Evidence map›Paper›PMID 30668609›Full record

ArticlePloS one2019

Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa.

Zehang Li, Yuan Hsiao, Jessica Godwin, Bryan D Martin, Jon Wakefield, Samuel J Clark, with support from the United Nations Inter-agency Group for Child Mortality Estimation and its technical advisory group

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
14.2field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 68 citations in OpenAlex.

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  10. Smoothed model-assisted small area estimation of proportions.The Canadian journal of statistics = Revue canadienne de statistique · 2024
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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

7 authors at 3 institutions in 2 countries.

Zehang LiDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0001-9551-9638
Yuan HsiaoDepartment of Statistics, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-8342-4938
Jessica GodwinDepartment of Statistics, University of Washington, Seattle, Washington, United States of America.
Bryan D MartinDepartment of Statistics, University of Washington, Seattle, Washington, United States of America.
Jon WakefieldDepartment of Statistics, University of Washington, Seattle, Washington, United States of America.
Samuel J ClarkDepartment of Sociology, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0002-4929-6231
with support from the United Nations Inter-agency Group for Child Mortality Estimation and its technical advisory group
University of Washington · USUniversity of the Witwatersrand · ZAYale University · US

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Verbal Autopsy: Reimagining Data & Automated Cause Assignment (using ALPHA Network data)R01HD086227 · NICHD · OHIO STATE UNIVERSITY · PI CLARK, SAMUEL J · 2016 to 2021
$2.4M
Population Research TrainingT32HD007543 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$2.3M
SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONSR01CA095994 · NCI · UNIVERSITY OF WASHINGTON · PI WAKEFIELD, JONATHAN C · 2005 to 2017
$1.6M
NCI NIH HHS R01 CA095994NIAID NIH HHS R01 AI029168NICHD NIH HHS P2C HD042828NICHD NIH HHS R01 HD086227NICHD NIH HHS T32 HD007543
6 · The paper itself

Abstract

The under-five mortality rate (U5MR) is a critical and widely available population health indicator. Both the MDGs and SDGs define targets for improvement in the U5MR, and the SDGs require spatial disaggregation of indicators. We estimate trends in the U5MR for Admin-1 subnational areas using 122 DHS surveys in 35 countries in Africa and assess progress toward the MDG target reductions for each subnational region and each country as a whole. In each country, direct weighted estimates of the U5MR from each survey are calculated and combined into a single estimate for each Admin-1 region across five-year periods. Our method fully accounts for the sample design of each survey. The region-time-specific estimates are smoothed using a Bayesian, space-time model that produces more precise estimates (when compared to the direct estimates) at a one-year scale that are consistent with each other in both space and time. The resulting estimated distributions of the U5MR are summarized and used to assess subnational progress toward the MDG 4 target of two-thirds reduction in the U5MR during 1990-2015. Our space-time modeling approach is tractable and can be readily applied to a large collection of sample survey data. Subnational, regional spatial heterogeneity in the levels and trends in the U5MR vary considerably across Africa. There is no generalizable pattern between spatial heterogeneity and levels or trends in the U5MR. Subnational, small-area estimates of the U5MR: (i) identify subnational regions where interventions are still necessary and those where improvement is well under way; and (ii) countries where there is very little spatial variation and others where there are important differences between subregions in both levels and trends. More work is necessary to improve both the data sources and methods necessary to adequately measure subnational progress toward the SDG child survival targets.

Indexed as

Small-Area AnalysisAdolescentAdultAfricaBayes TheoremChildChild MortalityChild, PreschoolDeveloping CountriesFemaleGlobal HealthHumansInfantInfant MortalityInfant, NewbornMale

Identifiers

PMID30668609
PMCPMC6342310
OpenAlexW2914642540

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.