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Home / Publications / Molecular epidemiology of rotavirus in four provinces of Angola before vaccine introduction

Molecular epidemiology of rotavirus in four provinces of Angola before vaccine introduction

  • Authors: Dimbu R, Esteves A, Fortes F, Istrate C, Mendes C, Nordgren J, Pereira J, Saraiva N
  • Publication Year: 2016
  • Journal: Journal of Medical Virology
  • Link: http://onlinelibrary.wiley.com/doi/10.1002/jmv.24510/epdf

Angola is a sub-Saharan country in southern Africa highly affected by diarrhoeal disease with limited epidemiological data regarding etiologic agents. This study was performed during 2012-2013, prior to rotavirus vaccine introduction, with the objective to detect and characterize the rotavirus strains circulating in four provinces of the country: Huambo, Luanda, Zaire, and Cabinda. A high rotavirus detection rate (35%, 117/334) was observed. G1 was the most common G-genotype (83.6%), whereas P[8] (50.9%) followed by P[6] (38.8%) were the most common P-types. G1P[8] was identified as the predominant combination (50%), followed by the unusual G1P[6] (29.3%). Strains such G2P[4], G8P[6], G9P[6], and G12P[6] were also found in lower frequencies (5.2-1.7%). The P[6] strains did not cluster in the phylogenetic trees according to their geographic origin or even the corresponding G-genotype, suggesting a limited number of recent introductions and extensive reassortment events. Our results represent the first report on rotavirus genotype profiles in Angola, showing a wide circulation of the unusual genotype G1P[6], and underline the importance of RV surveillance after the vaccine introduction. J. Med. Virol. 88:1511-1520, 2016.

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About GHTM

GHTM is a R&D Unit that brings together researchers 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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