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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Surveillance Systems (462)

Published on in Vol 6, No 2 (2020): Apr-Jun

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study

Authors of this article:

Ashlynn R Daughton1 Author Orcid Image ;   Rumi Chunara2, 3 Author Orcid Image ;   Michael J Paul4 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Chunara R, Cook S. Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19. Frontiers in Public Health 2020;8 View
  2. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  3. Bility M, Agarwal Y, Ho S, Castronova I, Beatty C, Biradar S, Narala V, Periyapatna N, Chen Y, Nachega J. WITHDRAWN: Can Traditional Chinese Medicine provide insights into controlling the COVID-19 pandemic: Serpentinization-induced lithospheric long-wavelength magnetic anomalies in Proterozoic bedrocks in a weakened geomagnetic field mediate the aberrant transformation of biogenic molecules in COVID-19 via magnetic catalysis. Science of The Total Environment 2020:142830 View
  4. Daughton A, Shelley C, Barnard M, Gerts D, Watson Ross C, Crooker I, Nadiga G, Mukundan N, Vaquera Chavez N, Parikh N, Pitts T, Fairchild G. Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study. Journal of Medical Internet Research 2021;23(5):e27059 View
  5. Mhasawade V, Zhao Y, Chunara R. Machine learning and algorithmic fairness in public and population health. Nature Machine Intelligence 2021;3(8):659 View
  6. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View
  7. Borda A, Molnar A, Neesham C, Kostkova P. Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Applied Sciences 2022;12(8):3890 View
  8. Wei Y, Ou Y, Li J, Wu W. Forecasting the Potential Number of Influenza-like Illness Cases by Fusing Internet Public Opinion. Sustainability 2022;14(5):2803 View
  9. Lan R, Campana F, Tardivo D, Catherine J, Vergnes J, Hadj-Saïd M. Relationship between internet research data of oral neoplasms and public health programs in the European Union. BMC Oral Health 2021;21(1) View

Books/Policy Documents

  1. Wei Y, Ou Y, Li J, Wu W. Frontier Computing. View
  2. Yin Z, Ni C, Fabbri D, Rosenbloom S, Malin B. Personal Health Informatics. View
  3. Chowdhury A, Newaz M, Saha P, Pedersen S, Khan M, Chowdhury M. Surveillance, Prevention, and Control of Infectious Diseases. View