Evidence map›Paper›PMID 41361754›Full record

ArticleMalaria journal2025

Human and vector behavioural determinants of malaria transmission in the Nandi highlands, western Kenya.

Maxwell G Machani, Anoop Sunkara, Shehu S Awandu, Maurice Ombok, Amos Ouko, Lucy Abel, Lindsey B Turnbull, Isabella Rodriguez, Joseph Kim, Joseph C Clemens and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maxwell G MachaniEntomology Department, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya. machani.maxwe2011@gmail.com.
Anoop SunkaraEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
Shehu S AwanduDepartment of Biological Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
Maurice OmbokEntomology Department, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Amos OukoDepartment of Biological Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
Lucy AbelDepartment of Biological Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
Lindsey B TurnbullRyan White Center for Pediatric Infectious Diseases & Global Health, Indiana University School of Medicine, Indianapolis, USA.
Isabella RodriguezEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
Joseph KimEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
Joseph C ClemensEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
George AyodoCenter for Community Health and Wellbeing, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
Eric O OchomoEntomology Department, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Chandy C JohnRyan White Center for Pediatric Infectious Diseases & Global Health, Indiana University School of Medicine, Indianapolis, USA.
Neil F LoboEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria transmission, characterized by spatial and temporal heterogeneity and complex vector behaviours, persists in Kenya's highlands despite widespread use of long-lasting insecticidal nets (LLINs). The role of human activity in exposure risk remains underexplored. Identifying vulnerable times and locations is crucial for designing and optimizing targeted control strategies that address the intricate interplay between human activity and local vector behaviour that results in transmission. This study examined human-mosquito interactions in three different ecological settings in Nandi highlands in western Kenya.

methodsMalaria vector biting rates were monitored both indoors and outdoors from 18:00 to 06:00 over five consecutive nights in ten houses per village in three different ecological settings namely site close to the forest (Kipsamoite), neutral site neither close to forest nor swamp (Kebulonik), site close to the swamp and with past high malaria prevalence (Kapsisywa) using human landing catches (HLC) during the long (May 2018) and short (October 2018) rainy seasons. Concurrently, hourly human behaviour observations (HBOs) were conducted to assess indoor versus outdoor presence, sleeping patterns and LLINs use. All Anopheles mosquitoes were first identified morphologically using standard anopheline keys and subsequently confirmed to species level through molecular sequencing of the internal transcribed spacer 2 (ITS2) region and cytochrome c oxidase subunit 1 (CO1) gene.

resultsHigh Anopheles species diversity was observed, with site-specific dominance: Anopheles arabiensis in Kipsamoite, Anopheles christyi in Kebulonik, and the novel Anopheles spp. 14 BSL-2014 in multiple sites. The majority of specimens were collected indoors in Kipsamoite (67%) and Kebulonik (52.9%), while most specimen were collected outdoors in Kapsisywa (58.3%) were outdoors. Mosquito exposure peaked outdoors in the early evening (1800-2100 h) and indoors during the first half of the night (1900-0100 h), coinciding with periods when people were awake or transitioning to or from sleep, with low LLIN use. Human behaviour-adjusted exposure was highest outdoors in the early evening (1800-2100 h) and indoors during the first half of the night (1900-0100 h). Overall, most exposure occurred indoors for unprotected sleepers and individuals awake (53-55%), followed by outdoor exposure in the early evening and late morning (16-44%). LLINs prevented 24.5% (long rains) and 44.9% (short rains) of bites in Kipsamoite, 24.6 to 37% in Kebulonik, and 35.8% in Kapsisywa (short rains).

conclusionThis study demonstrates that human exposure to malaria vectors is shaped by the interplay between temporal and spatial human and vector behaviours, with the highest biting rates indoors for unprotected sleepers and awake individuals, and outdoor exposure peaking in the early evening and late morning. It also reveals diverse, behaviourally adaptable vector populations, including cryptic species, sustaining indoor and outdoor transmission. While LLINs use provide partial protection, significant gaps in protection remained during periods and in spaces where nets are not effective, highlighting persistent residual transmission and the need for vector characterization, behaviour-informed interventions (e.g., spatial repellents and larviciding), community engagement, and strengthened entomological surveillance to guide effective malaria control.

Indexed as

AnophelesMalariaMosquito VectorsAnimalsFemaleHumansInsecticide-Treated BednetsKenyaMosquito Control

Identifiers

PMID41361754
PMCPMC12683834

What OpenQuestion 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 OpenQuestion graph.