A hub-and-spoke design for ultra-cold COVID-19 vaccine distribution

Xu, Xinglu; Rodgers, Mark D.; Guo, Weihong

doi:10.1016/j.vaccine.2021.08.069

Cited by 12 publications

(5 citation statements)

References 29 publications

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“…The hub and spoke model was successfully adopted in several developed and developing country to provide support to the far reached areas of the country and provide necessary expertise in times of need interms of medical, surgical support and vaccine distribution during COVID-19 [31][32][33] . Genomic testing in the NHS England is being provided through a national testing network, a hub-and-spoke model consolidating and enhancing the existing laboratory provision to create a world class genomic testing resource for the NHS and underpin the NHS Genomic Medicine Service.…”

Section: Discussionmentioning

confidence: 99%

The role of UAE in supporting COVID-19 genomic surveillance across the EMRO for complex emergency countries

Amirtharaj,

Meredith,

Almarzooqi

et al. 2023

Preprint

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Introduction The Eastern Mediterranean region was highly exposed to COVID-19 due to diverse challenges and lack of laboratory resources and relevant expertise in these countries limited the quality of detection and surveillance of circulating strains. UAE, through the Reference Laboratory for Infectious Disease-Abu Dhabi (RLID-AD), played a central role in providing genomic support to these countries. Methods SARS-CoV-2 samples were transported to RLID-AD with support from WHO/EMRO, then sequenced primarily using the Midnight workflow and GridION from Oxford Nanopore Technology and the data were analysed using the CLC platform from Qiagen, and lineages assigned using Pangolin. Results Between April 2021 and March 2022, RLID-AD received 170 COVID-19 samples from Syria, Yemen and Lebanon for genomic analysis. Of these , 159 were successfully sequenced (93.5%) with >90% coverage and 30x depth, with lineages being successfully assigned through Pangolin. The lineages discovered were predominantly alpha, beta, and delta variants, largely consistent with the global waves at the time. Turnaround time from receipt at the lab to result sharing with member states was 2-3 weeks. Conclusion The implementation of a hub-and-spoke model for sequencing support was a key aspect to the COVID-19 response in the EMRO region. UAE played a critical role in supporting genomics surveillance in the region, despite the logistic challenges faced with transport and importing of samples to UAE. The challenges faced during COVID19 pandemic clearly demonstrates the need for implementation of national-level sequencing laboratories that contribute data to the region, with hubs acting in technical and emergency support.

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Section: Discussionmentioning

confidence: 99%

The role of UAE in supporting COVID-19 genomic surveillance across the EMRO for complex emergency countries

Amirtharaj,

Meredith,

Almarzooqi

et al. 2023

Preprint

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“…The hub-and-spoke model has been used in many sectors including health. 4,24,25 Like the concept of a wheel, the model consists of a hub providing centralized assets or services, and decentralized spokes that deliver and organize services. In practice, the application of the model differs in degree of centralization, depending on the service needs.…”

Section: Analytical Approachmentioning

confidence: 99%

Hub and spokes in intellectual disability mental health support

Fisher

Purcal

Weise

et al. 2023

Preprint

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Purpose The distribution of specialist health services is usually uneven by location due to limited resources, which is a problem for people with complex needs. In this context, the research addressed the question: How can a hub and spoke model offer appropriate (available, accessible, acceptable and quality) services for people with intellectual disability and mental health needs? Methods The research applied the question to point-in-time qualitative interview data about services for people with intellectual disability and mental health needs in the Australian state of New South Wales (NSW). The interview data were from a larger mixed-methods evaluation of a time-limited intervention (2018-2020). Purposeful sampling was used to recruit 25 program consumers, families and service providers for semi-structured qualitative interviews, and 14 other stakeholders for focus groups and interviews. Topics included their experience of the process and outcomes of the intervention. Data were analyzed against a hub-and-spoke model analytical framework. Results The research found that the appropriateness of health services benefited from funded, local positions. These local professionals liaised between local mental health, health and disability providers. They also liaised with other local areas and with centralized, specialist intellectual disability mental health services. Conclusions The implication is that specific local positions can work as a bridge between generic and specialist services to improve the availability, access, acceptability and quality of services for people with specific support needs. This program worked well in a geographically large area with a scattered population and decentralized health system.

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“…(The warehouses can have their own sites as well.) The vaccine recipients from the neighborhood visit the sites to get inoculated [21,22].…”

Section: Vaccine Distributionmentioning

confidence: 99%

“…Given the weight of the social tie between individuals 𝑢 and 𝑣, 𝑤 (𝑢, 𝑣) measuring the likelihood of disease transmissibility based on the duration and frequency of contacts between the people, the distance, and their locations; and the number of simple paths between nodes 𝑢 and 𝑣, ℎ(𝑢, 𝑣), 𝑐 (𝑢, 𝑣) = 𝑤 (𝑢,𝑣) ℎ (𝑢,𝑣 . Xu et al presented a vaccination coverage metric that determines the percentage of vaccinated individuals [22]. The proposed metric improves upon the transportation accessibility and demographics constraints of the existing coverage metrics.…”

Section: 32mentioning

confidence: 99%

Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions

Roy¹,

Ghosh²,

Uplavikar³

et al. 2022

Preprint

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The pandemic caused by SARS-CoV-2 has left an unprecedented impact on health, economy and society worldwide. Emerging strains are making pandemic management increasingly challenging. There is an urge to collect epidemiological, clinical, and physiological data to make an informed decision on mitigation measures. Advances in the Internet of Things (IoT) and edge computing provide solutions for pandemic management through data collection and intelligent computation. While existing data-driven architectures attempt to automate decision-making, they do not capture the multifaceted interaction among computational models, communication infrastructure, and the generated data. In this paper, we perform a survey of the existing approaches for pandemic management, including online data repositories and contact-tracing applications. We then envision a unified pandemic management architecture that leverages the IoT and edge computing to automate recommendations on vaccine distribution, dynamic lockdown, mobility scheduling and pandemic prediction. We elucidate the flow of data among the layers of the architecture, namely, cloud, edge and end device layers. Moreover, we address the privacy implications, threats, regulations, and existing solutions that may be adapted to optimize the utility of health data with security guarantees. The paper ends with a lowdown on the limitations of the architecture and research directions to enhance its practicality.

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A hub-and-spoke design for ultra-cold COVID-19 vaccine distribution

Cited by 12 publications

References 29 publications

The role of UAE in supporting COVID-19 genomic surveillance across the EMRO for complex emergency countries

The role of UAE in supporting COVID-19 genomic surveillance across the EMRO for complex emergency countries

Hub and spokes in intellectual disability mental health support

Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions

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