Evidence map›Paper›PMID 34628501›Full record

ArticleThe Journal of infectious diseases2022

Spatial Distribution of Plasmodium falciparum and Plasmodium vivax in Northern Ethiopia by Microscopic, Rapid Diagnostic Test, Laboratory Antibody, and Antigen Data.

Colleen M Leonard, Ashenafi Assefa, Heven Sime, Hussein Mohammed, Amha Kebede, Hiwot Solomon, Chris Drakeley, Matt Murphy, Jimee Hwang, Eric Rogier

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Using Serological Markers for the Surveillance ofPathogens (Basel, Switzerland) · 2023
    Article
  5. 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

10 authors at 6 institutions in 3 countries.

Colleen M LeonardMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ashenafi AssefaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Heven SimeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Hussein MohammedEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Amha KebedeAfrican Society for Laboratory Medicine, Addis Ababa, Ethiopia.
Hiwot SolomonEthiopian Federal Ministry of Health, Addis Ababa, Ethiopia.
Chris DrakeleyDepartment of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Matt MurphyMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Jimee HwangMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Eric RogierMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-7375-8304
Centers for Disease Control and Prevention · USEthiopian Public Health Institute · ETAfrican Society for Laboratory Medicine · ETGovernment of Ethiopia · ETLondon School of Hygiene & Tropical Medicine · GBUniversity of North Carolina at Chapel Hill · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundDetermining malaria transmission within regions of low, heterogenous prevalence is difficult. A variety of malaria tests exist and range from identification of diagnostic infection to testing for prior exposure. This study describes the concordance of multiple malaria tests using data from a 2015 household survey conducted in Ethiopia.

methodsBlood samples (n=2279) from 3 regions in northern Ethiopia were assessed for Plasmodium falciparum and Plasmodium vivax by means of microscopy, rapid diagnostic test, multiplex antigen assay, and multiplex assay for immunoglobulin G (IgG) antibodies. Geospatial analysis was conducted with spatial scan statistics and kernel density estimation to identify malaria hot spots by different test results.

resultsThe prevalence of malaria infection was low (1.4% by rapid diagnostic test, 1.0% by microscopy, and 1.8% by laboratory antigen assay). For P. falciparum, overlapping spatial clusters for all tests and an additional 5 unique IgG clusters were identified. For P. vivax, clusters identified with bead antigen assay, microscopy, and IgG partially overlapped.

conclusionsAssessing the spatial distribution of malaria exposure using multiple metrics can improve the understanding of malaria transmission dynamics in a region. The relative abundance of antibody clusters indicates that in areas of low transmission, IgG antibodies are a more useful marker to assess malaria exposure.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxDiagnostic Tests, RoutineEthiopiaHumansImmunoglobulin GPlasmodium falciparumPlasmodium vivaxPrevalenceImmunoglobulin GantibodiesEthiopiageospatial analysisGISinfection testPlasmodium falciparumPlasmodium vivax

Identifiers

PMID34628501
PMCPMC8891072
OpenAlexW3207152542

What OpenQuestion holds

Textmetadata
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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.