Evaluation of Simplified HCV Diagnostics in HIV/HCV Co-Infected Patients in Myanmar.

To evaluate a decentralised testing model and simplified treatment protocol of hepatitis C virus (HCV) infection to facilitate treatment scale-up in Myanmar, this prospective, observational study recruited HIV-HCV co-infected outpatients receiving sofosbuvir/daclatasvir in Yangon, Myanmar. The study examined the outcomes and factors associated with a sustained virological response (SVR). A decentralised "hub-and-spoke" testing model was evaluated where fingerstick capillary specimens were transported by taxi and processed centrally. The performance of the Xpert HCV VL Fingerstick Assay in detecting HCV RNA was compared to the local standard of care ( plasma HCV RNA collected by venepuncture). Between January 2019 and February 2020, 162 HCV RNA-positive individuals were identified; 154/162 (95%) initiated treatment, and 128/154 (84%) returned for their SVR12 visit. A SVR was achieved in 119/154 (77%) participants in the intent-to-treat population and 119/128 (93%) participants in the modified-intent-to-treat population. Individuals receiving an antiretroviral therapy were more likely to achieve a SVR (with an odds ratio (OR) of 7.16, 95% CI 1.03-49.50), while those with cirrhosis were less likely (OR: 0.26, 95% CI 0.07-0.88). The sensitivity of the Xpert HCV VL Fingerstick Assay was 99.4% (95% CI 96.7-100.0), and the specificity was 99.2% (95% CI 95.9-99.9). A simplified treatment protocol using a hub-and-spoke testing model of fingerstick capillary specimens can achieve an SVR rate in LMIC comparable to well-resourced high-income settings.

Impact of the COVID-19 pandemic on an online cancer screening training programme for healthcare providers in the public sector in India: learnings from a hub and spoke model perspective.

Introduction: This article elicits our experiences and strategic approaches to ensure the sustainability of the online capacity-building programmes for healthcare providers (HCPs) in comprehensive cancer screening through the 'Hub and Spoke' model during the coronavirus disease (COVID-19) pandemic. Methods: During the first wave of COVID-19, training for three cohorts of medical officers (MO) (Batch-A) was ongoing (May-December 2020). The Indian health system abruptly shifted focus towards containing the COVID-19 spread, leading to new challenges in conducting training courses. A new five-step strategic approach for cohort MO-14 (Batch-B) was adopted to spread awareness about the importance of cancer screening and the roles and responsibilities of HCPs in the implementation and conduct of practical sessions in their states in collaboration with their respective state governments. We also adopted social media - WhatsApp for official communication. Results: Enrolling Batch-B following the new strategic approach reduced refusals by 25% and dropouts by 36% compared to Batch-A. Course compliance and completion was a significant 96% in Batch-B. Conclusion: The COVID-19 pandemic opened a window of opportunity to understand the need for vital changes to improve the quality of our hybrid cancer screening training. Inclusion of the state government in planning and implementing the changes, awareness among HCPs about the importance of training and responsible acceptance of cancer screening, district-wise approach, use of social media in sharing course materials and conducting in-person training in the respective state have demonstrated significant impact on the quality of the training and in scaling-up of cancer screening. Prolonged mentorship, robust Internet connectivity for providers and training on handling gadgets and online video communication would profoundly benefit remote training programmes.A well-devised backup system is essential for training programmes during unforeseen eventualities such as the COVID pandemic.

Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach.

When COVID-19 suddenly broke out, the epidemic areas are short of basic emergency relief which need to be transported from surrounding areas. To make transportation both time-efficient and cost-effective, we consider a multimodal hub-and-spoke transportation network for emergency relief schedules. Firstly, we establish a mixed integer nonlinear programming (MINLP) model considering multi-type emergency relief and multimodal transportation. The model is a bi-objective one that aims at minimizing both transportation time consumption and transportation costs. Due to its NP-hardness, devising an efficient algorithm to cope with such a problem is challenging. This study thus employs and redesigns Grey Wolf Optimizer (GWO) to tackle it. To benchmark our algorithm, a real-world case is tested with three solution methods which include other two state-of-the-art meta-heuristics. Results indicate that the customized GWO can solve such a problem in a reasonable time with higher accuracy. The research could provide significant practical management insights for related government departments and transportation companies on designing an effective transportation network for emergency relief schedules when faced with the unexpected COVID-19 pandemic.

