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

Infodemiology and Infoveillance (1350) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Surveillance Systems (462) Innovative Methods in Public Health and Surveillance (332) Behavioural Surveillance for Public Health (229)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37540, first published .
Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Authors of this article:

Nikola Ondrikova1, 2, 3 Author Orcid Image ;   John P Harris4 Author Orcid Image ;   Amy Douglas5 Author Orcid Image ;   Helen E Hughes2, 6 Author Orcid Image ;   Miren Iturriza-Gomara7 Author Orcid Image ;   Roberto Vivancos2, 4, 8 Author Orcid Image ;   Alex J Elliot2, 6 Author Orcid Image ;   Nigel A Cunliffe1, 2 Author Orcid Image ;   Helen E Clough1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. Ondrikova N, Clough H, Douglas A, Vivancos R, Itturiza-Gomara M, Cunliffe N, Harris J. Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance. Scientific Reports 2023;13(1) View
  2. Adedire O, Love N, Hughes H, Buchan I, Vivancos R, Elliot A. Early Detection and Monitoring of Gastrointestinal Infections Using Syndromic Surveillance: A Systematic Review. International Journal of Environmental Research and Public Health 2024;21(4):489 View
  3. Shepherd T, Mallen C. Measles and Pertussis outbreaks in England and Wales: a time-series analysis. NIHR Open Research 2024;4:56 View
  4. Guzman H, Zhao L, Swain M, Faust R, Xagoraraki I. Tracking Norovirus in Tri-County Detroit, MI, Using Wastewater Testing, Syndromic Data, and Online Publicly Available Sources. ACS ES&T Water 2024;4(11):4990 View
  5. Holt N, Byrne M. The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease. Gastrointestinal Endoscopy Clinics of North America 2024 View