Osuji N, Stokes A, Martin S, Ayers J, Blaha M, Dzaye O. Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021. Frontiers in Immunology 2022;13 View
  636. Liu M, Zhu Y, Gao H, Li J. Examining Chinese Users’ Feedback Comments on HIV Self-testing Kits From e-Commerce Platforms: Thematic and Content Analysis. Journal of Medical Internet Research 2022;24(11):e38398 View
  637. McKool M, Han S, Sandhu J, Marshall C, Guendelman S, Harley K. Emerging Technology: Preparing Tomorrow's MCH Workforce to Innovate for Equity. Maternal and Child Health Journal 2022;26(S1):210 View
  638. Aattouchi I, Elmendili S, Elmendili F, Bourekkadi S, Hami H, Mokhtari A, Slimani K, Soulaymani A. Sentiment Analysis of Health Care: Review. E3S Web of Conferences 2021;319:01064 View
  639. Manchaiah V, Swanepoel D, Bailey A, Pennebaker J, Bennett R. Hearing Aid Consumer Reviews: A Linguistic Analysis in Relation to Benefit and Satisfaction Ratings. American Journal of Audiology 2021;30(3):761 View
  640. Wu J, Tizek L, Rueth M, Wecker H, Kain A, Biedermann T, Zink A. The national burden of scabies in Germany: a population-based approach using Internet search engine data. Infection 2022;50(4):915 View
  641. HAYRAN O. İNFODEMİYOLOJİ, DİJİTAL EPİDEMİYOLOJİ VE METABİLİM: İNSANIN İNSANI, BİLİMİN İNSANI ALDATMASI NASIL ÖNLENİR?. ESTÜDAM Halk Sağlığı Dergisi 2021;6(3):322 View
  642. Kaatz M, Springer S, Schubert R, Zieger M. Representation of long COVID syndrome in the awareness of the population is revealed by Google Trends analysis. Brain, Behavior, & Immunity - Health 2022;22:100455 View
  643. Lotto M, Sá Menezes T, Zakir Hussain I, Tsao S, Ahmad Butt Z, P Morita P, Cruvinel T. Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study. Journal of Medical Internet Research 2022;24(5):e37519 View
  644. Park S, Wang R. Assessing the Capability of Government Information Intervention and Socioeconomic Factors of Information Sharing during the COVID-19 Pandemic: A Cross-Country Study Using Big Data Analytics. Behavioral Sciences 2022;12(6):190 View
  645. Amusa L, Twinomurinzi H, Phalane E, Phaswana-Mafuya R. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292 View
  646. Xie Y, Zhou W, Zhu J, Ruan Y, Wang X, Huang T. Early Warning and Monitoring of Coronavirus Disease 2019 Using Baidu Search Index and Baidu Information Index in Guangxi, China. Infectious Microbes and Diseases 2022;4(4):168 View
  647. Tselebis A, Zabuliene L, Milionis C, Ilias I. Pandemic and precocious puberty - a Google trends study. World Journal of Methodology 2023;13(1):1 View
  648. Mondia M, Espiritu A, Jamora R. Brain Tumor Infodemiology: Worldwide Online Health-Seeking Behavior Using Google Trends and Wikipedia Pageviews. Frontiers in Oncology 2022;12 View
  649. Van Diepen C, Rosales Valdes D. A content analysis on the perceptions of LGBTQ+ (centred) health care on Twitter. Health Expectations 2022;25(6):3238 View
  650. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  651. Corinti F, Pontillo D, Giansanti D. COVID-19 and the Infodemic: An Overview of the Role and Impact of Social Media, the Evolution of Medical Knowledge, and Emerging Problems. Healthcare 2022;10(4):732 View
  652. Alibudbud R. The Worldwide Utilization of Online Information about Dementia from 2004 to 2022: An Infodemiological Study of Google and Wikipedia. Issues in Mental Health Nursing 2023;44(3):209 View
  653. Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
  654. Rosato C, Moore R, Carter M, Heap J, Harris J, Storopoli J, Maskell S. Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information 2023;14(3):170 View
