The following core outputs of GBADs will be delivered during an initial five-year implementation phase (2020-2025). These products will identify the deficiencies of the animal health system and offer solutions to support the needs of smallholder farmers, commercial operations and society as a whole.

GBADs will work with country and specific production system partners to develop case studies on the burden of animal diseases in specific geographical jurisdictions and across sectors that are multinational. Case studies will generate datasets for the GBADs knowledge engine and provide guidance on how to interpret the information generated in order to contribute most effectively to the accomplishment of the SDGs. Case studies will demonstrate the value of robust measurements of the impact of animal disease and the mitigation achievable through targeted interventions within the development of investment cases, such as the OIE PVS Gap Analysis for the development/improvement of national Veterinary Services. The countries initially chosen for case studies will have the following characteristics, in order of importance:

  1. Demonstrate leadership in their region, a willingness to share information and collaborate, and will have livestock systems that are representative of the region.
  2. Possess modern IT resources providing access to data of good quality.
  3. Have institutions and key actors that share our analytical way of working, including recognising the importance of excellent communication and education.
  4. Exploit the GBADs consortium’s existing in-country links and other specific in country capacities, such as complementary ongoing programmes.
GBADs will develop systematic methods to estimate livestock populations, classify production systems and determine the animal biomass and capital value. This will be a fundamental aspect of generating the burden of animal disease at a population, sector and national level, as the number of animals and the systems they are maintained in establishes both the scale and value of livestock activity to society. The methods developed will provide this information and allow an interpretation of its weaknesses and accuracy. Current data systems do not service such needs. GBADs will develop methods to reinforce the food and agriculture data made publicly available through FAOSTAT. The best practice guidelines on livestock population estimates, production system classification (to include the socio-demographics of the livestock keepers) and livestock production parameters will be presented to FAOSTAT team for discussion on its development as a FAO guide.

GBADs will build a knowledge engine that will acquire and process existing data to provide estimates of the animal disease burden based on production loss, expenditure and trade. Animal disease burden information will be disaggregated over time, by geographical region (regions and countries) and by species and production systems. Metrics will be presented to enable benchmarking between geographies and production systems using a comparable ratio (burden/economic value). Information on the burden borne by different socio-economic groups of people, in particular smallholders and women, will also be featured through linking with information generated in the livestock sector analyses. Wherever possible, GBADs will also provide the ability and technical support, to drill down into the core data and the code of the models used to generate this information. This facility will serve two purposes: transparency and flexibility for users to derive additional information.

GBADs will provide a strategic interface to key organisations that produce human health data in relevant domains, such as the Institute for Health Metrics and Evaluation (IHME) and the World Health Organization (WHO). Such an interface will strengthen human disease burden estimation as data on animal densities, production systems and disease are key inputs into these models. From the animal health side, GBADs will draw on OIE-WAHIS and from the data being captured and collated by SEBI and GALVmed.

GBADs will provide information that will enrich a process which will include a range of political, social and economic variables in a multicriteria decision-making framework. An added value of this process will be to provide information that helps to refine and improve heuristics that decision-makers rely on and provide support in political environments. The intention will be to allow decisions to be made on a rational rather than intuitive basis. GBADs will not advocate for intervention where the greatest burdens lie, but provide the information necessary for determining which interventions will have the greatest impact to mitigate against significant disease burdens. This will result in a comprehensive and evidence-based system to allow decision-makers and investors to identify where challenges lie, where progress has been made and should increase the probability of technical and commercial success. It will also be used to track progress of new intervention programs by setting real benchmarks at the start of these initiatives.

The methods of data collection and analysis will provide evidence that ensures investment cases for animal health systems are robust. GBADs will be designed and implemented to be a natural adjunct to the OIE PVS Gap Analysis, the step in the OIE PVS Pathway that follows the PVS Evaluation. A standardised process to demonstrate the value of GBADs data within the context of OIE PVS Pathway will be developed to support countries to achieve targeted capacity development in animal health and veterinary public health services.

A holistic view of linkages between legislation, activities and programmes, and economics supporting national Veterinary Services capacity for animal health, animal welfare and veterinary public health will be established. The GBADs framework will be presented to the OIE and its Membership using the established process of developing detailed tools and guidelines on their use, that could eventually be succinctly described in a future standard in the OIE Terrestrial Animal Health Code.

The future vision of best practice for GBADs is a framework within an international standard supported by detailed guidelines and tools. Including the GBADs’ intelligence framework as an OIE international standard will cement it in the business as usual toolbox for animal health decision-making globally. This is fundamental to ensure its sustainability, with core activities being supported by the OIE, its Members, and resource partners. Institutionalising GBADs as an international animal health standard will take time, therefore adoption of this standard into the OIE Terrestrial Animal Health Code is envisaged by 2030.

To generate the greatest value for money from the GBADs investment there will be a need to create a cadre of people who understand the GBADs methodologies with an ability to interpret and act upon the information generated. Inclusiveness is a core value of GBADs and will be enacted by establishing an active feedback cycle to capture needs and suggested improvements. An education package will be delivered by recognised education providers via online content and facilitators at local centres of excellence. GBADs will maintain a quality assurance process through which educators are accredited to provide training and education on GBADs.

GBADs will provide a context for communicating with more accuracy the role of livestock in the lives of smallholders, women, people who live and work in the livestock food systems and, ultimately, the consumers and users of livestock products. The structure of the data portal will allow information to be brought together across time, space and social groupings, indicating the burdens of animal disease, the importance of animals in society and the allocation of resources in managing these animals. The information will be a powerful tool to highlight where public policy and private strategies can collectively focus on improving the outcomes of animals in society and their contribution to human wellbeing as well as contributing to the accomplishment of a number of SDGs.