EpiViewer: an epidemiological application for exploring time series data.

ABSTRACT:

Background

Visualization plays an important role in epidemic time series analysis and forecasting. Viewing time series data plotted on a graph can help researchers identify anomalies and unexpected trends that could be overlooked if the data were reviewed in tabular form; these details can influence a researcher's recommended course of action or choice of simulation models. However, there are challenges in reviewing data sets from multiple data sources - data can be aggregated in different ways (e.g., incidence vs. cumulative), measure different criteria (e.g., infection counts, hospitalizations, and deaths), or represent different geographical scales (e.g., nation, HHS Regions, or states), which can make a direct comparison between time series difficult. In the face of an emerging

SUBMITTER: Thorve S 

PROVIDER: S-EPMC6251172 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature