ArticleNaval research logistics2022
Where to locate COVID-19 mass vaccination facilities?
Article in Naval research logistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions.BMC health services research · 2025Pooled it
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- Pharmacy-based immunization: a systematic review.Frontiers in public health · 2023Pooled it
- Dynamic spatiotemporal graph attention networks for cross-regional multi-disease forecasting and intervention optimization.Frontiers in public health · 2026Article
- Optimization Modeling for Pandemic Vaccine Supply Chain Management: A Review and Future Research Opportunities.Naval research logistics · 2024Article
- Article
- Optimizing the Selection of Mass Vaccination Sites: Access and Equity Consideration.International journal of environmental research and public health · 2024Article
- Modeling geographic vaccination strategies for COVID-19 in Norway.PLoS computational biology · 2024Article
- Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19.European journal of operational research · 2023Article
- Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints.Omega · 2023Article
- A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case.Computers & industrial engineering · 2023Article
- Two-phase COVID-19 medical waste transport optimisation considering sustainability and infection probability.Journal of cleaner production · 2023Article
- A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach.Socio-economic planning sciences · 2023Article
- Dynamic planning of a two-dose vaccination campaign with uncertain supplies.European journal of operational research · 2023Article
- An optimization framework for COVID-19 vaccine allocation and inventory management: A case study.Applied soft computing · 2023Article
- Article
- Location Optimization of COVID-19 Vaccination Sites: Case in Hillsborough County, Florida.International journal of environmental research and public health · 2022Article
- Article
- Where to locate COVID-19 mass vaccination facilities?Naval research logistics · 2022Article
- Study on the Localization of Fangcang Shelter Hospitals During Pandemic Outbreaks.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new Biden administration is launching mass vaccination sites across the country, raising the obvious question of where to locate these clinics to maximize the effectiveness of the vaccination campaign. This paper tackles this question with a novel data-driven approach to optimize COVID-19 vaccine distribution. We first augment a state-of-the-art epidemiological model, called DELPHI, to capture the effects of vaccinations and the variability in mortality rates across age groups. We then integrate this predictive model into a prescriptive model to optimize the location of vaccination sites and subsequent vaccine allocation. The model is formulated as a bilinear, nonconvex optimization model. To solve it, we propose a coordinate descent algorithm that iterates between optimizing vaccine distribution and simulating the dynamics of the pandemic. As compared to benchmarks based on demographic and epidemiological information, the proposed optimization approach increases the effectiveness of the vaccination campaign by an estimated 20%, saving an extra 4000 extra lives in the United States over a 3-month period. The proposed solution achieves critical fairness objectives-by reducing the death toll of the pandemic in several states without hurting others-and is highly robust to uncertainties and forecast errors-by achieving similar benefits under a vast range of perturbations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.