Podcast
Questions and Answers
What is the purpose of the big data analysis platform launched on February 8 in China?
What is the purpose of the big data analysis platform launched on February 8 in China?
- To evaluate the follow-up effects of city lockdowns and vehicle bans
- To help individuals find close contacts with confirmed or suspected cases (correct)
- To predict the future development of the epidemic
- To track the movement of people leaving Wuhan
True or false:Big data has not played a significant role in the prevention and control of the COVID-19 epidemic in China.
True or false:Big data has not played a significant role in the prevention and control of the COVID-19 epidemic in China.
False (A)
How has big data helped in the prevention and control of the COVID-19 epidemic in China?
How has big data helped in the prevention and control of the COVID-19 epidemic in China?
Big data has played a key role in the prevention and control of the COVID-19 epidemic in China by providing interactive maps and analysis platforms that allow the public to grasp the changing situation and authorities to make scientific decisions. It has also helped in predicting the future development of the epidemic and evaluating the follow-up effects of policies.
True or false:Big data analysis platforms have only been used by authorities and not made available to the public in the prevention and control of the COVID-19 epidemic in China.
True or false:Big data analysis platforms have only been used by authorities and not made available to the public in the prevention and control of the COVID-19 epidemic in China.
True or false: Big data analysis cannot predict the future development of the epidemic or evaluate the effects of policies such as city lockdowns and vehicle bans.
True or false: Big data analysis cannot predict the future development of the epidemic or evaluate the effects of policies such as city lockdowns and vehicle bans.
How are some internet and tech companies using big data analysis to prevent and control the epidemic?
How are some internet and tech companies using big data analysis to prevent and control the epidemic?
How have internet and tech companies contributed to preventing and controlling the COVID-19 epidemic in China?
How have internet and tech companies contributed to preventing and controlling the COVID-19 epidemic in China?
True or false: Big data analysis cannot predict the future development of the epidemic and evaluate the follow-up effects of policies such as city lockdowns and vehicle bans.
True or false: Big data analysis cannot predict the future development of the epidemic and evaluate the follow-up effects of policies such as city lockdowns and vehicle bans.
What information did Gaode maps provide about people leaving Wuhan?
What information did Gaode maps provide about people leaving Wuhan?
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Study Notes
- Big data has played a key role in the prevention and control of the COVID-19 epidemic in China.
- Interactive maps and big data analysis platforms have allowed the public to grasp the changing situation and authorities to make scientific decisions.
- A big data analysis platform has received over 150 million hits since its launch on February 8, helping individuals find close contacts with confirmed or suspected cases.
- Some internet and tech companies are using AI and big data analysis to extract valuable information to prevent and control the epidemic.
- Data from Gaode maps showed that the top destinations for people leaving Wuhan were all cities inside Hubei Province and the number of people leaving Wuhan peaked on January 23.
- Gaode maps can help individuals find the closest outpatient or hospital for treatment.
- China's three major telecom carriers have done a lot of data analysis to predict the flow of people and strengthen targeted prevention measures.
- Big data analysis can predict the future development of the epidemic and evaluate the follow-up effects of policies such as city lockdowns and vehicle bans.
- Big data has helped optimize the allocation of resources and prevent the spread of the epidemic in a more scientific, efficient way.
- Big data has shown to be a valuable tool in the prevention and control of epidemics.
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