Evidence map›Paper›PMID 39609814›Full record

ArticleMalaria journal2024

Profiling vivax malaria incidence, residual transmission, and risk factors using reactive case detection in low transmission settings of Ethiopia.

Ashenafi Abossie, Hallelujah Getachew, Assalif Demissew, Kassahun Habtamu, Arega Tsegaye, Daibin Zhong, Xiaoming Wang, Teshome Degefa, Ming-Chieh Lee, Guofa Zhou and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
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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.

Ashenafi AbossieDepartment of Medical Laboratory Sciences, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. asaboet@yahoo.com.
Hallelujah GetachewSchool of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia.
Assalif DemissewDepartment of Medical Laboratory Sciences, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia.
Kassahun HabtamuMenelik II College of Health Sciences, Addis Ababa, Ethiopia.
Arega TsegayeSchool of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia.
Daibin ZhongProgram in Public Health, University of California at Irvine, Irvine, CA, 92697, USA.
Xiaoming WangProgram in Public Health, University of California at Irvine, Irvine, CA, 92697, USA.
Teshome DegefaSchool of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia.
Ming-Chieh LeeProgram in Public Health, University of California at Irvine, Irvine, CA, 92697, USA.
Guofa ZhouProgram in Public Health, University of California at Irvine, Irvine, CA, 92697, USA.
Christopher L KingCenter for Global Health and Diseases, School of Medicine, Case Western Reserve University, Cleveland, 44106 OH, USA.
James W KazuraCenter for Global Health and Diseases, School of Medicine, Case Western Reserve University, Cleveland, 44106 OH, USA.
Delenasaw Yewhalaw *School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia.
Guiyun Yan *Program in Public Health, University of California at Irvine, Irvine, CA, 92697, USA.

Funding

Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Delenasaw Yewhalaw · 2017 to 2026
$19.9M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
FIC NIH HHS D43 TW001505NCATS NIH HHS UM1 TR004528NIAID NIH HHS U19 AI129326
6 · The paper itself

Abstract

backgroundIdentification of local Plasmodium vivax transmission foci and its hidden reservoirs are crucial to eliminating residual vivax malaria transmission. This study assessed whether reactive case detection (RCD) could better identify P. vivax cases and infection incidences in Arjo-Didessa, Southwestern Ethiopia.

methodsA RCD survey was conducted from November 2019 to October 2021 in Arjo-Didessa and the surrounding vicinity in southwestern Ethiopia. RCD was performed at 0, 30, and 60 days following reports of P. vivax infections by health facilities to detect further cases and potential transmission networks. Household members of the index case and neighbours living within 200 m of the index household were screened for P. vivax. Households 200-500 m away are considered controls and were also screened for P. vivax. Plasmodium vivax was detected by microscopy, rapid diagnostic testing (RDT), and quantitative polymerase chain reaction (qPCR). Risk factors associated with vivax malaria were analysed using generalized estimating equations (GEE).

resultsA total of 3303 blood samples were collected from the index (n = 427), neighbouring (n = 1626), and control (n = 1240) household in the three rounds of follow-up visits for malaria infection, the overall positivity rate of P. vivax malaria was 1.6% (95% CI 1.2-2.2%), 1.9% (95% CI 1.5-2.4), and 3.9% (95% CI 3.2-4.6%) by microscopy, RDT, and qPCR, respectively. Microscopy and RDT detected 41.5% (54 of 130) and 49.1% (64 of 130) of the qPCR-confirmed P. vivax cases, respectively. Of qPCR-positive samples, 77.7% of the total P. vivax infections circulated in the index and neighbouring households, while control households accounted for 23.3% of the infections. Of the P. vivax infections detected 81.0% (95% CI 72.9-87.1%) were asymptomatic. In this study, P. vivax infection incidence was higher in index case households (53.8 cases per 1000 person-months) and (44.0 cases per 1000 person-months) in neighbouring households compared to the control households (25.1 cases per 1000 person-months) with statistical difference (p = 0.02). In index case households, children < 5 years and school-age children were at higher risk of P. vivax infection (AOR: 6.3, 95% CI: 2.24-18.02, p = 0.001 and AOR: 2.7, 95% CI: 1.10-6.64, p = 0.029).

conclusionsThis study found clustering of asymptomatic and sub-microscopic P. vivax infections in the index case household and their neighbours using RCD and molecular methods. Children under 5 years and of school age were more likely to have P. vivax infection in index households. Thus, tailored RCD approaches and targeted interventions for interrupting residual P. vivax transmission networks are needed to eliminate P. vivax malaria in low transmission settings.

Indexed as

Malaria, VivaxPlasmodium vivaxAdolescentAdultAgedChildChild, PreschoolEthiopiaFemaleHumansIncidenceInfantMaleMiddle AgedRisk FactorsYoung AdultClusteringEthiopiaReactive case detectionResidual malaria transmissionVivax malaria

Identifiers

PMID39609814
PMCPMC11605926

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.