Evidence map›Paper›PMID 33004074›Full record

ArticleParasites & vectors2020

Risk factors for Aedes aegypti household pupal persistence in longitudinal entomological household surveys in urban and rural Kenya.

Harun N Ngugi, Sindiso Nyathi, Amy Krystosik, Bryson Ndenga, Joel O Mbakaya, Peter Aswani, Peter S Musunzaji, Lucy W Irungu, Donal Bisanzio, Uriel Kitron and 2 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Temporal Variation and Human Host Predominance inPathogens (Basel, Switzerland) · 2025
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  12. Article
  13. Oviposition Preferences of Aedes aegypti in Msambweni, Kwale County, Kenya.Journal of the American Mosquito Control Association · 2023
    Article
  14. Article
  15. Article
  16. 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

12 authors at 6 institutions in 3 countries.

Harun N NgugiSchool of Biological Sciences, Department of Zoology, University of Nairobi, Nairobi, Kenya.
Sindiso NyathiDepartment of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, CA, USA.
Amy KrystosikDepartment of Pediatrics, Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA, USA.
Bryson NdengaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Joel O MbakayaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Peter AswaniCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Peter S MusunzajiVector borne Disease Unit, Msambweni Hospital, Msambweni, Kenya.
Lucy W IrunguSchool of Biological Sciences, Department of Zoology, University of Nairobi, Nairobi, Kenya.
Donal BisanzioRTI International, Washington, DC, USA.
Uriel KitronDepartment of Environmental Sciences, Emory University, Atlanta, GA, USA.
A Desiree LaBeaudDepartment of Pediatrics, Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA, USA.
Francis MutukuDepartment of Environment and Health Sciences, Technical University of Mombasa, Mombasa, Kenya. fmutuku73@gmail.com.
Kenya Medical Research Institute · KEStanford University · USUniversity of Nairobi · KEEmory University · USRTI International · USTechnical University of Mombasa · KE

Funding

The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
National Institute of Health AI102918NIAID NIH HHS R01 AI102918
6 · The paper itself

Abstract

backgroundAedes aegypti is an efficient vector of several arboviruses of public health importance, including Zika and dengue. Currently vector management is the only available avenue for disease control. Development of efficient vector control strategies requires a thorough understanding of vector ecology. In this study, we identified households that are consistently productive for Ae. aegypti pupae and determined the ecological and socio-demographic factors associated with the persistence and abundance of pupae in households in rural and urban Kenya.

methodsWe collected socio-demographic, environmental and entomological data monthly from July 2014 to June 2018 from 80 households across four sites in Kenya. Pupae count data were collected via entomological surveillance of households and paired with socio-demographic and environmental data. We calculated pupal persistence within a household as the number of months of pupal presence within a year. We used spatially explicit generalized additive mixed models (GAMMs) to identify the risk factors for pupal abundance, and a logistic regression to identify the risk factors for pupal persistence in households.

resultsThe median number of months of pupal presence observed in households was 4 and ranged from 0 to 35 months. We identified pupal persistence in 85 house-years. The strongest risk factors for high pupal abundance were the presence of bushes or tall grass in the peri-domicile area (OR: 1.60, 95% CI: 1.13-2.28), open eaves (OR: 2.57, 95% CI: 1.33-4.95) and high habitat counts (OR: 1.42, 95% CI: 1.21-1.66). The main risk factors for pupal persistence were the presence of bushes or tall grass in the peri-domicile (OR: 4.20, 95% CI: 1.42-12.46) and high number of breeding sites (OR: 2.17, 95% CI: 1.03-4.58).

conclusionsWe observed Ae. aegypti pupal persistence at the household level in urban and rural and in coastal and inland Kenya. High counts of potential breeding containers, vegetation in the peri-domicile area and the presence of eaves were strongly associated with increased risk of pupal persistence and abundance. Targeting households that exhibit pupal persistence alongside the risk factors for pupal abundance in vector control interventions may result in more efficient use of limited resources.

Indexed as

AedesAnimal DistributionAnimalsEcosystemEntomologyFamily CharacteristicsFemaleHumansKenyaMaleMosquito ControlMosquito VectorsPupaRural PopulationAedes aegyptiChikungunyaDengueGAMMsPupal abundancePupal persistenceSpatial analysisVector ecologyVector surveillanceZika

Identifiers

PMID33004074
PMCPMC7528257
OpenAlexW3090313460

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.