Following a proposal made by the French and German Ministers for Foreign Affairs at the November 2020 Paris Peace Forum, 4 global partners, the Food and Agriculture Organization (FAO), the World ...Organization for Animal Health (OIE), the United Nations Environment Programme (UNEP), and the World Health Organization (WHO), in May 2021 established the interdisciplinary One Health High-Level Expert Panel (OHHLEP) (https://www.who.int/groups/one-health-high-level-expert-panel) to enhance their cross-sectoral collaboration. There is no shortage of “One Health” definitions in the published literature and among institutions and organizations. ...an immediate priority for OHHLEP was to develop consensus around a working definition as a solid basis to support a common understanding among the panel members and the partner organizations. Key underlying principles including 1. equity between sectors and disciplines; 2. sociopolitical and multicultural parity (the doctrine that all people are equal and deserve equal rights and opportunities) and inclusion and engagement of communities and marginalized voices; 3. socioecological equilibrium that seeks a harmonious balance between human–animal–environment interaction and acknowledging the importance of biodiversity, access to sufficient natural space and resources, and the intrinsic value of all living things within the ecosystem; 4. stewardship and the responsibility of humans to change behavior and adopt sustainable solutions that recognize the importance of animal welfare and the integrity of the whole ecosystem, thus securing the well-being of current and future generations; and 5. transdisciplinarity and multisectoral collaboration, which includes all relevant disciplines, both modern and traditional forms of knowledge and a broad representative array of perspectives. PLoS Pathog 18(6): e1010537. https://doi.org/10.1371/journal.ppat.1010537 About the Authors: One Health High-Level Expert Panel (OHHLEP) Wiku B. Adisasmito Affiliation: Universitas Indonesia, Depok, West Java, Indonesia Salama Almuhairi Affiliation: National Emergency Crisis and Disasters Management Authority, Abu Dhabi, United Arab Emirates Casey Barton Behravesh Affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America Pépé Bilivogui Affiliation: World Health Organization, Guinea Country Office, Conakry, Guinea Salome A. Bukachi Affiliation: Institute of Anthropology, Gender and African Studies, University of Nairobi, Nairobi, Kenya Natalia Casas Affiliation: National Ministry of Health, Autonomous City of Buenos Aires, Argentina Natalia Cediel Becerra Affiliation: School of Agricultural Sciences, Universidad de La Salle, Bogotá, Colombia Dominique F. Charron Affiliation: International Development Research Centre, Ottawa, Canada Abhishek Chaudhary Affiliation: Indian Institute of Technology (IIT), Kanpur, India Janice R. Ciacci Zanella Affiliation: Brazilian Agricultural Research Corporation (Embrapa), Embrapa Swine and Poultry, Concórdia, Santa Catarina, Brazil Andrew A. Cunningham Affiliation: Institute of Zoology, Zoological Society of London, London, United Kingdom Osman Dar Affiliations Global Operations Division, United Kingdom Health Security Agency, London, United Kingdom, Global Health Programme, Chatham House, Royal Institute of International Affairs, London, United Kingdom Nitish Debnath Affiliation: Fleming Fund Country Grant to Bangladesh, DAI Global, Dhaka, Bangladesh Baptiste Dungu Affiliations Afrivet B M, Pretoria, South Africa, Faculty of Veterinary Science, University of Kinshasa, Kinshasa, Democratic Republic Congo Elmoubasher Farag Affiliation: Ministry of Public Health, Health Protection & Communicable Diseases Division, Doha, Qatar George F. Gao Affiliation: Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China David T. S. Hayman Affiliation: Molecular Epidemiology and Public Health Laboratory, Massey University, Palmerston North, New Zealand Margaret Khaitsa Affiliation: Mississippi State University, Starkville, Mississippi,
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
En este artículo se describe la importancia de las alianzas públicas y las alianzas privadas (APP) y de la articulación público-privada para hacer frente a la resistencia antimicrobiana (RAM) ...mediante el enfoque Una Salud. Estas alianzas se tejen entre actores gubernamentales, empresas privadas y organizaciones sociales para la construcción de agendas, la toma de decisiones y la gestión de proyectos de interés común. Se presenta un estudio de caso de Colombia, en el que se describen ejemplos del sector público ante la alerta de resistencia a la colistina que la Organización Mundial de la Salud (OMS) informó en el 2016, los sectores productores de proteína animal bajo una alianza intergremial para el uso racional de los antimicrobianos y, por último, una alianza público-privada del sector porcícola con instituciones gubernamentales y cooperación internacional para lograr la implementación de acciones que mitiguen el riesgo de RAM. En Colombia, el establecimiento de alianzas con las organizaciones que representan a los sectores de productores agropecuarios ha generado acciones de impacto, como estrechar canales de comunicación permanente entre el sector público y el privado, caracterizar las condiciones de la cadena de producción agropecuaria, establecer mecanismos de consulta y validación de las políticas de salud en RAM, obtener una línea base de patógenos indicadores e identificación de los posibles flujos de propagación de RAM y, por último, lograr la transferencia de conocimiento y construcción de capacidades con expertos nacionales e internacionales, con acciones de concienciación de la problemática y su impacto en la salud pública. El modelo estratégico desarrollado en Colombia en colaboración público-privada puede inspirar a otros países de bajos y medianos ingresos para obtener resultados, con la optimización de recursos, que contribuyan al plan nacional de mitigación de la RAM.
