The need for One Health systems-thinking approaches to understand multiscale dissemination of antimicrobial resistance.

Although the effects of antimicrobial resistance (AMR) are most obvious at clinical treatment failure, AMR evolution, transmission, and dispersal happen largely in environmental settings, for example within farms, waterways, livestock, and wildlife. We argue that systems-thinking, One Health approaches are crucial for tackling AMR, by understanding and predicting how anthropogenic activities interact within environmental subsystems, to drive AMR emergence and transmission. Innovative computational methods integrating big data streams (eg, from clinical, agricultural, and environmental monitoring) will accelerate our understanding of AMR, supporting decision making. There are challenges to accessing, integrating, synthesising, and interpreting such complex, multidimensional, heterogeneous datasets, including the lack of specific metrics to quantify anthropogenic AMR. Moreover, data confidentiality, geopolitical and cultural variation, surveillance gaps, and science funding cause biases, uncertainty, and gaps in AMR data and metadata. Combining systems-thinking with modelling will allow exploration, scaling-up, and extrapolation of existing data. This combination will provide vital understanding of the dynamic movement and transmission of AMR within and among environmental subsystems, and its effects across the greater system. Consequently, strategies for slowing down AMR dissemination can be modelled and compared for efficacy and cost-effectiveness.

Pathology, infectious agents and horse- and management-level risk factors associated with signs of respiratory disease in Ethiopian working horses.

BACKGROUND: Respiratory disease is a common cause for presentation of working horses to clinics in Ethiopia and a priority concern for owners. OBJECTIVES: To identify risk factors for and association of pathogens with respiratory signs in working horses. STUDY DESIGN: Unmatched case-control study. METHODS: Cases were those animals recently coughing (last 7 days) or observed with coughing, nasal discharge or altered respiration at the time of examination. A physical exam and respiratory endoscopy were performed including a tracheal wash sample to detect the presence of pathogens and serology performed on blood. An owner questionnaire was administered. Risk factors were determined using multivariable logistic regression. RESULTS: Data on 108 cases and 93 unmatched control horses were obtained. Case horses often had underlying lower airway pathology and were significantly more likely to have Streptococcus zooepidemicus detected (OR: 12.4, 95% CI: 3.6-42.4). There was no evidence of a major role for viral respiratory pathogens. Risk factors included completion of strenuous work (OR: 2.7, 95% CI: 1.2-6.3), drinking from stagnant water sources (OR: 2.3, 95% CI: 1.0-5.2) or being housed on a cobbled floor (OR: 2.0, 95% CI: 1.1-3.8). There were increased odds of respiratory disease in young and old horses in this population. MAIN LIMITATIONS: Samples for pathogen detection and cytology were only taken from the trachea. CONCLUSION: S. zooepidemicus, a common commensal, may play a role in clinical respiratory disease in this population.

One Health for neglected tropical diseases.

The forthcoming World Health Organization road map for neglected tropical diseases (NTDs) 2021-2030 recognises the complexity surrounding control and elimination of these 20 diseases of poverty. It emphasises the need for a paradigm shift from disease-specific interventions to holistic cross-cutting approaches coordinating with adjacent disciplines. The One Health approach exemplifies this shift, extending beyond a conventional model of zoonotic disease control to consider the interactions of human and animal health systems within their shared environment and the wider social and economic context. This approach can also promote sustainability and resilience within these systems. To achieve the global ambition on NTD elimination and control, political will, along with contextualised innovative scientific strategies, is required.

Control of Cattle Ticks and Tick-Borne Diseases by Acaricide in Southern Province of Zambia: A Retrospective Evaluation of Animal Health Measures According to Current One Health Concepts.

