Simulated Study of SARS-CoV-2: Contact Tracing and Potential Transmission Networks

Abstract

During a disease outbreak, contact tracing and epidemiological analysis are of critical importance to analyze disease sources and transmission. To perform this epidemiological analysis, effective data visualization is necessary. In this study, the outbreak of COVID-19 was simulated within three metro Atlanta counties. Data was generated using contact tracing forms and used to create node and edge lists. Each node in the network contained a unique ID representing either a location or individual, as well as any contact tracing information related to each node. Data visualization was performed using MicrobeTrace, an online program developed by the CDC. Visualization of the contact tracing network enabled us to effectively analyze the transmission dynamics of SARS-CoV2. In the simulated network, a singular person node appeared to be linked to the most positive COVID-19 cases in the network. Similarly, a restaurant was identified as the place node with the greatest number of direct connections to positive persons, highlighting it as a potentially major source of exposure to SARS-CoV-2. This study illustrates the benefits of data visualization and demographic analysis using MicrobeTrace, which helps to target mitigation and prevention efforts, while also emphasizing the importance of contact tracing to reduce the transmission of disease.