| Literature DB >> 28825424 |
Meghan F Davis1,2, Shelley C Rankin3, Janna M Schurer4,5, Stephen Cole6, Lisa Conti7, Peter Rabinowitz8,9,10.
Abstract
One Health is defined as the intersection and integration of knowledge regarding humans, animals, and the environment, yet as the One Health scientific literature expands, there is considerable heterogeneity of approach and quality of reporting in One Health studies. In addition, many researchers who publish such studies do not include or integrate data from all three domains of human, animal, and environmental health. This points to a critical need to unify guidelines for One Health studies. This report details the Checklist for One Health Epidemiological Reporting of Evidence (COHERE) to guide the design and publication format of future One Health studies. COHERE was developed by a core writing team and international expert review group that represents multiple disciplines, including human medicine, veterinary medicine, public health, allied professionals, clinical laboratory science, epidemiology, the social sciences, ecohealth and environmental health. The twin aims of the COHERE standards are to 1) improve the quality of reporting of observational or interventional epidemiological studies that collect and integrate data from humans, animals and/or vectors, and their environments; and 2) promote the concept that One Health studies should integrate knowledge from these three domains. The 19 standards in the COHERE checklist address descriptions of human populations, animal populations, environmental assessment, spatial and temporal relationships of data from the three domains, integration of analyses and interpretation, and inclusion of expertise in the research team from disciplines related to human health, animal health, and environmental health.Entities:
Keywords: Environmental health; Epidemiology; Observational studies; One Health; Reporting guidelines
Year: 2017 PMID: 28825424 PMCID: PMC5536878 DOI: 10.1016/j.onehlt.2017.07.001
Source DB: PubMed Journal: One Health ISSN: 2352-7714
Fig. 1Number of papers published per year identified with the search terms “One Health” or “One Medicine” in Pubmed (1927–2016).
Fig. 2Venn diagram illustrating the three domains of One Health. (A) Epidemiological studies relating factors between animal and human health; (B) Epidemiological studies relating factors between environmental and human health; (C) Epidemiological studies relating factors between animal and environmental health.
Suggested categorization of One Health and related epidemiological studies involving at least two of the three domains.
| Data reported | Researcher expertise | Description | Hypothetical example | Example studies | |||||
|---|---|---|---|---|---|---|---|---|---|
| H | A | E | H | A | E | ||||
| One Health | X | X | X | X | X | X | Data and researcher expertise are well represented among all three domains | Concurrent assessment of a zoonotic pathogen in humans, animals, and a shared environmental reservoir | |
| One Health | [X] | X | X | X | X | X | Researcher expertise covers all domains, but data are limited or surrogate assessments are used for one of the domains | Concurrent investigation of a worksite where animals and the environment are sampled, but access to workers is limited; breathing zone and ambient assessments are made and although humans are not sampled, overall study inference is to worker health | |
| One Health | X | [X] | X | X | X | X | Researcher expertise covers all domains, but data are limited or surrogate assessments are used for one of the domains | Concurrent investigation of the association between an environmental exposure and human disease where access to animals is restricted but detailed data are collected instead on human-animal contacts or proximity as a primary risk factor or effect modifier of interest | |
| One Health | X | X | [X] | X | X | X | Researcher expertise covers all domains, but data are limited or surrogate assessments are used for one of the domains | Concurrent investigation of the overlapping spatial distribution of clinical disease in humans and animals where data from the literature are used to model or infer the environmental exposure | |
| One Medicine | X | X | X | X | Data and expertise capture human and animal domains | Concurrent investigation of zoonotic disease transmission between animal and human populations, where animal disease is known to emerge from an environmental reservoir, but contributions from environmental factors are neither assessed nor modeled | |||
| Environmental Health | X | X or [X] | X | X | Data and expertise capture human and environmental domains | Concurrent investigation of an environmental contaminant that may derive from animals and the effects of that contaminant on human health, where animals are not assessed | |||
| Veterinary Preventative Medicine | X | X or [X] | X | X | Data and expertise capture animal and environmental domains | Concurrent investigation of a pathogen reservoir in animal housing and the effects of that reservoir on animal carriage of the pathogen, where humans may interact with the animals and/or housing reservoir but human carriage is neither assessed directly nor are human interactions with animals and environment quantified using survey or other surrogate measures | |||
H: human domain; A: animal domain; E: environmental domain.
X: fully represented; [X] surrogate used or partially represented.
Example studies were not assessed for research team composition and are included primarily as illustrations of data reporting in the context of the three domains.
