596 research outputs found

    High Reliability Knowledge Networks: Responding to Animal Diseases in a Pastoral Area of Northern Kenya

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    How can reliability be generated and sustained in the face of uncertainty? This question is explored by examining knowledge networks among pastoralists and others in northern Kenya, emerging in response to a highly variable animal disease setting. Using quantitative and qualitative social network analysis, intersecting locally-embedded, development project and political networks are identified. Drawing on high-reliability theory, as applied to critical infrastructures, the paper explores the key characteristics of the knowledge networks in relation to systems, knowledges, relationships, technologies, professionals and politics. Reliability – the ability to provide stable services and respond variability in real-time – is shown to be related to the networked capacity to mobilise knowledge to confront uncertainty and avoid ignorance, with certain high-reliability professionals central. The locally-embedded network in particular has important characteristics of a high reliability knowledge network, but key brokers link to the development project and political network. Development challenges often require addressing uncertainty and even ignorance and lessons from high-reliability approaches can be crucial

    Review of 'The End of Desertification? Disputing Environmental Change in the Drylands' by Roy H. Behnke and Michael Mortimore

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    Tales of desertification across the world’s drylands are a recurrent theme in policy discourse. This book takes issue with many of the assumptions around desertification, with cases ranging from Central Asia to West Africa to the Mediterranean to the American West. It is edited by Roy Behnke, an anthropologist with deep knowledge of pastoral areas in North and Southern Africa, West Asia and more, and Michael Mortimore, sadly now late, a development geographer, who knew a huge amount about the drylands of Africa, and particularly northern Nigeria

    One Health for a changing world: new perspectives from Africa

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    The concept of One Health, which aims to drive improvements in human, animal and ecological health through an holistic approach, has been gaining increasing support and attention in recent years. While this concept has much appeal, there are few examples where it has been successfully put into practice. This Special Issue explores the challenges in African contexts, with papers looking at the complex interactions between ecosystems, diseases and poverty dynamics; at underlying social and political dimensions; at the potentials for integrative modelling; and at the changes in policy and practice required to realise a One Health approach. This introductory paper offers an overview of the 11 papers, coming from diverse disciplinary perspectives, that each explore how a One Health approach can work in a world of social, economic and environmental change

    Monitoring Depth of Hypnosis: Mid-Latency Auditory Evoked Potentials Derived aepEX in Children Receiving Desflurane-Remifentanil Anesthesia

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    BACKGROUND: The aepEXplus monitoring system, which uses mid-latency auditory evoked potentials to measure depth of hypnosis, was evaluated in pediatric patients receiving desflurane-remifentanil anesthesia. METHODS: Seventy-five patients, 1-18 years of age (stratified for age; 1-3, 3-6, 6-18 years, for subgroup analyses), were included in this prospective observational study. The aepEX and the bispectral index (BIS) were recorded simultaneously, the latter serving as a reference. The ability of the aepEX to detect different levels of consciousness, defined according to the University of Michigan Sedation Scale, investigated using prediction probability (Pk), and receiver operating characteristic (ROC) analysis, served as the primary outcome parameter. As a secondary outcome parameter, the relationship between end-tidal desflurane and the aepEX and BIS values were calculated by fitting in a nonlinear regression model. RESULTS: The Pk values for the aepEX and the BIS were, respectively, .68 (95% CI, 0.53-0.82) and .85 (95% CI, 0.73-0.96; P = .02). The aepEX and the BIS had an area under the ROC curve of, respectively, 0.89 (95% CI, 0.80-0.95) and 0.76 (95% CI, 0.68-0.84; P = .04). The maximized sensitivity and specificity were, respectively, 81% (95% CI, 61%-93%) and 86% (95% CI, 74%-94%) for the aepEX at a cutoff value of >52, and 69% (95% CI, 56%-81%) and 70% (95% CI, 57%-81%) for the BIS at a cutoff value of >65. The age-corrected end-tidal desflurane concentration associated with an index value of 50 (EC50) was 0.59 minimum alveolar concentration (interquartile range: 0.38-0.85) and 0.58 minimum alveolar concentration (interquartile range: 0.41-0.70) for, respectively, the aepEX and BIS (P = .69). Age-group analysis showed no evidence of a difference regarding the area under the ROC curve or EC50. CONCLUSIONS: The aepEX can reliably differentiate between a conscious and an unconscious state in pediatric patients receiving desflurane-remifentanil anesthesia

    The politics of global assessments: the case of the International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD)

