  The ongoing COVID-19 pandemic highlights the importance of dashboards for
providing critical real-time information. In order to enable people to obtain
information in time and to understand complex statistical data, many developers
have designed and implemented public-oriented COVID-19 "information dashboards"
during the pandemic. However, development often takes a long time and
developers are not clear about many people's information needs, resulting in
gaps between information needs and supplies. According to our empirical study
and observations with popular developed COVID-19 dashboards, this seriously
impedes information acquirement. Our study compares people's needs on Twitter
with existing information suppliers. We determine that despite the COVID-19
information that is currently on existing dashboards, people are also
interested in the relationship between COVID-19 and other viruses, the origin
of COVID-19, vaccine development, fake new about COVID-19, impact on women,
impact on school/university, and impact on business. Most of these have not yet
been well addressed. We also summarise the visualization and interaction
patterns commonly applied in dashboards, finding key patterns between data and
visualization as well as visualization and interaction. Our findings can help
developers to better optimize their dashboard to meet people's needs and make
improvements to future crisis management dashboard development.