One health thinking for health interventions is increasingly being used to capture previously unseen stakeholders and impacts across people, animals, and the environment. The Network for One Health Evaluation (NEOH) proposes a systems-based framework to quantitatively assess integration and highlight the added value (theory of change) that this approach will bring to a project. This case study will retrospectively evaluate the pioneering use of a One Health (OH) approach during an international collaboration (satellite project to tackle production losses due to tick-borne disease in cattle in Southern Zambia in late 1980s). The objective of the evaluation is twofold: retrospective evaluation the OH-ness of the satellite project and identification of costs and benefits. Data for evaluation was recovered from publications, project documents, and witness interviews. A mixed qualitative and quantitative evaluation was undertaken. In this case study, a transdisciplinary approach allowed for the identification of a serious public health risk arising from the unexpected reuse of chemical containers by the local public against advice. Should this pioneering project not have been completed then it is assumed this behavior could have had a large impact on public wellbeing and ultimately reduced regional productivity and compromised welfare. From the economic evaluation, the costs of implementing this OH approach, helping to avoid harm, were small in comparison to overall project costs. The overall OH Index was 0.34. The satellite project demonstrated good OH operations by managing to incorporate the input across multiple dimensions but was slightly weaker on OH infrastructures (OH Ratio = 1.20). These quantitative results can be used in the initial validation and benchmarking of this novel framework. Limitations of the evaluation were mainly a lack of data due to the length of time since project completion and a lack of formal monitoring of program impact. In future health strategy development and execution, routine monitoring and evaluation from an OH perspective (by utilizing the framework proposed by NEOH), could prove valuable or used as a tool for retrospective evaluation of existing policies.

Effectiveness of out-of-home day care for disadvantaged families: randomised controlled trial.

OBJECTIVE: To assess the effects of providing daycare facilities for young children on the health and welfare of disadvantaged families. DESIGN: Randomised controlled trial. Eligible children from the application list to a daycare facility were randomly allocated to receive a daycare place or not. SETTING: Early Years daycare centre in Borough of Hackney, London. PARTICIPANTS: 120 mothers and 143 eligible children (aged between 6 months and 3.5 years). INTERVENTION: A place at the centre, which provided high quality day care. Control families used other child care that they secured for themselves. MAIN OUTCOME MEASURES: Maternal paid employment, household income, child health and development. RESULTS: At 18 months' follow up, 67% of intervention group mothers and 60% of control group mothers were in paid employment (adjusted risk ratio 1.23 (95% confidence interval 0.99 to 1.52)), but were no more likely to have a weekly household income of above pound 200 (risk ratio 0.88 (0.70 to 1.09)). Intervention group children had more otitis media with effusion (risk ratio 1.74 (1.02 to 2.96)) and used more health services (1.58 (1.05 to 2.38)), but both estimates were imprecise. CONCLUSION: The provision of child day care may have increased maternal employment, but it did not seem to increase household income. The results suggest that providing day care may be insufficient as a strategy to reduce poverty. The study shows how random allocation can be used to ration and evaluate interventions where demand exceeds supply.

Evaluation of a structured test and a parent led method for screening for speech and language problems: prospective population based study.

OBJECTIVE: To evaluate two methods for identifying speech and language problems in preschool children. DESIGN: Prospective population based study. SETTING: Inner London. PARTICIPANTS AND METHODS: 37 health visitors were randomly assigned to use a structured screening test (18) or a parent led method (19). Of 623 eligible children aged 30-36 months, the parents of 582 agreed to participate (353 using the structured test and 229 the parent led method). MAIN OUTCOME MEASURES: Children were assessed by a speech and language therapist blinded to the test result, using the Reynell developmental language scales. Children were classified as having "severe language problems" if the Reynell score was below the third centile for receptive language and as "needing therapy" if the Reynell score was below the seventh centile for receptive or expressive language and clinical opinion. RESULTS: Reference assessments and usable scores were obtained for 458 (97%) of the 474 children screened. 98 (21%) children had severe language problems and 131 (29%) needed therapy. The sensitivity and specificity for the structured screening test were 66% (95% confidence interval 53% to 76%) and 89% (85% to 93%) respectively for severe language problems and 54% (43% to 65%) and 90% (85% to 93%) for those needing therapy. The sensitivity and specificity for referral by the parent led method were 56% (40% to 71%) and 85% (78% to 90%) for severe language problems and 58% (44% to 71%) and 90% (83% to 94%) for those needing speech and language therapy. CONCLUSIONS: Both approaches failed to detect a substantial proportion of children with severe language problems and led to over-referral for diagnostic assessments. Screening is likely to be an ineffective approach to the management of speech and language problems in preschool children in this population.