- Abstract:
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Background: Precise quantification of health service utilisation is important for the estimation of disease burden and allocation of health resources. Current approaches to mapping health facility utilisation rely on spatial accessibility alone as the predictor. However, other spatially varying social, demographic and economic factors may affect the use of health services. The exclusion of these factors can lead to the inaccurate estimation of health facility utilisation. Here, we ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Version of record
- Files:
-
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(pdf, 1.3MB)
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- Publisher copy:
- 10.1186/s12942-017-0107-7
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- Publisher:
- BioMed Central Publisher's website
- Journal:
- International Journal of Health Geographics Journal website
- Volume:
- 16
- Issue:
- 34
- Publication date:
- 2017-09-18
- Acceptance date:
- 2017-09-11
- DOI:
- EISSN:
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1476-072X
- ISSN:
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1476-072X
- Pubs id:
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pubs:729296
- URN:
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uri:018370bf-8b31-41b1-a0fc-682c3213ecfe
- UUID:
-
uuid:018370bf-8b31-41b1-a0fc-682c3213ecfe
- Local pid:
- pubs:729296
- Keywords:
- Copyright holder:
- Ouma et al.
- Copyright date:
- 2017
- Notes:
-
© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/
publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Journal article
Univariate and multivariate spatial models of health facility utilisation for childhood fevers in an area on the coast of Kenya
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