Evidence map›Paper›PMID 39595762›Full record

ArticleInternational journal of environmental research and public health2024

Geospatial Analysis of Malaria and Typhoid Prevalence Due to Waste Dumpsite Exposure in Kinshasa Districts with and Without Waste Services: A Case Study of Bandalungwa and Bumbu, Democratic Republic of Congo.

Yllah Kang Okin, Helmut Yabar, Karume Lubula Kevin, Takeshi Mizunoya, Yoshiro Higano

Abstract 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 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

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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.

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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

5 authors.

Yllah Kang OkinDegree Programs in Life and Earth Sciences, Graduate School of Science and Technology, Doctoral Program in Environmental Studies, University of Tsukuba, Tsukuba 305-8577, Japan.
Helmut YabarFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8577, Japan.ORCID 0000-0002-7665-1884
Karume Lubula KevinFaculté des Sciences, Département de Biologie, Université de Kinshasa, Kinshasa H8J5+6PX, Congo.
Takeshi MizunoyaFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8577, Japan.ORCID 0000-0003-0183-6128
Yoshiro HiganoUniversity of Tsukuba, Tsukuba 305-8577, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Municipal solid waste (MSW) management poses substantial challenges in rapidly urbanizing areas, with implications for both the environment and public health. This study focuses on the city of Kinshasa in the Democratic Republic of Congo, investigating whether the presence or absence of solid waste collection services results in varying health and economic impacts, and additionally, seeking to establish a correlation between residing in proximity to dumpsites and the prevalence of diseases like malaria and typhoid, thereby providing a comprehensive understanding of the health implications tied to waste exposure. Health data were collected through survey questionnaires, and the geospatial distribution of 19 dumpsites was analyzed using Google Earth Pro 7.3.1 for satellite imagery and GIS software 10.3.1 to map dumpsites and define 1 km buffer zones around the largest dumpsites for household sampling. Statistical analyses were conducted using R Version 4.2.3, employing Chi-square tests for disease prevalence and logistic regression to assess associations between waste management practices and health outcomes. A multivariate regression was used to evaluate correlations between discomfort symptoms (e.g., nasal and eye irritation) and waste activities. The geospatial analysis revealed significant variation in dumpsite size and location, with larger dumpsites near water bodies and flood-prone areas. The study contributes valuable insights into waste-related health risks, emphasizing the need for improved waste management policies in rapidly urbanizing areas like Kinshasa. The socio-demographic analysis reveals distinct traits within the surveyed populations of two communes, Bandalungwa (Bandal) and Bumbu. Bumbu, characterized by larger open dumpsites and limited waste collection services, exhibits a higher prevalence of certain diseases, particularly typhoid fever, and malaria. This discrepancy is statistically significant (

Indexed as

MalariaTyphoid FeverWaste Disposal FacilitiesAdolescentAdultChildChild, PreschoolDemocratic Republic of the CongoFemaleHumansInfantMaleMiddle AgedPrevalenceSpatial AnalysisWaste Managementexposure to waste dumpsitesgeospatial analysisKinshasamunicipal solid wastepublic health impacts

Identifiers

PMID39595762
PMCPMC11593939

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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.