Evidence map›Paper›PMID 28722706›Full record

ArticleScientific data2017

Sub-national mapping of population pyramids and dependency ratios in Africa and Asia.

Carla Pezzulo, Graeme M Hornby, Alessandro Sorichetta, Andrea E Gaughan, Catherine Linard, Tomas J Bird, David Kerr, Christopher T Lloyd, Andrew J Tatem

Abstract readDataset
In one paragraph

Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Carla PezzuloWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.
Graeme M HornbyWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.
Alessandro SorichettaWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.
Andrea E GaughanDepartment of Geography and Geosciences, University of Louisville, Louisville, Kentucky 40292, USA.
Catherine LinardDepartment of Geography, University of Namur, Namur B-5000, Belgium.ORCID 0000-0002-0819-7755
Tomas J BirdWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.
David KerrWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.
Christopher T LloydWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0001-7435-8230
Andrew J TatemWorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Isaac Ssewanyana · 2010 to 2026
$29.3M
NIAID NIH HHS U19 AI089674Wellcome Trust
6 · The paper itself

Abstract

The age group composition of populations varies substantially across continents and within countries, and is linked to levels of development, health status and poverty. The subnational variability in the shape of the population pyramid as well as the respective dependency ratio are reflective of the different levels of development of a country and are drivers for a country's economic prospects and health burdens. Whether measured as the ratio between those of working age and those young and old who are dependent upon them, or through separate young and old-age metrics, dependency ratios are often highly heterogeneous between and within countries. Assessments of subnational dependency ratio and age structure patterns have been undertaken for specific countries and across high income regions, but to a lesser extent across the low income regions. In the framework of the WorldPop Project, through the assembly of over 100 million records across 6,389 subnational administrative units, subnational dependency ratio and high resolution gridded age/sex group datasets were produced for 87 countries in Africa and Asia.

Indexed as

DemographyAfricaAsiaHumansSocioeconomic Factors

Identifiers

PMID28722706
PMCPMC5516541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.