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Estratificação automática de áreas prioritárias para controle da dengue utilizando o Model Builder do QGIS em uma análise multicritério

Overview of attention for article published in Epidemiologia e Serviços de Saúde, May 2020
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Title
Estratificação automática de áreas prioritárias para controle da dengue utilizando o Model Builder do QGIS em uma análise multicritério
Published in
Epidemiologia e Serviços de Saúde, May 2020
DOI 10.5123/s1679-49742020000200004
Pubmed ID
Authors

Edmar Franco de Paiva, Tânia da Silva Vaz, Marcello Rosa, Ivana Lúcia Borges e Garcia

Abstract

to present a methodological sequence resulting from multicriteria analysis indicating areas with different Aedes aegypti intervention priorities. a Female Aedes Displacement Index (IDFAedes) was created, consolidated according to urban blocks, representing interaction between population densities, Aedes aegypti oviposition sites and dengue case notifications; a graphical model (Model Builder) was developed with QGIS software using the Kernel mapping algorithm and IDFAedes as the weighting factor. stratification for the evaluated example - Anápolis, GO, Brazil - indicated intervention priority levels for urban blocks - 17.5%, very low priority; 37.3%, low; 33.6%, medium; 10.2%, high; 1.4%, very high -; blocks with medium, high, and very high priority accounted for 22.53,% of the territory in the area. the spatial block method proposed in this article can be included in health surveillance programs for intensified targeting and planning of control actions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 13%
Researcher 3 13%
Student > Master 3 13%
Student > Bachelor 3 13%
Unspecified 1 4%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 3 13%
Veterinary Science and Veterinary Medicine 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2020.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Epidemiologia e Serviços de Saúde
#245
of 410 outputs
Outputs of similar age
#299,889
of 410,102 outputs
Outputs of similar age from Epidemiologia e Serviços de Saúde
#15
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 410 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 410,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.