Transmission on empirical dynamic contact networks is influenced by data processing decisions.

ABSTRACT: Dynamic contact data can be used to inform disease transmission models, providing insight into the dynamics of infectious diseases. Such data often requires extensive processing for use in models or analysis. Therefore, processing decisions can potentially influence the topology of the contact network and the simulated disease transmission dynamics on the network. In this study, we examine how four processing decisions, including temporal sampling window (TSW), spatial threshold of contact (SpTh), minimum contact duration (MCD), and temporal aggregation (daily or hourly) influence the information content of contact data (indicated by changes in entropy) as well as disease transmission model dynamics. We found that changes made to information content by processing decisions translated to si

SUBMITTER: Dawson DE 

PROVIDER: S-EPMC6613374 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature