Evidence map›Paper›PMID 38651879›Full record

ArticleMicrobiology spectrum2024

Spatiotemporal transmission of SARS-CoV-2 lineages during 2020-2021 in Pernambuco-Brazil.

Lais Ceschini Machado, Filipe Zimmer Dezordi, Gustavo Barbosa de Lima, Raul Emídio de Lima, Lilian Caroliny Amorim Silva, Leandro de Mattos Pereira, Alexandre Freitas da Silva, Antonio Marinho da Silva Neto, André Luiz Sá de Oliveira, Anderson da Costa Armstrong and 19 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

29 authors.

Lais Ceschini MachadoDepartamento de Entomologia, Instituto Aggeu Magalhães (IAM)-Fundação Oswaldo Cruz-FIOCRUZ, Recife, Pernambuco, Brazil.
Filipe Zimmer DezordiDepartamento de Entomologia, Instituto Aggeu Magalhães (IAM)-Fundação Oswaldo Cruz-FIOCRUZ, Recife, Pernambuco, Brazil.
Gustavo Barbosa de LimaNúcleo de Plataformas Tecnológicas (NPT), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Raul Emídio de LimaNúcleo de Plataformas Tecnológicas (NPT), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Lilian Caroliny Amorim SilvaNúcleo de Plataformas Tecnológicas (NPT), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Leandro de Mattos PereiraNúcleo de Bioinformática (NBI), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Alexandre Freitas da SilvaDepartamento de Entomologia, Instituto Aggeu Magalhães (IAM)-Fundação Oswaldo Cruz-FIOCRUZ, Recife, Pernambuco, Brazil.
Antonio Marinho da Silva NetoNúcleo de Bioinformática (NBI), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
André Luiz Sá de OliveiraNúcleo de Estatística e Geoprocessamento, Instituto Aggeu Magalhães (IAM)- Fundação Oswaldo Cruz Pernambuco- FIOCRUZ-PE, Recife, Brazil.
Anderson da Costa ArmstrongColegiado de Medicina, Universidade Federal do Vale do São Francisco, Petrolina, Brazil.
Rômulo Pessoa-E-SilvaSuely-Galdino Therapeutic Innovation Research Center (NUPIT-SG), Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
Rodrigo Moraes LoyoDepartamento de Parasitologia, Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Barbara de Oliveira SilvaSuely-Galdino Therapeutic Innovation Research Center (NUPIT-SG), Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
Anderson Rodrigues de AlmeidaSuely-Galdino Therapeutic Innovation Research Center (NUPIT-SG), Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
Maira Galdino da Rocha PittaSuely-Galdino Therapeutic Innovation Research Center (NUPIT-SG), Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
Francisco de Assis da Silva SantosNúcleo de Ciências da Vida, Universidade Federal de Pernambuco (UFPE), Centro Acadêmico do Agreste, Caruaru, Brazil.
Marilda Mendonça SiqueiraLaboratory of Respiratory Viruses and Measles (LVRS), Instituto Oswaldo Cruz, FIOCRUZ-Rio de Janeiro, Rio de Janeiro, Brazil.
Paola Cristina ResendeLaboratory of Respiratory Viruses and Measles (LVRS), Instituto Oswaldo Cruz, FIOCRUZ-Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-2884-3662
Edson DelatorreDepartamento de Biologia, Centro de Ciências Exatas, Naturais e da Saúde, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil.
Felipe Gomes NavecaLaboratório de Ecologia de Doenças Transmissíveis na Amazônia (EDTA), Instituto Leônidas e Maria Deane, FIOCRUZ-Amazonas, Manaus, Amazonas, Brazil.
Fabio MiyajimaAnalytical Competence Molecular Epidemiology Laboratory (ACME), FIOCRUZ-Ceará, Fortaleza, Ceará, Brazil.ORCID 0000-0002-1347-4825
Tiago GräfLaboratório de Virologia Molecular, Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba, Paraná, Brazil.
Rodrigo Feliciano do CarmoColegiado de Ciências Farmacêuticas, Universidade Federal do Vale do São Francisco, Petrolina, Brazil.
Michelly Cristiny PereiraSuely-Galdino Therapeutic Innovation Research Center (NUPIT-SG), Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
Tulio de Lima CamposNúcleo de Bioinformática (NBI), Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Matheus Filgueira BezerraDepartamento de Microbiologia, Instituto Aggeu Magalhães (IAM), FIOCRUZ-Pernambuco, Recife, Pernambuco, Brazil.
Marcelo Henrique Santos PaivaDepartamento de Entomologia, Instituto Aggeu Magalhães (IAM)-Fundação Oswaldo Cruz-FIOCRUZ, Recife, Pernambuco, Brazil.ORCID 0000-0003-3069-9417
Gabriel da Luz WallauDepartamento de Entomologia, Instituto Aggeu Magalhães (IAM)-Fundação Oswaldo Cruz-FIOCRUZ, Recife, Pernambuco, Brazil.ORCID 0000-0002-1419-5713
Fiocruz COVID-19 Genomic Network

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 303902/2019-1Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE) APQ-0723-4.06/21
6 · The paper itself

Abstract

SARS-CoV-2 virus emerged as a new threat to humans and spread around the world, leaving a large death toll. As of January 2023, Brazil is among the countries with the highest number of registered deaths. Nonpharmacological and pharmacological interventions have been heterogeneously implemented in the country, which, associated with large socioeconomic differences between the country regions, has led to distinct virus spread dynamics. Here, we investigate the spatiotemporal dispersion of SARS-CoV-2 lineages in the Pernambuco state (Northeast Brazil) throughout the distinct epidemiological scenarios that unfolded in the first 2 years of the pandemic. We generated a total of 1,389 new SARS-CoV-2 genomes from June 2020 to August 2021. This sampling captured the arrival, communitary transmission, and the circulation of the B1.1, B.1.1.28, and B.1.1.33 lineages; the emergence of the former variant of interest P.2; and the emergence and fast replacement of all previous variants by the more transmissible variant of concern P.1 (Gamma). Based on the incidence and lineage spread pattern, we observed an East-to-West to inner state pattern of transmission, which is in agreement with the transmission of more populous metropolitan areas to medium- and small-size country-side cities in the state. Such transmission patterns may be partially explained by the main routes of traffic across municipalities in the state. Our results highlight that the fine-grained intrastate analysis of lineages and incidence spread can provide actionable insights for planning future nonpharmacological intervention for air-borne transmissible human pathogens.IMPORTANCEDuring the COVID-19 pandemic, Brazil was one of the most affected countries, mainly due its continental-size, socioeconomic differences among regions, and heterogeneous implementation of intervention methods. In order to investigate SARS-CoV-2 dynamics in the state of Pernambuco, we conducted a spatiotemporal dispersion study, covering the period from June 2020 to August 2021, to comprehend the dynamics of viral transmission during the first 2 years of the pandemic. Throughout this study, we were able to track three significant epidemiological waves of transmission caused by B1.1, B.1.1.28, B.1.1.33, P.2, and P.1 lineages. These analyses provided valuable insights into the evolution of the epidemiological landscape, contributing to a deeper understanding of the dynamics of virus transmission during the early years of the pandemic in the state of Pernambuco.

Indexed as

COVID-19SARS-CoV-2BrazilGenome, ViralHumansPandemicsPhylogenySpatio-Temporal AnalysisCOVID-19genomic surveillancelineage replacementstate level

Identifiers

PMID38651879
PMCPMC11237429

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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.