  655. Morita P, Zakir Hussain I, Kaur J, Lotto M, Butt Z. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356 View
  656. Amzat J, Kanmodi K, Egbedina E. Infoveillance and bibliometric analysis of COVID‐19 in Nigeria. Public Health Challenges 2023;2(1) View
  657. Lotto M, Hanjahanja-Phiri T, Padalko H, Oetomo A, Butt Z, Boger J, Millar J, Cruvinel T, Morita P. Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media. Frontiers in Public Health 2023;11 View
  658. Alibudbud R. Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology. Frontiers in Big Data 2023;6 View
  659. Pajo A, Jamora R, Espiritu A. Online Health Information-Seeking Behavior for Movement Disorders: An Infodemiologic Study. SSRN Electronic Journal 2022 View
  660. Li J, He Z, Zhang M, Ma W, Jin Y, Zhang L, Zhang S, Liu Y, Ma S. Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method. JMIR Infodemiology 2023;3:e42721 View
  661. Kim S, Warren E, Jahangir T, Al-Garadi M, Guo Y, Yang Y, Lakamana S, Sarker A. Characteristics of Intimate Partner Violence and Survivor’s Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence. Journal of Interpersonal Violence 2023;38(17-18):9693 View
  662. Cruz-Vázquez A, Ramos-Rojas D. Información, comunicación y COVID-19: una exploración de la literatura desde los modelos de búsqueda de las bibliotecas académicas. Universitas 2023;(38):169 View
  663. Boender T, Schneider P, Houareau C, Wehrli S, Purnat T, Ishizumi A, Wilhelm E, Voegeli C, Wieler L, Leuker C. Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute. JMIR Infodemiology 2023;3:e43646 View
  664. Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
  665. Malhotra K, Dagli M, Santangelo G, Wathen C, Ghenbot Y, Goyal K, Bawa A, Ozturk A, Welch W. The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study. JMIR Formative Research 2023;7:e44754 View
  666. ÖZDEMİR S. Yeni Bir Veri Analiz Alanı: İnfodepidemiyoloji. Sağlık Bilimlerinde Değer 2023;13(2):291 View
  667. Porcu G, Chen Y, Bonaugurio A, Villa S, Riva L, Messina V, Bagarella G, Maistrello M, Leoni O, Cereda D, Matone F, Gori A, Corrao G. Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends. Frontiers in Public Health 2023;11 View
  668. Xue J, Zhang B, Zhang Q, Hu R, Jiang J, Liu N, Peng Y, Li Z, Logan J. Using Twitter-Based Data for Sexual Violence Research: Scoping Review. Journal of Medical Internet Research 2023;25:e46084 View
  669. Yim D, Khuntia J, King E, Treskon M, Galiatsatos P. Expert Credibility and Sentiment in Infodemiology of Hydroxychloroquine’s Efficacy on Cable News Programs: Empirical Analysis. JMIR Infodemiology 2023;3:e45392 View
  670. Morokhovets H, Kaidashev I. A MATHEMATICAL MODEL FOR PROGNOSIS OF THE COVID-19 INCIDENCE IN UKRAINE USING GOOGLE TRENDS RESOURCES IN REAL-TIME AND FOR THE FUTURE PERIOD. The Medical and Ecological Problems 2022;26(3-4):3 View
  671. Smith S, Carbone E, Logan R. Health literacy and empowerment in the COVID-19 era. Information Services & Use 2023;43(2):89 View
  672. Santangelo O, Gianfredi V, Provenzano S. Impact on online research on celebrities’ uncommon diseases: the curious case of Justin Bieber and Ramsay Hunt syndrome. Journal of Public Health 2023 View
  673. Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis. Nutrients 2023;15(16):3575 View
  674. Zhang L, Harris Ao S, Francis Ye J, Zhao X. How does health communication on social media influence e-cigarette perception and use? A trend analysis from 2017 to 2020. Addictive Behaviors 2024;149:107875 View
  675. Young L, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470 View
