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The purpose of this paper is to examine the relevance of Cuba’s medical system, its health tourism and related diplomacy in the context of the recent COVID-19 pandemic for the global response to disease outbreaks. In addition to Cuba being a destination for leisure tourists in the Caribbean, the renowned Cuban medical system attracts thousands of health tourists seeking low-cost but high-quality treatment. This paper demonstrates how Cuba’s unique response to the pandemic, which included sending thousands of medical staff abroad, can inform structural and global issues and contribute to a more sustainable future.

The research in this study is primarily drawn from published academic and media sources that address Cuba’s medical system, its health tourism and the government’s response to the recent pandemic. The author, a political scientist and an author of many publications on Cuba, and the PI of a study focused on Cuban tourism, will also draw on her expertise.

This paper addresses the Cuban Government’s ongoing response to the COVID-19 pandemic and places this response in the context of Cuba’s medical system, its health tourism and related diplomacy. It reveals key lessons from Cuba’s response for other tourist destination states and, more broadly, for the worldwide response to global outbreaks and the management of health systems. The findings will further research in diplomacy and tourism as well as inform policy and practice.

This paper explores an ongoing topic and thus further research will be required following the pandemic.

This research note offers important implications for practice including providing accurate, research-based information that challenges misinformation about Cuba’s health system, its medical diplomacy program, health tourism and its response to COVID-19. It offers valuable lessons for public health authorities including the importance of preventative health measures, community medicine and the benefits of working globally to combat outbreaks through the sharing of medical staff and resources.

This research note reveals the health, political and social implications of Cuba’s response in this time of crisis. It shows the benefits of a robust but low-cost community-based medicine program, medical diplomacy and how a state’s response during crisis can moderate the global inequities and injustices such as unequal access to care that often accompany disease outbreaks such as COVID-19.

This research note is an early analysis of a response by an important tourist destination country to the pandemic. The author anticipates that the information provided to the international community via this open access journal will offer practical implications for the ongoing global efforts to manage this crisis and contribute to the research on tourism, diplomacy, justice and health policy.

Background: Evidence from a range of major public health incidents shows that neighbour-based action can have a critical role in emergency response, assistance and recovery. However, there is little research to date on neighbour-based action during the 2020 coronavirus pandemic. This article reports on a survey of people engaged in supporting their neighbours in weeks three and four of the UK COVID-19 lockdown.

Methods: Members of area-based and community of interest COVID-19 support groups in the Bristol conurbation were invited to complete an online survey. Of 1,255 people who clicked on the survey link, 862 responded; of these, 539 responses were eligible for analysis.

Results: Respondents reported providing a wide range of support that went beyond health information, food and medical prescription assistance, to include raising morale through humour, creativity and acts of kindness and solidarity. A substantial proportion felt that they had become more involved in neighbourhood life following the lockdown and had an interest in becoming more involved in future. Neighbour support spanned all adult age groups, including older people categorised as being at-risk to the virus. With respect to most measures, there were no differences in the characteristics of support between respondents in areas of higher and lower deprivation. However, respondents from more deprived areas were more likely to state that they were involved in supporting certain vulnerable groups.

Conclusions: As with previous research on major social upheavals, our findings suggest that responses to the viral pandemic and associated social restrictions may increase existing social and health inequalities, and further research should explore this issue in more depth.

The neighbourhoods surrounding social housing are often characterised by poverty, high rates of unemployment, community violence and other social stress factors that are often linked with adverse childhood experiences, including diverse forms of family, community and institutional violence against children. Based on the sociology of childhood, which considers children as active subjects with rights and promotes a critical understanding of their participation in matters that concern them, this chapter reviews participatory research with children, highlighting the importance of hearing their voices, to sustain their key role in building knowledge about them and the contexts in which they live. In this case, children participated in research to provide a deeper understanding of their needs in their neighbourhood, the role of their families and communities and what they needed to improve the quality of their lives.

The world over is becoming urbanized, and people are migrating to cities in large numbers in search of opportunities. The increased urbanization has posed challenges such as congestion, rising crime, and growing urban poverty. The governments respond by providing amenities such as schools, hospitals, and housing to meet to increase in demand for these facilities. However, there is a need for the provision of facilities that meets the expectations of the people, particularly on the proximity of amenities and bundles of utility-bearing housing characteristics. In an attempt to address the challenge mentioned, the study estimated the hedonic characteristics influencing the willingness to accept and willingness to pay for housing facilities in the Eastern Cape Province, South Africa. Using a multiple linear regression model and artificial neural network, the study found out that properties with a bathroom, garage and large floor size have a higher value compared to properties without these facilities.When making decisions to acquire a property, buyers consider the availability of discounts and the prevailing property price. Overall, willingness to pay and accept decisions are mainly determined by location and the price at which homogeneous neighborhood properties were sold. Therefore, the study recommends that urban town planners and other housing authorities prioritize the construction of properties with larger floor areas, parking bays, and bathrooms using a cost-effective mechanism that makes the properties affordable to residents.

