Health Evidence Network synthesis report 53
In this version of the compendium, each guidance is coded using the International Classification of Health Interventions (ICHI).
The compendium provides a systematic compilation of published guidance from WHO and other UN organizations on health and env
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ironment. Guidance on policies and actions as well as awareness raising and capacity building interventions is presented for all major areas of health and environment. Guidance referring to priority settings for action such as cities and other urban settlements, housing, workplaces and health care facilities is also listed. For greater practical relevance, each guidance is classified according to principally involved sectors, level of implementation and instruments for implementation.
The compilation of guidance for each area of health and environment or priority setting for action is accompanied, as available, by information on main sources, exposure assessment and existing guideline values. Important tools and further resources are presented alongside.
This compilation of published guidance on health and environment highlights that a large number of actions across main topics of health and environment, concerning various sectors, and applicable to various levels are available to improve health and reduce environmental risks. This compendium is intended to serve as a repository and easy-to-use and useful resource for decision and policy makers in health and environment at various levels.
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Almost 25% of deaths worldwide could be prevented if the actions in the compendium were fully implemented
This compendium provides a systematic compilation of published guidance from WHO and other UN organizations on health and environment. Guidanc
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e on policies and actions as well as awareness raising and capacity building interventions is presented for all major areas of health and environment. Guidance referring to priority settings for action such as cities and other urban settlements, housing, workplaces and health care facilities is also listed.
For greater practical relevance, each guidance is classified according to principally involved sectors, level of implementation and instruments for implementation.
The compilation of guidance for each area of health and environment or priority setting for action is accompanied, as available, by information on main sources, exposure assessment and existing guideline values. Important tools and further resources are presented alongside.
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The second ECDC/EFSA/EMA joint report on the integrated analysis of antimicrobial consumption (AMC) and antimicrobial resistance (AMR) in bacteria from humans and food-producing animals addressed data obtained by the Agencies’ EU-wide surveillance networks for 2013–2015. AMC in both sectors, exp
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ressed in mg/kg of estimated biomass, were compared at country and European level. Substantial variations between countries were observed in both sectors. Estimated data on AMC for pigs and poultry were used for the first time. Univariate and multivariate analyses were applied to study associations between AMC and AMR. In 2014, the average AMC was higher in animals (152 mg/kg) than in humans (124 mg/kg), but the opposite applied to the median AMC (67 and 118 mg/kg, respectively). In 18 of 28 countries, AMC was lower in animals than in humans. Univariate analysis showed statistically-significant (p < 0.05) associations between AMC and AMR for fluoroquinolones and Escherichia coli in both sectors, for 3rd- and 4th-generation cephalosporins and E. coli in humans, and tetracyclines and polymyxins and E. coli in animals. In humans, there was a statistically-significant association between AMC and AMR for carbapenems and polymyxins in Klebsiella pneumoniae. Consumption of macrolides in animals was significantly associated with macrolide resistance in Campylobacter coli in animals and humans. Multivariate analyses provided a unique approach to assess the contributions of AMC in humans and animals and AMR in bacteria from animals to AMR in bacteria from humans. Multivariate analyses demonstrated that 3rd- and 4th-generation cephalosporin and fluoroquinolone resistance in E. coli from humans was associated with corresponding AMC in humans, whereas resistance to fluoroquinolones in Salmonella spp. and Campylobacter spp. from humans was related to consumption of fluoroquinolones in animals. These results suggest that from a ‘One-health’ perspective, there is potential in both sectors to further develop prudent use of antimicrobials and thereby reduce AMR.
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The main objective of this guidance is to provide scientific advice on public health principles and considerations for infection and prevention control of COVID-19 in migrant and refugee reception and detention centres in the European Union and
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European Economic Area (EU/EEA) and the United Kingdom (UK).
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Unaccompanied and separated children leave their countries of origin for a variety of reasons. They may
be fleeing from persecution, armed conflict, exploitation or poverty. They may have been sent by members
of their family or decided to leave on their own – be it to ensure their survival, or t
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o obtain an education or
employment. They may have been separated from their family during flight or may be trying to join parents
or other family members. Or they may have become victims of trafficking. Often it is a combination of
factors.
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Urbanization, land use, global trade and industrialization have led to profound and negative impacts on nature, biodiversity and ecosystems across the world. The ongoing depletion of natural resources not only afects environmental conditions but also has an enormous impact on the well-being and secu
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rity of societies.
This report provides an overview of the impacts of the natural environment on human health. It presents the ways nature and ecosystems can support and protect health and well-being, and describes how nature degradation and loss of biodiversity can threaten human health.
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Biodiversity and Health in the Face of Climate Change pp 47–66
This chapter reviews the emerging importance of pollen allergies in relation to ongoing climate change. Allergic diseases have been increasing in prevalence over the last decades, partly as the result of the impact of climate change.
