Evidence map›Paper›PMID 35062952›Full record

ArticleMalaria journal2022

Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda.

Jaffer Okiring, Adrienne Epstein, Jane F Namuganga, Emmanuel V Kamya, Isaiah Nabende, Martha Nassali, Asadu Sserwanga, Samuel Gonahasa, Mercy Muwema, Steven M Kiwuwa and 6 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
14.6field-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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  7. Health science reports · 2026
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  8. Imported malaria predominates in near-elimination settings in Southwestern Uganda.medRxiv : the preprint server for health sciences · 2026
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  14. Polymorphism ofJournal of parasitology research · 2026
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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

16 authors at 5 institutions in 3 countries.

Jaffer OkiringClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda. okjaffer@gmail.com.ORCID http://orcid.org/0000-0003-3668-8997
Adrienne EpsteinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Jane F NamugangaInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Emmanuel V KamyaInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Isaiah NabendeInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Martha NassaliInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Asadu SserwangaInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Samuel GonahasaInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Mercy MuwemaClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Steven M KiwuwaDepartment of Child Health and Development Centre, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Sarah G StaedkeLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Moses R KamyaInfectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda.
Joaniter I NankabirwaClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Jessica BriggsDepartment of Medicine, University of California San Francisco, San Francisco, USA.
Prasanna JagannathanDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, USA.
Grant DorseyDepartment of Medicine, University of California San Francisco, San Francisco, USA.
Infectious Diseases Research Collaboration · UGUniversity of California, San Francisco · USMakerere University · UGStanford University · USUniversity of London · GB

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
Improving the accuracy of malaria surveillance with serology and parasite genetic dataK23AI166009 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jessica Briggs · 2022 to 2026
$955k
Impact of malaria control interventions on the infectious reservoir, host immunity, and drug resistance in UgandaK43TW010365 · FIC · INFECTIOUS DISEASES RES COLLABORATION · PI NANKABIRWA, JOANITER IMMACULATE · 2017 to 2021
$514k
FIC NIH HHS D43 TW010526FIC NIH HHS K43 TW010365Gates Foundation INV-017893Gates Foundation INV-023690NIAID NIH HHS K23 AI166009NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

backgroundRoutine malaria surveillance data in Africa primarily come from public health facilities reporting to national health management information systems. Although information on gender is routinely collected from patients presenting to these health facilities, stratification of malaria surveillance data by gender is rarely done. This study evaluated gender difference among patients diagnosed with parasitological confirmed malaria at public health facilities in Uganda.

methodsThis study utilized individual level patient data collected from January 2020 through April 2021 at 12 public health facilities in Uganda and cross-sectional surveys conducted in target areas around these facilities in April 2021. Associations between gender and the incidence of malaria and non-malarial visits captured at the health facilities from patients residing within the target areas were estimated using poisson regression models controlling for seasonality. Associations between gender and data on health-seeking behaviour from the cross-sectional surveys were estimated using poisson regression models controlling for seasonality.

resultsOverall, incidence of malaria diagnosed per 1000 person years was 735 among females and 449 among males (IRR = 1.72, 95% CI 1.68-1.77, p < 0.001), with larger differences among those 15-39 years (IRR = 2.46, 95% CI 2.34-2.58, p < 0.001) and over 39 years (IRR = 2.26, 95% CI 2.05-2.50, p < 0.001) compared to those under 15 years (IRR = 1.46, 95% CI 1.41-1.50, p < 0.001). Female gender was also associated with a higher incidence of visits where malaria was not suspected (IRR = 1.77, 95% CI 1.71-1.83, p < 0.001), with a similar pattern across age strata. These associations were consistent across the 12 individual health centres. From the cross-sectional surveys, females were more likely than males to report fever in the past 2 weeks and seek care at the local health centre (7.5% vs. 4.7%, p = 0.001) with these associations significant for those 15-39 years (RR = 2.49, 95% CI 1.17-5.31, p = 0.018) and over 39 years (RR = 2.56, 95% CI 1.00-6.54, p = 0.049).

conclusionsFemales disproportionately contribute to the burden of malaria diagnosed at public health facilities in Uganda, especially once they reach childbearing age. Contributing factors included more frequent visits to these facilities independent of malaria and a higher reported risk of seeking care at these facilities for febrile illnesses.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHealth FacilitiesHumansIncidenceMalariaMaleMiddle AgedSex FactorsUgandaAgeDifferencesGenderIncidenceMalariaRoutineSurveillance

Identifiers

PMID35062952
PMCPMC8778495
OpenAlexW4225773970

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.