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Record W2619137602 · doi:10.1186/s12889-017-4290-z

Assessing the effects of interventions for Aedes aegypti control: systematic review and meta-analysis of cluster randomised controlled trials

2017· review· en· W2619137602 on OpenAlexaff
Víctor Manuel Alvarado-Castro, Sergio Paredes‐Solís, Elizabeth Nava-Aguilera, Arcadio Morales-Pérez, Lidia Alarcón-Morales, Norma Alejandra Balderas-Vargas, Neil Andersson

Bibliographic record

VenueBMC Public Health · 2017
Typereview
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsMcGill University
FundersUBS Optimus Foundation
KeywordsMedicineChikungunyaAedes aegyptiBiostatisticsPsychological interventionDengue feverCluster randomised controlled trialMeta-analysisMosquito controlCluster (spacecraft)Environmental healthEpidemiologyBiologyEcologyVirologyImmunologyInternal medicineMalaria

Abstract

fetched live from OpenAlex

BACKGROUND: The Aedes aegypti mosquito is the vector for dengue fever, yellow fever, chikungunya, and zika viruses. Inadequate vector control has contributed to persistence and increase of these diseases. This review assesses the evidence of effectiveness of different control measures in reducing Aedes aegypti proliferation, using standard entomological indices. METHODS: A systematic search of Medline, Ovid, BVS, LILACS, ARTEMISA, IMBIOMED and MEDIGRAPHIC databases identified cluster randomised controlled trials (CRCTs) of interventions to control Aedes aegypti published between January 2003 and October 2016. Eligible studies were CRCTs of chemical or biological control measures, or community mobilization, with entomological indices as an endpoint. A meta-analysis of eligible studies, using a random effects model, assessed the impact on household index (HI), container index (CI), and Breteau index (BI). RESULTS: From 848 papers identified by the search, eighteen met the inclusion criteria: eight for chemical control, one for biological control and nine for community mobilisation. Seven of the nine CRCTs of community mobilisation reported significantly lower entomological indices in intervention than control clusters; findings from the eight CRCTs of chemical control were more mixed. The CRCT of biological control reported a significant impact on the pupae per person index only. Ten papers provided enough detail for meta-analysis. Community mobilisation (four studies) was consistently effective, with an overall intervention effectiveness estimate of -0.10 (95%CI -0.20 - 0.00) for HI, -0.03 (95%CI -0.05 - -0.01) for CI, and -0.13 (95%CI -0.22 - -0.05) for BI. The single CRCT of biological control had effectiveness of -0.02 (95%CI -0.07- 0.03) for HI, -0.02 (95%CI -0.04- -0.01) for CI and -0.08 (95%CI -0.15- -0.01) for BI. The five studies of chemical control did not show a significant impact on indices: the overall effectiveness was -0.01 (95%CI -0.05- 0.03) for HI, 0.01 (95% CI -0.01- 0.02) for CI, and 0.01 (95%CI -0.03 - 0.05) for BI. CONCLUSION: Governments that rely on chemical control of Aedes aegypti should consider adding community mobilization to their prevention efforts. More well-conducted CRCTs of complex interventions, including those with biological control, are needed to provide evidence of real life impact. Trials of all interventions should measure impact on dengue risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.044
metaresearch head score (Gemma)0.086
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMetaresearch, Meta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0440.086
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0600.031
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.406
GPT teacher head0.540
Teacher spread0.134 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations91
Published2017
Admission routes1
Has abstractyes

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