2026-09-21T17:37:32Zhttps://dspace.mit.edu/server/oai/request

oai:dspace.mit.edu:1721.1/1513272023-08-01T04:18:30Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Moser, Bryan R. Majima, Eishi System Design and Management Program. 2023-07-31T19:31:33Z 2023-07-31T19:31:33Z 2023-06 2023-06-23T19:55:26.833Z https://hdl.handle.net/1721.1/151327 COVID-19 vaccination played a critical role in preventing the spread of the disease in the global pandemic. Research on operational mechanisms of COVID-19 vaccination projects is limited compared with the epidemiologic and socio-economic studies. Japan is a unique country with various operational information on COVID-19 vaccinations publicly available. This research evaluated vaccination trends in 49 countries and developed the model of vaccination trends in Japan to understand the operational mechanisms of national-scale projects. The international comparison revealed Japan’s slow vaccine authorizations and yet the 13th earliest and 3rd fastest to achieve the achievement of 70% full vaccination coverage. Globally comparing the daily vaccination trends exhibited a slow pace in Japan’s first 80 days of the vaccination project. The study found the different levels of ceiling effects of vaccine distributions on daily first-dose vaccinations by vaccine category in Japan. Based on the observations, the research developed a system dynamics model on vaccination trends with four operational factors: willing people to take vaccines, daily vaccine deliveries, vaccine stocks on sites, and human resource capacities. The model fit the actual 7-day smoothed daily vaccination trends with the R-squared of 0.943, 0.909, and 0.915 for the total, first, and second doses with Pfizer/BioNTech and Takeda/Moderna vaccines in the primary series in Japan. The simulation predicted cumulative vaccination trends with 70% coverage achievement period errors (percentage errors) of 10 days (4.24%), 12 days (5.41%), and 8 days (3.23%) for the total, first, and second doses, respectively. The developed model was applied to explore room for operational improvement in Japan for resource-saving and acceleration purposes. The experiment demonstrated the potential savings of over 20 thousand healthcare worker recruitments without vaccination delay due to vaccine supply constraints and by a modified team structure in sites with the higher nurse–doctor ratio of 3 or more. For acceleration purposes, the model estimated limited opportunities with human resource management under the vaccine supply constraints, only shortening the 70% full vaccination coverage period by 3 days. This research provides performance metrics and a simulation tool for model-based project planning and management applicable to future pandemics and public emergency responses by practitioners. S.M. Massachusetts Institute of Technology In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ A Case Study of Project Management of COVID-19 Vaccination in Japan Thesis application/pdf Master Master of Science in Engineering and Management Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="14ded5d3-da02-4756-afb1-7fdc420b08c3"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>A Case Study of Project Management of COVID-19 Vaccination in Japan</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2023-06</PublicationDate> <Authors> <Author> <DisplayName>Majima, Eishi</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://rightsstatements.org/page/InC-EDU/1.0/</License> <Abstract>COVID-19 vaccination played a critical role in preventing the spread of the disease in the global pandemic. Research on operational mechanisms of COVID-19 vaccination projects is limited compared with the epidemiologic and socio-economic studies. Japan is a unique country with various operational information on COVID-19 vaccinations publicly available. This research evaluated vaccination trends in 49 countries and developed the model of vaccination trends in Japan to understand the operational mechanisms of national-scale projects. The international comparison revealed Japan’s slow vaccine authorizations and yet the 13th earliest and 3rd fastest to achieve the achievement of 70% full vaccination coverage. Globally comparing the daily vaccination trends exhibited a slow pace in Japan’s first 80 days of the vaccination project. The study found the different levels of ceiling effects of vaccine distributions on daily first-dose vaccinations by vaccine category in Japan. Based on the observations, the research developed a system dynamics model on vaccination trends with four operational factors: willing people to take vaccines, daily vaccine deliveries, vaccine stocks on sites, and human resource capacities. The model fit the actual 7-day smoothed daily vaccination trends with the R-squared of 0.943, 0.909, and 0.915 for the total, first, and second doses with Pfizer/BioNTech and Takeda/Moderna vaccines in the primary series in Japan. The simulation predicted cumulative vaccination trends with 70% coverage achievement period errors (percentage errors) of 10 days (4.24%), 12 days (5.41%), and 8 days (3.23%) for the total, first, and second doses, respectively. The developed model was applied to explore room for operational improvement in Japan for resource-saving and acceleration purposes. The experiment demonstrated the potential savings of over 20 thousand healthcare worker recruitments without vaccination delay due to vaccine supply constraints and by a modified team structure in sites with the higher nurse–doctor ratio of 3 or more. For acceleration purposes, the model estimated limited opportunities with human resource management under the vaccine supply constraints, only shortening the 70% full vaccination coverage period by 3 days. This research provides performance metrics and a simulation tool for model-based project planning and management applicable to future pandemics and public emergency responses by practitioners.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>