Spatial accessibility to basic public health services in South Sudan

At independence in 2011, South Sudan’s health sector was almost non-existent. The first national health strategic plan aimed to achieve an integrated health facility network that would mean that 70% of the population were within 5 km of a health service provider. Publically available data on functio...

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Main Authors: Peter M. Macharia, Paul O. Ouma, Ezekiel G. Gogo, Robert W. Snow, Abdisalan M. Noor
Format: Article
Language:English
Published: PAGEPress Publications 2017-05-01
Series:Geospatial Health
Subjects:
Online Access:http://geospatialhealth.net/index.php/gh/article/view/510
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author Peter M. Macharia
Paul O. Ouma
Ezekiel G. Gogo
Robert W. Snow
Abdisalan M. Noor
author_facet Peter M. Macharia
Paul O. Ouma
Ezekiel G. Gogo
Robert W. Snow
Abdisalan M. Noor
author_sort Peter M. Macharia
collection DOAJ
description At independence in 2011, South Sudan’s health sector was almost non-existent. The first national health strategic plan aimed to achieve an integrated health facility network that would mean that 70% of the population were within 5 km of a health service provider. Publically available data on functioning and closed health facilities, population distribution, road networks, land use and elevation were used to compute the fraction of the population within 1 hour walking distance of the nearest public health facility offering curative services. This metric was summarised for each of the 78 counties in South Sudan and compared with simpler metrics of the proportion of the population within 5 km of a health facility. In 2016, it is estimated that there were 1747 public health facilities, out of which 294 were non-functional in part due to the on-going civil conflict. Access to a service provider was poor with only 25.7% of the population living within one-hour walking time to a facility and 28.6% of the population within 5 km. These metrics, when applied sub-nationally, identified the same high priority, most vulnerable counties. Simple metrics based upon population distribution and location of facilities might be as valuable as more complex models of health access, where attribute data on travel routes are imperfect or incomplete and sparse. Disparities exist in South Sudan among counties and those with the poorest health access should be targeted for priority expansion of clinical services.
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spelling doaj.art-39a3a63d924141789b006d39a89a0dd42022-12-21T22:27:15ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962017-05-0112110.4081/gh.2017.510417Spatial accessibility to basic public health services in South SudanPeter M. Macharia0Paul O. Ouma1Ezekiel G. Gogo2Robert W. Snow3Abdisalan M. Noor4Kenya Medical Research Institute/Wellcome Trust Research Programme, NairobiKenya Medical Research Institute/Wellcome Trust Research Programme, NairobiKenya Medical Research Institute/Wellcome Trust Research Programme, NairobiKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, OxfordKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, OxfordAt independence in 2011, South Sudan’s health sector was almost non-existent. The first national health strategic plan aimed to achieve an integrated health facility network that would mean that 70% of the population were within 5 km of a health service provider. Publically available data on functioning and closed health facilities, population distribution, road networks, land use and elevation were used to compute the fraction of the population within 1 hour walking distance of the nearest public health facility offering curative services. This metric was summarised for each of the 78 counties in South Sudan and compared with simpler metrics of the proportion of the population within 5 km of a health facility. In 2016, it is estimated that there were 1747 public health facilities, out of which 294 were non-functional in part due to the on-going civil conflict. Access to a service provider was poor with only 25.7% of the population living within one-hour walking time to a facility and 28.6% of the population within 5 km. These metrics, when applied sub-nationally, identified the same high priority, most vulnerable counties. Simple metrics based upon population distribution and location of facilities might be as valuable as more complex models of health access, where attribute data on travel routes are imperfect or incomplete and sparse. Disparities exist in South Sudan among counties and those with the poorest health access should be targeted for priority expansion of clinical services.http://geospatialhealth.net/index.php/gh/article/view/510South SudanHealth facilitiesSpatial accessibility
spellingShingle Peter M. Macharia
Paul O. Ouma
Ezekiel G. Gogo
Robert W. Snow
Abdisalan M. Noor
Spatial accessibility to basic public health services in South Sudan
Geospatial Health
South Sudan
Health facilities
Spatial accessibility
title Spatial accessibility to basic public health services in South Sudan
title_full Spatial accessibility to basic public health services in South Sudan
title_fullStr Spatial accessibility to basic public health services in South Sudan
title_full_unstemmed Spatial accessibility to basic public health services in South Sudan
title_short Spatial accessibility to basic public health services in South Sudan
title_sort spatial accessibility to basic public health services in south sudan
topic South Sudan
Health facilities
Spatial accessibility
url http://geospatialhealth.net/index.php/gh/article/view/510
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AT abdisalanmnoor spatialaccessibilitytobasicpublichealthservicesinsouthsudan