Evidence map›Paper›PMID 38438933›Full record

ArticleMalaria journal2024

Early morning anopheline mosquito biting, a potential driver of malaria transmission in Busia County, western Kenya.

Julius I Odero, Bernard Abong'o, Vincent Moshi, Sheila Ekodir, Steven A Harvey, Eric Ochomo, John E Gimnig, Nicole L Achee, John P Grieco, Prisca A Oria and 1 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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  9. Estimating mosquito bionomics parameters with a hierarchical Bayesian model.Current research in parasitology & vector-borne diseases · 2026
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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

11 authors.

Julius I OderoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya. ichodoodero@gmail.com.
Bernard Abong'oCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Vincent MoshiCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Sheila EkodirCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Steven A HarveyJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Eric OchomoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
John E GimnigDivision of Parasitic Diseases and Malaria, Centers for Disease Control (CDC) and Prevention, Atlanta, GA, USA.
Nicole L AcheeDepartment of Biological Sciences, University of Notre Dame, Eck Institute for Global Health, Notre Dame, IN, USA.
John P GriecoDepartment of Biological Sciences, University of Notre Dame, Eck Institute for Global Health, Notre Dame, IN, USA.
Prisca A OriaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
April MonroeJohns Hopkins Center for Communication Programs, Baltimore, MD, USA.

Funding

Unitaid 2018-29-UND
6 · The paper itself

Abstract

backgroundInsecticide-treated nets (ITNs) contributed significantly to the decline in malaria since 2000. Their protective efficacy depends not only on access, use, and net integrity, but also location of people within the home environment and mosquito biting profiles. Anopheline mosquito biting and human location data were integrated to identify potential gaps in protection and better understand malaria transmission dynamics in Busia County, western Kenya.

methodsDirect observation of human activities and human landing catches (HLC) were performed hourly between 1700 to 0700 h. Household members were recorded as home or away; and, if at home, as indoors/outdoors, awake/asleep, and under a net or not. Aggregated data was analysed by weighting hourly anopheline biting activity with human location. Standard indicators of human-vector interaction were calculated using a Microsoft Excel template.

resultsThere was no significant difference between indoor and outdoor biting for Anopheles gambiae sensu lato (s.l.) (RR = 0.82; 95% CI 0.65-1.03); significantly fewer Anopheles funestus were captured outdoors than indoors (RR = 0.41; 95% CI 0.25-0.66). Biting peaked before dawn and extended into early morning hours when people began to awake and perform routine activities, between 0400-0700 h for An. gambiae and 0300-0700 h for An. funestus. The study population away from home peaked at 1700-1800 h (58%), gradually decreased and remained constant at 10% throughout the night, before rising again to 40% by 0600-0700 h. When accounting for resident location, nearly all bites within the peri-domestic space (defined as inside household structures and surrounding outdoor spaces) occurred indoors for unprotected people (98%). Using an ITN while sleeping was estimated to prevent 79% and 82% of bites for An. gambiae and An. funestus, respectively. For an ITN user, most remaining exposure to bites occurred indoors in the hours before bed and early morning.

conclusionWhile use of an ITN was estimated to prevent most vector bites in this context, results suggest gaps in protection, particularly in the early hours of the morning when biting peaks and many people are awake and active. Assessment of additional human exposure points, including outside of the peri-domestic setting, are needed to guide supplementary interventions for transmission reduction.

Indexed as

AnophelesInsecticidesMalariaAnimalsHumansKenyaMosquito VectorsInsecticidesAnophelesHuman behaviorInsecticide Treated Nets (ITNs)MalariaNight-time observation

Identifiers

PMID38438933
PMCPMC10910777

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.