Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24694, first published .
Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study

Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study

Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study

Authors of this article:

Dayle Burnett1 Author Orcid Image ;   Valsamma Eapen2, 3 Author Orcid Image ;   Ping-I Lin2, 3 Author Orcid Image

Journals

  1. Yung J, Li J, Kehm R, Cone J, Parton H, Huynh M, Farfel M. COVID-19-Specific Mortality among World Trade Center Health Registry Enrollees Who Resided in New York City. International Journal of Environmental Research and Public Health 2022;19(21):14348 View
  2. Wagner G, Almeida T, Araújo A, Munhoz D, Andrade P. Time series analysis of the suicide attempts assisted by firefighters from 2017 to 2021 in São Paulo, Brazil. Revista Brasileira de Epidemiologia 2022;25 View
  3. Taira K, Hosokawa R, Itatani T, Fujita S. Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model. JMIR Public Health and Surveillance 2021;7(12):e34016 View
  4. Park E, Kang J, Chae H, Lim Y, Kang S, Na K, Cho S, Cho S. Comparison of Suicide Attempt by Generation During the COVID-19 Pandemic: Focusing on the Younger Generation. Journal of Korean Neuropsychiatric Association 2022;61(4):291 View
  5. Chu M, Li H, Lin S, Cai X, Li X, Chen S, Zhang X, Man Q, Lee C, Chiang Y. Appropriate Strategies for Reducing the Negative Impact of Online Reports of Suicide and Public Opinion From Social Media in China. Frontiers in Public Health 2021;9 View
  6. de Almeida T, de Araújo A, Munhoz D, Andrade P, Wagner G. Suicide Attempts Assisted By Firefighters According to Traumatic Brain Injury. Journal of Prevention 2022;43(6):823 View
  7. Sycińska-Dziarnowska M, Szyszka-Sommerfeld L, Kłoda K, Simeone M, Woźniak K, Spagnuolo G. Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends. International Journal of Environmental Research and Public Health 2021;18(23):12369 View
  8. 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
  9. Park J, Ha J. Impact of emotional state and suicidal intentions on suicide attempts among Korean adolescents with household financial difficulties following the outbreak of COVID-19: A cross-sectional study. Medicine 2023;102(32):e34495 View
  10. Holden B, Dwyer J. Millennials, the Most Afflicted Generation. American Journal of Forensic Medicine & Pathology 2023;44(3):188 View
  11. Lo Moro G, Giacomo S, Francesco C, Carola L, Fabrizio B, Roberta S. Italian public interest in online and in‐person psychological support during the COVID‐19 pandemic: Insights from Google Trends. Counselling and Psychotherapy Research 2023 View