Mapping the denominator: spatial demography in the measurement of progress
Mapping the denominator: spatial demography in the measurement of progress
Measuring progress towards international health goals requires a reliable baseline from which to measure change and recent methodological advancements have advanced our abilities to measure, model and map the prevalence of health issues using sophisticated tools. The provision of burden estimates generally requires linking these estimates with spatial demographic data, but for many resource-poor countries data on total population sizes, distributions, compositions and temporal trends are lacking, prompting a reliance on uncertain estimates. Modern technologies and data archives are offering solutions, but the huge range of uncertainties that exist today in spatial denominator datasets will still be around for many years to come.
burden estimation, census, demography, health metrics, mapping, population
153-155
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
September 2014
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Tatem, A.J.
(2014)
Mapping the denominator: spatial demography in the measurement of progress.
[in special issue: Measuring Progress]
International Health, 6 (3), .
(doi:10.1093/inthealth/ihu057).
(PMID:25125576)
Abstract
Measuring progress towards international health goals requires a reliable baseline from which to measure change and recent methodological advancements have advanced our abilities to measure, model and map the prevalence of health issues using sophisticated tools. The provision of burden estimates generally requires linking these estimates with spatial demographic data, but for many resource-poor countries data on total population sizes, distributions, compositions and temporal trends are lacking, prompting a reliance on uncertain estimates. Modern technologies and data archives are offering solutions, but the huge range of uncertainties that exist today in spatial denominator datasets will still be around for many years to come.
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More information
e-pub ahead of print date: 14 August 2014
Published date: September 2014
Keywords:
burden estimation, census, demography, health metrics, mapping, population
Organisations:
Global Env Change & Earth Observation, WorldPop, Population, Health & Wellbeing (PHeW)
Identifiers
Local EPrints ID: 368070
URI: http://eprints.soton.ac.uk/id/eprint/368070
ISSN: 1876-3413
PURE UUID: b1da80b6-380c-4f9f-adbc-b7a18d056de2
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Date deposited: 10 Sep 2014 16:08
Last modified: 15 Mar 2024 03:43
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