  As the recent COVID-19 outbreak rapidly expands all over the world, various
containment measures have been carried out to fight against the COVID-19
pandemic. In Mainland China, the containment measures consist of three types,
i.e., Wuhan travel ban, intra-city quarantine and isolation, and inter-city
travel restriction. In order to carry out the measures, local economy and
information acquisition play an important role. In this paper, we investigate
the correlation of local economy and the information acquisition on the
execution of containment measures to fight against the COVID-19 pandemic in
Mainland China. First, we use a parsimonious model, i.e., SIR-X model, to
estimate the parameters, which represent the execution of intra-city quarantine
and isolation in major cities of Mainland China. In order to understand the
execution of intra-city quarantine and isolation, we analyze the correlation
between the representative parameters including local economy, mobility, and
information acquisition. To this end, we collect the data of Gross Domestic
Product (GDP), the inflows from Wuhan and outflows, and the COVID-19 related
search frequency from a widely-used Web mapping service, i.e., Baidu Maps, and
Web search engine, i.e., Baidu Search Engine, in Mainland China. Based on the
analysis, we confirm the strong correlation between the local economy and the
execution of information acquisition in major cities of Mainland China. We
further evidence that, although the cities with high GDP per capita attracts
bigger inflows from Wuhan, people are more likely to conduct the quarantine
measure and to reduce going out to other cities. Finally, the correlation
analysis using search data shows that well-informed individuals are likely to
carry out containment measures.
