Evidence map›Paper›PMID 32660434›Full record

ArticleBMC infectious diseases2020

The age-specific incidence of hospitalized paediatric malaria in Uganda.

Arthur Mpimbaza, Richard Walemwa, James Kapisi, Asadu Sserwanga, Jane Frances Namuganga, Yasin Kisambira, Abner Tagoola, Jane Frances Nanteza, Damain Rutazaana, Sarah G Staedke and 4 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

14 authors.

Arthur MpimbazaChild Health and Development Centre, College of Health Sciences, Makerere University, Kampala, Uganda. arthurwakg@yahoo.com.ORCID http://orcid.org/0000-0001-9524-526X
Richard WalemwaDepartment of Prevention, Care and Treatment, Infectious Diseases Institute, Kampala, Uganda.
James KapisiInfectious Diseases Research Collaboration, Kampala, Uganda.
Asadu SserwangaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jane Frances NamugangaInfectious Diseases Research Collaboration, Kampala, Uganda.
Yasin KisambiraInfectious Diseases Research Collaboration, Kampala, Uganda.
Abner TagoolaJinja Regional Referral, Hospital, Republic of Uganda Ministry of Health, Jinja, Uganda.
Jane Frances NantezaMubende Regional Referral, Hospital, Republic of Uganda Ministry of Health, Mubende, Uganda.
Damain RutazaanaNational Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda.
Sarah G StaedkeLondon School of Hygiene and Tropical Medicine, London, UK.
Grant DorseyDepartment of Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Jimmy OpigoNational Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda.
Alice KamauPopulation Health Unit, Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.
Robert W SnowPopulation Health Unit, Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.

Funding

CDC HHS 5NU2GGH001744-02-00EPA EP-C-15-003Wellcome TrustWellcome Trust 107769Wellcome Trust 203077
6 · The paper itself

Abstract

backgroundUnderstanding the relationship between malaria infection risk and disease outcomes represents a fundamental component of morbidity and mortality burden estimations. Contemporary data on severe malaria risks among populations of different parasite exposures are scarce. Using surveillance data, we compared rates of paediatric malaria hospitalisation in areas of varying parasite exposure levels.

methodsSurveillance data at five public hospitals; Jinja, Mubende, Kabale, Tororo, and Apac were assembled among admissions aged 1 month to 14 years between 2017 and 2018. The address of each admission was used to define a local catchment population where national census data was used to define person-year-exposure to risk. Within each catchment, historical infection prevalence was assembled from previously published data and current infection prevalence defined using 33 population-based school surveys among 3400 children. Poisson regression was used to compute the overall and site-specific incidences with 95% confidence intervals.

resultsBoth current and historical Plasmodium falciparum prevalence varied across the five sites. Current prevalence ranged from < 1% in Kabale to 54% in Apac. Overall, the malaria admission incidence rate (IR) was 7.3 per 1000 person years among children aged 1 month to 14 years of age (95% CI: 7.0, 7.7). The lowest rate was described at Kabale (IR = 0.3; 95 CI: 0.1, 0.6) and highest at Apac (IR = 20.3; 95 CI: 18.9, 21.8). There was a correlation between IR across the five sites and the current parasite prevalence in school children, though findings were not statistically significant. Across all sites, except Kabale, malaria admissions were concentrated among young children, 74% were under 5 years. The median age of malaria admissions at Kabale hospital was 40 months (IQR 20, 72), and at Apac hospital was 36 months (IQR 18, 69). Overall, severe anaemia (7.6%) was the most common presentation and unconsciousness (1.8%) the least common.

conclusionMalaria hospitalisation rates remain high in Uganda particularly among young children. The incidence of hospitalized malaria in different locations in Uganda appears to be influenced by past parasite exposure, immune acquisition, and current risks of infection. Interruption of transmission through vector control could influence age-specific severe malaria risk.

Indexed as

HospitalizationHospitals, PediatricAdolescentAge FactorsAnemiaChildChild, PreschoolFemaleHospitals, PublicHumansIncidenceInfantMalariaMaleMorbidityPlasmodium falciparumAgeHospitalizedIncidenceMalariaUganda

Identifiers

PMID32660434
PMCPMC7359223

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LicenceCC BY
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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.