Suchergebnisse

International audience ; Zoonoses – infectious diseases communicable between animals and humans –, drug resistance and environmental pollution are now causing serious health problems worldwide. These problems are closely tied to global environmental and socio-economic changes and to the transformation of production systems at the territorial level. In this context, health management is becoming a complex issue: it needs to be addressed in close collaboration with the public veterinary health, agriculture and environment sectors. New uncertainties are emerging, and nonconventional actors are entering the scene alongside the decision-makers traditionally responsible for public health. The participatory modelling and simulation approach incorporates the diverse knowledge of all of these actors. It reveals uncertainties and teaches participants how to manage them, to make decisions and to share responsibility. It constitutes a practical solution to ensure health issues are better integrated into territorial planning policies. ; Les zoonoses — maladies infectieuses transmises entre les animaux et l'homme —, les résistances aux médicaments et les pollutions environnementales posent aujourd'hui de graves problèmes de santé publique à l'échelle mondiale. Ces problèmes de santé sont fortement liés aux changements environnementaux et socioéconomiques globaux et aux transformations des systèmes de production à l'échelle des territoires. Dans ce contexte, la gestion de la santé devient complexe : elle doit être abordée en lien étroit avec la santé publique vétérinaire, l'agriculture et l'environnement. De nouvelles incertitudes apparaissent, et des acteurs non conventionnels entrent aux côtés des décideurs classiquement chargés de la santé publique. La démarche de modélisation et de simulation participative intègre les connaissances hétérogènes de tous ces acteurs. Elle révèle les incertitudes et permet ensuite de s'entraîner à les gérer, à prendre des décisions et à partager les responsabilités. Elle constitue une solution pragmatique pour mieux intégrer la santé dans les politiques d'aménagement du territoire.

Zoonoses–infectious diseases communicable between animals and humans–, drug resistance and environmental pollution are now causing serious health problems worldwide. These problems are closely tied to global environmental and socio-economic changes and to the transformation of production systems at the territorial level. In this context, health management is becoming a complex issue: it needs to be addressed in close collaboration with the public veterinary health, agriculture and environment sectors. New uncertainties are emerging, and non- conventional actors are entering the scene along-side the decision-makers traditionally responsible for public health. The participatory modelling and simulation approach incorporates the diverse knowledge of all of these actors. It reveals uncertainties and teaches participants how to manage them, to make decisions and to share responsibility. It constitutes a practical solution to ensure health issues are better integrated into territorial planning policies.

International audience ; Zoonoses – infectious diseases communicable between animals and humans –, drug resistance and environmental pollution are now causing serious health problems worldwide. These problems are closely tied to global environmental and socio-economic changes and to the transformation of production systems at the territorial level. In this context, health management is becoming a complex issue: it needs to be addressed in close collaboration with the public veterinary health, agriculture and environment sectors. New uncertainties are emerging, and nonconventional actors are entering the scene alongside the decision-makers traditionally responsible for public health. The participatory modelling and simulation approach incorporates the diverse knowledge of all of these actors. It reveals uncertainties and teaches participants how to manage them, to make decisions and to share responsibility. It constitutes a practical solution to ensure health issues are better integrated into territorial planning policies. ; Les zoonoses — maladies infectieuses transmises entre les animaux et l'homme —, les résistances aux médicaments et les pollutions environnementales posent aujourd'hui de graves problèmes de santé publique à l'échelle mondiale. Ces problèmes de santé sont fortement liés aux changements environnementaux et socioéconomiques globaux et aux transformations des systèmes de production à l'échelle des territoires. Dans ce contexte, la gestion de la santé devient complexe : elle doit être abordée en lien étroit avec la santé publique vétérinaire, l'agriculture et l'environnement. De nouvelles incertitudes apparaissent, et des acteurs non conventionnels entrent aux côtés des décideurs classiquement chargés de la santé publique. La démarche de modélisation et de simulation participative intègre les connaissances hétérogènes de tous ces acteurs. Elle révèle les incertitudes et permet ensuite de s'entraîner à les gérer, à prendre des décisions et à partager les responsabilités. Elle constitue une solution pragmatique pour mieux intégrer la santé dans les politiques d'aménagement du territoire.

Les zoonoses — maladies infectieuses transmises entre les animaux et l'homme —, les résistances aux médicaments et les pollutions environnementales posent aujourd'hui de graves problèmes de santé publique à l'échelle mondiale. Ces problèmes de santé sont fortement liés aux changements environnementaux et socioéconomiques globaux et aux transformations des systèmes de production à l'échelle des territoires. Dans ce contexte, la gestion de la santé devient complexe : elle doit être abordée en lien étroit avec la santé publique vétérinaire, l'agriculture et l'environnement. De nouvelles incertitudes apparaissent, et des acteurs non conventionnels entrent aux côtés des décideurs classiquement chargés de la santé publique. La démarche de modélisation et de simulation participative intègre les connaissances hétérogènes de tous ces acteurs. Elle révèle les incertitudes et permet ensuite de s'entraîner à les gérer, à prendre des décisions et à partager les responsabilités. Elle constitue une solution pragmatique pour mieux intégrer la santé dans les politiques d'aménagement du territoire.

