The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A framework for One Health research
Open accessAbstract
The need for multidisciplinary research to address today's complex health and environmental challenges has never been greater. The One Health (OH) approach to research ensures that human, animal, and environmental health questions are evaluated in an integrated and holistic manner to provide a more comprehensive understanding of the problem and potential solutions than would be possible with siloed approaches. However, the OH approach is complex, and there is limited guidance available for investigators regarding the practical design and implementation of OH research. In this paper we provide a framework to guide researchers through conceptualizing and planning an OH study. We discuss key steps in designing an OH study, including conceptualization of hypotheses and study aims, identification of collaborators for a multi-disciplinary research team, study design options, data sources and collection methods, and analytical methods. We illustrate these concepts through the presentation of a case study of health impacts associated with land application of biosolids. Finally, we discuss opportunities for applying an OH approach to identify solutions to current global health issues, and the need for cross-disciplinary funding sources to foster an OH approach to research.
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Cites
Applied Multivariate Statistical Analysis.
Johnson, A. R., & Wichern, D. W. (1988) · Biometrics · doi:10.2307/2531616 · Cited by 11,353
Causal Diagrams for Epidemiologic Research
Greenland, S., Pearl, J., & Robins, J. M. (1999) · Epidemiology · doi:10.1097/00001648-199901000-00008 · Cited by 3,728
Air Pollution and Hospital Admissions for Heart Disease in Eight U.S. Counties
Schwartz, J. (1999) · Epidemiology · doi:10.1097/00001648-199901000-00005 · Cited by 3,038
Whitmee, S., Haines, A., Beyrer, C., Boltz, F., Capon, A. G., de Souza Dias, B. F., Ezeh, A., Frumkin, H., Gong, P., Head, P., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60901-1 · Cited by 2,998
(2010) · Encyclopedia of Research Design · doi:10.4135/9781412961288.n40 · Cited by 1,995
Maternal Pesticide Exposure from Multiple Sources and Selected Congenital Anomalies
Shaw, G. M., Wasserman, C. R., OʼMalley, C. D., Nelson, V., & Jackson, R. J. (1999) · Epidemiology · doi:10.1097/00001648-199901000-00011 · Cited by 1,784
Watson, K. B. (2014) · Encyclopedia of Quality of Life and Well-Being Research · doi:10.1007/978-94-007-0753-5_291 · Cited by 874
The evolution of One Health: a decade of progress and challenges for the future
Gibbs, E. P. J. (2014) · Veterinary Record · doi:10.1136/vr.g143 · Cited by 591
Gebreyes, W. A., Dupouy-Camet, J., Newport, M. J., Oliveira, C. J. B., Schlesinger, L. S., Saif, Y. M., Kariuki, S., Saif, L. J., Saville, W., Wittum, T., et al. (2014) · PLoS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0003257 · Cited by 400
Bats, Civets and the Emergence of SARS
Wang, L. F., & Eaton, B. T. (2007) · Current Topics in Microbiology and Immunology · doi:10.1007/978-3-540-70962-6_13 · Cited by 271
Cited by
The One Health Concept: 10 Years Old and a Long Road Ahead
Destoumieux-Garzón, D., Mavingui, P., Boetsch, G., Boissier, J., Darriet, F., Duboz, P., Fritsch, C., Giraudoux, P., Le Roux, F., Morand, S., et al. (2018) · Frontiers in Veterinary Science · doi:10.3389/fvets.2018.00014 · Cited by 992
Advancing Eco-Sustainable Bioremediation for Hydrocarbon Contaminants: Challenges and Solutions
Alaidaroos, B. A. (2023) · Processes · doi:10.3390/pr11103036 · Cited by 66
Metadata
- Authors
- Lebov, J., Grieger, K., Womack, D., Zaccaro, D., Whitehead, N., Kowalcyk, B., & MacDonald, P. D. M.
- Venue
- One Health
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 3
- Pages
- 44-50
- ISSN
- 2352-7714 (ISSN-L)
- OpenAlex
- W2598190019
- Cited by
- 258
- References
- 21
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lebov, J., Grieger, K., Womack, D., Zaccaro, D., Whitehead, N., Kowalcyk, B., & MacDonald, P. D. M. (2017). A framework for One Health research. One Health. https://doi.org/10.1016/j.onehlt.2017.03.004
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.