Evidence map›Paper›PMID 35671560›Full record

ArticleEpidemics2022

Synchronized spread of COVID-19 in the cities of Bahia, Brazil.

Hugo Saba, A S Nascimento Filho, José G V Miranda, Raphael S Rosário, Thiago B Murari, Eduardo M F Jorge, Elaine C B Cambui, Márcia S P L Souza, Ana C F N Silva, Márcio L V Araújo

Abstract read
In one paragraph

Article in Epidemics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Hugo SabaUniversidade do Estado da Bahia - UNEB, Salvador, Bahia, Brazil; Centro Universitário SENAI/CIMATEC, Salvador, Bahia, Brazil; Núcleo de Pesquisa Aplicada e Inovação (NPAI), Universidade do Estado da Bahia-UNEB/Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil. Electronic address: hugosaba@gmail.com.
A S Nascimento FilhoCentro Universitário SENAI/CIMATEC, Salvador, Bahia, Brazil; Núcleo de Pesquisa Aplicada e Inovação (NPAI), Universidade do Estado da Bahia-UNEB/Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil. Electronic address: aloisio.nascimento@gmail.com.
José G V MirandaUniversidade Federal da Bahia - UFBA, Salvador, Bahia, Brazil. Electronic address: vivas@ufba.br.
Raphael S RosárioUniversidade Federal da Bahia - UFBA, Salvador, Bahia, Brazil. Electronic address: raphael.rosario@ufba.br.
Thiago B MurariCentro Universitário SENAI/CIMATEC, Salvador, Bahia, Brazil; Núcleo de Pesquisa Aplicada e Inovação (NPAI), Universidade do Estado da Bahia-UNEB/Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil. Electronic address: mura.learning@gmail.com.
Eduardo M F JorgeUniversidade do Estado da Bahia - UNEB, Salvador, Bahia, Brazil; Núcleo de Pesquisa Aplicada e Inovação (NPAI), Universidade do Estado da Bahia-UNEB/Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil. Electronic address: emjorge1974@gmail.com.
Elaine C B CambuiSecrétaria de Saúde do Estado da Bahia, Salvador, Bahia, Brazil. Electronic address: elainecambui@gmail.com.
Márcia S P L SouzaSecrétaria de Saúde do Estado da Bahia, Salvador, Bahia, Brazil. Electronic address: marcia.saopedro@saude.ba.gov.br.
Ana C F N SilvaSecrétaria de Saúde do Estado da Bahia, Salvador, Bahia, Brazil. Electronic address: anaclaudianunes@hotmail.com.
Márcio L V AraújoInstituto Federal da Bahia - IFBA, Salvador, Bahia, Brazil; Núcleo de Pesquisa Aplicada e Inovação (NPAI), Universidade do Estado da Bahia-UNEB/Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil. Electronic address: marcioaraujo@ifba.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, caused by the highly transmissible SARS-CoV-2 virus, has overloaded health systems in many contexts Conant and Wolfe (2008). Brazil has experienced more than 345,000 deaths, as of April/2021 Conant and Wolfe (2008), with dire consequences for the country's public and private health systems. This paper aims to estimate the synchronization graph between the cities' contagion waves from public COVID-19 data records. For this purpose, the Motif-Synchronization method Magwire et al. (2011) was applied to publicly available COVID-19 data records to determine the sequential relationship of occurrence of the waves among Bahia's cities. We find synchronization between waves of infection between cities, suggesting diffusion of the disease in Bahia and a potential role for inter-city transportation Saba et al. (2018), Saba et al. (2014), Araújo et al. (2018) in the dynamics of this phenomenon McKee and Stuckler (2020), Chinazzi et al. (2020), Tizzoni et al. (2014). Our main contribution lies in the use of the Motif-Synchronization method applied to COVID-19 data records, with the results revealing a pattern of disease spread that extends beyond city boundaries.

Indexed as

COVID-19BrazilCitiesHumansPandemicsSARS-CoV-2COVID-19Motif–SynchronizationSpread

Identifiers

PMID35671560
PMCPMC9158455

What OpenQuestion holds

Textmetadata
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.