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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) JMIR Theme Issue: COVID-19 Special Issue (2388) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Outbreak and Pandemic Preparedness and Management (1673) Participatory Epidemiology and Surveillance (106) Surveillance Reports (122) Surveillance Systems (427) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) mHealth for Data Collection and Research (907)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.06.16.20126466v1, first published .
Syndromic Surveillance Insights from a Symptom Assessment App Before and During COVID-19 Measures in Germany and the United Kingdom: Results From Repeated Cross-Sectional Analyses

Syndromic Surveillance Insights from a Symptom Assessment App Before and During COVID-19 Measures in Germany and the United Kingdom: Results From Repeated Cross-Sectional Analyses

Syndromic Surveillance Insights from a Symptom Assessment App Before and During COVID-19 Measures in Germany and the United Kingdom: Results From Repeated Cross-Sectional Analyses

Authors of this article:

Alicia Mehl1 Author Orcid Image ;   Francois Bergey1 Author Orcid Image ;   Caoimhe Cawley1 Author Orcid Image ;   Andreas Gilsdorf1 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) Metrics

Journals

  1. Runkle J, Sugg M, Graham G, Hodge B, March T, Mullendore J, Tove F, Salyers M, Valeika S, Vaughan E. Participatory COVID-19 Surveillance Tool in Rural Appalachia. Public Health Reports 2021;136(3):327 View
  2. Dantas L, Peres I, Bastos L, Marchesi J, de Souza G, Gelli J, Baião F, Maçaira P, Hamacher S, Bozza F, Perra N. App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning. PLOS ONE 2021;16(3):e0248920 View
  3. Mansab F, Bhatti S, Goyal D. Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study. BMJ Health & Care Informatics 2021;28(1):e100187 View
  4. Zeeb H, Ahrens W, Haug U, Grabenhenrich L, Pigeot I. Epidemiologische Ansätze zur Klärung wichtiger Forschungsfragen zu COVID-19 – eine Übersicht. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(9):1076 View
  5. Mugenyi L, Nsubuga R, Wanyana I, Muttamba W, Tumwesigye N, Nsubuga S, Otwombe K. Feasibility of using a mobile App to monitor and report COVID-19 related symptoms and people’s movements in Uganda. PLOS ONE 2021;16(11):e0260269 View
  6. Amiri P, Karahanna E. Chatbot use cases in the Covid-19 public health response. Journal of the American Medical Informatics Association 2022;29(5):1000 View
  7. Schmieding M, Kopka M, Schmidt K, Schulz-Niethammer S, Balzer F, Feufel M. Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation. Journal of Medical Internet Research 2022;24(5):e31810 View
  8. Barone S, Chakhunashvili A. Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic. Quality & Quantity 2023;57(2):1701 View
  9. Cawley C, Bergey F, Mehl A, Finckh A, Gilsdorf A. Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study. JMIR Public Health and Surveillance 2021;7(11):e26523 View
  10. Greenleaf A, Mwima G, Lethoko M, Conkling M, Keefer G, Chang C, McLeod N, Maruyama H, Chen Q, Farley S, Low A. Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection. JMIR Research Protocols 2021;10(9):e31236 View
  11. Merlo I, Crea M, Berta P, Ieva F, Carle F, Rea F, Porcu G, Savaré L, De Maio R, Villa M, Cereda D, Leoni O, Bortolan F, Sechi G, Bella A, Pezzotti P, Brusaferro S, Blangiardo G, Fedeli M, Corrao G. Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project. Eurosurveillance 2023;28(1) View
  12. Faqar-Uz-Zaman S, Anantharajah L, Baumartz P, Sobotta P, Filmann N, Zmuc D, von Wagner M, Detemble C, Sliwinski S, Marschall U, Bechstein W, Schnitzbauer A. The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study. Annals of Surgery 2022;276(5):935 View
  13. Hogeveen S, Donaghy-Hughes M, Nova A, Saari M, Sinna C, Northwood M, Heckman G, Geffen L, Hirdes J. The interRAI COVID-19 Vulnerability Screener: Results of a Health Surveillance Initiative for Vulnerable Adults in the Community During the COVID-19 Pandemic. Archives of Gerontology and Geriatrics 2023:105056 View
  14. Deckert A, Anders S, Morales I, De Allegri M, Nguyen H, Souares A, McMahon S, Meurer M, Burk R, Lou D, Brugnara L, Sand M, Koeppel L, Maier-Hein L, Ross T, Adler T, Brenner S, Dyer C, Herbst K, Ovchinnikova S, Marx M, Schnitzler P, Knop M, Bärnighausen T, Denkinger C. Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial. JMIR Public Health and Surveillance 2023;9:e44204 View
  15. 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

Books/Policy Documents

  1. Moses J, Adibi S. The Science behind the COVID Pandemic and Healthcare Technology Solutions. View