All infections are potentially curable as long as the etiological agents are susceptible to antimicrobials. The increased rate at which antimicrobials are becoming ineffective is a global health risk of increasing concern that threatens withdrawal of beneficial antimicrobials for disease control. The increased demand for food of animal origin, in particular eggs, meat and milk has led to intensification and commercial production systems where excessive use and misuse of antimicrobials may prevail. Antimicrobials, handled and used by farmers and animal attendants with no formal education, may be predisposed to incorrect dosages, misuse, incorrect applications and non-adherence to withdrawal periods. This study was conducted to assess the regulatory roles and governance of antimicrobials, establish the pattern and extent of their use, evaluate the antimicrobial residues and resistance in the food animals and crop agriculture value chains, and relate these findings to existing strategies in place for combating the emergence of antimicrobial resistance in Tanzania. A multimethod approach (desk review, field study and interviews) was used. Relevant establishments were also visited. High levels of resistance to penicillin G, chloramphenicol, streptomycin and oxytetracycline have been reported, especially for Actinobacter pyogenes, Staphylococcus hyicus, Staphylococcus intermedius and Staphylococcus aureus from dairy cattle with mastitis and in humans. Similar trends were found in poultry where eggs and meat are contaminated with Escherichia coli strains resistant to amoxicillin + clavulanate, sulphamethoxazole and neomycin. An increasing trend of emerging multidrug resistant E. coli, Klebsiella pneumoniae, Staphylococcus aureus and Salmonella was also found in food animals. An increase in methicillin resistant Staphlococcus aureus (MRSA) and extended-spectrum beta-lactamase (ESBL) in the livestock sector in Tanzania have been reported. The pathogens isolated in animals were resistant to ampicillin, augmentin, gentamicin, co-trimoxazole, tetracycline, amoxicillin, streptomycin, nalidixic acid, azithromycin, chloramphenicol, tylosin, erythromycin, cefuroxime, norfloxacin and ciprofloxacin. An increased usage of antimicrobials for prophylaxis, and therapeutics against pathogens and for growth promotion in livestock, aquaculture and crop production were observed. A One Health strategic approach is advocated to combat antimicrobial resistance (AMR) in the food and agriculture sectors in Tanzania. Practical recommendations include (a) legislation review and implementation; (b) antimicrobial use (AMU), AMR and antimicrobial residue (AR) awareness and advocacy among stakeholders along the value chain; (c) strengthening of surveillance and monitoring programs for AMU, AMR and AR; (d) enhanced development and use of rapid and innovative diagnostic tests and the promotion of biosecurity principles; and (e) good husbandry practices. The utilization of this information to improve public health policies and reduce the burden of AMR will be beneficial.

The economic evaluation of health surveillance systems and of health information is a methodological challenge, as for information systems in general. Main present threads are considering cost-effectiveness solutions, minimizing costs for a given technically required output, or cost-benefit analysis, balancing costs with economic benefits of duly informed public interventions. The latter option, following a linear command-and-control perspective, implies considering a main causal link between information, decision, action, and health benefits. Yet, valuing information, taking into account its nature and multiple sources, the modalities of its processing cycle, from production to diffusion, decentralized use and gradual building of a shared information capital, constitutes a promising challenge. This work proposes an interdisciplinary insight on the value of health surveillance to get a renewed theoretical framework integrating information and informatics theory and information economics. The reflection is based on a typological approach of value, basically distinguishing between use and non-use values. Through this structured discussion, the main idea is to expand the boundaries of surveillance evaluation, to focus on changes and trends, on the dynamic and networked structure of information systems, on the contribution of diverse data, and on the added value of combining qualitative and quantitative information. Distancing itself from the command-and-control model, this reflection considers the behavioral fundaments of many health risks, as well as the decentralized, progressive and deliberative dimension of decision-making in risk management. The framework also draws on lessons learnt from recent applications within and outside of health sector, as in surveillance of antimicrobial resistance, inter-laboratory networks, the use of big data or web sources, the diffusion of technological products and large-scale financial risks. Finally, the paper poses the bases to think the challenge of a workable approach to economic evaluation of health surveillance through a better understanding of health information value. It aims to avoid over-simplifying the range of health information benefits across society while keeping evaluation within the boundaries of what may be ascribed to the assessed information system.

