Evidence map›Paper›PMID 33027313›Full record

ArticlePloS one2020

The relationship between facility-based malaria test positivity rate and community-based parasite prevalence.

Alice Kamau, Grace Mtanje, Christine Mataza, Lucas Malla, Philip Bejon, Robert W Snow

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Long-lasting insecticide-treated net use and malaria infections on the Kenyan coast.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2022
    Article
  6. PLOS global 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

6 authors at 1 institution in 2 countries.

Alice KamauKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-9846-5372
Grace MtanjeKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Christine MatazaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Lucas MallaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Philip BejonKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Robert W SnowKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-3725-6088
Kenya Medical Research Institute · KE

Funding

Wellcome Trust 103602Wellcome Trust 107769Wellcome Trust 203077Wellcome Trust 212176
6 · The paper itself

Abstract

introductionMalaria surveillance is a key pillar in the control of malaria in Africa. The value of using routinely collected data from health facilities to define malaria risk at community levels remains poorly defined.

methodsFour cross-sectional parasite prevalence surveys were undertaken among residents at 36 enumeration zones in Kilifi county on the Kenyan coast and temporally and spatially matched to fever surveillance at 6 health facilities serving the same communities over 12 months. The age-structured functional form of the relationship between test positivity rate (TPR) and community-based parasite prevalence (PR) was explored through the development of regression models fitted by alternating the linear, exponential and polynomial terms for PR. The predictive ranges of TPR were explored for PR endemicity risk groups of control programmatic value using cut-offs of low (PR <5%) and high (PR ≥ 30%) transmission intensity.

resultsAmong 28,134 febrile patients encountered for malaria diagnostic testing in the health facilities, 12,143 (43.2%: 95% CI: 42.6%, 43.7%) were positive. The overall community PR was 9.9% (95% CI: 9.2%, 10.7%) among 6,479 participants tested for malaria. The polynomial model was the best fitting model for the data that described the algebraic relationship between TPR and PR. In this setting, a TPR of ≥ 49% in all age groups corresponded to an age-standardized PR of ≥ 30%, while a TPR of < 40% corresponded to an age-standardized PR of < 5%.

conclusionA non-linear relationship was observed between the relative change in TPR and changes in the PR, which is likely to have important implications for malaria surveillance programs, especially at the extremes of transmission. However, larger, more spatially diverse data series using routinely collected TPR data matched to community-based infection prevalence data are required to explore the more practical implications of using TPR as a replacement for community PR.

Indexed as

AdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHealth FacilitiesHumansInfantKenyaMalariaMaleMiddle AgedModels, StatisticalPrevalencePublic Health Surveillance

Identifiers

PMID33027313
PMCPMC7540858
OpenAlexW3092523711

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.