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

JMIR Theme Issue: COVID-19 Special Issue (2510) New Methods (1054) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (155) Theme Issue: Apps for COVID-19 (#Apps4Covid) (139) Surveillance Systems (498)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41395, first published .
The Potential Role of an Adjunctive Real-Time Locating System in Preventing Secondary Transmission of SARS-CoV-2 in a Hospital Environment: Retrospective Case-Control Study

The Potential Role of an Adjunctive Real-Time Locating System in Preventing Secondary Transmission of SARS-CoV-2 in a Hospital Environment: Retrospective Case-Control Study

The Potential Role of an Adjunctive Real-Time Locating System in Preventing Secondary Transmission of SARS-CoV-2 in a Hospital Environment: Retrospective Case-Control Study

Authors of this article:

Min Hyung Kim1 Author Orcid Image ;   Un Hyoung Ryu2 Author Orcid Image ;   Seok-Jae Heo3 Author Orcid Image ;   Yong Chan Kim1 Author Orcid Image ;   Yoon Soo Park1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Lorenc A, Szarata J, Czuba M. Real-Time Location System (RTLS) Based on the Bluetooth Technology for Internal Logistics. Sustainability 2023;15(6):4976 View
  2. Aung A, Li A, Kyaw W, Khanna R, Lim W, Ang H, Chow A. Harnessing a real-time location system for contact tracing in a busy emergency department. Journal of Hospital Infection 2023;141:63 View
  3. Kim M, Park Y. Use of a Real-Time Locating System in Infection Control. Infection & Chemotherapy 2024;56(4):427 View
  4. Sumsuzzman D, Ye Y, Wang Z, Pandey A, Langley J, Galvani A, Moghadas S. Impact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis. BMC Infectious Diseases 2025;25(1) View
  5. Kim D, Seo J, Kwon S, Park C, Han C, Kim Y, Kim J, Kim C, Park S, Yoon D, Kim K. Predicting In‐Hospital Fall Risk Using Machine Learning With Real‐Time Location System and Electronic Medical Records. Journal of Cachexia, Sarcopenia and Muscle 2025;16(1) View