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Spatial monitoring to reduce COVID-19 vaccine hesitance

Author

Listed:
  • Ge Lin

    (Hong Kong University of Science & Technology (Guangzhou))

  • Tonglin Zhang

    (Purdue University)

Abstract

Arthur Getis is a pioneer in spatial statistics. His collaboration with Keith Ord has inspired our long-standing collaboration between a geographer and a statistician. Getis often tackled real-world infectious disease problems using spatial statistics, which has motivated our work from time to time. In this paper, we report a 10-week spatial intervention for reducing COVID-19 vaccine hesitancy. In contrast to spatiotemporal modeling, we mapped and detected spatial patterning of vaccination each week in conjunction with the social vulnerability index (SVI). Between week one and week eight, we identified substantial spatial clustering effects of COVID-19 vaccine administrations. These effects were negatively associated with SVI, meaning that the more vulnerable populations were less likely to be vaccinated. This directional effect changed to positive suggesting significant progress from the intervention. Even though we observed some global spatial clustering in the early weeks, low-value clusters or cool spots for vaccine hesitance were no longer present after SVI was controlled. The use of spatial statistics and the SVI can help monitor targeted interventions to reduce vaccination disparities.

Suggested Citation

  • Ge Lin & Tonglin Zhang, 2024. "Spatial monitoring to reduce COVID-19 vaccine hesitance," Journal of Geographical Systems, Springer, vol. 26(2), pages 249-264, April.
    • Handle: RePEc:kap:jgeosy:v:26:y:2024:i:2:d:10.1007_s10109-023-00437-6
    DOI: 10.1007/s10109-023-00437-6
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    References listed on IDEAS

    as
    1. Zhang, Tonglin & Lin, Ge, 2014. "Family of power divergence spatial scan statistics," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 162-178.
    2. Zhang, Tonglin & Lin, Ge, 2009. "Spatial scan statistics in loglinear models," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2851-2858, June.
    3. Tonglin Zhang & Ge Lin, 2009. "Cluster Detection Based on Spatial Associations and Iterated Residuals in Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 65(2), pages 353-360, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Alan T. Murray & Luc Anselin & Sergio J. Rey, 2024. "Arthur Getis: a legend in geographical systems," Journal of Geographical Systems, Springer, vol. 26(2), pages 181-190, April.

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    More about this item

    Keywords

    Vaccine hesitance; Quasi-Poisson model; Social vulnerable index; Spatial clustering and clusters; Spatial scan statistic; Overdispersion;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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