Global changes in Southeast Asia (such as increasing urbanization and population densities, intensification of trade and farming systems, drastic land use changes and biodiversity erosion) are affecting the drivers of health risks emergence. Therefore, building bridges among Health, Environment and Agriculture sectors is one of the main challenges that Southeast Asian countries have to face, in the framework of a ""One health/Ecohealth"" approach. It calls for a better integration between animal health and public health, social and environmental sciences, and agriculture (including livestock production) to address complex and emerging health issues. Managing these risks at the human/animal/environment interface aims at increasing resilience of the socioecosystems. Such an integrative approach implies methodological guidelines for cross-sectorial and interdisciplinary collaborations involving stakeholders from different horizons. Innovative strategies are needed to link policies and collective actions an enable knowledge sharing approaches at animal/human/environment interface. We have iteratively developed such an integrative approach to address health impacts of waste (notably from pig farms) and water management at provincial and municipality levels in Thailand. Our case study, implemented in the framework of ComAcross EU project, was involving communities, local and provincial authorities as well as academics (from animal health, agronomy, ecology, modeling and social sciences). We will show how the use of participatory approaches (participatory epidemiology and companion modeling) for diseases prioritization and problems identification allowed us to address health issues in link with livelihoods (agriculture and livestock farming), involving local and national institutions. Our approach and methodology contributed to improve coordination between actors and sectors and could be suitable to address other health issues occurring at animal/human/environment interface.

One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

International audience ; One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

International audience ; One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

International audience ; One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

These data belong to the Royal Government of Cambodia, as part of the Dengue National Program managed by the Ministry of Health's Center for Malaria Control (vectorborne diseases). A copy of the dataset can be accessible upon justified request if approved by the two following stakeholders: Dr. Didier FONTENILLE, Director, Institut Pasteur du Cambodge (dfontenille@pasteur-kh.org), and Dr. HUY Rekol, Director, National Malaria Center, Ministry of Health (director@cnm.gov.kh) ; International audience ; Dengue is a national priority disease in Cambodia. The Cambodian National Dengue Surveillance System is based on passive surveillance of dengue-like inpatients reported by public hospitals and on a sentinel, pediatric hospital-based active surveillance system. This system works well to assess trends but the sensitivity of the early warning and time-lag to usefully inform hospitals can be improved. During The ECOnomic development, ECOsystem MOdifications, and emerging infectious diseases Risk Evaluation (ECOMORE) proj-ect's knowledge translation platforms, Cambodian hospital staff requested an early warning tool to prepare for major outbreaks. Our objective was therefore to find adapted tools to improve the early warning system and preparedness. Dengue data was provided by the National Dengue Control Program (NDCP) and are routinely obtained through passive surveillance. The data were analyzed at the provincial level for eight Cambodian provinces during 2008-2015. The R surveillance package was used for the analysis. We evaluated the effectiveness of Bayesian algorithms to detect outbreaks using count data series, comparing the current count to an expected distribution obtained from observations of past years. The analyses bore on 78,759 patients with dengue-like syndromes. The algorithm maximizing sensitivity and specificity for the detection of major dengue outbreaks was selected in each province. The overall sensitivity and specificity were 73% and 97%, respectively, for the detection of significant outbreaks during 2008-2015. Depending on the province, sensitivity and specificity ranged from 50% to 100% and 75% to 100%, respectively. The final algorithm meets clinicians' and decisionmakers' needs, is cost-free and is easy to implement at the provincial level.

These data belong to the Royal Government of Cambodia, as part of the Dengue National Program managed by the Ministry of Health's Center for Malaria Control (vectorborne diseases). A copy of the dataset can be accessible upon justified request if approved by the two following stakeholders: Dr. Didier FONTENILLE, Director, Institut Pasteur du Cambodge (dfontenille@pasteur-kh.org), and Dr. HUY Rekol, Director, National Malaria Center, Ministry of Health (director@cnm.gov.kh) ; International audience ; Dengue is a national priority disease in Cambodia. The Cambodian National Dengue Surveillance System is based on passive surveillance of dengue-like inpatients reported by public hospitals and on a sentinel, pediatric hospital-based active surveillance system. This system works well to assess trends but the sensitivity of the early warning and time-lag to usefully inform hospitals can be improved. During The ECOnomic development, ECOsystem MOdifications, and emerging infectious diseases Risk Evaluation (ECOMORE) proj-ect's knowledge translation platforms, Cambodian hospital staff requested an early warning tool to prepare for major outbreaks. Our objective was therefore to find adapted tools to improve the early warning system and preparedness. Dengue data was provided by the National Dengue Control Program (NDCP) and are routinely obtained through passive surveillance. The data were analyzed at the provincial level for eight Cambodian provinces during 2008-2015. The R surveillance package was used for the analysis. We evaluated the effectiveness of Bayesian algorithms to detect outbreaks using count data series, comparing the current count to an expected distribution obtained from observations of past years. The analyses bore on 78,759 patients with dengue-like syndromes. The algorithm maximizing sensitivity and specificity for the detection of major dengue outbreaks was selected in each province. The overall sensitivity and specificity were 73% and 97%, respectively, for the detection of significant outbreaks ...