Cite
Using regression tree analysis to examine demographic and geographic characteristics of COVID-19 vaccination trends over time, United States, May 2021-April 2022, National Immunization Survey Adult COVID Module.
MLA
Earp, Morgan, et al. “Using Regression Tree Analysis to Examine Demographic and Geographic Characteristics of COVID-19 Vaccination Trends over Time, United States, May 2021-April 2022, National Immunization Survey Adult COVID Module.” Vaccine, vol. 42, no. 26, Oct. 2024, p. 126372. EBSCOhost, https://doi.org/10.1016/j.vaccine.2024.126372.
APA
Earp, M., Meng, L., Black, C. L., Carter, R. J., Lu, P.-J., Singleton, J. A., & Chorba, T. (2024). Using regression tree analysis to examine demographic and geographic characteristics of COVID-19 vaccination trends over time, United States, May 2021-April 2022, National Immunization Survey Adult COVID Module. Vaccine, 42(26), 126372. https://doi.org/10.1016/j.vaccine.2024.126372
Chicago
Earp, Morgan, Lu Meng, Carla L Black, Rosalind J Carter, Peng-Jun Lu, James A Singleton, and Terence Chorba. 2024. “Using Regression Tree Analysis to Examine Demographic and Geographic Characteristics of COVID-19 Vaccination Trends over Time, United States, May 2021-April 2022, National Immunization Survey Adult COVID Module.” Vaccine 42 (26): 126372. doi:10.1016/j.vaccine.2024.126372.