A multi-stakeholder participatory pilot study of the data demands of the future Ethiopian dairy sector.

Background:  This paper describes a pilot study undertaken in 2018, to determine the key data needs of each of the different Ethiopian dairy sector stakeholder groups.  The study aimed to characterise the emerging trends of dairy product production, processing, retailing and consumption in Ethiopia, and to identify and characterise current and future data needs of different stakeholders. Methods:  The study undertook a mapping of the interactions between different stakeholders in the dairy sector, and an interactive evaluation of the institutional data repository and access options.  Focus group discussions and interviews were held in three regions of the country prior to a two-day workshop in the capital Addis Ababa.  Data needs were characterised by type, availability, format, level of detail, methods of dissemination, uptake and use, and the institutional arrangement, including the different roles of public and private sectors in decision making processes. Results:  The study highlighted the main data needs and identified several broader institutional issues constraining the further development of the Ethiopian dairy sector.  The stakeholder groups endorsed the reactivation of a national dairy board, independent of government but closely incorporating government, and with the buy-in and membership of private sector enterprises, including producers, processers, service providers and consumers, to provide clearer facilitative leadership on the dairy industry. Conclusions:  The study workshop provided a timely discussion between diverse stakeholders, including government, and several potential organisations were suggested to host and manage a national dairy database. Importantly, the reactivation of a national dairy board was strongly endorsed.  It was recommended that stakeholder links be established, sector-specific data needs be elevated to higher detail, and a national roll out of herd-specific data recording schemes was called for, to allow for effective evidence-based policies and decision making.

Tackling human and animal health threats through innovative vaccinology in Africa.

Africa bears the brunt of many of the world's most devastating human and animal infectious diseases, a good number of which have no licensed or effective vaccines available. The continent's potential to generate novel interventions against these global health threats is however largely untapped. Strengthening Africa's vaccine research and development (R&D) sector could accelerate discovery, development and deployment of effective countermeasures against locally prevalent infectious diseases, many of which are neglected and have the capacity to spread to new geographical settings. Here, we review Africa's human and veterinary vaccine R&D sectors and identify key areas that should be prioritized for investment, and synergies that could be exploited from Africa's veterinary vaccine industry, which is surprisingly strong and has close parallels with human vaccine R&D.

Current drivers and future directions of global livestock disease dynamics.

We review the global dynamics of livestock disease over the last two decades. Our imperfect ability to detect and report disease hinders assessment of trends, but we suggest that, although endemic diseases continue their historic decline in wealthy countries, poor countries experience static or deteriorating animal health and epidemic diseases show both regression and expansion. At a mesolevel, disease is changing in terms of space and host, which is illustrated by bluetongue, Lyme disease, and West Nile virus, and it is also emerging, as illustrated by highly pathogenic avian influenza and others. Major proximate drivers of change in disease dynamics include ecosystem change, ecosystem incursion, and movements of people and animals; underlying these are demographic change and an increasing demand for livestock products. We identify three trajectories of global disease dynamics: (i) the worried well in developed countries (demanding less risk while broadening the circle of moral concern), (ii) the intensifying and market-orientated systems of many developing countries, where highly complex disease patterns create hot spots for disease shifts, and (iii) the neglected cold spots in poor countries, where rapid change in disease dynamics is less likely but smallholders and pastoralists continue to struggle with largely preventable and curable livestock diseases.

The economic and poverty impacts of animal diseases in developing countries: new roles, new demands for economics and epidemiology.

Animal disease outbreaks pose significant threats to livestock sectors throughout the world, both from the standpoint of the economic impacts of the disease itself and the measures taken to mitigate the risk of disease introduction. These impacts are multidimensional and not always well understood, complicating effective policy response. In the developing world, livestock diseases have broader, more nuanced effects on markets, poverty, and livelihoods, given the diversity of uses of livestock and complexity of livestock value chains. In both settings, disease control strategies, particularly those informed by ex ante modeling platforms, often fail to recognize the constraints inherent among farmers, veterinary services, and other value chain actors. In short, context matters. Correspondingly, an important gap in the animal health economics literature is the explicit incorporation of behavior and incentives in impact analyses that highlight the interactions of disease with its socio-economic and institutional setting. In this paper, we examine new approaches and frameworks for the analysis of economic and poverty impacts of animal diseases. We propose greater utilization of "bottom-up" analyses, highlighting the strengths and weaknesses of value chain and information economics approaches in impact analyses and stressing the importance of improved integration between the epidemiology of disease and its relationships with economic behavior.