Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26523, first published .
Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study

Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study

Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study

Journals

  1. Näher A, Vorisek C, Klopfenstein S, Lehne M, Thun S, AlSalamah S, Pujari S, Heider D, Ahrens W, Pigeot I, Marckmann G, Jenny M, Renard B, von Kleist M, Wieler L, Grabenhenrich L. Secondary Data for Global Health Digitalization. SSRN Electronic Journal 2022 View
  2. Atkins N, Harikar M, Duggan K, Zawiejska A, Vardhan V, Vokey L, Dozier M, de los Godos E, Mcswiggan E, Mcquillan R, Theodoratou E, Shi T. What are the characteristics of participatory surveillance systems for influenza-like-illness?. Journal of Global Health 2023;13 View
  3. Wang P, Zhang W, Wang H, Shi C, Li Z, Wang D, Luo L, Du Z, Hao Y. Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model. BMC Infectious Diseases 2024;24(1) View