Evidence map›Paper›PMID 29662690›Full record

ArticleBMJ global health2018

Geographic coverage of demographic surveillance systems for characterising the drivers of childhood mortality in sub-Saharan Africa.

C Edson Utazi, Sujit K Sahu, Peter M Atkinson, Natalia Tejedor-Garavito, Christopher T Lloyd, Andrew J Tatem

Abstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

C Edson UtaziWorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK.ORCID 0000-0002-0534-5310
Sujit K SahuSouthampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK.
Peter M AtkinsonFaculty of Science and Technology, Lancaster University, Lancaster, UK.
Natalia Tejedor-GaravitoWorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK.
Christopher T LloydWorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK.ORCID 0000-0001-7435-8230
Andrew J TatemWorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK.

Funding

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

Abstract

A major focus of international health and development goals is the reduction of mortality rates in children under 5 years of age. Achieving this requires understanding the drivers of mortality and how they vary geographically to facilitate the targeting and prioritisation of appropriate interventions. Much of our knowledge on the causes of, and trends in, childhood mortality come from longitudinal demographic surveillance sites, with a renewed focus recently on the establishment and growth of networks of sites from which standardised outputs can facilitate broader understanding of processes. To ensure that the collective outputs from surveillance sites can be used to derive a comprehensive understanding and monitoring system for driving policy on tackling childhood mortality, confidence is needed that existing and planned networks of sites are providing a reliable and representative picture of the geographical variation in factors associated with mortality. Here, we assembled subnational data on childhood mortality as well as key factors known to be associated with it from household surveys in 27 sub-Saharan African countries. We then mapped the locations of existing longitudinal demographic surveillance sites to assess the extent of current coverage of the range of factors, identifying where gaps exist. The results highlight regions with unique combinations of factors associated with childhood mortality that are poorly represented by the current distribution of sites, such as southern Mali, central Nigeria and southern Zambia. Finally, we determined where the establishment of new surveillance systems could improve coverage.

Indexed as

child healthgeographic information systemshealth systems evaluation

Identifiers

PMID29662690
PMCPMC5898321

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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.