Evidence map›Paper›PMID 29506570›Full record

ArticleParasites & vectors2018

Fine-scale spatial and temporal variation of clinical malaria incidence and associated factors in children in rural Malawi: a longitudinal study.

Alinune N Kabaghe, Michael G Chipeta, Steve Gowelo, Monicah Mburu, Zinenani Truwah, Robert S McCann, Michèle van Vugt, Martin P Grobusch, Kamija S Phiri

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  10. Malaria Temporal Variation and Modelling Using Time-Series in Sussundenga District, Mozambique.International journal of environmental research and public health · 2021
    Article
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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

9 authors at 5 institutions in 3 countries.

Alinune N KabagheCenter of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, Netherlands. akabaghe@medcol.mw.
Michael G ChipetaSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Steve GoweloSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Monicah MburuSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Zinenani TruwahManagement Sciences for Health - Malawi Program, EBC Building, Off Paul Kagame Road, Private Bag 398, Lilongwe 3, Malawi.
Robert S McCannSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Michèle van VugtCenter of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, Netherlands.
Martin P GrobuschCenter of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, Netherlands.
Kamija S PhiriSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
University of Malawi · MWUniversity of Amsterdam · NLWageningen University & Research · NLAcademic Medical Center · NLPublic Health Institute of Malawi · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatio-temporal variations in malaria burden are currently complex and costly to measure, but are important for decision-making. We measured the spatio-temporal variation of clinical malaria incidence at a fine scale in a cohort of children under five in an endemic area in rural Chikhwawa, Malawi, determined associated factors, and monitored adult mosquito abundance.

methodsWe followed-up 285 children aged 6-48 months with recorded geolocations, who were sampled in a rolling malaria indicator survey, for one year (2015-2016). Guardians were requested to take the children to a nearby health facility whenever ill, where health facility personnel were trained to record malaria test results and temperature on the child's sick-visit card; artemisinin-based combination therapy was provided if indicated. The cards were collected and replaced 2-monthly. Adult mosquitoes were collected from 2-monthly household surveys using a Suna trap. The head/thorax of adult Anopheles females were tested for presence of Plasmodium DNA. Binomial logistic regression and geospatial modelling were performed to determine predictors of and to spatially predict clinical malaria incidence, respectively.

resultsTwo hundred eighty two children, with complete results, and 267.8 child-years follow-up time were included in the analysis. The incidence rate of clinical malaria was 1.2 cases per child-year at risk; 57.1% of the children had at least one clinical malaria case during follow-up. Geographical groups of households where children experienced repeated malaria infections overlapped with high mosquito densities and high entomological inoculation rate locations.

conclusionsRepeated malaria infections within household groups account for the majority of cases and signify uneven distribution of malaria risk within a small geographical area.

Indexed as

Rural PopulationSpatio-Temporal AnalysisAdultChild, PreschoolDNA, ProtozoanEpidemiological MonitoringFamily CharacteristicsFemaleHumansIncidenceInfantLogistic ModelsLongitudinal StudiesMalariaMalaria, FalciparumMalawiDNA, ProtozoanEntomological surveillanceIncidence rateMalariaSpatio-temporal heterogeneity

Identifiers

PMID29506570
PMCPMC5839004
OpenAlexW2791718611

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.