Evidence map›Paper›PMID 35649086›Full record

ArticleRevista de saude publica2022

ArboAlvo: stratification method for territorial receptivity to urban arboviruses.

Alexandre San Pedro Siqueira, Heitor Levy Ferreira Praça, Jefferson Pereira Caldas Dos Santos, Hermano Gomes Albuquerque, Leandro Vouga Pereira, Taynãna Cesar Simões, Eduardo Viana Vieira Gusmão, Aline Aparecida Thomaz Pereira, Fabiano Geraldo Pimenta Júnior, Aline Araújo Nobre and 5 more

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Systematic Review of the Ovitrap Surveillance ofTropical medicine and infectious disease · 2025
    Review
  3. Article
  4. Article
  5. The greatest Dengue epidemic in Brazil: Surveillance, Prevention, and Control.Revista da Sociedade Brasileira de Medicina Tropical · 2024
    Review
  6. Article
  7. Mapping priority areas for measles surveillance: stratifying reintroduction and transmission risk in Rio de Janeiro, Brazil.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
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

15 authors at 5 institutions in 1 country.

Alexandre San Pedro SiqueiraFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Mosquitos Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-0326-6053
Heitor Levy Ferreira PraçaFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-5531-2832
Jefferson Pereira Caldas Dos SantosFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-9780-9911
Hermano Gomes AlbuquerqueFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-8883-2789
Leandro Vouga PereiraFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-8110-7795
Taynãna Cesar SimõesFundação Oswaldo Cruz. Instituto René Rachou. Núcleo de Estudos em Saúde Pública e Envelhecimento. Minas Gerais, MG, Brasil.ORCID http://orcid.org/0000-0002-5849-343X
Eduardo Viana Vieira GusmãoSecretaria Municipal de Saúde de Belo Horizonte. Subsecretaria de Promoção e Vigilância em Saúde. Minas Gerais, MG, Brasil.ORCID http://orcid.org/0000-0002-1871-711X
Aline Aparecida Thomaz PereiraSecretaria de Estado de Saúde de Minas Gerais. Subsecretaria de Vigilância em Saúde. Superintendência de Vigilância Epidemiológica. Minas Gerais, MG, Brasil.ORCID http://orcid.org/0000-0003-4171-431X
Fabiano Geraldo Pimenta JúniorSecretaria Municipal de Saúde de Belo Horizonte. Subsecretaria de Promoção e Vigilância em Saúde. Minas Gerais, MG, Brasil.ORCID http://orcid.org/0000-0003-2365-9660
Aline Araújo NobreFundação Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-6306-9257
Mariane Branco AlvesUniversidade Federal do Rio de Janeiro. Instituto de Matemática. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-2489-9300
Christovam BarcellosFundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-1161-2753
Marilia Sá CarvalhoFundação Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-9566-0284
Paulo Chagastelles SabrozaFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-8235-0562
Nildimar Alves HonórioFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-2535-3844
Escola Nacional de Saúde Pública · BRFundação Oswaldo Cruz · BRSecretaria Municipal de Saúde · BRSecretaria da Saúde · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo present the urban arboviruses (dengue, zika and chikungunya) stratification methodology by the territorial receptivity Index, an instrument for the surveillance and control of these diseases, which considers the heterogeneity of an intra-municipal territory.

methodsEcological study that uses as unit of analysis the areas covered by health centers in Belo Horizonte. For the development of a territorial receptivity index, indicators of socio-environmental determination of urban arboviruses were selected in order to integrate the analysis of main components. The resulting components were weighted by the analytic hierarchy process and combined via map algebra.

resultsThe territorial receptivity index showed great heterogeneity of urban infrastructure conditions. The areas classified with high and very high receptivity correspond to approximately 33% of the occupied area and are mainly concentrated in the administrative planning regions of East, Northeast, North, West, and Barreiro, especially in areas surrounding the municipality. When the density of dengue cases and Aedes eggs, from 2016, were superimposed with the stratification by the index of territorial receptivity to urban arboviruses, areas of very high receptivity had a high density of cases and Aedes eggs - higher than that observed in other areas of the city, which corresponds to a very small percentage of the municipal territory (13.5%).

conclusionThe analyses indicate the need for the development of adequate surveillance and control actions for each context, overcoming the logic of homogeneous allocation throughout the territory.

Indexed as

AedesArbovirusesChikungunya FeverDengueZika VirusZika Virus InfectionAnimalsBrazilHumans

Identifiers

PMID35649086
PMCPMC9126578
OpenAlexW4281919239

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.