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Strengthening field-based training in low and middle-income countries to build public health capacity: Lessons from Australia's Master of Applied Epidemiology program

Overview of attention for article published in Australian Health Review, April 2009
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62 Mendeley
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Title
Strengthening field-based training in low and middle-income countries to build public health capacity: Lessons from Australia's Master of Applied Epidemiology program
Published in
Australian Health Review, April 2009
DOI 10.1186/1743-8462-6-5
Pubmed ID
Authors

Mahomed S Patel, Christine B Phillips

Abstract

The International Health Regulations (2005) and the emergence and global spread of infectious diseases have triggered a re-assessment of how rich countries should support capacity development for communicable disease control in low and medium income countries (LMIC). In LMIC, three types of public health training have been tried: the university-based model; streamed training for specialised workers; and field-based programs. The first has low rates of production and teaching may not always be based on the needs and priorities of the host country. The second model is efficient, but does not accord the workers sufficient status to enable them to impact on policy. The third has the most potential as a capacity development measure for LMIC, but in practice faces challenges which may limit its ability to promote capacity development.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
United States 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 32%
Student > Master 9 15%
Student > Doctoral Student 5 8%
Lecturer > Senior Lecturer 4 6%
Student > Ph. D. Student 4 6%
Other 12 19%
Unknown 8 13%
Readers by discipline Count As %
Medicine and Dentistry 28 45%
Social Sciences 9 15%
Nursing and Health Professions 6 10%
Business, Management and Accounting 2 3%
Computer Science 2 3%
Other 6 10%
Unknown 9 15%