. 2022 Jul 26:10:949482.

doi: 10.3389/fpubh.2022.949482. eCollection 2022.

Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

Feng Hu¹, Liping Qiu¹, Wei Xia², Chi-Fang Liu³, Xun Xi⁴, Shuang Zhao⁵, Jiaao Yu⁶, Shaobin Wei⁷, Xiao Hu⁸, Ning Su⁹, Tianyu Hu¹⁰, Haiyan Zhou¹¹, Zhuang Jin¹²

Affiliations

¹ Global Value Chain Research Center, Zhejiang Gongshang University, Hangzhou, China.
² Institute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
³ Department of Business Administration, Cheng Shiu University, Kaohsiung, Taiwan.
⁴ School of Management, Shandong Technology and Business University, Yantai, China.
⁵ Business School, Hohai University, Nanjing, China.
⁶ London College of Communication, University of the Arts London, London, United Kingdom.
⁷ Institute of Spatial Planning & Design, Zhejiang University City College, Hangzhou, China.
⁸ Cash Crop Workstation, Shangcheng Bureau of Agriculture and Rural Affairs, Shangcheng, China.
⁹ School of MBA, Zhejiang Gongshang University, Hangzhou, China.
¹⁰ School of Information Engineering, Zhengzhou University, Zhengzhou, China.
¹¹ Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai, China.
¹² Baotou Teachers' College, Inner Mongolia University of Science & Technology, Baotou, China.

PMID: 35958849
PMCID: PMC9360794
DOI: 10.3389/fpubh.2022.949482

Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

Feng Hu et al. Front Public Health. 2022.

. 2022 Jul 26:10:949482.

doi: 10.3389/fpubh.2022.949482. eCollection 2022.

Authors

Feng Hu¹, Liping Qiu¹, Wei Xia², Chi-Fang Liu³, Xun Xi⁴, Shuang Zhao⁵, Jiaao Yu⁶, Shaobin Wei⁷, Xiao Hu⁸, Ning Su⁹, Tianyu Hu¹⁰, Haiyan Zhou¹¹, Zhuang Jin¹²

Affiliations

¹ Global Value Chain Research Center, Zhejiang Gongshang University, Hangzhou, China.
² Institute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
³ Department of Business Administration, Cheng Shiu University, Kaohsiung, Taiwan.
⁴ School of Management, Shandong Technology and Business University, Yantai, China.
⁵ Business School, Hohai University, Nanjing, China.
⁶ London College of Communication, University of the Arts London, London, United Kingdom.
⁷ Institute of Spatial Planning & Design, Zhejiang University City College, Hangzhou, China.
⁸ Cash Crop Workstation, Shangcheng Bureau of Agriculture and Rural Affairs, Shangcheng, China.
⁹ School of MBA, Zhejiang Gongshang University, Hangzhou, China.
¹⁰ School of Information Engineering, Zhengzhou University, Zhengzhou, China.
¹¹ Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai, China.
¹² Baotou Teachers' College, Inner Mongolia University of Science & Technology, Baotou, China.

PMID: 35958849
PMCID: PMC9360794
DOI: 10.3389/fpubh.2022.949482

Abstract

Since the outbreak of Coronavirus Disease 2019 (COVID-19), the Chinese government has taken a number of measures to effectively control the pandemic. By the end of 2021, China achieved a full vaccination rate higher than 85%. The Chinese Plan provides an important model for the global fight against COVID-19. Internet search reflects the public's attention toward and potential demand for a particular thing. Research on the spatiotemporal characteristics of online attention to vaccines can determine the spatiotemporal distribution of vaccine demand in China and provides a basis for global public health policy making. This study analyzes the spatiotemporal characteristics of online attention to vaccines and their influencing factors in 31 provinces/municipalities in mainland China with Baidu Index as the data source by using geographic concentration index, coefficient of variation, GeoDetector, and other methods. The following findings are presented. First, online attention to vaccines showed an overall upward trend in China since 2011, especially after 2016. Significant seasonal differences and an unbalanced monthly distribution were observed. Second, there was an obvious geographical imbalance in online attention to vaccines among the provinces/municipalities, generally exhibiting a spatial pattern of "high in the east and low in the west." Low aggregation and obvious spatial dispersion among the provinces/municipalities were also observed. The geographic distribution of hot and cold spots of online attention to vaccines has clear boundaries. The hot spots are mainly distributed in the central-eastern provinces and the cold spots are in the western provinces. Third, the spatiotemporal differences in online attention to vaccines are the combined result of socioeconomic level, socio-demographic characteristics, and disease control level.

Keywords: GeoDetector; online attention; public health; spatiotemporal characteristics; vaccine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

**Figure 1**
Changes in OAV from 2011 to 2019 (unit: 10,000).

**Figure 2**
Distribution of hot and cold spots of OAV in China.

See this image and copyright information in PMC

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Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

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Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

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