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Peer reviewedOpen accessMonkeypox

Viral genetic clustering and transmission dynamics of the 2022 mpox outbreak in Portugal

Nature Medicine·

Vítor Borges, Mariana Perez Duque, João Vieira Martins, Paula Vasconcelos, Rita Ferreira, Daniel Sobral, Ana Pelerito, Isabel Lopes de Carvalho, Maria Sofia Núncio, Maria José Borrego, Cornelius Roemer, Richard A. Neher, Megan O’Driscoll, Raquel Rocha, Sílvia Lopo, Raquel Neves, Paula Palminha, Luís Coelho, Alexandra Nunes, Joana Isidro, Miguel Pinto, João Dourado Santos, Verónica Mixão, Daniela Santos, Silvia Duarte, Luís Vieira, Fátima Martins, Jorge Machado, Vítor Cabral Veríssimo, Berta Grau, André Peralta-Santos, José Neves, Margarida Caldeira, Mafalda Pestana, Cândida Fernandes, João Caria, Raquel Pinto, Diana Póvoas, Fernando Maltez, Ana Isabel Sá, Mafalda Brito Salvador, Eugénio Teófilo, Miguel Rocha, Virginia Moneti, Luis Miguel Duque, Francisco Ferreira e Silva, Teresa Baptista, Joana Vasconcelos, Sara Casanova, Kamal Mansinho, João Vaz Alves, João Alves, António Silva, Miguel Alpalhão, Cláudia Brazão, Diogo Sousa, Paulo Filipe, Patrícia Pacheco, Francesca Peruzzu, Rita Patrocínio de Jesus, Luís Ferreira, Josefina Mendez, Sofia Jordão, Frederico Duarte, Maria João Gonçalves, Eduarda Pena, Claúdio Nunes Silva, André Rodrigues Guimarães, Margarida Tavares, Graça Freitas, Rita Cordeiro, João Paulo Gomes

DOI
10.1038/s41591-023-02542-x
PMID
37696933
PMCID
PMC10579057
OpenAlex
W4386609550
Study type
Genomic study
Publisher
Springer Science and Business Media LLC
Article type
journal-article
Integrity
current

Why this research matters now

The abstract presents genomic epidemiology as a potential tool for monitoring and controlling mpox outbreaks in real time. It also states that the findings may inform future vaccine policy for a population described as highly susceptible; this is an article-level implication rather than clinical or policy advice.

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Structured evidence summary

Research question

The study examined early viral spread, diversification, and transmission patterns during the 2022 mpox outbreak in Portugal by combining viral genomic and epidemiological information.

Study design

This was a genomic epidemiology study using pathogen sequencing alongside epidemiological data. Viral genomes were obtained from 52% of confirmed cases in Portugal and compared with a global context.

Population and setting

The setting was the 2022 mpox outbreak in Portugal. The analysis included confirmed cases with available sequencing data and estimated infection levels among men who have sex with men in Portugal.

Main findings

The analysis identified sublineages associated with the largest case numbers and reported that several international sublineages probably emerged or spread early in Portugal. The authors estimated a 62% infection reporting rate and infection of 1.3% of the men-who-have-sex-with-men population in Portugal, and inferred that sexual networks and superspreader gatherings, including sauna attendance, contributed to dissemination.

Public-health relevance

The abstract presents genomic epidemiology as a potential tool for monitoring and controlling mpox outbreaks in real time. It also states that the findings may inform future vaccine policy for a population described as highly susceptible; this is an article-level implication rather than clinical or policy advice.

Important limitations

The abstract reports sequencing for 52% of confirmed cases, so the findings are based on a subset of cases rather than the full confirmed-case population. The summary is limited to the supplied single-article abstract and metadata; the original paper is required for decision-grade assessment of sampling, methods, uncertainty, and study limitations.

GIDS interpretation

The article is discoverable as evidence concerning mpox, Portugal, outbreak investigation, transmission dynamics, vaccination, genomic epidemiology, and health policy. It provides contextual evidence about the 2022 Portuguese outbreak and does not, by itself, confirm any live surveillance signal.

02

Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

03

Evidence relationships

This article has 14 auditable classifier relationships to diseases, places, topics, and study design.

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