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

Editorial (49)

Published on in Vol 5, No 2 (2003):

SARS and Population Health Technology

SARS and Population Health Technology

SARS and Population Health Technology

Authors of this article:

Gunther Eysenbach
Article Authors Cited by (60) Tweetations Metrics

Journals

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  21. Caputi T, Ayers J, Dredze M, Suplina N, Burd-Sharps S. Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19369 View
  22. Leal Neto O, Dimech G, Libel M, de Souza W, Cesse E, Smolinski M, Oliveira W, Albuquerque J. Saúde na Copa: The World’s First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, Brazil. JMIR Public Health and Surveillance 2017;3(2):e26 View
  23. Pesälä S, Virtanen M, Sane J, Mustonen P, Kaila M, Helve O. Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease. JMIR Public Health and Surveillance 2017;3(4):e86 View
  24. Skinner H, Maley O, Norman C. Developing Internet-Based eHealth Promotion Programs: The Spiral Technology Action Research (STAR) Model. Health Promotion Practice 2006;7(4):406 View
  25. Yellowlees P, Mackenzie J. Telehealth responses to bio-terrorism and emerging infections. Journal of Telemedicine and Telecare 2003;9(2_suppl):80 View
  26. Momynaliev K, Khoperskay L, Pshenichnaya N, Abuova G, Akimkin V. Infodemiological study of coronavirus epidemic using Google Trends in Central Asian Republics of Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan. Medical alphabet 2021;(34):47 View
  27. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  28. Salehinejad S, Niakan Kalhori S, Hajesmaeel Gohari S, Bahaadinbeigy K, Fatehi F. A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS). Informatics for Health and Social Care 2021;46(1):42 View
  29. Perlman A, Vodonos Zilberg A, Bak P, Dreyfuss M, Leventer-Roberts M, Vurembrand Y, Jeffries H, Fisher E, Steuerman Y, Namir Y, Goldschmidt Y, Souroujon D. Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study. Journal of Medical Internet Research 2020;22(10):e23197 View
  30. Wong M, Gunasekeran D, Nusinovici S, Sabanayagam C, Yeo K, Cheng C, Tham Y. Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation. JMIR Public Health and Surveillance 2021;7(2):e24445 View
  31. Alamoodi A, Zaidan B, Zaidan A, Albahri O, Mohammed K, Malik R, Almahdi E, Chyad M, Tareq Z, Albahri A, Hameed H, Alaa M. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems with Applications 2021;167:114155 View
  32. Datta P, Nwankpa J. Digital transformation and the COVID-19 crisis continuity planning. Journal of Information Technology Teaching Cases 2021;11(2):81 View
  33. Mills K, Peterson A, McNair M, Abe T, Igwe J, Sobukonla T, Surapaneni P, Ajose T, Yan F, Chang E, Volcy J. Virtually Serving the Underserved: Resident Perceptions of Telemedicine Use While Training During Coronavirus Disease 2019. Telemedicine and e-Health 2022;28(3):391 View
  34. Kishore K, Jaswal V, Verma M, Koushal V. Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis. JMIR Public Health and Surveillance 2021;7(8):e29957 View
  35. Guo N, Zhao S, Weng X, Wu Y, Luk T, Wong J, Lam T, Wang M. Associations of COVID-19 online information sources and information overload with psychological distress symptoms: a population-based study. Translational Behavioral Medicine 2021;11(7):1330 View
  36. Gómez-Salgado J, Palomino-Baldeón J, Ortega-Moreno M, Fagundo-Rivera J, Allande-Cussó R, Ruiz-Frutos C. COVID-19 information received by the Peruvian population, during the first phase of the pandemic, and its association with developing psychological distress. Medicine 2022;101(5):e28625 View
  37. Bui L, Ha S, Nguyen H, Nguyen T, Nguyen T, Tran K, Tran T, Nguyen T, Tran T, Pham N, Bui H. The Contribution of Digital Health in the Response to Covid-19 in Vietnam. Frontiers in Public Health 2021;9 View
  38. Bağcı N, Peker I. Interest in dentistry in early months of the COVID‐19 global pandemic: A Google Trends approach. Health Information & Libraries Journal 2022;39(3):284 View
  39. Mukka M, Pesälä S, Juutinen A, Virtanen M, Mustonen P, Kaila M, Helve O, Khanijahani A. Online searches of children’s oseltamivir in public primary and specialized care: Detecting influenza outbreaks in Finland using dedicated databases for health care professionals. PLOS ONE 2022;17(8):e0272040 View
  40. Jiang L, Chu T, Sun M. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis. JMIR Infodemiology 2021;1(1):e25636 View
  41. Momynaliev K, Khoroshun D, Akimkin V. Online queries as a criterion for evaluating epidemiological status and effectiveness of COVID-19 control measures in Russia: results from Yandex.Wordstat analysis. BMJ Open 2022;12(7):e056716 View
  42. Izhar T, Torabi T. Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia. International Journal of Information Technology 2022;14(2):675 View
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  44. Liu Z, Jiang Z, Kip G, Snigdha K, Xu J, Wu X, Khan N, Schultz T. An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data. Pattern Recognition Letters 2022;158:133 View
  45. Cai O, Sousa-Pinto B. United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study. JMIR Public Health and Surveillance 2022;8(3):e32364 View
  46. Iyamu I, Gómez-Ramírez O, Xu A, Chang H, Watt S, Mckee G, Gilbert M. Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review. DIGITAL HEALTH 2022;8:205520762211022 View
  47. Mremi I, George J, Rumisha S, Sindato C, Kimera S, Mboera L. Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics. One Health Outlook 2021;3(1) View
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  49. Saeidnia H, Kozak M, Ausloos M, Lund B, Ghorbi A, Mohammadzadeh Z. Evaluation of COVID-19 m-Health apps: An analysis of the methods of app usability testing during a global pandemic. Informatics in Medicine Unlocked 2023;41:101310 View
  50. Aizaz M, Khan F, Ali B, Ahmad S, Naseem K, Mishra S, Abbas F, Yang G. Significance of Digital Health Technologies (DHTs) to manage communicable and non-communicable diseases in Low and Middle-Income Countries (LMICs). Health and Technology 2023;13(6):883 View
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Books/Policy Documents

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