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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21340, first published .
Social Media as an Early Proxy for Social Distancing Indicated by the COVID-19 Reproduction Number: Observational Study

Social Media as an Early Proxy for Social Distancing Indicated by the COVID-19 Reproduction Number: Observational Study

Social Media as an Early Proxy for Social Distancing Indicated by the COVID-19 Reproduction Number: Observational Study

Authors of this article:

Joseph Younis1 Author Orcid Image ;   Harvy Freitag1 Author Orcid Image ;   Jeremy S Ruthberg1 Author Orcid Image ;   Jonathan P Romanes2 Author Orcid Image ;   Craig Nielsen3 Author Orcid Image ;   Neil Mehta3 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Chen N, Zhong Z, Pang J. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing 2021;5(1):5 View
  2. Su Y, Venkat A, Yadav Y, Puglisi L, Fodeh S. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. Computers in Biology and Medicine 2021;132:104336 View
  3. Strzelecki A. The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis. Healthcare 2022;10(12):2425 View
  4. Tsao S, MacLean A, Chen H, Li L, Yang Y, Butt Z. Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada. International Journal of Public Health 2022;67 View
  5. Mahdikhani M. Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic. International Journal of Information Management Data Insights 2022;2(1):100053 View
  6. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  7. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  8. Comer L, Donelle L, Hiebert B, Smith M, Kothari A, Stranges S, Gilliland J, Long J, Burkell J, Shelley J, Hall J, Shelley J, Cooke T, Ngole Dione M, Facca D. Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e47154 View
  9. Garcia Valencia O, Thongprayoon C, Jadlowiec C, Mao S, Leeaphorn N, Budhiraja P, Khoury N, Vaitla P, Suppadungsuk S, Cheungpasitporn W. Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement. Clinics and Practice 2024;14(2):590 View
  10. Oliveira L. Tracking the denial related to protective measures during the COVID-19 pandemic: the case of #AglomeraBrasil on Twitter (Preprint). JMIR Formative Research 2023 View

Books/Policy Documents

  1. Wijayati D, Nurmandi A, Muallidin I. HCI International 2022 Posters. View