Introducción: Se propone una metodología de priorización basada en riesgos de tipo ascendente para diferentes peligros y matrices alimentarios, denominada “APIR”. Las variables del modelo se ...encuentran subdivididas en dos categorías: a) las características del peligro, donde se cuantifica la probabilidad de ocurrencia y severidad. b) las propiedades de la matriz alimentaria que estiman su riesgo epidemiológico, presencia en el alimento y vulnerabilidad de su manufactura. Se establece un Índice de Riesgo (IR) como parámetro para facilitar que los gestores de inocuidad alimentaria discriminen y prioricen los Peligros Significativos durante la identificación de peligros de los planes HACCP. Objetivo: El objetivo de este trabajo fue establecer una metodología flexible y dinámica de priorización basada en riesgo para empresas procesadoras y transformadoras de productos de origen animal destinados al consumo humano e integrarla con los planes HACCP, permitiendo establecer controles específicos en el proceso productivo. Resultados: Los valores de la significancia entre los nodos Nrp y Nrm fueron de p<0,05. Se estimó el Coeficiente de Correlación de Spearman (rho) para determinar la proporción de variación entre los mismo predictores. Los resultados obtenidos fueron Or-Nrp (rho= 0,719, p= <0,001), Se-Nrp (rho= 0,888, p-valor= <0,001), Re-Nrm (rho= 0,560, p-valor= <0,001), Pm-Nrm (rho= 0,696, p-valor= <0,001) y Vd (rho= 0,687, p-valor= <0,001), respectivamente. Se incluye un estudio de caso para simular el modelo y demostrar su operatividad. Discusión: Los resultados obtenidos demuestran la replicabilidad y validez del presente modelo. Se propone el nombre de APIR (Análisis de Priorización basada en el Índice de Riesgo) para esta metodología.
Developing One Health surveillance systems Hayman, David T.S.; Adisasmito, Wiku B.; Almuhairi, Salama ...
One health,
December 2023, 2023-Dec, 2023-12-00, 20231201, 2023-12-01, Letnik:
17
Journal Article
Recenzirano
Odprti dostop
The health of humans, domestic and wild animals, plants, and the environment are inter-dependent. Global anthropogenic change is a key driver of disease emergence and spread and leads to biodiversity ...loss and ecosystem function degradation, which are themselves drivers of disease emergence. Pathogen spill-over events and subsequent disease outbreaks, including pandemics, in humans, animals and plants may arise when factors driving disease emergence and spread converge. One Health is an integrated approach that aims to sustainably balance and optimize human, animal and ecosystem health. Conventional disease surveillance has been siloed by sectors, with separate systems addressing the health of humans, domestic animals, cultivated plants, wildlife and the environment. One Health surveillance should include integrated surveillance for known and unknown pathogens, but combined with this more traditional disease-based surveillance, it also must include surveillance of drivers of disease emergence to improve prevention and mitigation of spill-over events. Here, we outline such an approach, including the characteristics and components required to overcome barriers and to optimize an integrated One Health surveillance system.
En los últimos años se ha promovido el uso de evidencia proveniente de la investigación debido al creciente desarrollo del movimiento de medicina basada en la evidencia y se ha descrito que la ...transferencia del concepto "Basado en la Evidencia" desde la práctica clínica hacia la práctica de la salud pública no ha sido tan directa como se esperaba. Gran parte de la evidencia disponible para apoyar las recomendaciones en materia de salud pública proviene de estudios que se califican como evidencia de baja o muy baja calidad en la jerarquía medicina basada en la evidencia clásica y en el enfoque de GRADE. El objetivo del presente artículo es presentar dos métodos de calificación de evidencia, sus limitaciones y aplicaciones como herramientas para la toma de decisiones en salud pública.
Abstract The global demand from multi-sectoral partners for operational tools for One Health implementation and capacity building is increasing, yet a validated global inventory of One Health tools ...did not exist. Here, we map and analyze available One Health tools and assess their suitability to support One Health implementation, including the One Health Joint Plan of Action 2022–2026 (OH JPA). Our objectives were to identify (i) publicly available One Health tools to support capacity building and OH JPA implementation; (ii) optimal outcomes for countries/regions using available One Health tools; (iii) linkages to OH JPA Action Tracks and pathways in the One Health Theory of Change (TOC); and (iv) gaps and priorities for the development of additional One Health tools. One Health High Level Expert Panel (OHHLEP) members compiled information on One Health tools that were publicly available and released up to June 30, 2023, via online sources and partner networks including the Quadripartite organizations. Inclusion criteria addressed One Health relevance, use at the national, subnational, or regional level in ≥5 locations, and publicly available information. Tools were assessed for applicability by OH JPA action track, TOC pathway, scope, and intended outcomes, as well as the extent to which tools addressed gender equality, social inclusion, and environmental dimensions of One Health. Of 132 candidate tools, 50 (38%) met the inclusion criteria. These tools addressed all six OH JPA Action Tracks, but relatively fewer tools addressed Action Tracks 4 (Food Safety), 5 (Antimicrobial Resistance), and 6 (Environmental Integration). Tools were available to support all three TOC outcome pathways, and many addressed more than one Action Track and TOC outcome pathway. Most available One Health tools addressed assessment and to a lesser extent implementation, with fewer tools available for action planning, prioritization, and monitoring. Gaps and opportunities for improving One Health tools were identified, including the integration of the environment dimension, gender equality, and social inclusion. Ultimately, our findings will contribute to further the advancement of One Health globally, including via OH JPA implementation, while spurring adjustments to existing One Health tools and the development of new ones to address key gaps. One Health impact statement The One Health approach is gaining momentum globally, and this study represents the first integrated mapping and analysis of globally available One Health tools. Our findings aim to improve the quality, applicability, and availability of tools to support One Health implementation at the subnational, national, regional, and global levels, including through the Quadripartite’s One Health Joint Plan of Action. By using the OHHLEP definition of One Health to assess available One Health tools and map them onto the One Health Joint Plan of Action, we identify the need for a systematic approach and enhanced integration across dimensions of One Health to lead to sustainable One Health systems.