The COHERE standards.
| Item | Standard number | Recommendation |
|---|---|---|
| Introduction | ||
| Background | 1 | Review the human, animal, and environmental context of the problem and justify why a One Health study is appropriate to address the scientific question |
| Rationale | 2 | Clearly state the research aims and/or hypotheses in the context of the relationship among the three domains (human, animal and environment), or state and defend the nature of the study if it is not hypothesis-driven |
| Methods | ||
| Study design | 3 | Explain or describe the relationship/interaction (epidemiologic, biological, ecological, spatial/temporal, Provide inclusion and exclusion criteria for all domains According to study design, follow other guidance, |
| Human participants | 4 | Provide qualitative and/or quantitative description of the human population or human data, including characteristics related to inclusion or exclusion from the study, sample size (at all relevant population levels), and sample size justification, as appropriate Ensure human subject assurances adhere to the highest standards of ethics governing human subjects research |
| Animal participants | 5 | Provide qualitative and/or quantitative description of the animal population (domestic, captive exotic, or free-ranging wild), including characteristics related to inclusion or exclusion from the study, sample size (at all relevant population levels), and sample size justification Include, at minimum, the common or generic name for the species of animal or animals studied, and provide the taxonomic Ensure animal subject assurances adhere to the highest standards of ethics governing animal subjects research |
| Environment | 6 | Identify environmental (abiotic) and/or ecosystem (biotic) factors including vector characteristics Describe the type and purpose of any environmental samples or data collected Provide qualitative and/or quantitative description of the study location, including geographic locale ( |
| Measurement | 7 | If indicated, include the frequency of sampling ( Describe the relationships/interactions (epidemiologic, biological, ecological, spatial/temporal, Describe and justify testing or analysis measures used, and indicate the validity for such measurements for use among human, animal and environmental domains |
| Analysis | 8 | Identify how data among the three domains were collected Explain how any hierarchical relationships within and between domains ( If data were handled differentially among the three domains ( |
| Study team | 9 | If applicable, describe the involvement of study team members, stakeholders and community members ( Indicate how study team members representing all three domains contributed to development of the research question and study design |
| Ethics | 10 | Report animal (IACUC/ACUC) and human ethics (IRB) approvals, as well as other relevant permissions that were obtained If applicable, describe the framework for adhering to community based research standards ( |
| Results | ||
| Human participants | 11 | Report recruitment data, provide study population percentages and describe generalizability of study population to underlying population Describe demographics ( |
| Animal participants | 12 | Report study population percentages and describe generalizability of study population and study species to the underlying animal population of interest Describe demographics ( If applicable, describe animal management characteristics ( |
| Environment | 13 | Report findings from collected samples and/or measurements, including measures of heterogeneity that could impact generalizability of findings Provide descriptive statistics for all appropriate environmental/ecosystem variables If appropriate, provide geographic referencing for all samples or data submitted to public databases |
| Measurement | 14 | Identify populations, pathogens and/or vectors to the same taxonomic level across all three domains Report findings in a way that is standardized or equivalent across all three domains |
| Analysis | 15 | Provide comparative statistics, qualitative comparisons or integrated analyses among human, animal, and environmental variables, including (as appropriate) measures or descriptions of uncertainty ( Consider the potential for lack of independence or group effects that may impact statistical inference ( If indicated, provide geospatial comparisons or illustrations of spatial relationships ( |
| Discussion | ||
| Overall | 16 | Provide a comprehensive discussion that integrates the human, animal and environmental aspects of the results Indicate generalizability of findings to local, national, and/or international levels |
| Limitations | 17 | Discuss any discordance in acquisition, analysis or interpretation of data among the three domains ( Identify where methods lack validation ( Identify any methods that may not have been optimal to address research aims and suggest how future studies could overcome such limitations Comment on issues that may impact the reproducibility of the study, as appropriate Identify and discuss potential sources of bias Discuss species-specific differences that may impact the results or the interpretation of the results Identify other potential populations of humans or animals that could be involved in the problem and were not measured or addressed in the study |
| One Health Contribution | 18 | Describe how a One Health approach to the study—specifically incorporation of expertise among the disciplines and integration of findings from human, animal and environmental domains—furthered the understanding of the data/research problem If appropriate, describe lessons learned from the One Health interdisciplinary study team approach, Identify how the conclusions relate to promotion of human, animal and ecosystem health Include “One Health” as a keyword and, if appropriate, also in the title of the manuscript |
| Acknowledgment | 19 | Indicate funding source(s) and potential conflicts of interest |
Please adhere closely to STROBE or extension (e.g. STROBE-VET, STROME-ID, etc.) guidelines for reporting of observational epidemiology studies, which may impact placement of these COHERE checklist data. Where indicated, data should be placed in methods or results sections per STROBE guidance.
Please see additional discussion of definitions of biological vectors and when and how to report them as part of the animal participants or part of the environment.
The authors and working group strongly encourage collection of and consideration of additional data on human subjects as appropriate, particularly occupation/work-related exposures, socioeconomic parameters, and other community parameters.