- Abstract:
-
Background: Millions of Somali have been deprived of basic health services due to the unstable political situation of their country. Attempts are being made to reconstruct the health sector, in particular to estimate the extent of infectious disease burden. However, any approach that requires the use of modelled disease rates requires reasonable information on population distribution. In a low-income country such as Somalia, population data are lacking, are of poor quality, or become outda...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 1.1mb)
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- Publisher copy:
- 10.1186/1476-072X-9-45
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- Funding agency for:
- Catherine Linard
- Funding agency for:
- Andrew J. Tatem
- Publisher:
- BioMed Central Ltd. Publisher's website
- Journal:
- International Journal of Health Geographics Journal website
- Volume:
- 9
- Pages:
- Article: 45
- Publication date:
- 2010-09-05
- DOI:
- ISSN:
-
1476-072X
- URN:
-
uuid:0c59be6d-ab30-451a-9dc7-89b75997aa3e
- Local pid:
- ora:5694
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- Linard et al.
- Copyright date:
- 2010
- Notes:
- © 2010 Linard et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Journal article
A high resolution spatial population database of Somalia for disease risk mapping
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+ "Fondation Philippe Wiener - Maurine Anspach"
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+ "Bill and Melinda Gates Foundation", "Science and Technology Directorate, Department of Homeland Security", "Fogarty International Center, National Institutes of Health"
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Global Fund to Fight AIDS, Tuberculosis and Malaria
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