Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan

Vaccination is the only way to reach herd immunity and help people return to normal life. However, vaccination rollouts may not be as fast as expected in some regions due to individuals' vaccination hesitation. For this reason, in Detroit, Michigan, the city government has offered a $50 prepaid...

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Main Authors: Hwang Kim, Vithala R. Rao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2021.740367/full
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spelling doaj-74311ce222fe412c82d8e16b206724a82021-09-08T04:45:40ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-09-01910.3389/fpubh.2021.740367740367Vaccination Diffusion and Incentive: Empirical Analysis of the US State of MichiganHwang Kim0Vithala R. Rao1Chinese University of Hong Kong (CUHK) Business School, The Chinese University of Hong Kong, Shatin, ChinaThe Samuel Curtis Johnson Graduate School of Management, Cornell University, Ithaca, NY, United StatesVaccination is the only way to reach herd immunity and help people return to normal life. However, vaccination rollouts may not be as fast as expected in some regions due to individuals' vaccination hesitation. For this reason, in Detroit, Michigan, the city government has offered a $50 prepaid card to people who entice city residents to visit vaccination sites. This study examined vaccination rates in the US using Detroit, Michigan, as the setting. It sought to address two issues. First, we analyzed the vaccination diffusion process to predict whether any region would reach a vaccination completion level that ensures herd immunity. Second, we examined a natural experiment involving a vaccination incentive scheme in Detroit and discovered its causal inference. We collected weekly vaccination data and demographic Census data from the state of Michigan and employed the Bass model to study vaccination diffusion. Also, we used a synthetic control method to evaluate the causal inference of a vaccination incentive scheme utilized in Detroit. The results showed that many Michigan counties—as well as the city of Detroit—would not reach herd immunity given the progress of vaccination efforts. Also, we found that Detroit's incentive scheme indeed increased the weekly vaccination rate by 44.19% for the first dose (from 0.86 to 1.25%) but was ineffective in augmenting the rate of the second dose. The implications are valuable for policy makers to implement vaccination incentive schemes to boost vaccination rates in geographical areas where such rates remain inadequate for achieving herd immunity.https://www.frontiersin.org/articles/10.3389/fpubh.2021.740367/fullCOVID-19vaccination rolloutsvaccination incentivediffusion modelsynthetic control methodnatural experiment
collection DOAJ
language English
format Article
sources DOAJ
author Hwang Kim
Vithala R. Rao
spellingShingle Hwang Kim
Vithala R. Rao
Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
Frontiers in Public Health
COVID-19
vaccination rollouts
vaccination incentive
diffusion model
synthetic control method
natural experiment
author_facet Hwang Kim
Vithala R. Rao
author_sort Hwang Kim
title Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
title_short Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
title_full Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
title_fullStr Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
title_full_unstemmed Vaccination Diffusion and Incentive: Empirical Analysis of the US State of Michigan
title_sort vaccination diffusion and incentive: empirical analysis of the us state of michigan
publisher Frontiers Media S.A.
series Frontiers in Public Health
issn 2296-2565
publishDate 2021-09-01
description Vaccination is the only way to reach herd immunity and help people return to normal life. However, vaccination rollouts may not be as fast as expected in some regions due to individuals' vaccination hesitation. For this reason, in Detroit, Michigan, the city government has offered a $50 prepaid card to people who entice city residents to visit vaccination sites. This study examined vaccination rates in the US using Detroit, Michigan, as the setting. It sought to address two issues. First, we analyzed the vaccination diffusion process to predict whether any region would reach a vaccination completion level that ensures herd immunity. Second, we examined a natural experiment involving a vaccination incentive scheme in Detroit and discovered its causal inference. We collected weekly vaccination data and demographic Census data from the state of Michigan and employed the Bass model to study vaccination diffusion. Also, we used a synthetic control method to evaluate the causal inference of a vaccination incentive scheme utilized in Detroit. The results showed that many Michigan counties—as well as the city of Detroit—would not reach herd immunity given the progress of vaccination efforts. Also, we found that Detroit's incentive scheme indeed increased the weekly vaccination rate by 44.19% for the first dose (from 0.86 to 1.25%) but was ineffective in augmenting the rate of the second dose. The implications are valuable for policy makers to implement vaccination incentive schemes to boost vaccination rates in geographical areas where such rates remain inadequate for achieving herd immunity.
topic COVID-19
vaccination rollouts
vaccination incentive
diffusion model
synthetic control method
natural experiment
url https://www.frontiersin.org/articles/10.3389/fpubh.2021.740367/full
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