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Cape Verdean governments have intensified the investment on the National Reproductive Health Program, aiming to provide universal and qualified services, especially to the youngest people. Nevertheless, data suggest that some health challenges remain in this group (e.g., high rates of early/unplanned pregnancies, illegal abortions, sexual risk behaviors). In this paper, we present a protocol of a community-based social prescribing and digital intervention to promote wellbeing and quality of life across the life course of young Cape Verdeans, with a specific focus on Sexual and Reproductive Health (SRH) related behaviors. The intervention program, to be developed in three years, will follow an Intervention Mapping approach, namely regarding needs assessment and study's protocol. The program's implementation and evaluation will occur simultaneously. The main expected result is the development of a sustainable training program implemented in coproduction with Cape Verdeans from Mindelo (in São Vicente island), with replicable potential in other Cape Verdean regions. The intervention will contribute to SRH-related literacy through the digital health literacy materials and to quality of life across the young's life course. ; info:eu-repo/semantics/publishedVersion

Objectives: Review, compare and critically assess digital technology responses to the COVID-19 pandemic around the world. The specific point of interest in this research is on predictive, preventive and personalized interoperable digital healthcare solutions. This point is supported by failures from the past, where the separate design of digital health solutions has led to lack of interoperability. Hence, this review paper investigates the integration of predictive, preventive and personalized interoperable digital healthcare systems. The second point of interest is the use of new mass surveillance technologies to feed personal data from health professionals to governments, without any comprehensive studies that determine if such new technologies and data policies would address the pandemic crisis. Method: This is a review paper. Two approaches were used: A comprehensive bibliographic review with R statistical methods of the COVID-19 pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches in different regions, using medical literature, academic literature, news articles and other reliable data sources. Results: Most countries' digital responses involve big data analytics, integration of national health insurance databases, tracing travel history from individual's location databases, code scanning and individual's online reporting. Public responses of mistrust about privacy data misuse differ across countries, depending on the chosen public communication strategy. We propose predictive, preventive and personalized solutions for pandemic management, based on social machines and connected devices. Solutions: The proposed predictive, preventive and personalized solutions are based on the integration of IoT data, wearable device data, mobile apps data and individual data inputs from registered users, operating as a social machine with strong security and privacy protocols. We present solutions that would enable ...

The increasing number of international migrants (ranging from 153 million in 1990 to ∼272 million in 2019) brought to attention the wide variation of national contexts concerning the policy measures to protect migrants' rights and ensuring their equal access to basic and essential services, namely in health. Sexual and Reproductive Health (SRH) is a key component to the overall health and quality of life and is impacted by power inequities inherent to society's institutions, environment, economics, and culture. In Portugal, guidelines for intervention in SRH are insufficient, a gap that is more pronounced with migrant populations due to the absence of culturally sensitive indicators to assess and monitor SRH. The aim of this work was 2-fold: to identify good practices in the SRH field, with a particular focus, whenever possible, on migrant populations, and to identify relevant and inclusive indicators to monitor SRH in Portugal. A Delphi panel (via online survey) with 66 experts (researchers, teachers, and health professionals) and 16 stakeholders (non-governmental organizations, civil society, and governmental organizations) was implemented in two rounds. Panelists were asked to state their level of agreement (5-point Likert-type scale) regarding four different SRH areas: Sexual Health, Reproductive Health, Social-Structural Factors, and Good Practices. Items were based on literature review and a World Café with 15 experts and stakeholders. Participation rate was 68% and response rate was 97% on the first round. From the initial list of 142 items, a total of 118 (83%) items were approved by consensus. Findings may provide extended opportunities for the healthcare system to engage in better informed decisions and more inclusive and integrative strategies regarding SRH, contributing to build political measures toward sexual and reproductive justice. ; info:eu-repo/semantics/publishedVersion

Multiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

Concept Paper ; This article belongs to the Section Health and Sustainability ; Environmental health is at the intersection between health and the environment. However, it still has a recent (and narrow) history as a scientific area, mainly addressing human biomonitoring and toxicological issues. Only recently additional environmental 'layers', other than the traditional chemical, biological and physical environmental determinants, have been considered. This broader perspective of environmental health also encompasses digital, psychosocial, political, socioeconomic and cultural determinants, all of them relevant when considering human health from a planetary health paradigm. This reflects the progressive adoption of a systemic perspective regarding the impact of gains for human health and well-being towards a sustainable environment. It also implies a multi-method and participatory approach to understand the intertwined relationship between environmental changes and human health. In this paper, the broader approach to environmental health is discussed in order to 'set the stage' for introducing the Institute of Environmental Health (ISAMB)oftheLisbonSchoolofMedicine,Portugal. Eachoftheresearchgroupsandlabsthatcompose ISAMB are presented, as well as their main lines of research. Present and planned contributions of ISAMB to advance knowledge on environmental health and for promoting human health gains in an environmentally sustainable way are also discussed. ; This research was funded by Fundação para a Ciência e a Tecnologia, grant number UIDB/04295/2020 and UIDP/04295/2020. ; info:eu-repo/semantics/publishedVersion

Environmental health is at the intersection between health and the environment. However, it still has a recent (and narrow) history as a scientific area, mainly addressing human biomonitoring and toxicological issues. Only recently additional environmental 'layers', other than the traditional chemical, biological and physical environmental determinants, have been considered. This broader perspective of environmental health also encompasses digital, psychosocial, political, socioeconomic and cultural determinants, all of them relevant when considering human health from a planetary health paradigm. This reflects the progressive adoption of a systemic perspective regarding the impact of gains for human health and well-being towards a sustainable environment. It also implies a multi-method and participatory approach to understand the intertwined relationship between environmental changes and human health. In this paper, the broader approach to environmental health is discussed in order to 'set the stage' for introducing the Institute of Environmental Health (ISAMB) of the Lisbon School of Medicine, Portugal. Each of the research groups and labs that compose ISAMB are presented, as well as their main lines of research. Present and planned contributions of ISAMB to advance knowledge on environmental health and for promoting human health gains in an environmentally sustainable way are also discussed. ; info:eu-repo/semantics/publishedVersion

Alpha particle energy distributions in the 6He+120Sn collision have been measured at 7 bombarding energies above the Coulomb barrier. A phenomenological analysis of the centroids of the experimental distributions was performed and compared with the expected alpha-particle energies from breakup and neutron transfer reactions. Q-optimum conditions were determined using the Brinks formula for the di-neutron transfer reaction. A comparison of the measured alpha-particle production cross-sections with Continuum Discretized Coupled Channels (CDCC) calculations for breakup is presented. ; Fundacao de Amparo `a Pesquisa no Estado de Sao Paulo 2013/22100-7, 2014/19666-1 ; Conselho Nacional de Desenvolvimento Cientıfico e Tecnologico 308935/2018-7 ; Ministerio de Economía y Competitividad FIS2017-88410-P ; European Union 654002

Abstract The cytokines controlling the development of human interleukin (IL) 17--producing T helper cells in vitro have been difficult to identify. We addressed the question of the development of human IL-17--producing T helper cells in vivo by quantifying the production and secretion of IL-17 by fresh T cells ex vivo, and by T cell blasts expanded in vitro from patients with particular genetic traits affecting transforming growth factor (TGF) beta, IL-1, IL-6, or IL-23 responses. Activating mutations in TGFB1, TGFBR1, and TGFBR2 (Camurati-Engelmann disease and Marfan-like syndromes) and loss-of-function mutations in IRAK4 and MYD88 (Mendelian predisposition to pyogenic bacterial infections) had no detectable impact. In contrast, dominant-negative mutations in STAT3 (autosomal-dominant hyperimmunoglobulin E syndrome) and, to a lesser extent, null mutations in IL12B and IL12RB1 (Mendelian susceptibility to mycobacterial diseases) impaired the development of IL-17--producing T cells. These data suggest that IL-12Rbeta1- and STAT-3--dependent signals play a key role in the differentiation and/or expansion of human IL-17-producing T cell populations in vivo. ; The Laboratory of Human Genetics of Infectious Diseases is supported by the Agence Nationale de la Recherche, the Programme Hospitalier de Recherche Clinique, the European Union (grant LHSP-CT-2005-018736), the BNP Paribas Foundation, the March of Dimes, the Dana Foundation, and the Candi'Oser Association. L. de Beaucoudrey is supported by the Fondation pour la Recherche Medicale as part of the PhD program of Pierre et Marie Curie University. J.L. Casanova is an International Scholar of the Howard Hughes Medical Institute.