Optimization of Indonesia's Shipping Routes during the Covid-19 Pandemic with Hub-Spoke Network Patterns

Covid 19 precautions have had a major impact in many industries due to the depressed flow of customers who usually support businesses. Covid-19 also seriously impacts the global economy and global supply chains, including global shipping. Indonesia's geographical location flanked by two oceans and two continents makes Indonesia's sea area one of the main routes of world trade. Indonesia's strategic conditions are not offset by Indonesia's low logistics efficiency. This paper produces recommendations on Indonesia's maritime logistics routes and improves them to further incur optimal total costs. Such improvements are achieved using a combination of routes that have not been considered from previous research. The problem is modeled as a mixed-integer program and Gurobi Optimization is used to generate the solution. © 2022 IEEE.

A simulation framework to evaluate efficiency and safety of public transportation systems during pandemic

With the spread of the SARS-CoV-2 virus, the return to operations for schools, workplaces, and other work-life related activities has been largely affected by social distancing and other pandemic containment policies. System operators need to consider potential virus spread to reduce infections, while ensuring operational efficiency. This is particularly important for public transit services that form social hubs and possible hotspots for the spread of virus. In this paper, we develop a simulation platform to validate the design of routes and bus schedules for a large university's transit system. We use an agent-based model to track the operations of buses, as well as the quality of service provided to each passenger and estimate their exposure to a contagious virus. Our results show that the redesign of a traditional system into a Hub-and-Spoke design can improve operational efficiency with the same number of vehicles and reduces possible infections inside buses by reducing consecutive in-vehicle travel time for all passengers. © 2022 IISE Annual Conference and Expo 2022. All rights reserved.

Regional Collaborations Supporting Cyberinfrastructure-Enabled Research During a Pandemic: The Structure and Support Plan of the SWEETER CyberTeam

CyberInfrastructure enthusiasts in the South West United States collaborated to form the National Science Foundation CC∗- funded SWEETER CyberTeam. SWEETER offers CI support to foster research collaborations at several minority serving institutions in Texas, New Mexico, and Arizona. Its training programs and student mentorship have supported participants, with several taking CI professional positions at research computing facilities. In this paper, we discuss the structure of the CyberTeam and the impact of the COVID 19 pandemic on its activities. The SWEETER CyberTeam has a hub-and-spoke structure that adopted a federated approach to ensure that each site maintained its own identity and was able to leverage local programs. It took a "boots on the ground"approach that ensured that services were up and running in a short period of time. To ensure adequate coverage of all fields of science, the project adopted an inclusive fractional service approach that leveraged expertise at the participating sites. The Cyberteam has organized several workshops, hackathons, and training events. Team members have participated in completions and several follow-on programs have been funded. We present the achievements and learnings from this effort and discuss efforts to make it sustainable. © 2022 Owner/Author.

Hub-and-spoke network design for container shipping considering disruption and congestion in the post COVID-19 era

Global maritime supply chain (MSC) faces increasing risks of uncertainty in the post COVID-19 era, ports disruptions and congestion are becoming common. To ensure high reliability of container shipping network, this paper study on the issue of locating hub ports and allocating non-hub ports (spokes) to hubs, meanwhile backup hub ports. An extended container shipping hub-and-spoke network design problem (HSN) is investigated, considering the failure and congestion of hubs, a 0–1 nonlinear programming model is developed for minimizing the transportation cost. Furthermore, we simulate container shipping network using Asia-Europe trade data, and propose the approach of particle swarm optimization (PSO) to solve the model. The experimental results show that path replacement cost and congestion cost affect the network design to a great extent, and backup hub ports could improve the reliability of global container shipping networks for capacity scheduling and allocation. This study can provide certain useful managerial insights for the liner company's daily operation, and design flexible container shipping HSN to ensure maximum efficiency after the COVID-19 irruption.

