Evidence map›Paper›PMID 38248543›Full record

ArticleInternational journal of environmental research and public health2024

Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban Nigeria.

Chilochibi Chiziba, Laina D Mercer, Ousmane Diallo, Amelia Bertozzi-Villa, Daniel J Weiss, Jaline Gerardin, Ifeoma D Ozodiegwu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
12.5field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Prevalence of malaria andParasite epidemiology and control · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

7 authors at 4 institutions in 2 countries.

Chilochibi ChizibaDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-3939-1809
Laina D MercerPATH, Seattle, WA 98121, USA.
Ousmane DialloDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA.
Amelia Bertozzi-VillaInstitute for Disease Modeling, Seattle, WA 98005, USA.
Daniel J WeissTelethon Kids Institute, Nedlands, WA 6009, Australia.ORCID 0000-0002-6175-5648
Jaline GerardinDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA.
Ifeoma D OzodiegwuDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0001-7810-414X
Northwestern University · USInstitute for Disease Modeling · USProgram for Appropriate Technology in Health · USThe Kids Research Institute Australia · AU

Funding

Gates Foundation INV-002092
6 · The paper itself

Abstract

Urban population growth in Nigeria may exceed the availability of affordable housing and basic services, resulting in living conditions conducive to vector breeding and heterogeneous malaria transmission. Understanding the link between community-level factors and urban malaria transmission informs targeted interventions. We analyzed Demographic and Health Survey Program cluster-level data, alongside geospatial covariates, to describe variations in malaria prevalence in children under 5 years of age. Univariate and multivariable models explored the relationship between malaria test positivity rates at the cluster level and community-level factors. Generally, malaria test positivity rates in urban areas are low and declining. The factors that best predicted malaria test positivity rates within a multivariable model were post-primary education, wealth quintiles, population density, access to improved housing, child fever treatment-seeking, precipitation, and enhanced vegetation index. Malaria transmission in urban areas will likely be reduced by addressing socioeconomic and environmental factors that promote exposure to disease vectors. Enhanced regional surveillance systems in Nigeria can provide detailed data to further refine our understanding of these factors in relation to malaria transmission.

Indexed as

BreedingMalariaChildChild, PreschoolEducational StatusHumansNigeriaPopulation GrowthcitiesmalariaNigeriarisk factorsurbanization

Identifiers

PMID38248543
PMCPMC10815685
OpenAlexW4390704539

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.