SIGNATURE WORK
CONFERENCE & EXHIBITION 2023

The COVID-19 pandemic has caused widespread disruption and devastation globally since it first emerged in late 2019 in the city of Wuhan, China. The virus’s rapid spread across the country significantly impacted various aspects of life, including travel and the economy. As this virus continues to mutate and evolve, outbreaks are expected to occur in different regions and with varying characteristics, making it necessary to analyze and interpret the spread of the epidemic and relevant data.

One way to assess the recovery from the COVID-19 pandemic is to analyze the click amount of specific keywords that can represent the degree of recovery in Baidu Engine, a popular search engine in China. By selecting relevant data, it is possible to track changes in search patterns over time and gain insight into the progress of the recovery process.

To analyze the data, regression analysis can be employed to identify any correlations between the main keywords. This statistical method can help to uncover patterns and relationships in the data that might not be immediately apparent. By identifying these connections, it may be possible to predict future trends and outcomes related to the COVID-19 pandemic.

Nonetheless, it should be noted that the recovery from the COVID-19 pandemic is a complex and multifaceted process involving many factors beyond search engine data. While analyzing the click amount of certain keywords can provide valuable insights, it should be considered as just one part of a broader effort to assess the impact and recovery from the pandemic.