  676. Boakye E, Erhabor J, Obisesan O, Tasdighi E, Mirbolouk M, Osuji N, Osei A, Lee J, DeFilippis A, Stokes A, Hirsch G, Benjamin E, Robertson R, Bhatnagar A, El Shahawy O, Blaha M. Comprehensive review of the national surveys that assess E-cigarette use domains among youth and adults in the United States. The Lancet Regional Health - Americas 2023;23:100528 View
  677. ÖZEN N, TOPBAŞ M. İnternet Ortamında ve Sosyal Medyada Doğru ve Güvenilir Sağlık Bilgisi Edinebilme. Farabi Tıp Dergisi 2023;2(2):27 View
  678. Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein M, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461 View
  679. Chu A, Chong A, Lai N, Tiwari A, So M. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19. JMIR Public Health and Surveillance 2023;9:e42446 View
  680. Li Z, Fan Y, Su H, Xu Z, Ho H, Zheng H, Tao J, Zhang Y, Hu K, Hossain M, Zhao Q, Huang C, Cheng J. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China. BMJ Global Health 2023;8(9):e013231 View
  681. Jamora R, Lim M, Espiritu A. Philippine immunization coverage and dengvaxia: An infodemiological study. Pediatrics International 2023;65(1) View
  682. Holtorf A, Danyliv A, Huang L, Venable Y, Hanna A, Krause A, Pierre M, Walsh D, Silveira Silva A, Lee S, Mattingly T. Using social media research in health technology assessment: stakeholder perspectives and scoping review. International Journal of Technology Assessment in Health Care 2023;39(1) View
  683. Alibudbud R. Wikipedia page views for health research: a review. Frontiers in Big Data 2023;6 View
  684. Morokhovets H, Lysanets Y, Kaidashev I. INFODEMIOLOGY: USING GOOGLE TRENDS AS A RESEARCH TOOL DURING THE COVID-19 PANDEMIC. The Medical and Ecological Problems 2023;27(3-4):3 View
  685. Ciechanowski K, Jemielniak D, Silczuk A. Public interests in mental health topics in COVID-19: evidence from Wikipedia searches. Advances in Mental Health 2023:1 View
  686. Olawade D, Wada O, David-Olawade A, Kunonga E, Abaire O, Ling J. Using artificial intelligence to improve public health: a narrative review. Frontiers in Public Health 2023;11 View
  687. Melián-Fleitas L, Franco-Pérez Á, Sanz-Valero J, Wanden-Berghe C. Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study. Nutrients 2023;15(17):3773 View
  688. Alghamdi A, Pileggi S, Sohaib O. Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review. Sustainability 2023;15(13):9957 View
  689. Zaldarriaga J, Aw A, Cuyegkeng-Go V, Manalo J, Magsanoc J, Peña-Camacho A, Gaerlan-Tagle A, Mendoza M. "Cancer-Related Search Queries in the Philippines: A Trend Analysis Across a Fifteen-Year Period ". Journal of Medical and Radiation Oncology 2023;3(1):25 View
  690. Boligarla S, Laison E, Li J, Mahadevan R, Ng A, Lin Y, Thioub M, Huang B, Ibrahim M, Nasri B. Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. BMC Medical Informatics and Decision Making 2023;23(1) View
  691. Dolatabadi E, Moyano D, Bales M, Spasojevic S, Bhambhoria R, Bhatti J, Debnath S, Hoell N, Li X, Leng C, Nanda S, Saab J, Sahak E, Sie F, Uppal S, Vadlamudi N, Vladimirova A, Yakimovich A, Yang X, Kocak S, Cheung A. Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e45767 View
  692. Jenkins E, Lukose D, Brennan L, Molenaar A, McCaffrey T. Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data. Sustainability 2023;15(18):13788 View
  693. Kaatz M, Kaatz M, Meinzenbach A, Springer S, Zieger M. From “arrow storks” to search engine data: Google Trends reveals seasonality in search interest for migratory white storks (Ciconia ciconia) in Germany. Zoologischer Anzeiger 2023;307:83 View
