Page 161 - GHES-3-2

Global Health Economics and
Sustainability
Vaccine hesitancy in the US, India, and China

Conflict of interest Bertsimas, D., King, A., & Mazumder, R. (2016), Best subset
selection via a modern optimization lens, The Annals of
The authors declare that they have no competing interests. Statistics, 44(2), 813-852.
Authors contributions Casubhoy, I., Kretz, A., Tan, H.L., St Clair, L.A., Parish, M.,
Golding, H., et al. (2024). A scoping review of global
Conceptualization: Shesh N. Rai, Shikshita Singh, Swarna COVID-19 vaccine hesitancy among pregnant persons. NPJ
Sakshi Vaccines, 9(1):131.
Data Curation: Arinjita Bhattacharya, Shikshita Singh, https://doi.org/10.1038/s41541-024-00913-0
Swarna Sakshi, Anand Seth
Formal Analysis: Arinjita Bhattacharya, Shikshita Singh, Deployment of COVID-19 Vaccines. (2024). Wikipedia. Available
Swarna Sakshi, Anand Seth from: https://en.wikipedia.org/wiki/deployment_of_covid-
Investigation: Anand Seth, Shikshita Singh, Swarna Sakshi, 19_vaccines [Last accessed on 2025 Jan 08].
Arinjita Bhattacharya Dey, S., Kusuma, Y.S., Kant, S., Kumar, D., Gopalan, R.B.,
Methodology: Shesh N. Rai, Anand Seth, Arinjita Sridevi, P., et al. (2024). COVID-19 vaccine acceptance and
Bhattacharya hesitancy in Indian context: A systematic review and meta-
Writing – original draft: Swarna Sakshi, Shikshita Singh, analysis. Pathogens and Global Health, 118(2):182-195.
Anand Seth, Arinjita Bhattacharya https://doi.org/10.1080/20477724.2023.2285184
Writing – review & editing: Anand Seth, Arinjita Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., et al. (2020).
Bhattacharya, Shesh N. Rai, Swarna Sakshi
Mental health problems and social media exposure during
Ethics approval and consent to participate COVID-19 outbreak. PLoS One, 15(4):e0231924.
https://doi.org/10.1371/journal.pone.0231924
Ethics approval was not required since no participant was
subjected to observations and/or intervention. Gatto, N.M., Lee, J.E., Massai, D., Zamarripa, S., Sasaninia, B.,
Khurana, D., et al. (2021). Correlates of COVID-19 vaccine
Consent for publication acceptance, hesitancy and refusal among employees of a
safety net California county health system with an early
Not applicable. and aggressive vaccination program: Results from a Cross-
Availability of data sectional survey. Vaccines (Basel), 9(10):1152.
https://doi.org/10.3390/vaccines9101152
The first dataset is extracted from the ICPSR COVID-19
database (https://doi.org/10.3886/E130422V1). The Hastie, T., Tibshirani, R., & Wainwright, M. (2015). Statistical
second dataset is available from https://www.census. Learning with Sparsity the Lasso and Generalizations.
gov/data/experimental-data-products/household-pulse- New York: CRC Press.
survey.html. Hastie, T., Tibshirani, R., & Friedman J. (2017). The Elements of
Statistical Learning: Data Mining, Inference and Prediction,
Further disclosure New York: Springer.
The work has been published as a pre-print Hoerl, A. E., & Kennard, R. W. (1970). Ridge regression: Biased
and is available here https://www.medrxiv.org/ estimation for nonorthogonal problems. Technometrics,
content/10.1101/2022.04.13.22273843v1.full.pdf. 12(1), 55-67.
https://doi.org/10.2307/1267351
References
Household Pulse Survey. (n.d.). Available from: https://www.
Abraham, C., & Sheeran, P. (2015). The health belief model. In: census.gov/data/experimental-data-products/household-
Conner, M., Norman, P. (eds.). Predicting and Changing pulse-survey.html [Last accessed on 2022 Apr 12].
Health Behavior: Research and Practice with Social Cognition
Models. 3 ed. United States: McGraw Hill, p.30-69. Jennings, W., Valgarðsson, V., McKay, L., Stoker, G., Mello, E., &
rd
Baniamin, H.M. (2023). Trust and vaccine hesitancy during
Ahmad, F.B., Cisewski, J.A., & Anderson, R. (2022). Provisional the COVID-19 pandemic: A cross-national analysis. Vaccine
mortality data-United States, 2021. MMWR Morbidity and X, 14:100299.
Mortality Weekly Report, 71(17):597-600.
https://doi.org/10.1016/j.jvacx.2023.100299
https://doi.org/10.15585/mmwr.mm7117e1
Jia, X., Ahn, S., & Carcioppolo, N. (2022). Measuring information
Albrecht, D. (2022). Vaccination, politics and COVID-19 impacts. overload and message fatigue toward COVID-19 prevention
BMC Public Health, 22(1):96.
messages in USA and China. Health Promotion International,
https://doi.org/10.1186/s12889-021-12432-x 38(3):daac003.

Volume 3 Issue 2 (2025) 153 https://doi.org/10.36922/ghes.2958