Many breeding programs have been implemented in developing countries, many of which have been unsuccessful. To better understand the failure of these breeding programs, it is proposed to analyze their adequacy with innovations that are actually adopted by smallholders. The proposed methodology takes account of these innovations, the reasons for their adoption and the objectives of livestock keeping. The N’Dama cattle-breeding program in Senegal was used as a case study. Surveys were carried out among 54 farmers: 27 breeders who participated in this program, 17 of whom recently resigned, and 27 breeders who have never participated. Feeding was the most frequently cited area of innovation, followed by infrastructure. Genetics, animal health and reproduction held the third rank. Milk production appeared as an important objective of breeders, although the context remains one of strong multifunctionality. Principal component analysis highlighted three categories of breeders according to the innovations they adopted: institutional, modernizing, and integrating innovators. The groups of institutional and modernizing innovators dominate, gathering each 41% of the farmers. In the first category, breeders have organized themselves in an association and use N’Dama sires, livestock aiming at an insurance objective. In the second category, artificial insemination with exotic breeds and other technical innovations (cowshed, vaccination, urea treatment of straw) are used to improve production of milk and meat. The third group is termed ‘integrating innovators,’ since their innovations aim at integrating livestock and crop production. Gathering 18% of the sampled breeders, this group presents intermediate features between the two previous groups, using animals as draught power and for manure production. These results indicate that a process of intensification is at play and that the genetic improvement through the selection of N’Dama cattle for production criteria does not meet the breeders’ demand. However, the N’Dama’s adaptive traits justify its use as part of the breeding strategy of farmers, either in pure-breeding or in crossbreeding. The study thus tends to show the interactive link between genetic improvement and other innovations. It suggests that the success of a breeding program depends on its adequate positioning within the set of innovations adopted by breeders and proposes a method to inform breeding programs accordingly.

Ebola and COVID-19 are textbook emerging diseases influenced by humans. Ebola is often considered a result of exotic nature threatening health. Conversely, COVID-19, emerged in an urban environment, entails risks worldwide. Geographical, virological and demographic differences influence risk perceptions and responses to both diseases. Because ecological understanding of urban human-animal relations improves disease risk assessment, we call for ethnographical exploration of this interface. ‘Global Urban Confinement Measures’ impact health by influencing disease perceptions, limiting nature access, and strengthening inequities. To prevent and mitigate zoonotic pandemics and their consequences, policy should promote nature connectedness, concert with stakeholders, and integrate nature-city-inhabitant interactions.

The value chain (VC) is a major operational concept for socioeconomic analysis at meso level. Widely mobilized in development practice, it is still undergoing conceptual and practical refining, e.g., to take account of environmental and social sustainability. Briefly, VC refers to a system of value creation through the full set of actors, links, technical and commercial activities and flows involved in the provision of a good or service on a market. In the past decade, this concept has been promoted in the management of animal health. In particular, the emergence of highly pathogenic avian influenza (HPAI) has triggered an interdisciplinary dynamic including VC analysis as a central tool. These efforts promoted participatory investigation methods in the analysis of health systems. Using qualitative and quantitative data, these methods acknowledge the usefulness of actors’ involvement and knowledge, hence facilitating the transdisciplinarity needed for effective action. They fit into adaptive and action-oriented strategies, fostering stakeholders’ participation. Recent research on HPAI surveillance in South-East Asia merged VC and participatory approaches to develop innovative tools for analyzing constraints to information flow. On-going interventions for HPAI prevention and control as well as the prevention of other emerging zoonotic risks in Africa are presently building on this VC framework to develop strategies for its application at national and regional scales. Based on the latter experiences, this article proposes a field-based perspective on VC applications to animal and public health systems, within a One Health approach responding to the overall challenge of complexity.