  694. Grandieri A, Trevisan C, Gentili S, Vetrano D, Liotta G, Volpato S. Relationship between People’s Interest in Medication Adherence, Health Literacy, and Self-Care: An Infodemiological Analysis in the Pre- and Post-COVID-19 Era. Journal of Personalized Medicine 2023;13(7):1090 View
  695. Gao J, Gallegos G, West J. Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S. International Journal of Environmental Research and Public Health 2023;20(21):6993 View
  696. Gorman D. COVID-19 publications in top-ranked public health journals during the first phase of the pandemic. Quantitative Science Studies 2023;4(2):535 View
  697. El Mikati I, Hoteit R, Harb T, El Zein O, Piggott T, Melki J, Mustafa R, Akl E. Defining Misinformation and Related Terms in Health-Related Literature: Scoping Review. Journal of Medical Internet Research 2023;25:e45731 View
  698. Parker M, Valdez D, Rao V, Eddens K, Agley J. Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses. Journal of Medical Internet Research 2023;25:e48405 View
  699. Costa I, Nisa M, Ferreira L. Online Search Patterns about Vaccination: A National Study. Portuguese Journal of Public Health 2022;40(3):134 View
  700. Bello H, Palomar-Ciria N, Lozano C, Gutiérrez-Alonso C, Baca-García E. Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis. The European Journal of Psychiatry 2024;38(1):100227 View
  701. Kamiński M, Czarny J, Skrzypczak P, Sienicki K, Roszak M. The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review. Journal of Medical Internet Research 2023;25:e47582 View
  702. Di Profio B, Lotto M, Ayala Aguirre P, Villar C, Romito G, Cruvinel T, Pannuti C. Digital surveillance: The interest in mouthwash‐related information. International Journal of Dental Hygiene 2023 View
  703. Ziakas P, Mylonakis E, Lai Y. Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLOS Digital Health 2023;2(6):e0000271 View
  704. Hove C, Cilliers L. A structured literature review of the health infodemic on social media in Africa. Jàmbá Journal of Disaster Risk Studies 2023;15(1) View
  705. Malhotra K, Kempegowda P. Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study. Journal of Medical Internet Research 2023;25:e49220 View
  706. Brigo F, Otte W, Igwe S, Ausserer H, Nardone R, Tezzon F, Trinka E. Information‐seeking behaviour for epilepsy: an infodemiological study of searches for Wikipedia articles. Epileptic Disorders 2015;17(4):460 View
  707. Ishizuka K, Miyagami T, Tsuchida T, Saita M, Ohira Y, Naito T, Santangelo O. Online search interest in long-term symptoms of coronavirus disease 2019 during the COVID-19 pandemic in Japan: Infodemiology study using the most visited search engine in Japan. PLOS ONE 2023;18(11):e0294261 View
  708. Rhee J, Huang Y, Soroosh A, Alsudais S, Ni S, Kumar A, Paredes J, Li C, Timberlake D. The Marketing and Perceptions of Non-Tobacco Blunt Wraps on Twitter. Substance Use & Misuse 2024;59(4):469 View
  709. Hinshaw D. Seeing together: Lessons from the COVID-19 pandemic on understanding evidence. Healthcare Management Forum 2023 View
  710. Yang X, Huang K, Yang D, Zhao W, Zhou X. Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review. Global Challenges 2024;8(1) View
  711. Galvez-Hernandez P, Gonzalez-Viana A, Gonzalez-de Paz L, Shankardass K, Muntaner C. Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis. JMIR Public Health and Surveillance 2024;10:e50379 View
  712. Xu Q, McMann T, Li J, Wenzel C, Mackey T. Characterization of COVID-19 vaccine clinical trial discussions on the social question-and-answer site Quora. Trials 2023;24(1) View
