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Stan Kent, vice president of pharmacy at NorthShore University HealthSystem, is faced with the challenge of seasonal planning for the influenza vaccine. The supply received by the multilocation healthcare system is unreliable in terms of timing and quantity. As part of improved planning, Kent is contemplating a new contract with NorthShore's major supplier of flu vaccines. The options under consideration include fixing either the date of delivery or the quantity delivered. The main decision involved in either option would be how much vaccine to order. The case also provides details about the seasonal influenza epidemic in the United States, illustrates operational complexities of the U.S. flu vaccine supply chain, and provides a brief description of the various channels used to distribute flu vaccine to end consumers.

The main objective of the case is to illustrate supply chain decision making when there is an unreliable supply (in contrast to the usual case of uncertain demand). A secondary objective is to make students think about appropriate internal (within sector) and external (other sectors) benchmarks to evaluate the performance of a health commodity supply chain.

The purpose of this paper is to use analytical method and optimization tools to suggest time-optimal vaccination program for a basic SIR epidemic model with mass action contact rate when supply is limited.

The Lagrange Multiplier Method and Pontryagin’s Maximum Principle are used to explore optimal control strategy and obtain analytical solution for the control system to minimize the total cost of disease with boundary constraint. The numerical simulation is done with Matlab using the sequential linear programming method to illustrate the impact of parameters.

The result highlighted that the optimal control strategy is Bang-Bang control – to vaccinate with maximal effort until either all of the resources are used up or epidemic is over, and the optimal strategies and total cost of vaccination are usually dependent on whether there is any constraint of resource, however, the optimal strategy is independent on the relative cost of vaccination when the supply is limited.

The research indicate a practical view that the enhancement of daily vaccination rate is critical to make effective initiatives to prevent epidemic from out breaking and reduce the costs of control.

The analysis of the time-optimal application of outbreak control is of clear practical value and the introducing of resource constraint in epidemic control is of realistic sense, these are beneficial for epidemiologists and public health officials.

Grounded in dynamic capability view, this research develops a decision support model, which enables determining consistent and sufficient configurations of resilience strategies to mitigate vaccine operations and distributions (O&D) challenges and thus improve O&D performance (i.e. O&DP).

Through qualitative in-depth interviews, the authors first identified challenges and resilience strategies related to vaccine O&D. Next, using the quality function deployment technique, three quantitative case studies were performed to determine the most important challenges and resilience strategies. Finally, utilising fuzzy set qualitative comparative analysis, the authors determine sufficient conditions of challenges and strategies leading to improve vaccine O&DP.

The findings reveal that strategies alone are not effective instead a combination of strategies and nullification of challenges is needed to enhance vaccine O&DP. Further, the findings revealed that not only the presence of challenges, but also the lack of strategies reduces the vaccine O&DP.

The authors' findings will assist the health service decision-makers for strategizing an effective and efficient vaccination program by selecting the right combination of challenges and resilience strategies.

The authors' study develops a novel decision support model and offers significant learning for the future vaccine O&DP.

The purpose of this paper is to outline the organization and governance of the US vaccine and immunization enterprise. It describes the major components of the US system including the various relationships between major federal government entities, stakeholders, and advisory committees that inform government policymaking at various points in the system.

The authors describe the complex interdependent network of partners that engage in a wide range of activities such as disease surveillance, research, vaccine development, regulatory licensure, practice recommendations, financing, service delivery, communications, and post-licensure monitoring.

The US system of governance is highly participatory and focuses on a transparent and open engagement, with input from a wide range of partners to inform decision-making. This collaborative framework allows many inputs to be heard and helps support the US vaccine and immunization system as it evolves to meet the continued public health needs in the USA through the optimal use of safe and effective vaccines.

This is an invited article on the US vaccine and immunization enterprise. The development and availability of vaccines in the USA has had profound impact on mortality and morbidity and public health (Centers for Disease Control and Prevention, 2011). The success of this enterprise is a result of a blended public and private sector system with partnerships at the federal, state, and local levels of government to optimize the use of safe and effective vaccines. Governance structures have been established to support the interaction and decision-making among the federal and non-federal actors toward the common goal of controlling and preventing infectious diseases.

This study aims to explore the effect of mental health in terms of depression, anxiety, stress, fear of COVID-19 and quality of life (QoL) on the reluctance to be vaccinated in a population of Palestinian adults living in occupied Palestinian territories and Israel.

The authors recruited 1,122 Palestinian adults who consented to participate in the study; 722 were females, and the mean age of the sample was 40.83 (SD 8.8). Depression, anxiety, and stress scale (DASS), World Health Organization QoL-BREF, FCov-19 and reluctance to the vaccine scale were administered; hierarchical regression analysis was applied to test vaccine reluctance as a dependent variable, and mental health, fear of COVID-19 and QoL as independent variables. This study hypothesized influence of such variables on the vaccine choice with differences due to the participants’ geographical locations.