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    The IAASTD – the International Assessment of Agricultural Knowledge, Science and Technology for Development – which ran between 2003 and 2008, involving over 400 scientists worldwide, was an ambitious attempt to encourage local and global debate on the future of agricultural science and technology. Responding to critiques of top-down, northern-dominated expert assessments of the past, the IAASTD aimed to be more inclusive and participatory in both design and process. But to what extent did it meet these objectives? Did it genuinely allow alternative voices to be heard? Did it create a new mode of engagement in global arenas? And what were the power relations involved, creating what processes of inclusion and exclusion? These questions are probed in an examination of the IAASTD process over five years, involving a combination of interviews with key participants and review of available documents. The paper focuses in particular on two areas of controversy – the use of quantitative scenario modelling and the role of genetically-modified crops in developing country agriculture. These highlight some of the knowledge contests involved in the assessment and, in turn, illuminate four questions at the heart of contemporary democratic theory and practice: how do processes of knowledge framing occur; how do different practices and methodologies get deployed in crosscultural, global processes; how is ‘representation’ constructed and legitimised; and how, as a result, do collective understandings of global issues emerge? The paper concludes that, in assessments of this sort, the politics of knowledge needs to be made more explicit, and negotiations around politics and values, framings and perspectives, need to be put centre-stage in assessment design.ESR

    Livelihoods, Land and Political Economy: Reflections on Sam Moyo’s Research Methodology

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    This article focuses on the methodological lessons from Sam Moyo’s scholarship. Sam’s research is characterised by a combination of detailed empirical investigation, deep knowledge of the technical and practical aspects of agricultural production and farming livelihoods, and bigpicture political economy analysis and theory. Sam’s method is an insightful contemporary application of the method originally set out in Marx’s Grundrisse. Many contemporary explorations of agrarian political economy fail to sustain the important tension and dialectical debate, between diverse empirical realities and their ‘multiple determinations and relations’ and wider theorisation of the ‘concrete’ features of emergent processes of change. The implications of Sam’s methodological approach for the analysis of Zimbabwe’s land reform are discussed, especially in relation to the land occupations and the politics of agrarian reform since 2000

    People, Patches, and Parasites: The Case of Trypanosomiasis in Zimbabwe

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    Understanding the socio-ecology of disease requires careful attention to the role of patches within disease landscapes. Such patches, and the interfaces between different socio-epidemiological systems, we argue, have important implications for disease control.We conducted an interdisciplinary study over three years to investigate the spatial dynamics of human and animal trypanosomiasis in the Zambezi valley, Zimbabwe. We used a habitat niche model to identify changes in suitable habitat for tsetse fly vectors over time, and this is related to local villagers’ understandings of where flies are found. Fly trapping and blood DNA analysis of livestock highlighted the patchy distribution of both flies and trypanosome parasites. Through livelihoods analysis we explored who makes use of what areas of the landscape and when, identifying the social groups most at risk. We conclude with a discussion of the practical implications, including the need for an integrated ‘One Health’ approach involving targeted approaches to both vector control and surveillance

    Integrative modelling for One Health: pattern, process and participation

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    This paper argues for an integrative modelling approach for understanding zoonoses disease dynamics, combining process, pattern and participatory models. Each type of modelling provides important insights, but all are limited. Combining these in a ‘3P’ approach offers the opportunity for a productive conversation between modelling efforts, contributing to a ‘One Health’ agenda. The aim is not to come up with a composite model, but seek synergies between perspectives, encouraging cross-disciplinary interactions. We illustrate our argument with cases from Africa, and in particular from our work on Ebola virus and Lassa fever virus. Combining process-based compartmental models with macroecological data offers a spatial perspective on potential disease impacts. However, without insights from the ground, the ‘black box’ of transmission dynamics, so crucial to model assumptions, may not be fully understood. We show how participatory modelling and ethnographic research of Ebola and Lassa fever can reveal social roles, unsafe practices, mobility and movement and temporal changes in livelihoods. Together with longer-term dynamics of change in societies and ecologies, all can be important in explaining disease transmission, and provide important complementary insights to other modelling efforts. An integrative modelling approach therefore can offer help to improve disease control efforts and public health responses. This article is part of the themed issue ‘One Health for a changing world: zoonoses, ecosystems and human well-being’.This work was undertaken under the umbrella of the Dynamic Drivers of Disease in Africa programme, hosted by the ESRC STEPS Centre (http://steps-centre.org/project/drivers_of_disease/). The programme was funded by ESPA (Ecosystem Services for Poverty Alleviation), supported by NERC (Natural Environment Research Council), DFID (Department for International Development) and ESRC (Economic and Social Research Council) (NE-J001570-1)
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