Designing the Arriving Refugee Informatics Surveillance and Epidemiology (ARIVE) System: A Web-based Electronic Database for Epidemiological Surveillance

Objectives: This article discusses the design and implementation of the Arriving Refugee Informatics surVeillance and Epidemiology (ARIVE) system. The system seeks to improve the health of refugees undergoing resettlement and enhance existing health surveillance networks. Methods: Using the REDCapTM Electronic Data Capture (EDC) software as a basis we create a refugee health database incorporating data from the Centers for Disease Control and Prevention’s Electronic Disease Notification (EDN) system and domestic screening data from refugee health care providers. Results: Domestic screening and EDN refugee health data have been integrated for 16,739 refugees resettled from 35 different countries into the state of Kentucky from the years 2013-2016. Discussion: The ARIVE system is a flexible software system that implements the core of a health surveillance network in a way that is sustainable and cost-effective, and its data dictionary provides an easy way to share and improve the database structure of a health surveillance network. DOI: 10.18297/rgh/vol2/iss2/6 Submitted Date: November 9, 2018 Accepted Date: July 11, 2019 Website: https://ir.library.louisville.edu/rgh Affiliations: 1Department of Medicine, University of Louisville, Louisville, USA 2Kentucky Office of Refugees This original article is brought to you for free and open access by ThinkIR: The University of Louisville’s Institutional Repository. It has been accepted for inclusion in the Journal of Refugee & Global Health by an authorized editor of ThinkIR. For more information, please contact thinkir@louisville.edu. Recommended Citation: Mattingly, William A.; Carrico, Ruth M.; Wiemken, Timothy L.; Bosson, Rahel S.; Furmanek, Stephen P.; Kelley, Robert R.; Ford, Rebecca A.; Buckner, Kimberley; Ramirez, Julio A. (2019) “Designing the Arriving Refugee Informatics Surveillance and Epidemiology (ARIVE) System: A Web-based Electronic Database for Epidemiological Surveillance,” Journal of Refugee & Global Health: Vol. 2 : Iss. 2, Article 6.