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Home / Archives for Faria NR

Tracing the Impact of Public Health Interventions on HIV-1 Transmission in Portugal Using Molecular Epidemiology

  • Autores: Vasylyeva TI, du Plessis L, Pineda-Peña AC, Kühnert D, Lemey P, Vandamme AM, Gomes P, Camacho RJ, Pybus OG, Abecasis AB, Faria NR
  • Ano de Publicação: 2019
  • Journal: Journal of Infectious Diseases
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/30805610

BACKGROUND: Estimation of temporal changes in human immunodeficiency virus (HIV) transmission patterns can help to elucidate the impact of preventive strategies and public health policies. METHODS: Portuguese HIV-1 subtype B and G pol genetic sequences were appended to global reference data sets to identify country-specific transmission clades. Bayesian birth-death models were used to estimate subtype-specific […]
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A computational method for the identification of dengue, zika and chikungunya virus species and genotypes

  • Autores: Fonseca V, Libin PJK, Theys K, Faria NR, Nunes MRT, Restovic MI, Freire M, Giovanetti M, Cuypers L, Nowé A, Abecasis A, Deforche K, Santiago GA, Siqueira IC, San EJ, Machado KCB, Azevedo V, Filippis AMB, Cunha RVD, Pybus OG, Vandamme AM, Alcantara LCJ, De Oliveira T
  • Ano de Publicação: 2019
  • Journal: Plos Neglected Tropical Diseases
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/31067235

In recent years, an increasing number of outbreaks of Dengue, Chikungunya and Zika viruses have been reported in Asia and the Americas. Monitoring virus genotype diversity is crucial to understand the emergence and spread of outbreaks, both aspects that are vital to develop effective prevention and treatment strategies. Hence, we developed an efficient method to […]
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Epidemiological history and genomic characterization of non-D1 HBV strains identified in Iran

  • Autores: Alavian SM, Amini-Bavil-Olyaee S, Faria NR, Lemey P, Maes P, Mina T, Pineda-Peña AC, Pourkarim MR, Van Ranst M
  • Ano de Publicação: 2015
  • Journal: Journal of Clinical Virology
  • Link: http://www.journalofclinicalvirology.com/article/S1386-6532(14)00482-X/fulltext%20

Hepatitis B virus (HBV) has been classified into eight genotypes and forty subgenotypes. Genotype D of HBV is the most worldwide distributed genotype and HBV subgenotype D1 has been isolated from Iranian patients. To characterize for the first time complete genomes of recently emerged non-D1 strains in Iran. HBV complete genomes isolated from 9 Iranian […]
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Phylogeographical footprint of colonial history in the global dispersal of human immunodeficiency virus type 2 group A.

  • Autores: Camacho RJ, de Sousa JD, Erasmus S, Faria NR, Goncalves MF, Goubau P, Hodges-Mameletzis I, Jallow S, Lemey P, Paolucci S, Pieniazek D, Rodés B, Ruelle J, Silva JC, Soriano V, Suchard MA, Taveira N, Treviño A, Vandamme AM, Xu L
  • Journal: Journal of General Virology
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Phylogeographical+footprint+of+colonial+history+in+the+global+dispersal+of+human+immunodeficiency+virus+type+2+group+A

Human immunodeficiency virus type 2 (HIV-2) emerged in West Africa and has spread further to countries that share socio-historical ties with this region. However, viral origins and dispersal patterns at a global scale remain poorly understood. Here, we adopt a Bayesian phylogeographic approach to investigate the spatial dynamics of HIV-2 group A (HIV-2A) using a collection of 320 partial pol and 248 partial env sequences sampled throughout 19 countries worldwide.
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Phylodynamics of the HIV-1 CRF02_AG clade in Cameroon.

  • Autores: Abecasis A, Bonfim I, Camacho RJ, Faria NR, Lemey P, Ndembi N, Sousa JD, Suchard MA, Vandamme AM
  • Journal: Infection Genetics and Evolution
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Phylodynamics+of+the+HIV-1+CRF02_AG+clade+in+Cameroon

Evolutionary analyses have revealed an origin of pandemic HIV-1 group M in the Congo River basin in the first part of the XX century, but the patterns of historical viral spread in or around its epicentre remain largely unexplored. Here, we combine epidemiologic and molecular sequence data to investigate the spatiotemporal patterns of the CRF02_AG clade.
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About GHTM

GHTM is a R&D Center that brings together researchers from IHMT with a track record in Tropical Medicine and International/Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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