Tiago Gräf, Edson Delatorre, Caroline do Nascimento Ferreira, Agata Rossi, Hellen Geremias Gatica Santos, Bianca Ribeiro Pizzato, Valdinete Nascimento, Victor Souza, Gustavo Barbosa de Lima, Filipe Zimmer Dezordi, Alexandre Freitas da Silva, Clarice Neuenschwander Lins de Morais, Ighor Arantes, Mariza Hoffmann Machado, Darcita Buerger Rovaris, Mayra Marinho Presibella, Nelson Fernando Quallio Marques, Emanuelle Gemin Pouzato, Jucelia Stadinicki, Rodrigo Ribeiro-Rodrigues, Tulio de Lima Campos
{"title":"Expansion of Oropouche virus in non-endemic Brazilian regions: analysis of genomic characterisation and ecological drivers","authors":"Tiago Gräf, Edson Delatorre, Caroline do Nascimento Ferreira, Agata Rossi, Hellen Geremias Gatica Santos, Bianca Ribeiro Pizzato, Valdinete Nascimento, Victor Souza, Gustavo Barbosa de Lima, Filipe Zimmer Dezordi, Alexandre Freitas da Silva, Clarice Neuenschwander Lins de Morais, Ighor Arantes, Mariza Hoffmann Machado, Darcita Buerger Rovaris, Mayra Marinho Presibella, Nelson Fernando Quallio Marques, Emanuelle Gemin Pouzato, Jucelia Stadinicki, Rodrigo Ribeiro-Rodrigues, Tulio de Lima Campos","doi":"10.1016/s1473-3099(24)00687-x","DOIUrl":null,"url":null,"abstract":"<h3>Background</h3>Oropouche virus (OROV) is an arbovirus endemic in the Amazon region that closely resembles other arboviruses in terms of human disease, leading to potential misdiagnoses. The virus ecology has mostly restricted its occurrence to the Amazon biome; however, after a large 2023–24 OROV epidemic in the Brazilian Amazon region, outbreaks are being reported across Brazil and in other countries in Latin America. Here, we investigate the OROV spread outside Amazonia.<h3>Methods</h3>In this genomic and epidemiological study, OROV cases from January, 2023, to July, 2024, provided by the General Coordination of Public Health Laboratories of Brazil on Aug 1, 2024, were compared by geographical location (Amazon <strong>vs</strong> non-Amazon) and municipal population size, and a linear mixed model was employed to assess the relationship between agricultural area size and cases. OROV-positive samples from central laboratories of five non-Amazonian Brazilian states were sequenced using an amplicon-based approach. Bayesian phylogeographical analysis was performed with near full-length viral genomes, incorporating individual travel histories when relevant. The estimated dates of viral introductions in each sampled location were then contextualised with public epidemiological data.<h3>Findings</h3>Epidemic data show that outside the Amazon region, OROV cases frequency was 3·9-times higher in small municipalities than in large municipalities. The planted areas of some agricultural products, such as banana plantations, were positively correlated (<strong>r</strong>=0·39, p<0·0001) with OROV cases. The linear mixed model revealed that, besides banana, cassava also has larger (p<0·05) planted areas in municipalities with OROV cases when compared with those with no cases. The phylogenetic analysis of 32 new OROV genomes reconstructed multiple exportation events of the newly identified reassortant lineage from the Amazon to other Brazilian regions between January and March, 2024. At least three of the previously described OROV phylogenetic clades circulating in the Amazon were the source of viral introductions. Molecular clock analysis estimated that viral introductions happened from 50 days to 100 days before detecting the outbreaks in each state.<h3>Interpretation</h3>Our results confirm that the novel OROV reassortant lineage spread from the Amazon to other regions in early 2024, successfully establishing local transmission. The fact that outbreaks were observed in small municipalities, instead of large urban centres, suggests that local ecological conditions that are ideal for OROV vector occurrence, such as the banana plantation environment, might be important factors driving its spread in Brazil.<h3>Funding</h3>DECIT, CNPq, FAPEAM, and Inova-Fiocruz.<h3>Translation</h3>For the Portuguese translation of the abstract see Supplementary Materials section.","PeriodicalId":49923,"journal":{"name":"Lancet Infectious Diseases","volume":"21 1","pages":""},"PeriodicalIF":36.4000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/s1473-3099(24)00687-x","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Oropouche virus (OROV) is an arbovirus endemic in the Amazon region that closely resembles other arboviruses in terms of human disease, leading to potential misdiagnoses. The virus ecology has mostly restricted its occurrence to the Amazon biome; however, after a large 2023–24 OROV epidemic in the Brazilian Amazon region, outbreaks are being reported across Brazil and in other countries in Latin America. Here, we investigate the OROV spread outside Amazonia.
Methods
In this genomic and epidemiological study, OROV cases from January, 2023, to July, 2024, provided by the General Coordination of Public Health Laboratories of Brazil on Aug 1, 2024, were compared by geographical location (Amazon vs non-Amazon) and municipal population size, and a linear mixed model was employed to assess the relationship between agricultural area size and cases. OROV-positive samples from central laboratories of five non-Amazonian Brazilian states were sequenced using an amplicon-based approach. Bayesian phylogeographical analysis was performed with near full-length viral genomes, incorporating individual travel histories when relevant. The estimated dates of viral introductions in each sampled location were then contextualised with public epidemiological data.
Findings
Epidemic data show that outside the Amazon region, OROV cases frequency was 3·9-times higher in small municipalities than in large municipalities. The planted areas of some agricultural products, such as banana plantations, were positively correlated (r=0·39, p<0·0001) with OROV cases. The linear mixed model revealed that, besides banana, cassava also has larger (p<0·05) planted areas in municipalities with OROV cases when compared with those with no cases. The phylogenetic analysis of 32 new OROV genomes reconstructed multiple exportation events of the newly identified reassortant lineage from the Amazon to other Brazilian regions between January and March, 2024. At least three of the previously described OROV phylogenetic clades circulating in the Amazon were the source of viral introductions. Molecular clock analysis estimated that viral introductions happened from 50 days to 100 days before detecting the outbreaks in each state.
Interpretation
Our results confirm that the novel OROV reassortant lineage spread from the Amazon to other regions in early 2024, successfully establishing local transmission. The fact that outbreaks were observed in small municipalities, instead of large urban centres, suggests that local ecological conditions that are ideal for OROV vector occurrence, such as the banana plantation environment, might be important factors driving its spread in Brazil.
Funding
DECIT, CNPq, FAPEAM, and Inova-Fiocruz.
Translation
For the Portuguese translation of the abstract see Supplementary Materials section.
期刊介绍:
The Lancet Infectious Diseases was launched in August, 2001, and is a lively monthly journal of original research, review, opinion, and news covering international issues relevant to clinical infectious diseases specialists worldwide.The infectious diseases journal aims to be a world-leading publication, featuring original research that advocates change or sheds light on clinical practices related to infectious diseases. The journal prioritizes articles with the potential to impact clinical practice or influence perspectives. Content covers a wide range of topics, including anti-infective therapy and immunization, bacterial, viral, fungal, and parasitic infections, emerging infectious diseases, HIV/AIDS, malaria, tuberculosis, mycobacterial infections, infection control, infectious diseases epidemiology, neglected tropical diseases, and travel medicine. Informative reviews on any subject linked to infectious diseases and human health are also welcomed.