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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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 |
work_keys_str_mv |
AT hwangkim vaccinationdiffusionandincentiveempiricalanalysisoftheusstateofmichigan AT vithalarrao vaccinationdiffusionandincentiveempiricalanalysisoftheusstateofmichigan |
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