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Data · dataset · 2026

<p>Timeline of data collection activities.</p>

Listed in UCL Research Data Repository

<div><p>Disadvantaged communities characterised by poor sanitation conditions, overcrowding, and limited vector control are highly susceptible to <i>Aedes aegypti</i> proliferation and arboviral disease transmission.

Description

Effective mosquito vector control requires a detailed understanding of <i>Ae. aegypti</i> oviposition preferences and spatial distribution within such urban environments. This study aimed to identify key environmental and behavioural drivers of <i>Ae. aegypti</i> proliferation in disadvantaged communities of Salvador, Brazil, combining household surveys, entomological assessments, and remote sensing to guide targeted public health interventions.

Between March and December 2023, using a systematic sampling approach, an entomological survey was conducted in 174 households, alongside a socio-demographic and environmental visual inspection survey in 119 households within two disadvantaged communities of Salvador. Ovitraps were used to collect <i>Ae. aegypti</i> eggs and immatures, providing a detailed assessment of mosquito density. The visual inspection survey identified potential breeding sites (sources of standing water) for <i>Ae. aegypti</i> in the peri-domestic environment.

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Landcover classification was performed to provide insights into vegetation coverage and other landscape features in the study area. Multivariate modelling explored associations between environmental and household factors, and <i>Ae. aegypti</i> density. Of the 303 recovered ovitraps, 85 (55.6%) indoor and 123 (82.0%) outdoor were positive for eggs, with a total of 11,211 <i>Ae. aegypti</i> eggs recorded.

Environmental factors strongly associated with egg abundance included ovitrap location, garbage deposited in front of the house, proximity (within 10 m) to an open sewer, and the presence of open plastic containers in the peri-domestic environment. No significant spatial clustering of mosquito egg density was observed. Breeding was most prolific in the peri-domestic environment, highlighting the importance of keeping these areas clean and well-managed.

Improving waste disposal, water storage practices, and sanitation infrastructure could enhance the effectiveness of vector control. These findings provide evidence to inform integrated strategies for reducing arboviral disease risk in disadvantaged urban settings.</p></div>

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Catalogue records · 1

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Inferred from text
Disease 75%
Provenance · 1 source records, 15 field assertions
SourceKeyLast seenRaw
UCL Research Data Repositoryoai:figshare.com:article/340499755 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · rdr ucl ac ukconnector:rdr_ucl_ac_uk@1.0.0
concepts[disease].local:disease:diseaseenrichment · rdr ucl ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:401304mapping · rdr ucl ac ukvocabulary-mapper@1.0.0keywords['remote sensing']
concepts[field].anzsrc:field:440710mapping · rdr ucl ac ukvocabulary-mapper@1.0.0keywords['Science Policy']
concepts[field].anzsrc:group:3103mapping · rdr ucl ac ukvocabulary-mapper@1.0.0keywords['Ecology']
concepts[field].anzsrc:group:4410mapping · rdr ucl ac ukvocabulary-mapper@1.0.0keywords['Sociology']
concepts[field].local:field:earth-environmentalmapping · rdr ucl ac ukconnector:rdr_ucl_ac_uk@1.0.0
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concepts[field].local:field:social-sciencemapping · rdr ucl ac ukconnector:rdr_ucl_ac_uk@1.0.0
concepts[modality].local:modality:remote-sensingmapping · rdr ucl ac ukvocabulary-mapper@1.0.0keywords['remote sensing']
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