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Applied Economics Letters Volume 29, 2022 - Issue 17
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Research Article

The relationship between public attention and COVID-19: evidence from the big data analysis of Google trends

Kai Lisa LoSchool of Economics and Management, Shanghai Maritime University, Shanghai, ChinaORCID Iconhttps://orcid.org/0000-0001-5326-1691View further author information
ORCID Icon,
Huizhu LiuSchool of Economics and Management, Shanghai Maritime University, Shanghai, ChinaView further author information
,
Minhua YangSchool of Economics and Management, Shanghai Maritime University, Shanghai, ChinaCorrespondence[email protected]
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Jackson Jinhong MiSchool of Economics and Management, Shanghai Maritime University, Shanghai, ChinaORCID Iconhttps://orcid.org/0000-0002-0818-3652View further author information
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Pages 1586-1593 | Published online: 30 Jun 2021

References

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  • Järv, O., A. Tominga, K. Müürisepp, and S. Silm. 2021. “The Impact of COVID-19 on Daily Lives of Transnational People Based on Smartphone Data: Estonians in Finland.” Journal of Location Based Services 1-29. doi: 10.1080/17489725.2021.1887526
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  • Qiu, Y., X. Chen, and W. Shi. 2020. “Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China.” Journal of Population Economics 33 (4): 1–46. doi:10.1007/s00148-020-00778-2.
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  • Verma, S., and R. K. Gazara. 2021. “Big Data Analytics for Understanding and Fighting COVID-19.” Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis, 333–348. Springer, Singapore.
  • Zhao, X., X. Liu, and X. Li. 2020. “Tracking the Spread of Novel Coronavirus (2019-ncov) Based on Big Data.” Available at medRxiv preprints. doi: 10.1101/2020.02.07.20021166.

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