Findings showed an effect of mental health, particularly depression, QoL and fear of COVID on vaccine reluctance, with depression and fear of COVID in the West Bank and Gaza, while in Israel, QoL played a role in vaccination choices.

The future needs to be comprehended more thoroughly to discover mutations and fluctuations over time in vaccine hesitancy and the increasing role of psychological distress, diminished QoL and fear of Covid-19. Online recruitment might not have allowed the study to include the most disadvantaged strips of the Palestinian population.

Human rights perspectives must be considered in public health and public mental health policies to ensure the QoL and well-being for the Palestinian population during and following the pandemic.

The crumbling of the Palestinian health-care system exacerbated the sense of dread among the population and made them less likely to vaccinate. The pandemic-like spread of Covid-19 prompts a plea for the global community to actively advocate for the urgent re-establishment of equity, autonomy and durability of the medical infrastructure in the occupied territories and equal entitlements for the Palestinians in Israel.

The results demonstrated the importance for public mental health to consider the multiple levels implied in the vaccine refusal in Palestine and Israel among the Palestinian population.

This chapter provides an overview of the policies that taxi and ridesourcing regulators in the USA and around the world have adopted in response to the COVID-19 pandemic and the recovery from it, including regulatory actions and measures to protect driver and passenger safety and health, as well as various efforts intended to provide economic relief and assistance. This chapter raises the issue of guidance versus regulatory mandates by transportation officials, and what issues need to be further researched and evaluated for permanent implementation and/or to prepare for any resurgence of this or other pandemics.

Two important measures concerning the management of the workforce were introduced in Italy during the COVID-19–related health emergency: the regularization of irregular migrants working in the domestic and agro-industrial sector, and the introduction of the health-pass requirement to access all workplaces. This article analyses the impacts of such measures on a specific category of workers: migrant farmworkers, notably racially subaltern, marginalized and exploited. Implicit ideological and normative assumptions underlying Italian policies to address the health emergency and related labor shortages raise important questions about the meaning of “life” and whose lives matter in emergency contexts, which this article aims to address.

This paper is based on the case study of the informal settlements for seasonal migrant workers in the agro-industrial district of Capitanata (Apulia).

Based on the aforementioned case study, this article shows that Italian measurs concerning the management of the workforce during the COVID-19–related health emergency resulted in various forms of blackmail to which migrant farmworkers were especially subjected, and increased their exploitability and “expulsability” from the labor market. In particular, it argues that the aforementioned measures resulted in significant shifts in the relationship between migrant farmworkers and the state, on the one hand, and between migrant farmworkers and employers, on the other.

Rather than promoting migrant farmworkers' social, economic and health rights, this double shift turned into increased oppression, exploitability and dependency on the employer.

Contemporary arguments around efficient public management (PM) envisage a limited role of the state for efficiency, effectiveness and austerity. On the contrary, the PM of the Covid-19 pandemic shows the significant role and depth of administrative state in multi-faceted ways. In this context, the purpose of this article is to examine the administrative role of the Indian state and the extent of its “stateness” in the PM of the novel coronavirus pandemic.

This article is a bifocal study of both the national and a single sub-national case. Following mixed qualitative methods, this article draws on government documents, interviews and recent media reports to examine the reemergence of a strong administrative state in India in the context of PM of the pandemic. This methodology allows us to go deep into the cases and provide a robust understanding of the underlying processes within the state that throw open some compelling insights on the PM of the pandemic.

This article shows the reemergence of a strong administrative state in multiple ways. It demonstrates that state’s administrative capacity is an outcome of both ideas within the state and its rationality that shapes policy strategies and planning. Further, a combination of learning, puzzling and powering plays a critical role in pandemic management. Exploring pandemic-induced state capacity in India sheds light on the administrative state’s emergence, extent and function in an emerging developing country setting.

One of the major challenges of this study is the evolving nature of the pandemic. In this light, the study limits its focus to the earliest stage of the pandemic. Revisiting this paper in future would provide a more comprehensive picture. Furthermore, the study is limited to the national and a single sub-national case. This research will gain from including more sub-national and cross-country comparisons to test some of the conjectures presented in this paper.

This article shows that the state as a conceptual variable needs to be taken seriously to understand and explain the PM strategy, especially in times of crisis. It also persuades us to better understand the political power of “ideas” within the state to explain policy outcomes and evolving PM strategies.

This article seeks to push the frontiers of research on state capacity and PM by exploring how social learning and puzzling come together to consolidate policy paradigms. Through the lens of PM of the current Covid-19 pandemic by the Indian state, this article reflects on the reemergence of the administrative state. It examines the long-term ramifications of such a revival for both practice and theory of state capacity and PM in a large, diverse democracy, such as India.