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Genetic diversity of human respiratory syncytial virus isolated among children with acute respiratory infections in Southern Cameroon during three consecutive epidemic seasons, 2011–2013

Overview of attention for article published in Tropical Medicine and Health, April 2018
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Title
Genetic diversity of human respiratory syncytial virus isolated among children with acute respiratory infections in Southern Cameroon during three consecutive epidemic seasons, 2011–2013
Published in
Tropical Medicine and Health, April 2018
DOI 10.1186/s41182-018-0088-7
Pubmed ID
Authors

Sebastien Kenmoe, Marie-Astrid Vernet, Fabien Miszczak, Julia Dina, Matthieu Schoenhals, Véronique Penlap Beng, Astrid Vabret, Richard Njouom

Abstract

Human respiratory syncytial virus (HRSV) is the main viral cause of severe lower respiratory tract disease in infants and young children. The aim of this study was to describe for the first time the genetic variability of HRSV in Cameroonian patients living in Yaounde for three consecutive epidemic seasons. HRSV-positive nasopharyngeal samples detected in children less than 15 years in Yaounde were collected from September 2011 to December 2013. Semi-nested RT-PCR, sequencing, and phylogenetic analyses of the second hypervariable region of theGgene were performed. A total of 57 HRSV-positive samples were collected during the study period. Among these, 46 (80.7%) could be amplified in theGgene. HRSV group A (HRSV-A) and group B (HRSV-B) co-circulated in this population at 17.4 and 82.6%, respectively. HRSV-A strains clustered in the NA-1 genotype while HRSV-B strains clustered in the BA-9 genotype. HRSV-A strains accounted for 33.3% (2/6), 4.3% (1/23), and 29.4% (5/17) of the viruses isolated in 2011, 2012, and 2013, respectively. This study reports molecular epidemiology data of HRSV in Cameroon for the first time. Additional studies are required to clarify evolutionary patterns of HRSV throughout sub-Saharan Africa to support antiviral and vaccine development.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Master 5 14%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Student > Postgraduate 2 5%
Other 5 14%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 16%
Immunology and Microbiology 6 16%
Medicine and Dentistry 5 14%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 8%
Unknown 14 38%