ArticleFrontiers in public health2022
Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The mutualistic symbiosis of public and scientific attention in science communication.Scientific reports · 2025Article
- Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.World journal of orthopedics · 2025Article
- Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study.Journal of medical Internet research · 2025Observational
- Spatiotemporal characteristics and influencing factors of network attention to resort hotels in China.Heliyon · 2024Article
- Spatiotemporal dynamic and regional differences of public attention to vaccination: An empirical study in China.PloS one · 2024Article
- Hemophilia Healing with AAV: Navigating the Frontier of Gene Therapy.Current gene therapy · 2024Review
- Article
- Engineering and design of promising T-cell-based multi-epitope vaccine candidates against leishmaniasis.Scientific reports · 2023Article
- Trends in the Baidu Index in Search Activity Related to Mpox at Geographical and Economic Levels and Associated Factors in China: National Longitudinal Analysis.JMIR formative research · 2023Article
- A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques.Diagnostics (Basel, Switzerland) · 2023Review
- Spatial network and driving factors of low-carbon patent applications in China from a public health perspective.Frontiers in public health · 2023Article
- Healthcare provider awareness, attitudes, beliefs, and behaviors regarding the role of pharmacists as immunizers.Human vaccines & immunotherapeutics · 2022Article
- Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.