Evidence map›Paper›PMID 28376893›Full record

ArticleParasites & vectors2017

Effects of socio-demographic characteristics and household water management on Aedes aegypti production in suburban and rural villages in Laos and Thailand.

Nanthasane Vannavong, Razak Seidu, Thor-Axel Stenström, Nsa Dada, Hans J Overgaard

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 70 citations in OpenAlex.

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  12. Efficacy of householdHeliyon · 2023
    Article
  13. One health (Amsterdam, Netherlands) · 2023
    Review
  14. Article
  15. Article
  16. Mapping the spatial distribution of the dengue vectorOne health (Amsterdam, Netherlands) · 2021
    Article
  17. Article
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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

5 authors at 4 institutions in 3 countries.

Nanthasane VannavongFaculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway. anandafet@gmail.com.
Razak SeiduWater and Environmental Engineering Group, Department of Civil Engineering, Institute for Marine Operations and Civil Engineering, Norwegian University of Science and Technology, Ålesund, Norway.
Thor-Axel StenströmSARChl Chair, Institute for Water and Waste Water Technology, Durban University of Technology, Durban, South Africa.
Nsa DadaFaculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Hans J OvergaardFaculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Norwegian University of Life Sciences · NODurban University of Technology · ZAMaladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle · FRNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever is a mosquito-borne disease accounting for 50-100 million annual cases globally. Laos and Thailand are countries in south-east Asia where the disease is endemic in both urban and rural areas. Household water storage containers, which are favourable breeding sites for dengue mosquitoes, are common in these areas, due to intermittent or limited access to water supply. This study assessed the effect of household water management and socio-demographic risk factors on Aedes aegypti infestation of water storage containers.

methodsA cross-sectional survey of 239 households in Laos (124 suburban and 115 rural), and 248 households in Thailand (127 suburban and 121 rural) was conducted. Entomological surveys alongside semi-structured interviews and observations were conducted to obtain information on Ae. aegypti infestation, socio-demographic factors and water management. Zero-inflated negative binomial regression models were used to assess risk factors associated with Ae. aegypti pupal infestation.

resultsHousehold water management rather than socio-demographic factors were more likely to be associated with the infestation of water containers with Ae. aegypti pupae. Factors that was significantly associated with Ae. aegypti infestation were tanks, less frequent cleaning of containers, containers without lids, and containers located outdoors or in toilets/bathrooms.

conclusionsAssociations between Ae. aegypti pupae infestation, household water management, and socio-demographic factors were found, with risk factors for Ae. aegypti infestation being specific to each study setting. Most of the containers did not have lids, larvicides, such as temephos was seldom used, and containers were not cleaned regularly; factors are facilitating dengue vector proliferation. It is recommended that, in Lao villages, health messages should promote proper use and maintenance of tightly fitted lids, and temephos in tanks, which were the most infested containers. Recommendations for Thailand are that small water containers should be cleaned weekly. Furthermore, in addition to health messages on dengue control provided to communities, attention should be paid to larval control for indoor containers in rural villages. Temephos or other immature control measures such as the use of pyriproxyfen, antilarval bacteria, or larvivorous fish should be used where temephos resistance is prevalent. Dengue control is not possible without additional adult mosquito control and community participation.

Indexed as

DemographyEcosystemFamily CharacteristicsSocioeconomic FactorsAedesAnimalsCross-Sectional StudiesEntomologyInterviews as TopicLaosPopulation DensityRural PopulationSuburban PopulationThailandAedes aegyptiDengueLaosThailandWater storage

Identifiers

PMID28376893
PMCPMC5381031
OpenAlexW2605336052

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.