Evidence map›Paper›PMID 34281547›Full record

ArticleBMC public health2021

Patterns of child mortality in rural area of Burkina Faso: evidence from the Nanoro health and demographic surveillance system (HDSS).

Navideh Noori, Karim Derra, Innocent Valea, Assaf P Oron, Aminata Welgo, Toussaint Rouamba, Palwende Romuald Boua, Athanase M Somé, Eli Rouamba, Edward Wenger and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Malaria diagnosis challenges andPathogens and global health · 2024
    Article
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.

Navideh Noori *Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA. nnoori@idmod.org.
Karim Derra *Institut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Innocent ValeaInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Assaf P OronInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA.
Aminata WelgoInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Toussaint RouambaInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Palwende Romuald BouaInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Athanase M SoméInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Eli RouambaInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Edward WengerInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA.
Hermann SorghoInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Halidou TintoInstitut de Recherche en Sciences de la Santé (IRSS)/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Andre Lin OuédraogoInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA.

Funding

Bill and Melinda Gates Foundation through Global Good Fund
6 · The paper itself

Abstract

backgroundHalf of global child deaths occur in sub-Saharan Africa. Understanding child mortality patterns and risk factors will help inform interventions to reduce this heavy toll. The Nanoro Health and Demographic Surveillance System (HDSS), Burkina Faso was described previously, but patterns and potential drivers of heterogeneity in child mortality in the district had not been studied. Similar studies in other districts indicated proximity to health facilities as a risk factor, usually without distinction between facility types.

methodsUsing Nanoro HDSS data from 2009 to 2013, we estimated the association between under-5 mortality and proximity to inpatient and outpatient health facilities, seasonality of death, age group, and standard demographic risk factors.

resultsLiving in homes 40-60 min and > 60 min travel time from an inpatient facility was associated with 1.52 (95% CI: 1.13-2.06) and 1.74 (95% CI: 1.27-2.40) greater hazard of under-5 mortality, respectively, than living in homes < 20 min from an inpatient facility. No such association was found for outpatient facilities. The wet season (July-November) was associated with 1.28 (95% CI: 1.07, 1.53) higher under-5 mortality than the dry season (December-June), likely reflecting the malaria season.

conclusionsOur results emphasize the importance of geographical proximity to health care, distinguish between inpatient and outpatient facilities, and also show a seasonal effect, probably driven by malaria.

Indexed as

Child MortalityMalariaBurkina FasoChildHealth FacilitiesHumansInfantTravelBurkina FasoChild mortalityChildren under 5Demographic surveillanceHDSSNanoroSpatial analysis

Identifiers

PMID34281547
PMCPMC8287796

What OpenQuestion holds

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Registered trials

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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.