Public Health Emergency Management and Multi-Source Data Technology in China |
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Authors: | Xinzhi Wang Yi Liu Hui Zhang Qiuju Ma Zhidong Cao |
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Affiliation: | a Department of Engineering Physics, Tsinghua University, Beijing, China;b Public Order School, People’s Public Security University, Beijing, China;c Institute of Automation, Chinese Academic of Sciences, Beijing, China |
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Abstract: | Public health emergency is governed by the physical rules, which are related to the propagation of
diseases in the physical space, and the social rules, which are related to government structures, social
behaviors, and social media in cyber space. Effective preparedness and response of public health
emergency is strongly related to interoperation, collaboration and cooperation among different levels
of government agencies and among different regions, as well as information flow and data mining
between agencies and general public. In this paper, we review the technologies using multi-source
data for public health emergency in China. At the micro-level, risk analysis and operation plans are
developed based on data analysis. At the macro-level, decision-making and strategical plans are
realized based on the scenario-response method. As the results, public health emergencies can
be detected and responded at the very early stage. As an example, Ebola monitoring and scenario
response in China are presented. |
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Keywords: | Public health emergency Big data Decision making |
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