Epidemiologists use individual‐based models to (a) simulate disease spread over dynamic
contact networks and (b) to investigate strategies to control the outbreak. These model …

A major challenge for departments of public health (DPHs) in dealing with the ongoing
COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV-2 infection …

In this paper, we introduce a general concept for the analysis of temporal and multivariate
data and the system LFPeers that applies this concept to temporal similarity search and …

We propose a user-centered visual explorer (UcVE) for progressive comparing multiple
visualization units in spatiotemporal space. We create unique unit visualization with the …

Throughout the COVID-19 pandemic, visualizations became commonplace in public
communications to help people make sense of the world and the reasons behind …

Technological advancements have led to easy and rapid generation and collection of huge
volumes of varieties of data from of wide ranges of rich data sources. These big data may be …

A major challenge for departments of public health (DPHs) in dealing with the ongoing
COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection …

The visual modeling method enables flexible interactions with rich graphical depictions of
data and supports the exploration of the complexities of epidemiological analysis. However …

Clinic testing plays a critical role in containing infectious diseases such as COVID-19.
However, one of the key research questions in fighting such pandemics is how to optimize …

We conduct a controlled crowd-sourced experiment of COVID-19 case data visualization to
study if and how different plotting methods, time windows, and the nature of the data …