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1.
J Vet Med Educ ; 47(s1): 74-82, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-33074080

RESUMO

Curriculum mapping provides a systematic approach for analyzing the conformity of an educational program with a given set of standards. The Chiang Mai University Faculty of Veterinary Medicine and the University of Minnesota College of Veterinary Medicine joined together in an educational twinning project to map their Doctor of Veterinary Medicine curricula against core competencies identified by the World Organisation for Animal Health (OIE) as critically important for Day 1 veterinary graduates to meet the needs for global public good services. Details of curriculum coverage for each specific and advanced competency were collected through a review of syllabi and course descriptions, followed by in-depth interviews of key faculty members. The depth of coverage of each competency was estimated by the tabulating the number of hours assigned. The teaching methods and levels of learning were also captured. While the overall design of the curricula conformed to the OIE Guidelines for Veterinary Education Core Curricula, the mapping process identified variability in the depth and breadth of coverage on individual competencies. Coverage of the Day 1 Specific Competencies was greater early in the curricula. More gaps existed in terms of the Advanced Competencies than the specific core competencies. Discussion of the identified gaps with faculty members led to opportunities for strengthening the curricula by adjustments of individual courses throughout the curricula. Documentation of teaching methods also led to professional development of new pedagogical skills and redesign of the teaching methods for particular subjects.


Assuntos
Educação em Veterinária , Animais , Currículo , Docentes , Saúde Global , Humanos , Aprendizagem
2.
JMIR Public Health Surveill ; 4(1): e25, 2018 Mar 21.
Artigo em Inglês | MEDLINE | ID: mdl-29563079

RESUMO

BACKGROUND: Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create a novel disease surveillance system called Participatory One Health Disease Detection (PODD). PODD is a community-owned surveillance system that collects data from volunteer reporters; identifies disease outbreak automatically; and notifies the local governments (LGs), surrounding villages, and relevant authorities. This system provides a direct and immediate benefit to the communities by empowering them to protect themselves. OBJECTIVE: The objective of this study was to determine the effectiveness of the PODD system for the rapid detection and control of disease outbreaks. METHODS: The system was piloted in 74 LGs in Chiang Mai, Thailand, with the participation of 296 volunteer reporters. The volunteers and LGs were key participants in the piloting of the PODD system. Volunteers monitored animal and human diseases, as well as environmental problems, in their communities and reported these events via the PODD mobile phone app. LGs were responsible for outbreak control and provided support to the volunteers. Outcome mapping was used to evaluate the performance of the LGs and volunteers. RESULTS: LGs were categorized into one of the 3 groups based on performance: A (good), B (fair), and C (poor), with the majority (46%,34/74) categorized into group B. Volunteers were similarly categorized into 4 performance groups (A-D), again with group A showing the best performance, with the majority categorized into groups B and C. After 16 months of implementation, 1029 abnormal events had been reported and confirmed to be true reports. The majority of abnormal reports were sick or dead animals (404/1029, 39.26%), followed by zoonoses and other human diseases (129/1029, 12.54%). Many potentially devastating animal disease outbreaks were detected and successfully controlled, including 26 chicken high mortality outbreaks, 4 cattle disease outbreaks, 3 pig disease outbreaks, and 3 fish disease outbreaks. In all cases, the communities and animal authorities cooperated to apply community contingency plans to control these outbreaks, and community volunteers continued to monitor the abnormal events for 3 weeks after each outbreak was controlled. CONCLUSIONS: By design, PODD initially targeted only animal diseases that potentially could emerge into human pandemics (eg, avian influenza) and then, in response to community needs, expanded to cover human health and environmental health issues.

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