Evidence map›Paper›PMID 31442223›Full record

ArticlePLoS neglected tropical diseases2019

Entomological assessment of dengue virus transmission risk in three urban areas of Kenya.

Sheila B Agha, David P Tchouassi, Michael J Turell, Armanda D S Bastos, Rosemary Sang

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. 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
3.3field-weighted citation impact, top 8% 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, 26 citations in OpenAlex.

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  11. Temporal Variation and Human Host Predominance inPathogens (Basel, Switzerland) · 2025
    Article
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  15. Article
  16. Global patterns of aegyptism without arbovirus.PLoS neglected tropical diseases · 2021
    Article
  17. Article
  18. 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

5 authors at 3 institutions in 3 countries.

Sheila B AghaInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.ORCID 0000-0002-5480-6865
David P TchouassiInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Michael J TurellVectorID LLC, Frederick, Maryland, United States of America.
Armanda D S BastosDepartment of Zoology and Entomology, University of Pretoria, Hatfield, South Africa.ORCID 0000-0002-9223-4204
Rosemary SangInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
International Centre of Insect Physiology and Ecology · KEUniversity of Pretoria · ZAVector (United States) · US

Funding

Epidemiological assessment of risk of Yellow Fever and Dengue outbreaks in Kenya,R01AI099736 · NIAID · INTERNATIONAL CENTRE OF INSECT PHYSIOLOG · PI SANG, ROSEMARY CHEPKORIR · 2014 to 2018
$674k
NIAID NIH HHS R01 AI099736
6 · The paper itself

Abstract

Urbanization is one of the major drivers of dengue epidemics globally. In Kenya, an intriguing pattern of urban dengue virus epidemics has been documented in which recurrent epidemics are reported from the coastal city of Mombasa, whereas no outbreaks occur in the two major inland cities of Kisumu and Nairobi. In an attempt to understand the entomological risk factors underlying the observed urban dengue epidemic pattern in Kenya, we evaluated vector density, human feeding patterns, vector genetics, and prevailing environmental temperature to establish how these may interact with one another to shape the disease transmission pattern. We determined that (i) Nairobi and Kisumu had lower vector density and human blood indices, respectively, than Mombasa, (ii) vector competence for dengue-2 virus was comparable among Ae. aegypti populations from the three cities, with no discernible association between susceptibility and vector cytochrome c oxidase subunit 1 gene variation, and (iii) vector competence was temperature-dependent. Our study suggests that lower temperature and Ae. aegypti vector density in Nairobi may be responsible for the absence of dengue outbreaks in the capital city, whereas differences in feeding behavior, but not vector competence, temperature, or vector density, contribute in part to the observed recurrent dengue epidemics in coastal Mombasa compared to Kisumu.

Indexed as

Population DensityTemperatureAedesAnimalsCitiesDengueDengue VirusDisease Transmission, InfectiousFemaleHumansKenyaMosquito VectorsRisk Assessment

Identifiers

PMID31442223
PMCPMC6728053
OpenAlexW2969885916

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.