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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16901, first published .
Automated Cluster Detection of Health Care–Associated Infection Based on the Multisource Surveillance of Process Data in the Area Network: Retrospective Study of Algorithm Development and Validation

Automated Cluster Detection of Health Care–Associated Infection Based on the Multisource Surveillance of Process Data in the Area Network: Retrospective Study of Algorithm Development and Validation

Automated Cluster Detection of Health Care–Associated Infection Based on the Multisource Surveillance of Process Data in the Area Network: Retrospective Study of Algorithm Development and Validation

Journals

  1. Lenglet A, Contigiani O, Ariti C, Evens E, Charles K, Casimir C, Senat Delva R, Badjo C, Roggeveen H, Pawulska B, Clezy K, McRae M, Wertheim H, Hopman J, Ballot D. Early warning for healthcare acquired infections in neonatal care units in a low-resource setting using routinely collected hospital data: The experience from Haiti, 2014–2018. PLOS ONE 2022;17(6):e0269385 View
  2. Mellinghoff S, Bruns C, Al-Monajjed R, Cornely F, Grosheva M, Hampl J, Jakob C, Koehler F, Lechmann M, Maged B, Otto-Lambertz C, Rongisch R, Rutz J, Salmanton-Garcia J, Schlachtenberger G, Stemler J, Vehreschild J, Wülfing S, Cornely O, Liss B. Harmonized procedure coding system for surgical procedures and analysis of surgical site infections (SSI) of five European countries. BMC Medical Research Methodology 2022;22(1) View
  3. Skagseth H, Danielsen A, Kacelnik O, Trondsen U, Berg T, Sorknes N, Eriksen-Volle H. Clusters of healthcare-associated SARS-CoV-2 infections in Norwegian hospitals detected by a fully automatic register-based surveillance system. Journal of Hospital Infection 2023;135:50 View