Evidence map›Paper›PMID 29786689›Full record

ArticleScientific data2018

Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean.

W H M James, N Tejedor-Garavito, S E Hanspal, A Campbell-Sutton, G M Hornby, C Pezzulo, K Nilsen, A Sorichetta, C W Ruktanonchai, A Carioli and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

13 authors.

W H M JamesWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
N Tejedor-GaravitoWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.ORCID 0000-0002-1140-6263
S E HanspalWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
A Campbell-SuttonGeoData, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
G M HornbyWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
C PezzuloWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
K NilsenWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
A SorichettaWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
C W RuktanonchaiWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
A CarioliWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
D KerrWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
Z MatthewsDivision of Social Statistics and Demography & Centre for Global Health, Population, Poverty and Policy, Faculty of Social and Human Sciences, University of Southampton, Southampton SO17 1BJ, UK.
A J TatemWorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.

Funding

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

Abstract

Understanding the fine scale spatial distribution of births and pregnancies is crucial for informing planning decisions related to public health. This is especially important in lower income countries where infectious disease is a major concern for pregnant women and new-borns, as highlighted by the recent Zika virus epidemic. Despite this, the spatial detail of basic data on the numbers and distribution of births and pregnancies is often of a coarse resolution and difficult to obtain, with no co-ordination between countries and organisations to create one consistent set of subnational estimates. To begin to address this issue, under the framework of the WorldPop program, an open access archive of high resolution gridded birth and pregnancy distribution datasets for all African, Latin America and Caribbean countries has been created. Datasets were produced using the most recent and finest level census and official population estimate data available and are at a resolution of 30 arc seconds (approximately 1 km at the equator). All products are available through WorldPop.

Indexed as

Live BirthPregnancyAfricaCaribbean RegionFemaleHumansLatin AmericaMaternal HealthPregnancy Complications, InfectiousZika VirusZika Virus Infection

Identifiers

PMID29786689
PMCPMC5963337

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.