Evidence map›Paper›PMID 33970118›Full record

ArticleJMIR public health and surveillance2021

Development of an Index for the Inspection of Aedes aegypti Breeding Sites in Brazil: Multi-criteria Analysis.

Yuri Lima, Wallace Pinheiro, Carlos Eduardo Barbosa, Matheus Magalhães, Miriam Chaves, Jano Moreira de Souza, Sérgio Rodrigues, Geraldo Xexéo

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission byInternational journal of environmental research and public health · 2025
    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

8 authors.

Yuri LimaGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0002-6662-9771
Wallace PinheiroGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0001-7076-8785
Carlos Eduardo BarbosaGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0001-8067-7123
Matheus MagalhãesGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0003-3820-4124
Miriam ChavesNational Laboratory of Scientific Computation, Brazilian Ministry of Science, Technology, Innovation, and Communications, Petrópolis, Brazil.ORCID 0000-0002-6101-6757
Jano Moreira de SouzaGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0001-5080-1955
Sérgio RodriguesLemobs, Rio de Janeiro, Brazil.ORCID 0000-0003-2264-5849
Geraldo XexéoGraduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.ORCID 0000-0003-3975-9076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAedes aegypti is a vector for the transmission of diseases such as dengue fever, chikungunya, Zika fever, and yellow fever. In 2016, over 1 million cases of these diseases were reported in Brazil, which is an alarming public health issue. One of the ways of controlling this disease is by inspecting and neutralizing the places where A. aegypti lays its eggs. The Ministry of Planning, Development, and Administration of Brazil maintains the inspection statistics.

objectiveWe propose a multi-criteria analysis to create an index for A. aegypti inspections reported through the Ministry of Planning, Development, and Administration system of Brazil.

methodsBased on the repository from urban cleaning services combined with data on inspections conducted by government agencies in several Brazilian cities and municipalities, we selected and combined metrics, which we further ranked using the analytic hierarchy process methodology. We also developed risk maps based on the analytic hierarchy process ranking of the A. aegypti breeding sites.

resultsBased on our analysis and the available data, the priority for inspections should consider the number of sick people (weight 0.350), medical evaluations (weight 0.239), inspections (weight 0.201), mosquito breeding sites (weight 0.126), and days of absence from work (weight 0.096).

conclusionsThe proposed index could aid public health practitioners in preventing the appearance of new A. aegypti breeding sites. This information technology application can help solve such public health challenges.

Indexed as

AedesDengueZika VirusZika Virus InfectionAnimalsBrazilBreedingHumansMosquito Vectorshuman sensorsmulti-criteria analysispublic healthtropical diseasesvector surveillance

Identifiers

PMID33970118
PMCPMC8145087

What OpenQuestion holds

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Registered trials

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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.