Evidence map›Paper›PMID 34493321›Full record

ArticleParasites & vectors2021

Household-level risk factors for Aedes aegypti pupal density in Guayaquil, Ecuador.

Thien-An Ha, Tomás M León, Karina Lalangui, Patricio Ponce, John M Marshall, Varsovia Cevallos

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Thien-An HaSchool of Public Health, University of California, Berkeley, USA. thienanha@berkeley.edu.
Tomás M LeónSchool of Public Health, University of California, Berkeley, USA.
Karina LalanguiCentro de Investigación en Vectores Artrópodos, Instituto Nacional de Investigación en Salud Pública "Dr. Leopoldo Izquieta Pérez", Quito, Ecuador.
Patricio PonceCentro de Investigación en Vectores Artrópodos, Instituto Nacional de Investigación en Salud Pública "Dr. Leopoldo Izquieta Pérez", Quito, Ecuador.
John M MarshallSchool of Public Health, University of California, Berkeley, USA.
Varsovia CevallosCentro de Investigación en Vectores Artrópodos, Instituto Nacional de Investigación en Salud Pública "Dr. Leopoldo Izquieta Pérez", Quito, Ecuador.
Instituto Nacional de Investigación en Salud Pública · ECUniversity of California, Berkeley · US

Funding

Secretaría de Educación Superior, Ciencia, Tecnología e Innovación PIC-12-INH-002
6 · The paper itself

Abstract

backgroundVector-borne diseases are a major cause of disease burden in Guayaquil, Ecuador, especially arboviruses spread by Aedes aegypti mosquitoes. Understanding which household characteristics and risk factors lead to higher Ae. aegypti densities and consequent disease risk can help inform and optimize vector control programs.

methodsCross-sectional entomological surveys were conducted in Guayaquil between 2013 and 2016, covering household demographics, municipal services, potential breeding containers, presence of Ae. aegypti larvae and pupae, and history of using mosquito control methods. A zero-truncated negative binomial regression model was fitted to data for estimating the household pupal index. An additional model assessed the factors of the most productive breeding sites across all of the households.

resultsOf surveyed households, 610 satisfied inclusion criteria. The final household-level model found that collection of large solid items (e.g., furniture and tires) and rainfall the week of and 2 weeks before collection were negatively correlated with average pupae per container, while bed canopy use, unemployment, container water volume, and the interaction between large solid collection and rainfall 2 weeks before the sampling event were positively correlated. Selection of these variables across other top candidate models with ∆AICc < 1 was robust, with the strongest effects from large solid collection and bed canopy use. The final container-level model explaining the characteristics of breeding sites found that contaminated water is positively correlated with Ae. aegypti pupae counts while breeding sites composed of car parts, furniture, sewerage parts, vases, were all negatively correlated.

conclusionsHaving access to municipal services like bulky item pickup was effective at reducing mosquito proliferation in households. Association of bed canopy use with higher mosquito densities is unexpected, and may be a consequence of large local mosquito populations or due to limited use or effectiveness of other vector control methods. The impact of rainfall on mosquito density is multifaceted, as it may both create new habitat and "wash out" existing habitat. Providing services and social/technical interventions focused on monitoring and eliminating productive breeding sites is important for reducing aquatic-stage mosquito densities in households at risk for Ae. aegypti-transmitted diseases.

Indexed as

Family CharacteristicsAedesAnimal DistributionAnimalsCross-Sectional StudiesDengueEcosystemEcuadorHumansMosquito ControlMosquito VectorsPupaRisk FactorsRural PopulationAedes aegyptiArbovirusCollection servicesHousehold risk factorsMosquitoPrecipitationPredictive modeling

Identifiers

PMID34493321
PMCPMC8425057
OpenAlexW3197471401

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.