This paper aims to explore the social impact of the COVID-19 pandemic, focusing on issues facing older people living in urban areas characterised by multiple deprivation.

The paper first reviews the role of place and neighbourhood in later life; second, it examines the relationship between neighbourhood deprivation and the impact of COVID-19; and, third, it outlines the basis for an “age-friendly” recovery strategy.

The paper argues that COVID-19 is having a disproportionate impact on low-income communities, which have already been affected by cuts to public services, the loss of social infrastructure and pressures on the voluntary sector. It highlights the need for community-based interventions to be developed as an essential part of future policies designed to tackle the effects of COVID-19.

The paper contributes to debates about developing COVID-19 recovery strategies in the context of growing inequalities affecting urban neighbourhoods.

Roughly half a million persons in the USA are homeless on any given night and over a third of those individuals have significant alcohol/other drug (AOD) problems. Many are chronically homeless and in need of assistance for a variety of problems. However, the literature on housing services for this population has paid limited attention to comparative analyses contrasting different approaches. The paper aims to discuss these issues.

The authors examined the literature on housing models for homeless persons with AOD problems and critically analyzed how service settings and operations aligned with service goals.

The authors found two predominant housing models that reflect different service goals: sober living houses (SLHs) and housing first (HF). SLHs are communally based living arrangements that draw on the principles of Alcoholics Anonymous. They emphasize a living environment that promotes abstinence and peer support for recovery. HF is based on the premise that many homeless persons with substance abuse problems will reject abstinence as a goal. Therefore, the HF focus is providing subsidized or free housing and optional professional services for substance abuse, psychiatric disorders, and other problems.

If homeless service providers are to develop comprehensive systems for homeless persons with AOD problems, they need to consider important contrasts in housing models, including definitions of “recovery,” roles of peer support, facility management, roles for professional service, and the architectural designs that support the mission of each type of housing.

This paper is the first to consider distinct consumer choices within homeless service systems and provide recommendations to improve each based upon architecture and community planning principles.

Progress toward health equity is necessary to reduce health disparities, and health literacy is key to achieving this goal. Because libraries provide access to knowledge and insights about their communities, they are effective partners in advancing health equity and implementing programs to reduce health disparities. A literature review on library programs and activities that focus on promoting health equity was conducted.

A literature review on library programs and activities concerning health equity and social determinants of health was conducted. Relevant literature was identified from searches of databases, library publications and grey literature.

The authors found 224 eligible sources and many types of libraries advancing health equity. Libraries frame their role in advancing health equity through external programs in three ways: (1) providing access to high-quality health information, (2) delivering health literacy training and resources and (3) connecting their communities with community health services. Libraries also advance health equity by focusing on internal library operations and providing research services focused on cultural humility and competence as they apply to health care.

This literature review will help the National Library of Medicine (NLM) develop a strategy to support libraries advancing health equity through information made available by programs and activities of NLM and the Network of the National Library of Medicine.

The purpose of this paper is to analyze the evidence-based research strategy (EBRS) used to evaluate eight projects that applied the neighborhood approach for disaster risk reduction (NA-DRR) in informal urban settlements in Colombia, Guatemala, Haiti, Honduras, Jamaica and Peru, between 2012 and 2017.

The study covers the first five of the seven EBRS stages: first, identify relevant interventions; second, prepare evaluation questions; third, select evidence sources and implement a search strategy; fourth, appraise evidences and identify gaps; fifth, create an evaluation design to include an extensive literature review, followed by a mixed research method with surveys, focus groups and interviews; disaster risk modeling; georeferencing analysis; and engineering inspections. The last two stages: sixth, apply the evidence, and seventh, evaluate the evidence application, will be addressed in a near future.

Even though the reference to “evidence” is frequent in the DRR field, it is largely based on descriptive processes, anecdotal references, best practices, lessons learned and case studies, and particularly deficient on the subject of informal and precariousness settlements. The evaluation allowed a deep and broad analysis of NA-DRR in urban informal settlements, comparing it with other DRR strategies implemented by different stakeholders in fragile urban settings, assessing the effectiveness and sustainability of the various DRR interventions.

The abundant data, information and knowledge generated will serve as foundation for forthcoming thematic peer-reviewed publications informing evidence-based DRR research, policy and practice, with emphasis on informal and precariousness settlements in particular.

This work presents a system based on an ensemble of Convolutional Neural Networks (CNNs) and descriptors for bioimage classification that has been validated on different datasets of color images. The proposed system represents a very simple yet effective way of boosting the performance of trained CNNs by composing multiple CNNs into an ensemble and combining scores by sum rule. Several types of ensembles are considered, with different CNN topologies along with different learning parameter sets. The proposed system not only exhibits strong discriminative power but also generalizes well over multiple datasets thanks to the combination of multiple descriptors based on different feature types, both learned and handcrafted. Separate classifiers are trained for each descriptor, and the entire set of classifiers is combined by sum rule. Results show that the proposed system obtains state-of-the-art performance across four different bioimage and medical datasets. The MATLAB code of the descriptors will be available at https://github.com/LorisNanni.

This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.