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

Tools, Programs and Algorithms (427) Surveillance Systems (525) Secondary Use of Clinical Data for Research and Surveillance (504) Infectious Diseases (non-STD/STI) (1770) Nosocomial Infections (30)

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 .
Doctor in surgical mask and cap reviewing data on computer screen with warning siren.

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

Authors of this article:

Yunzhou Fan1 Author Orcid Image ;   Yanyan Wu1 Author Orcid Image ;   Xiongjing Cao1 Author Orcid Image ;   Junning Zou1 Author Orcid Image ;   Ming Zhu1 Author Orcid Image ;   Di Dai1 Author Orcid Image ;   Lin Lu1 Author Orcid Image ;   Xiaoxv Yin2 Author Orcid Image ;   Lijuan Xiong1 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Yunzhou Fan   1 * , PhD ;   Yanyan Wu   1 * , PhD ;   Xiongjing Cao   1 , MSc ;   Junning Zou   1 , BSc ;   Ming Zhu   1 , MSc ;   Di Dai   1 , BA ;   Lin Lu   1 , BA ;   Xiaoxv Yin   2 * , PhD ;   Lijuan Xiong   1 , PhD

1 Department of Nosocomial Infection Management, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

2 School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

*these authors contributed equally

Corresponding Author:

  • Lijuan Xiong, PhD
  • Department of Nosocomial Infection Management, Union Hospital
  • Tongji Medical College
  • Huazhong University of Science and Technology
  • 1277 JieFang Avenue
  • Wuhan 430022
  • China
  • Phone: 1 86 02785726293
  • Email: lijuanxiong2016@126.com