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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1002) JMIR Theme Issue: COVID-19 Special Issue (2558) Infectious Diseases (non-STD/STI) (1732) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1543) Mobile Health (mhealth) (3513) mHealth for Data Collection and Research (1212) Big Data (312) Simulation (168) Public Health (252) Participatory Epidemiology and Surveillance (129) Statistical Methods for Surveillance and Population Health (190)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38170, first published .
Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach

Authors of this article:

Weicheng Qian1 Author Orcid Image ;   Aranock Cooke1 Author Orcid Image ;   Kevin Gordon Stanley1 Author Orcid Image ;   Nathaniel David Osgood1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Thi Phuong H, Suer J, Belik V, Hidalgo A, Jarynowski A, Pastor R, Schulz S, Thampi A, Xu C, Zambrano M, Mikolajczyk R, Karch A, Jaeger V. Social contact patterns derived from an epidemiological survey and GPS-based co-location data – a systematic comparison using parallel data collections during the COVID-19 pandemic in Germany. Epidemics 2026:100886 View

Conference Proceedings

  1. Al Qathrady M. 2024 10th International Conference on Smart Computing and Communication (ICSCC). Enhancing Indoor BLE Distance Estimation Through Machine and Deep Learning Utilizing Anchor Information View