Evidence map›Paper›PMID 41284658›Full record

ArticlePLoS neglected tropical diseases2025

Risk factors associated with dengue and chikungunya seroprevalence and seroconversion among urban populations in western and coastal Kenya.

Bethel Alebel Bayrau, Caroline Ichura, Amna Tariq, Christabel Achieng Winter, Jael Sagina Amugongo, Victoria Atieno Okuta, Laura Wanjala Mwambingu, Kevin Onyango Ogamba, Karren Nyumbile Shaita, Charles Ochieng Ronga and 12 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

22 authors.

Bethel Alebel BayrauDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.ORCID 0009-0006-2848-8783
Caroline IchuraDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.
Amna TariqDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.
Christabel Achieng WinterCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Jael Sagina AmugongoVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Victoria Atieno OkutaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Laura Wanjala MwambinguCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Kevin Onyango OgambaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Karren Nyumbile ShaitaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Charles Ochieng RongaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Philip ChebiiVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Said Lipi MalumboVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Omar Katana GodanaVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Zainabu Jawa JembeVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Charles M Ng'ang'aVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Mwangosho Mazera MshahameVector-Borne Diseases Unit, Msambweni County Referral Hospital, Msambweni, Kwale, Kenya.
Esra BuyukcangazDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.
Eleonora MiglioreDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.
Donal BisanzioRTI International, Washington, District of Columbia, United States of America.
Bryson NdengaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Francis MutukuDepartment of Environment and Health Sciences, Technical University of Mombasa, Mombasa, Kenya.
Angelle Desiree LaBeaudDepartment of Pediatrics, Stanford School of Medicine, Stanford, California, United States of America.

Funding

The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
NIAID NIH HHS R01 AI102918
6 · The paper itself

Abstract

backgroundDengue virus (DENV) and chikungunya virus (CHIKV) are arboviruses that are endemic to Kenya. Most DENV infections are asymptomatic resulting in underreporting of cases and symptomatic cases are often misdiagnosed as malaria. Past studies focusing on arboviruses in Kenya are mostly limited to outbreak periods, leaving a gap in knowledge about inter-epidemic arboviral prevalence and associated risk factors. In this study, we aim to determine the risk factors for seroprevalence of and seroconversion to DENV and CHIKV among urban populations in two sites in Kenya. METHODOLOGY/PRINCIPAL

findingsIn this prospective cohort study, 4,529 participants were recruited by household from two urban sites in Kenya: Kisumu in the west and Ukunda in the coast. Participants were followed from December 2019 until February 2022 at 6-month intervals. Questionnaire data and blood samples were collected for demographic and serologic data, respectively. If a participant had a febrile illness during the study, they were registered for a sick visit, treated and blood samples were taken to test for acute DENV or CHIKV infection by RT-PCR. Our results showed a 22.8% (1,033/4529) seropositivity rate for DENV and a 21.4% (969/4,529) seropositivity rate for CHIKV; 9% (409/4529) were found to be seropositive for both. DENV and CHIKV seropositivity was more common on the coast (43.9% vs. 6% with p < 0.01for DENV, 22.6% vs. 20.5% with p = 0.09 for CHIKV) than in the west and among adults than children (30.8% vs 11.5% with p < 0.01 for DENV, 32.4% vs 5.9% with p < 0.01 for CHIKV). Of the total participants, 4% (183/4529) and 3% (136/4529) seroconverted for DENV and CHIKV, respectively, during the 2-year study period. In our multivariate analysis, controlling for variables in a stepwise selection, being from the coastal site and of older age were the main risk factors for DENV seropositivity while being from the coastal site, having greater levels of education, and crowding in the household were significant risk factors for CHIKV seropositivity. In those participants who were newly exposed to these viruses during the study period, being from the coastal site, high socioeconomic status (SES), and not having window screens in the household were the significant risk factors for both DENV and CHIKV seroconversion. CONCLUSIONS/SIGNIFICANCE: Our results show significant DENV and CHIKV seropositivity among adults and children in urban western and coastal Kenya and evidence of active circulation of both DENV and CHIKV between 2019 and 2022. There were higher rates of seropositivity and active circulation on the coast where past outbreaks have occurred. Although lower education and socioeconomic status (SES) were reported as risk factors for arboviral infections in the past, we found more risk of seropositivity among individuals with higher SES and education, demonstrating the community-wide risk of seropositivity in urban settings. Our findings highlight the need for active surveillance of arboviruses and interventions in Kenya, especially on the coast.

Indexed as

Chikungunya FeverDengueAdolescentAdultAgedAntibodies, ViralChikungunya virusChildChild, PreschoolDengue VirusFemaleHumansKenyaMaleMiddle AgedProspective StudiesAntibodies, Viral

Identifiers

PMID41284658
PMCPMC12747438

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.