Modern approaches to predicting vaccine hesitancy: A scoping review
Introduction: Motivated by the disproportionate burden of infectious diseases on vulnerable populations and the risk of future pandemics, we conducted a scoping review to analyze the state of the literature about “vaccine uptake indices,” defined as models that predict vaccination rates by geospatia...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Vaccine: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259013622500049X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849725728255377408 |
|---|---|
| author | Keshav Gandhi Sami Alahmadi Rosie Hanneke Alexander Gutfraind |
| author_facet | Keshav Gandhi Sami Alahmadi Rosie Hanneke Alexander Gutfraind |
| author_sort | Keshav Gandhi |
| collection | DOAJ |
| description | Introduction: Motivated by the disproportionate burden of infectious diseases on vulnerable populations and the risk of future pandemics, we conducted a scoping review to analyze the state of the literature about “vaccine uptake indices,” defined as models that predict vaccination rates by geospatial area. We analyzed novel vaccine uptake indices created in response to the recent COVID-19 pandemic. The aim of this scoping review is to survey the state of the literature regarding vaccine uptake indices relating to COVID-19 and other infectious diseases. Methods: We followed Arksey and O’Malley's scoping review framework and reported results according to PRISMA-ScR guidelines. Searches used controlled vocabulary and keywords across four conceptual domains: quantitative indices, geospatial analysis, infectious disease (COVID-19), and vaccination or vulnerability outcomes. Our systematic search strategy identifies relevant articles from the databases Embase, PubMed, and Web of Science with title and abstract screening, full-text review, and data extraction. Results: Database searches resulted in 3615 potential articles, of which 229 reports were included. Fifteen studies (7 %) were determined to be methodologically advanced vaccine uptake indices that had at least three of the following characteristics: the use of individual- and population-level predictor variables (100 [44 %]), geo-spatiotemporal analysis (58 [25 %]), data usage agnostic to vaccine specificity (50 [22 %]), or sociobehavioral frameworks of health (such as the Health Belief Model and Theory of Planned Behavior) (30 [13 %]). Conclusion: This scoping review offers suggestions for future research of next-generation vaccine uptake indices before use in vaccination campaigns of recurring or novel infectious diseases. Areas to pursue include utilizing individual-level data about vaccination behaviors in conjunction with administrative data, solving the challenge of implementing small-area spatiotemporal analysis, using vaccine-agnostic methods that consider data from more than one infectious disease, and assisting causal inference with theoretical frameworks. |
| format | Article |
| id | doaj-art-e63288ce68ea47ea8f59574056b4f91b |
| institution | DOAJ |
| issn | 2590-1362 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Vaccine: X |
| spelling | doaj-art-e63288ce68ea47ea8f59574056b4f91b2025-08-20T03:10:24ZengElsevierVaccine: X2590-13622025-06-012410065510.1016/j.jvacx.2025.100655Modern approaches to predicting vaccine hesitancy: A scoping reviewKeshav Gandhi0Sami Alahmadi1Rosie Hanneke2Alexander Gutfraind3Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, 851 S. Morgan St., Chicago, IL 60607, USA; Corresponding authors.Georgetown University School of Medicine, 3900 Reservoir Rd. N.W., Washington, DC 20007, USALibrary of the Health Sciences, University of Illinois at Chicago, 1750 W. Polk St., Chicago, IL 60612, USAThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, 2160 S. First Ave., Maywood, IL, United States, 60153; Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., Chicago, IL 60612, USAIntroduction: Motivated by the disproportionate burden of infectious diseases on vulnerable populations and the risk of future pandemics, we conducted a scoping review to analyze the state of the literature about “vaccine uptake indices,” defined as models that predict vaccination rates by geospatial area. We analyzed novel vaccine uptake indices created in response to the recent COVID-19 pandemic. The aim of this scoping review is to survey the state of the literature regarding vaccine uptake indices relating to COVID-19 and other infectious diseases. Methods: We followed Arksey and O’Malley's scoping review framework and reported results according to PRISMA-ScR guidelines. Searches used controlled vocabulary and keywords across four conceptual domains: quantitative indices, geospatial analysis, infectious disease (COVID-19), and vaccination or vulnerability outcomes. Our systematic search strategy identifies relevant articles from the databases Embase, PubMed, and Web of Science with title and abstract screening, full-text review, and data extraction. Results: Database searches resulted in 3615 potential articles, of which 229 reports were included. Fifteen studies (7 %) were determined to be methodologically advanced vaccine uptake indices that had at least three of the following characteristics: the use of individual- and population-level predictor variables (100 [44 %]), geo-spatiotemporal analysis (58 [25 %]), data usage agnostic to vaccine specificity (50 [22 %]), or sociobehavioral frameworks of health (such as the Health Belief Model and Theory of Planned Behavior) (30 [13 %]). Conclusion: This scoping review offers suggestions for future research of next-generation vaccine uptake indices before use in vaccination campaigns of recurring or novel infectious diseases. Areas to pursue include utilizing individual-level data about vaccination behaviors in conjunction with administrative data, solving the challenge of implementing small-area spatiotemporal analysis, using vaccine-agnostic methods that consider data from more than one infectious disease, and assisting causal inference with theoretical frameworks.http://www.sciencedirect.com/science/article/pii/S259013622500049XVaccinesVaccination hesitancyCOVID-19Health equitySpatio-temporal analysis |
| spellingShingle | Keshav Gandhi Sami Alahmadi Rosie Hanneke Alexander Gutfraind Modern approaches to predicting vaccine hesitancy: A scoping review Vaccine: X Vaccines Vaccination hesitancy COVID-19 Health equity Spatio-temporal analysis |
| title | Modern approaches to predicting vaccine hesitancy: A scoping review |
| title_full | Modern approaches to predicting vaccine hesitancy: A scoping review |
| title_fullStr | Modern approaches to predicting vaccine hesitancy: A scoping review |
| title_full_unstemmed | Modern approaches to predicting vaccine hesitancy: A scoping review |
| title_short | Modern approaches to predicting vaccine hesitancy: A scoping review |
| title_sort | modern approaches to predicting vaccine hesitancy a scoping review |
| topic | Vaccines Vaccination hesitancy COVID-19 Health equity Spatio-temporal analysis |
| url | http://www.sciencedirect.com/science/article/pii/S259013622500049X |
| work_keys_str_mv | AT keshavgandhi modernapproachestopredictingvaccinehesitancyascopingreview AT samialahmadi modernapproachestopredictingvaccinehesitancyascopingreview AT rosiehanneke modernapproachestopredictingvaccinehesitancyascopingreview AT alexandergutfraind modernapproachestopredictingvaccinehesitancyascopingreview |