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

Coronary Heart Disease (81) Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452)

Published on in Vol 4, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20426, first published .
Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

Authors of this article:

Conor Senecal1 Author Orcid Image ;   Rajiv Gulati1 Author Orcid Image ;   Amir Lerman1 Author Orcid Image
Article Authors Cited by (15) Tweetations (10) Metrics

Journals

  1. Lu T, Reis B. Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries. npj Digital Medicine 2021;4(1) View
  2. Kardeş E, Kardeş S. Google searches for bruxism, teeth grinding, and teeth clenching during the COVID-19 pandemic. Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie 2022;83(6):1 View
  3. Lavie G, Battat E, Saliba W, Flugelman M. Change in Hospitalizations and 30-Day Mortality of Patients With Acute Myocardial Infarction During the First COVID-19 Lockdown – A Pure Social Isolation Effect?. Cardiovascular Revascularization Medicine 2022;38:38 View
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  5. Meirick T, Ferres J, Lee A. Association of Public Health Measures During the COVID-19 Pandemic With the Incidence of Infectious Conjunctivitis—Reply. JAMA Ophthalmology 2022;140(5):547 View
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  7. Ma M, Ye S. Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective. Social Psychological and Personality Science 2023;14(5):572 View
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  9. Dzaye O, Berning P, Razavi A, Adhikari R, Jha K, Nasir K, Ayers J, Mortensen M, Blaha M. Online searches for SGLT-2 inhibitors and GLP-1 receptor agonists correlate with prescription rates in the United States: An infodemiological study. Frontiers in Cardiovascular Medicine 2022;9 View
  10. Chejfec-Ciociano J, Martínez-Herrera J, Parra-Guerra A, Chejfec R, Barbosa-Camacho F, Ibarrola-Peña J, Cervantes-Guevara G, Cervantes-Cardona G, Fuentes-Orozco C, Cervantes-Pérez E, García-Reyna B, González-Ojeda A. Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology Study. JMIR Infodemiology 2022;2(1):e29894 View
  11. Ma M, Ye S. The COVID-19 pandemic and seeking information about condoms online: an infodemiology approach. Psychology & Health 2023;38(9):1128 View
  12. Malapela R, Thupayagale‐Tshweneagae G, Baratedi W. Use of home remedies for the treatment and prevention of coronavirus disease: An integrative review. Health Science Reports 2023;6(1) View
  13. Ma M. COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories. Computers in Human Behavior 2022;127:107059 View
  14. Zayed B, Talaia A, Gaaboobah M, Amer S, Mansour F. Google Trends as a predictive tool in the era of COVID-19: a scoping review. Postgraduate Medical Journal 2023;99(1175):962 View
  15. 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