Published on 30.06.03 in Vol 5, No 2 (2003)
Works citing "SARS and Population Health Technology"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5.2.e14):
(note that this is only a small subset of citations)
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Ishizaki T, Imanaka Y, Hirose M, Hayashida K, Kizu M, Inoue A, Sugie S. Estimation of the impact of providing outpatients with information about SARS infection control on their intention of outpatient visit. Health Policy 2004;69(3):293
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Higgins TS, Wu AW, Sharma D, Illing EA, Rubel K, Ting JY. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702
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Lee GOM, Warner M. The Consequences of the SARS Epidemic for China's Employment and Human Resources. The Journal of Comparative Asian Development 2005;4(1):9
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Ramaprasad A, Papagari SS. Ontological Design. SSRN Electronic Journal 2009;
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Freifeld CC, Mandl KD, Reis BY, Brownstein JS. HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports. Journal of the American Medical Informatics Association 2008;15(2):150
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Masum H, Ranck J, Singer PA. Five promising methods for health foresight. Foresight 2010;12(1):54
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Rovetta A, Bhagavathula AS. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study. JMIR Public Health and Surveillance 2020;6(2):e19374
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. Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness. Policy Studies Journal 2011;39(2):239
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Sousa-Pinto B, Anto A, Czarlewski W, Anto JM, Fonseca JA, Bousquet J. Assessment of the Impact of Media Coverage on COVID-19–Related Google Trends Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e19611
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Lee GOM, Warner M. Human Resources, Labour Markets and Unemployment: The Impact of the SARS Epidemic on the Service Sector in Singapore. Asia Pacific Business Review 2006;12(4):507
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Mohr O, Velasco E, Fell G, Burckhardt F, Poggensee G, Eckmanns T. Die telefonische infektionsepidemiologische Bund-Länder-Lagekonferenz in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2010;53(9):903
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. The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic. JMIR Medical Informatics 2020;8(7):e19866
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Mahbubul Islam Y, Doyle KO. Distance Education via SMS Technology in Rural Bangladesh. American Behavioral Scientist 2008;52(1):87
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Whitten P, Kreps GL, Eastin MS. Creating a Framework for Online Cancer Services Research to Facilitate Timely and Interdisciplinary Applications. Journal of Medical Internet Research 2005;7(3):e34
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. Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet. Journal of Medical Internet Research 2009;11(1):e11
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Bernard R, Bowsher G, Milner C, Boyle P, Patel P, Sullivan R. Intelligence and global health: assessing the role of open source and social media intelligence analysis in infectious disease outbreaks. Journal of Public Health 2018;26(5):509
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. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941
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Rizo CA, Lupea D, Baybourdy H, Anderson M, Closson T, Jadad AR. What Internet Services Would Patients Like From Hospitals During an Epidemic? Lessons From the SARS Outbreak in Toronto. Journal of Medical Internet Research 2005;7(4):e46
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Cooper CP, Mallon KP, Leadbetter S, Pollack LA, Peipins LA. Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003. Journal of Medical Internet Research 2005;7(3):e36
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. The Use of Digital Health in the Detection and Management of COVID-19. International Journal of Environmental Research and Public Health 2020;17(8):2906
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Caputi TL, Ayers JW, 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
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Leal Neto O, Dimech GS, Libel M, de Souza WV, 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
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Pesälä S, Virtanen MJ, 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
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Skinner HA, Maley O, Norman CD. Developing Internet-Based eHealth Promotion Programs: The Spiral Technology Action Research (STAR) Model. Health Promotion Practice 2006;7(4):406
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Yellowlees P, Mackenzie J. Telehealth responses to bio-terrorism and emerging infections. Journal of Telemedicine and Telecare 2003;9(2_suppl):80
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Momynaliev KT, Khoperskay LL, Pshenichnaya NY, Abuova GN, Akimkin VG. Infodemiological study of coronavirus epidemic using Google Trends in Central Asian Republics of Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan. Medical alphabet 2021;(34):47
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Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1)
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Salehinejad S, Niakan Kalhori SR, 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
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Perlman A, Vodonos Zilberg A, Bak P, Dreyfuss M, Leventer-Roberts M, Vurembrand Y, Jeffries HE, 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
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Wong MYZ, Gunasekeran DV, Nusinovici S, Sabanayagam C, Yeo KK, 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
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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
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Datta P, Nwankpa JK. Digital transformation and the COVID-19 crisis continuity planning. Journal of Information Technology Teaching Cases 2021;11(2):81
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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
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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
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Guo N, Zhao SZ, Weng X, Wu Y, Luk TT, Wong JYH, Lam TH, Wang MP. 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
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Gómez-Salgado J, Palomino-Baldeón JC, 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
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Bui LV, Ha ST, Nguyen HN, Nguyen TT, Nguyen TP, Tran K, Tran TV, Nguyen TH, Tran TH, Pham ND, Bui HM. The Contribution of Digital Health in the Response to Covid-19 in Vietnam. Frontiers in Public Health 2021;9
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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
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Mukka M, Pesälä S, Juutinen A, Virtanen MJ, 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
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Jiang LC, Chu TH, 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
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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
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Izhar TAT, Torabi T. Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia. International Journal of Information Technology 2022;14(2):675
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Poongodi M, Malviya M, Hamdi M, Rauf HT, Kadry S, Thinnukool O. The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic. IEEE Access 2021;9:97906
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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
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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
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Iyamu I, Gómez-Ramírez O, Xu AX, 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
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Mremi IR, George J, Rumisha SF, Sindato C, Kimera SI, Mboera LEG. 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)
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Porcu G, Chen YX, Bonaugurio AS, 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
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Saeidnia HR, Kozak M, Ausloos M, Lund BD, 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
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Aizaz M, Khan F, Ali B, Ahmad S, Naseem K, Mishra S, Abbas FA, 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
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Perez AJ, Zeadally S, Tan DK. Detecting Mobile Malware Associated With Global Pandemics. IEEE Pervasive Computing 2023;22(4):45
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5.2.e14):
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Pletneva N, Cruchet S, Simonet M, Kajiwara M, Boyer C. Systèmes d’information pour l’amélioration de la qualité en santé. 2011. Chapter 31:353
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Webster RG, Fedson DS. Severe Acute Respiratory Syndrome. 2005. :239
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Apolinario-Arzube , García-Díaz JA, Luna-Aveiga H, Medina-Moreira J, Valencia-García R. Technologies and Innovation. 2020. Chapter 4:43
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Betancourt-Cravioto M, Falcón-Lezama J, Rojas-Estrella F, Saucedo-Martínez R, Tapia-Conyer R. Current Perspectives on Viral Disease Outbreaks - Epidemiology, Detection and Control. 2022. Chapter 9
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Al-Emran M, Arpaci I. Emerging Technologies During the Era of COVID-19 Pandemic. 2021. Chapter 5:59
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. Proceedings of the 2022 International Conference on Business and Policy Studies. 2022. Chapter 92:932
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Cuyvers J, Passanante A, Pertwee E, Paterson P, Lin L, J. Larson H. Modernizing Global Health Security to Prevent, Detect, and Respond. 2024. :375
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