Evidence map›Paper›PMID 39609012›Full record

ArticleBMJ open2024

Baseline characteristics for phase II of the Kinshasa Malaria Cohort Study: cohort profile.

Melchior Mwandagalirwa Kashamuka, Kristin Banek, Samuel J White, Joseph Losoma Atibu, Nono M Mvuama, Joseph Alexandre Mavungu Bala, Tommy Mambulu Nseka, Georges Kihuma, Alpha Oumar Diallo, Marthe Nkalani and 12 more

Abstract read
In one paragraph

Article in BMJ open, 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

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. Challenges in Malaria Diagnosis and Treatment in Kinshasa Province, Democratic Republic of the Congo.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  2. Article
  3. 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

22 authors.

Melchior Mwandagalirwa Kashamuka *School of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo mkashamuka@yahoo.com.ORCID http://orcid.org/0000-0002-3871-1751
Kristin Banek *Institute for Global Health and Infectious Diseases, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID http://orcid.org/0000-0001-9219-2852
Samuel J WhiteInstitute for Global Health and Infectious Diseases, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Joseph Losoma AtibuSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Nono M MvuamaSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.ORCID http://orcid.org/0000-0003-2046-5836
Joseph Alexandre Mavungu BalaSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Tommy Mambulu NsekaProgramme National de Lutte Contre Paludisme, Kinshasa, Democratic Republic of Congo.
Georges KihumaSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Alpha Oumar DialloDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Marthe NkalaniSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Georges Emo MahiluSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Faustin ManengaSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Goel VarunDepartment of Geography, University of South Carolina, Columbia, South Carolina, USA.ORCID http://orcid.org/0000-0002-2933-427X
Fabien VuluDepartment of Tropical Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Pitshou Nsongo MampuyaDepartment of Tropical Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Rhoel DinglasanEmerging Pathogens Institute, Department of Infectious Diseases and Immunology, University of Florida, Gainesville, Florida, USA.ORCID http://orcid.org/0000-0001-5433-8179
Thierry BobangaDepartment of Tropical Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Michael EmchDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jonathan J JulianoDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jonathan B ParrDivision of Infectious Diseases, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Victor MwapasaGlobal and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Antoinette Kitoto TshefuSchool of Public Heath, University of Kinshasa, Kinshasa, Democratic Republic of Congo.

Funding

Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
RDT-undetectable Malaria in the DR Congo: Epidemiology and Development of AlternativesR01AI132547 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DINGLASAN, RHOEL DAVID RAMOS, JULIANO, JONATHAN J · 2018 to 2022
$3.6M
Mentoring in Translational Malaria GenomicsK24AI134990 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jonathan J Juliano · 2018 to 2026
$1.6M
A longitudinal epidemiological and epidemiological study of malaria and its vectors in the Kinshasa provinceR01AI129812 · NIAID · KINSHASA SCHOOL OF PUBLIC HEALTH · PI TSHEFU, ANTOINETTE KITOTO · 2017 to 2021
$674k
NIAID NIH HHS K24 AI134990NIAID NIH HHS R01 AI129812NIAID NIH HHS R01 AI132547NIAID NIH HHS T32 AI070114
6 · The paper itself

Abstract

purposeThe Democratic Republic of Congo has one of the highest burdens of malaria in the world, accounting for 12.3% of malaria cases and 11.6% of malaria deaths. The country has been scaling up various malaria control interventions, but how the malaria burden and risk factors have evolved remains unclear. This study aimed to estimate the trend in the burden of malaria in different settings in Kinshasa Province and assess factors contributing to the infection.

participantsFrom 2018 to 2022, a cohort study was conducted in three health areas in Kinshasa Province known to have varying malaria endemicities: Voix du Peuple (urban), Kimpoko (peri-urban), and Bu (rural) health areas in Kinshasa Province. Participants 6 months of age and older were recruited and followed biannually through household visits and encouraged to visit study health centres whenever they felt ill. The participants' sociodemographic data, illness history and access to malaria interventions were collected along with blood specimens. During the same study period, mosquitoes and larvae were collected to study entomological characteristics that may contribute to malaria transmission.

findingsA total of 1635 participants were recruited from 239 households. The median number of participants per household was 6 (IQR, 5-9). Over half (54.7%) of the participants were female, 14.6% were under-5 children, and 33.3% were 5-14 years old. Household net ownership and reported use the previous night were 77.8% and 79.1%, respectively. Overall, malaria prevalence by rapid diagnostic test at baseline was 33.4%. Of the recruited participants, 1390 (85%) completed the 4 years of follow-up. FUTURE PLANS: Planned analyses include calculating malaria prevalence and incidence trends at follow-up as well as risk factors for infection. Continued analyses will link epidemiological and entomological data to understand malaria transmission evolution and the sustained high prevalence of malaria over time in various settings.

Indexed as

MalariaAdolescentAdultAnimalsAnophelesChildChild, PreschoolCohort StudiesDemocratic Republic of the CongoFemaleHumansInfantMaleMiddle AgedPrevalenceRisk FactorsEPIDEMIOLOGYMalariaObservational Study

Identifiers

PMID39609012
PMCPMC11603822

What Socratic 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 Socratic graph.