Aneurismal subarachnoid hemorrhage during the COVID-19 outbreak in a Hub and Spoke system: observational multicenter cohort study in Lombardy, Italy.

BACKGROUND: Lombardy was the most affected Italian region by the first phase of the COVID-19 pandemic and underwent urgent reorganization for the management of emergencies, including subarachnoid hemorrhage from a ruptured cerebral aneurysm (aSAH). The aim of the study was to define demographics, clinical, and therapeutic features of aSAH during the COVID-19 outbreak and compare these with a historical cohort. METHODS: In this observational multicenter cohort study, patients aged 18 years or older, who were diagnosed with aSAH at the participating centers in Lombardy from March 9 to May 10, 2020, were included (COVID-19 group). In order to minimize bias related to possible SAH seasonality, the control group was composed of patients diagnosed with aSAH from March 9 to May 10 of the three previous years, 2017-2018-2019 (pre-pandemic group). Twenty-three demographic, clinical, and therapeutic features were collected. Statistical analysis was performed. RESULTS: Seventy-two patients during the COVID-19 period and 179 in the control group were enrolled at 14 centers. Only 4 patients were positive for SARS-CoV-2. The "diagnostic delay" was significantly increased (+ 68%) in the COVID-19 group vs. pre-pandemic (1.06 vs. 0.63 days, respectively, p-value = 0.030), while "therapeutic delay" did not differ significantly between the two periods (0.89 vs. 0.74 days, p-value = 0.183). Patients with poor outcome (GOS at discharge from 1 to 3) were higher during the COVID-19 period (54.2%) compared to pre-pandemic (40.2%, p = 0.044). In logistic regression analysis, in which outcome was the dichotomized Glasgow Outcome Scale (GOS), five variables showed p-values < 0.05: age at admission, WFNS grade, treatment (none), days in ICU, and ischemia. CONCLUSIONS: We documented a significantly increased "diagnostic delay" for subarachnoid hemorrhages during the first COVID-19 outbreak in Lombardy. However, despite the dramatic situation that the healthcare system was experiencing, the Lombardy regional reorganization model, which allowed centralization of neurosurgical emergencies such as SAHs, avoided a "therapeutic delay" and led to results overall comparable to the control period.

The 'hub and spoke model' for the management of surgical patients during the COVID-19 pandemic.

During the on-going COVID-19 pandemic a number of key public health services have been severely impacted. These include elective surgical services due to the synergetic resources required to provide both perioperative surgical care whilst also treating acute COVID-19 patients and also the poor outcomes associated with surgical patients who develop COVID-19 in the perioperative period. This article discusses the important principles and concepts for providing important surgical services during the COVID-19 pandemic based on the model of the RMCancerSurgHub which is providing surgical cancer services for a population of approximately 2 million people across London during the pandemic. The model focusses on creating local and regional hub centres which provide urgent treatment for surgical patients in an environment that is relatively protected from the burden of COVID-19 illness. The model extensively utilises the extended multidisciplinary team to allow for a flexible approach with core services delivered in 'clean' sites which can adapt to viral surges. A key requirement is that of a clinical prioritisation process which allows for equity in access within and between specialties ensuring that patients are treated on the basis of greatest need, while at the same time protecting those whose conditions can safely wait from exposure to the virus. Importantly, this model has the ability to scale-up activity and lead units and networks into the recovery phase. The model discussed is also broadly applicable to providing surgical services during any viral pandemic.

An Example of a Stroke Unit Reshaping in the Context of a Regional Hub and Spoke System in the COVID-19 Era.

