The University of Southampton
University of Southampton Institutional Repository

Improving imperfect data from health management information systems in Africa using space-time geostatistics

Gething, Pete, Noor, Abdisalan and Nixon, Mark (2006) Improving imperfect data from health management information systems in Africa using space-time geostatistics PLoS Medicine, 3, (6), pp. 825-831.

Record type: Article


Reliable and timely information on disease-specific treatment burdens within a health system is critical for the planning and monitoring of service provision. Health management information systems (HMIS) exist to address this need at national scales across Africa but are failing to deliver adequate data because of widespread underreporting by health facilities. Faced with this inadequacy, vital public health decisions often rely on crudely adjusted regional and national estimates of treatment burdens. Methods and Findings This study has taken the example of presumed malaria in outpatients within the largely incomplete Kenyan HMIS database and has defined a geostatistical modelling framework that can predict values for all data that are missing through space and time. The resulting complete set can then be used to define treatment burdens for presumed malaria at any level of spatial and temporal aggregation. Validation of the model has shown that these burdens are quantified to an acceptable level of accuracy at the district, provincial, and national scale. Conclusions The modelling framework presented here provides, to our knowledge for the first time, reliable information from imperfect HMIS data to support evidence- based decision-making at national and sub-national levels.

PDF gething_plos_medicine.pdf - Other
Download (1MB)

More information

Published date: 2006
Organisations: Southampton Wireless Group


Local EPrints ID: 263944
ISSN: 1549-1277
PURE UUID: be2cd6ba-400e-4bfa-b843-b254bd743d13

Catalogue record

Date deposited: 27 Apr 2007
Last modified: 18 Jul 2017 07:40

Export record


Author: Pete Gething
Author: Abdisalan Noor
Author: Mark Nixon

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.