Evidence map›Paper›PMID 30026544›Full record

ArticleNature communications2018

Quantifying the spatial spread of dengue in a non-endemic Brazilian metropolis via transmission chain reconstruction.

Giorgio Guzzetta, Cecilia A Marques-Toledo, Roberto Rosà, Mauro Teixeira, Stefano Merler

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Autochthonous transmission patterns of dengue virus serotype 2 in Italy: evidence from outbreaks in 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
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  9. Infectivity and Dissemination of Dengue Virus-1 in DifferentTropical medicine and infectious disease · 2025
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  13. Review
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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

5 authors.

Giorgio GuzzettaCenter for Information Technology, Bruno Kessler Foundation, via Sommarive 18, Trento, I-38123, Italy.
Cecilia A Marques-ToledoDepartamento de Bioquimica e Imunologia do Instituto de Ciencias Biologicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627-Pampulha, Belo Horizonte, 31270-901, Minas Gerais, Brazil.
Roberto RosàEpilab-JRU, FEM-FBK Joint Research Unit, Trento, I-38100, Italy.
Mauro TeixeiraDepartamento de Bioquimica e Imunologia do Instituto de Ciencias Biologicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627-Pampulha, Belo Horizonte, 31270-901, Minas Gerais, Brazil.
Stefano MerlerCenter for Information Technology, Bruno Kessler Foundation, via Sommarive 18, Trento, I-38123, Italy. merler@fbk.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing geographical expansion of dengue is inducing an epidemiological transition in many previously transmission-free urban areas, which are now prone to annual epidemics. To analyze the spatiotemporal dynamics of dengue in these settings, we reconstruct transmission chains in Porto Alegre, Brazil, by applying a Bayesian inference model to geo-located dengue cases from 2013 to 2016. We found that transmission clusters expand by linearly increasing their diameter with time, at an average rate of about 600 m month

Indexed as

Spatio-Temporal AnalysisAlgorithmsBayes TheoremBrazilCitiesDengueDengue VirusGeographyHumansModels, Theoretical

Identifiers

PMID30026544
PMCPMC6053439

What OpenQuestion holds

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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.