During the COVID-19 outbreak, the Neurology and Stroke Unit (SU) of the hospital of Varese had to serve as a cerebrovascular hub, meaning that the referral area for the unit doubled. The number of beds in the SU was increased from 4 to 8. We took advantage of the temporary suspension of the out-patient clinic and reshaped our activity to guarantee the 24/7 availability of recombinant tissue Plasminogen Activator (rtPA) intravenous therapy (IVT) in the SU, and to ensure we were able to admit patients to the SU as soon as they completed endovascular treatment (EVT). In 42 days, 46 stroke patients were admitted to our hospital, and 34.7% of them underwent IVT and/or EVT, which means that we treated 0.38 patients per day; in the baseline period from 2016 to 2018, these same figures had been 23.5% and 0.23, respectively. The mean values of the door-to-first CT/MRI and the door-to-groin puncture, but not of the onset-to-door and the door-to-needle periods were slightly but significantly longer than those observed in the baseline period in 276 patients. On an individual basis, only one patient exceeded the door-to-groin puncture time limit computed from the baseline period by about 10 min. None of the patients had a major complication following the procedures. None of the patients was or became SARS-CoV2 positive. In conclusion, we were able to manage the new hub-and-spoke system safely and without significant delays. The reshaping of the SU was made possible by the significant reduction of out-patient activity. The consequences of this reduction are still unknown but eventually, this emergency will suggest ways to reconsider the management and the allocation of health system resources.

Effect of lockdown on the management of ischemic stroke: an Italian experience from a COVID hospital.

OBJECTIVE: To evaluate the impact of the lockdown measures, consequent to the outbreak of COVID-19 pandemic, on the quality of pre-hospital and in-hospital care of patients with acute ischemic stroke. METHODS: This is an observational cohort study. Data sources were the clinical reports of patients admitted during the first month of lockdown and discharged with a confirmed diagnosis of stroke or TIA. Data were collected in the interval ranging from March 11th to April 11th 2020. As controls, we evaluated the clinical reports of patients with stroke or TIA admitted in the same period of 2019. RESULTS: The clinical reports of patients eligible for the study were 52 in 2020 (71.6 ± 12.2 years) and 41 in 2019 (73.7 ± 13.1 years). During the lockdown, we observed a significant increase in onset-to-door time (median = 387 vs 161 min, p = 0.001), a significant reduction of the total number of thrombolysis (7 vs 13, p = 0.033), a non-significant increase of thrombectomy (15 vs 9, p = 0.451), and a significant increase in door-to-groin time (median = 120 vs 93 min, p = 0.048). No relevant difference was observed between 2019 and 2020 in the total number of patients admitted. CONCLUSIONS: Due to the COVID-19 pandemic and lockdown measures, the stroke care pathway changed, involving both pre-hospital and in-hospital performances.

A call to action becomes practice: cardiac and vascular surgery during the COVID-19 pandemic based on the Lombardy emergency guidelines.

OBJECTIVES: During the Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) pandemic, Northern Italy had to completely reorganize its hospital activity. In Lombardy, the hub-and-spoke system was introduced to guarantee emergency and urgent cardiovascular surgery, whereas most hospitals were dedicated to patients with coronavirus disease 2019 (COVID-19). The aim of this study was to analyse the results of the hub-and-spoke organization system. METHODS: Centro Cardiologico Monzino (Monzino) became one of the four hubs for cardiovascular surgery, with a total of eight spokes. SARS-CoV-2 screening became mandatory for all patients. New flow charts were designed to allow separated pathways based on infection status. A reorganization of spaces guaranteed COVID-19-free and COVID-19-dedicated areas. Patients were also classified into groups according to their pathological and clinical status: emergency, urgent and non-deferrable (ND). RESULTS: A total of 70 patients were referred to the Monzino hub-and-spoke network. We performed 41 operations, 28 (68.3%) of which were emergency/urgent and 13 of which were ND. The screening allowed the identification of COVID-19 (three patients, 7.3%) and non-COVID-19 patients (38 patients, 92.7%). The newly designed and shared protocols guaranteed that the cardiac patients would be divided into emergency, urgent and ND groups. The involvement of the telematic management heart team allowed constant updates and clinical discussions. CONCLUSIONS: The hub-and-spoke organization system efficiently safeguards access to heart and vascular surgical services for patients who require ND, urgent and emergency treatment. Further reorganization will be needed at the end of this pandemic when elective cases will again be scheduled, with a daily increase in the number of operations.