Evidence map›Paper›PMID 35576208›Full record

ArticlePloS one2022

Risk associations of submicroscopic malaria infection in lakeshore, plateau and highland areas of Kisumu County in western Kenya.

Wilfred Ouma Otambo, Collince J Omondi, Kevin O Ochwedo, Patrick O Onyango, Harrysone Atieli, Ming-Chieh Lee, Chloe Wang, Guofa Zhou, Andrew K Githeko, John Githure and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

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  11. Dynamics of Persistent Submicroscopic and MicroscopicOpen forum infectious diseases · 2025
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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

13 authors at 5 institutions in 2 countries.

Wilfred Ouma OtamboDepartment of Zoology, Maseno University, Kisumu, Kenya.ORCID 0000-0003-3337-1206
Collince J OmondiInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Kevin O OchwedoInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Patrick O OnyangoDepartment of Zoology, Maseno University, Kisumu, Kenya.
Harrysone AtieliInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Ming-Chieh LeeDepartment of Population Health and Disease Prevention, University of California, Irvine, CA, United States of America.ORCID 0000-0002-2462-6089
Chloe WangDepartment of Population Health and Disease Prevention, University of California, Irvine, CA, United States of America.ORCID 0000-0003-1232-3125
Guofa ZhouDepartment of Population Health and Disease Prevention, University of California, Irvine, CA, United States of America.
Andrew K GithekoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
John GithureInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Collins OumaDepartment of Biomedical Sciences and Technology, Maseno University, Kisumu, Kenya.
Guiyun YanDepartment of Population Health and Disease Prevention, University of California, Irvine, CA, United States of America.
James KazuraCentre for Global Health & Diseases, Case Western University Reserve, Cleveland, Ohio, United States of America.ORCID 0000-0002-6390-634X
Maseno University · KEUniversity of California, Irvine · USUniversity of Nairobi · KECase Western Reserve University · USKenya Medical Research Institute · KE

Funding

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 TW001505NIAID NIH HHS U19 AI129326
6 · The paper itself

Abstract

backgroundPersons with submicroscopic malaria infection are a major reservoir of gametocytes that sustain malaria transmission in sub-Saharan Africa. Despite recent decreases in the national malaria burden in Kenya due to vector control interventions, malaria transmission continues to be high in western regions of the country bordering Lake Victoria. The objective of this study was to advance knowledge of the topographical, demographic and behavioral risk factors associated with submicroscopic malaria infection in the Lake Victoria basin in Kisumu County.

methodsCross-sectional community surveys for malaria infection were undertaken in three eco-epidemiologically distinct zones in Nyakach sub-County, Kisumu. Adjacent regions were topologically characterized as lakeshore, hillside and highland plateau. Surveys were conducted during the 2019 and 2020 wet and dry seasons. Finger prick blood smears and dry blood spots (DBS) on filter paper were collected from 1,777 healthy volunteers for microscopic inspection and real time-PCR (RT-PCR) diagnosis of Plasmodium infection. Persons who were PCR positive but blood smear negative were considered to harbor submicroscopic infections. Topographical, demographic and behavioral risk factors were correlated with community prevalence of submicroscopic infections.

resultsOut of a total of 1,777 blood samples collected, 14.2% (253/1,777) were diagnosed as submicroscopic infections. Blood smear microscopy and RT-PCR, respectively, detected 3.7% (66/1,777) and 18% (319/1,777) infections. Blood smears results were exclusively positive for P. falciparum, whereas RT-PCR also detected P. malariae and P. ovale mono- and co-infections. Submicroscopic infection prevalence was associated with topographical variation (χ2 = 39.344, df = 2, p<0.0001). The highest prevalence was observed in the lakeshore zone (20.6%, n = 622) followed by the hillside (13.6%, n = 595) and highland plateau zones (7.9%, n = 560). Infection prevalence varied significantly according to season (χ2 = 17.374, df = 3, p<0.0001). The highest prevalence was observed in residents of the lakeshore zone in the 2019 dry season (29.9%, n = 167) and 2020 and 2019 rainy seasons (21.5%, n = 144 and 18.1%, n = 155, respectively). In both the rainy and dry seasons the likelihood of submicroscopic infection was higher in the lakeshore (AOR: 2.71, 95% CI = 1.85-3.95; p<0.0001) and hillside (AOR: 1.74, 95% CI = 1.17-2.61, p = 0.007) than in the highland plateau zones. Residence in the lakeshore zone (p<0.0001), male sex (p = 0.025), school age (p = 0.002), and living in mud houses (p = 0.044) increased the risk of submicroscopic malaria infection. Bed net use (p = 0.112) and occupation (p = 0.116) were not associated with submicroscopic infection prevalence.

conclusionTopographic features of the local landscape and seasonality are major correlates of submicroscopic malaria infection in the Lake Victoria area of western Kenya. Diagnostic tests more sensitive than blood smear microscopy will allow for monitoring and targeting geographic sites where additional vector interventions are needed to reduce malaria transmission.

Indexed as

MalariaMalaria, FalciparumCross-Sectional StudiesHumansKenyaMalePlasmodium falciparumPrevalenceReal-Time Polymerase Chain Reaction

Identifiers

PMID35576208
PMCPMC9109926
OpenAlexW4280609028

What OpenQuestion holds

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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.