  713. Lopes A, Brotas A, Massarani L. A conversação pública acerca da vacina e da vacinação contra covid-19 no Twitter: um estudo infodemiológico. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  714. Hoffmann L, Bressem K, Cittadino J, Rueger C, Suwalski P, Meinel J, Funken S, Busch F. From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States. Environments 2023;10(12):221 View
  715. Lopes A, Brotas A, Massarani L. The public conversation about vaccines and vaccination against covid-19 on Twitter: an infodemiological study. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  716. Javadi V, Kamfar S, Zeinali V, Rahmani K, Moghaddamemami F. Online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP): an infodemiology study. BMC Health Services Research 2023;23(1) View
  717. Ikejiri T, Hakariya H, Kai H, Yokoyama N, Hakariya A. The “Okusuri Charm” movement in Japan: Prescription drug accessories emerging on X (Twitter). Journal of General and Family Medicine 2024;25(1):77 View
  718. Lima F, Martins L, Szklo A. What does Google Trends reveal about the proportion of waterpipe users in the Brazilian population?. Epidemiologia e Serviços de Saúde 2023;32(4) View
  719. DI PROFIO B, LOTTO M, AGUIRRE P, VILLAR C, ROMITO G, BRAGA M, CRUVINEL T, PANNUTI C. Toothpaste-related interests of Google users from different countries. Brazilian Oral Research 2023;37 View
  720. Lima F, Martins L, Szklo A. O que o Google Trends tem a dizer sobre a proporção de usuários de narguilé na população brasileira?. Epidemiologia e Serviços de Saúde 2023;32(4) View
  721. Haupt M, Chiu M, Chang J, Li Z, Cuomo R, Mackey T, Cresci S. Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. PLOS ONE 2023;18(12):e0295414 View
  722. Shah H, Househ M. Concepts, objectives and analysis of public health surveillance systems. Computer Methods and Programs in Biomedicine Update 2024;5:100136 View
  723. Pezzino S, Sofia M, Mazzone C, Litrico G, Agosta M, La Greca G, Latteri S. Exploring public interest in gut microbiome dysbiosis, NAFLD, and probiotics using Google Trends. Scientific Reports 2024;14(1) View
  724. Tan J, Simpao A, Gálvez Delgado J. The Future of Social Media, Anesthesiology, and the Perioperative Physician. Anesthesia & Analgesia 2024;138(2):358 View
  725. Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756 View
  726. Deiner M, Deiner N, Hristidis V, McLeod S, Doan T, Lietman T, Porco T. of large language models to assess likelihood of epidemics from content of Tweets: Infodemiology Study (Preprint). Journal of Medical Internet Research 2023 View
  727. Lobato A. Getting ready for the next inforuses. hLife 2024 View
  728. Yu Y, Zhang Q, Yao X, Wu J, He J, He Y, Jiang H, Lu D, Ye C. Online public concern about allergic rhinitis and its association with COVID-19 and air quality in China: an informative epidemiological study using Baidu index. BMC Public Health 2024;24(1) View
  729. Early J, Robillard A, Rooks R, Smith Romocki L. Pedagogy and Propaganda in the Post-Truth Era: Examining Effective Approaches to Teaching About Mis/DisInformation. Pedagogy in Health Promotion 2024 View
  730. Bachl M, Link E, Mangold F, Stier S. Search Engine Use for Health-Related Purposes: Behavioral Data on Online Health Information-Seeking in Germany. Health Communication 2024:1 View
  731. Francalancia S, Mehta K, Shrestha R, Phuyal D, Bikash D, Yadav M, Nakarmi K, Rai S, Sharar S, Stewart B, Fudem G. Consumer focus group testing with stakeholders to generate an enteral resuscitation training flipbook for primary health center and first-level hospital providers in Nepal. Burns 2024 View