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Increased sensitisation rates and more severe symptoms have been the partial outcome of: increased pollen production of wind-pollinated plants resulting in long-term increased abundance of pollen in the air we breathe; earlier shifts of airborne pollen seasons making occurrence of allergic symptoms harder to predict and deal with efficiently; increased allergenicity of pollen causing more severe health effects in allergic individuals; introduction of new, invasive allergenic plant species causing new sensitisations; environment-environment interactions, such as plants and hosted microorganisms, i.e. fungi and bacteria, which comprise a complex and dynamic system, with additive, presently unforeseeable influences on human health; environment-human interactions, as the consequence of a combination of environmental factors, like air pollution, global warming, urbanisation and microclimatic variability, which create a multi-resolution spatiotemporal system that requires new processing technologies and huge data inflow in order to be thoroughly investigated. We suggest that novel, real-time, personalised pollen information services, like mobile-app risk alerts, must be developed to provide the optimum first line of allergy management.
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The combined effects from ambient (outdoor) air pollution and indoor (household, in particular) air pollution cause approximately 7 million premature deaths every year, largely as a result of increased mortality from stroke, IHD, COPD, lung cancer and acute respiratory infections (1). Air pollution
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can occur in both the outdoor and indoor environments. Cook-stoves in homes, motor vehicles, industrial facilities and forest fires are common sources of air pollution. Air pollutants with the strongest evidence for adverse health outcomes include particulate matter (PM; both PM 2.5 (i.e. particles with an aerodynamic diameter
equal to or less than 2.5 μm) and PM10 (i.e. particles with an aerodynamic diameter equal to or less than 10 μm), ozone (O 3), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ) and carbon monoxide (CO). Air pollution is however composed of many more pollutants (1).
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This document aims to help EU/EEA public health authorities in the tracing and management of persons, including healthcare workers, who had contact with COVID-19 cases. It outlines the key steps of contact tracing, including contact identification,
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listing and follow-up, in the context of the COVID-19 response.
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Timely detection of novel coronavirus (2019-nCoV) infection cases is crucial to interrupt the spread of this virus. We assessed the required expertise and capacity for molecular detection of 2019-nCoV in specialised laboratories in 30 European Union
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/European Economic Area (EU/EEA) countries. Thirty-eight laboratories in 24 EU/EEA countries had diagnostic tests available by 29 January 2020. A coverage of all EU/EEA countries was expected by mid-February. Availability of primers/probes, positive controls and personnel were main implementation barriers.
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The biosphere underlies the whole sustainable development concept, as the layer on
which society and the economy rely. Nature and biodiversity fuel the natural cycles
and life-support systems of the planet, on which humanity ultimately depends.
The threat posed by Zika virus infection highlights the need to reinforce preparedness arrangements for mosquito-borne diseases in EU/EEA countries, especially for pathogens transmitted by Aedes aegypti and Aedes albopictus.
The aim of this documen
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t is to highlight measures that can effectively reduce the risk of importation and local transmission of pathogens transmitted by Ae. aegypti and Ae. albopictus. The main diseases of concern in this context are Zika, dengue, chikungunya and yellow fever.
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Climate change, increasing population densities, and intensified globalisation in trade, travel and migration are among the most important factors shaping the 21st century. Each impacts upon population health and the risk of infectious disease, particularly those originating at the human-animal-envi
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ronmental interface. The recognition that many risk drivers of infectious disease fall outside of the typical domain of the health sector creates the challenge of identifying and pursuing priorities for cross-sectoral action aimed at strengthening global health security. In response, the One Health concept has emerged, as have related initiatives addressing Planetary Health and Biodiversity and Human Health. From a public health perspective and operationally speaking, the One Health approach offers great potential, emphasising as it does cooperation and coordination between multiple sectors. Yet despite having been a focal point for discussion for over a decade, numerous challenges facing the implementation of One Health preparedness strategies remain. While some are technical, related to the requirement for innovative early warning systems or new vaccines, for example, others are institutional and cultural in nature, given the transdisciplinary nature of the topic. There have thus been calls to address One Health from multiple perspectives, from ecology to the social sciences. In order to further explore this issue and to identify priority areas for action for strengthening One Health preparedness in Europe, ECDC convened an expert consultation on 11–12 December 2017.
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The ECDC, the EFSA and the EMA have for the first time jointly explored associations between consumption of antimicrobials in humans and food-producing animals, and antimicrobial resistance in bacteria from humans and food-producing animals, using 2011 and 2012 data currently available from their re
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levant five EU monitoring networks. Combined data on antimicrobial consumption and corresponding resistance in animals and humans for EU MSs and reporting countries were analysed using logistic regression models for selected combinations of bacteria and antimicrobials. A summary indicator of the proportion of resistant bacteria in the main food-producing animal species was calculated for the analysis, as consumption data in food-producing animals were not available at the species level
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