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

Infodemiology and Infoveillance (1349) Pulmonology, COPD (143) Information Seeking, Information Needs (465) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Chronic Conditions (270) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19307, first published .
Examining the Trends in Online Health Information–Seeking Behavior About Chronic Obstructive Pulmonary Disease in Singapore: Analysis of Data From Google Trends and the Global Burden of Disease Study

Examining the Trends in Online Health Information–Seeking Behavior About Chronic Obstructive Pulmonary Disease in Singapore: Analysis of Data From Google Trends and the Global Burden of Disease Study

Examining the Trends in Online Health Information–Seeking Behavior About Chronic Obstructive Pulmonary Disease in Singapore: Analysis of Data From Google Trends and the Global Burden of Disease Study

Authors of this article:

Yang Fang1 Author Orcid Image ;   Thomas A Shepherd2 Author Orcid Image ;   Helen E Smith1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Zhang Q, Yu Y, He J, Yao X, He Y, Wu J, Xu C, Ye C. Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study. Frontiers in Public Health 2023;11 View
  2. 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
  3. Holland M, Kahlor L. A Google Trends Analysis of Interest in Nonbinary Identities. Cyberpsychology, Behavior, and Social Networking 2023;26(6):401 View
  4. Thakur N, Cui S, Patel K, Azizi N, Knieling V, Han C, Poon A, Shah R. Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. Computation 2023;11(11):234 View
  5. Parry E, Ayinla-Jimoh I, Shepherd T. Impact of Sickle Cell Awareness Day on online health information seeking in Africa using Google Trends. Health Promotion International 2023;38(6) View
  6. 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
  7. Patel H, Shepherd T. Online health information–seeking behaviours for low back pain in the United Kingdom: analysis of data from Google trends and the Global Burden of Disease Study, 2004–2019. International Health 2024 View
  8. Huang L, Hu Y, Chen J. Effectiveness of an ERAS-based exercise-nutrition management model in enhancing postoperative recovery for thoracoscopic radical resection of lung cancer: A randomized controlled trial. Medicine 2024;103(15):e37667 View
  9. Imtiaz A, King J, Holmes S, Gupta A, Bafadhel M, Melcher M, Hurst J, Farewell D, Bolton C, Duckers J. ChatGPTversusBing: a clinician assessment of the accuracy of AI platforms when responding to COPD questions. European Respiratory Journal 2024;63(6):2400163 View
  10. Shepherd T, Mallen C. Measles and Pertussis outbreaks in England and Wales: a time-series analysis. NIHR Open Research 2024;4:56 View