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Books/Policy Documents

  1. Wamba S, Akter S, Kang H, Bhattacharya M, Upal M. Social Media Marketing. View
  2. Kwanya T, Stilwell C, Underwood P. Library 3.0. View
  3. Herttua T, Jakob E, Nave S, Gupta R, Zylka M. Designing Networks for Innovation and Improvisation. View
  4. Evans J, Bhatt S, Sharma R. mHealth Innovation in Asia. View
  5. Greaves F, Rozenblum R. Key Advances in Clinical Informatics. View
  6. Chapman L, Tyson J. Concepts and Methods in Infectious Disease Surveillance. View
  7. García-Díaz J, Apolinario-Arzube O, Medina-Moreira J, Salavarria-Melo J, Lagos-Ortiz K, Luna-Aveiga H, Valencia-García R. Technologies and Innovation. View
  8. Optican A, Cavazos-Rehg P. Child and Adolescent Psychiatry and the Media. View
  9. Kim A, Murphy J, Richards A, Hansen H, Powell R, Haney C. Social Media, Sociality, and Survey Research. View
  10. Horvitz E, Mulligan D. Next-Generation Ethics. View
  11. Apolinario-Arzube Ó, Garcí­a-Dí­az J, Pinto S, Luna-Aveiga H, Medina-Moreira J, Gómez-Berbis J, Valencia-Garcia R, Estrade-Cabrera J. Applied Informatics and Cybernetics in Intelligent Systems. View
  12. French M, Mykhalovskiy E. Pandemics and Emerging Infectious Diseases. View
  13. Bere W, Camara G, Malo S, Despres S, Lo M, Ouaro S. Innovations and Interdisciplinary Solutions for Underserved Areas. View
  14. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
  15. Gao R, Hao B, Li H, Gao Y, Zhu T. Brain and Health Informatics. View
  16. Grimm M, Lampert C, Wolf S. Handbuch der Gesundheitskommunikation. View
  17. Giabbanelli P, Adams J, Pillutla V. Social Computing and Social Media. View
  18. Pavlin J. Infectious Disease Surveillance. View
  19. Richiardi L, Pizzi C, Paolotti D. Handbook of Epidemiology. View
  20. Naaz S, Siddiqui F. Intelligent Systems for Healthcare Management and Delivery. View
  21. Ganasegeran K, Abdulrahman S. Human Behaviour Analysis Using Intelligent Systems. View
  22. . Veterinary Epidemiology. View
  23. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. View
  24. Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. View
  25. Kwanya T, Stilwell C, Underwood P. Library 3.0. View
  26. Grimm M, Lampert C, Wolf S. Handbuch Gesundheitskommunikation. View
  27. Gould A. Statistical Methods for Evaluating Safety in Medical Product Development. View
  28. Strecher V. Handbook of Behavioral Medicine. View
  29. Ning X. Theory and Practice of Business Intelligence in Healthcare. View
  30. Sevigny E, Fuleihan B. The Handbook of Drugs and Society. View
  31. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. View
  32. Comstock R. Injury Research. View
  33. Sugiura L. Respectable Deviance and Purchasing Medicine Online. View
  34. Cartwright L. The International Encyclopedia of Media Studies. View
  35. Murphy J, Dean E, Hill C, Richards A. Health Survey Methods. View
  36. Buller D, Walkosz B, Gill Woodall W. Prevention of Substance Use. View
  37. Laranjo L. Participatory Health Through Social Media. View
  38. Nemutanzhela P, Iyamu T. Maximizing Healthcare Delivery and Management through Technology Integration. View
  39. Chang A. Disinformation in Open Online Media. View
  40. Apolinario-Arzube Ó, García-Díaz J, Luna-Aveiga H, Medina-Moreira J, Valencia-García R. Technologies and Innovation. View
  41. Soussan T, Trovati M. Data Science Advancements in Pandemic and Outbreak Management. View
  42. Clarke A, Jeske M, Mamo L, Shim J. The Wiley Blackwell Companion to Medical Sociology. View
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