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Molecular characterization of human adenovirus infection in Thailand, 2009–2012

Overview of attention for article published in Virology Journal, June 2013
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Title
Molecular characterization of human adenovirus infection in Thailand, 2009–2012
Published in
Virology Journal, June 2013
DOI 10.1186/1743-422x-10-193
Pubmed ID
Authors

Punsinee Sriwanna, Thaweesak Chieochansin, Chanpim Vuthitanachot, Viboonsuk Vuthitanachot, Apiradee Theamboonlers, Yong Poovorawan

Abstract

BACKGROUND: Human adenovirus (HAdV) can cause a wide spectrum of human diseases worldwide. METHODS: Using PCR and sequence analysis, we investigated HAdV infection prevalence in the Thai population for four years from January 2009 to December 2012. We collected Nasopharyngeal swab/aspirate (NP) specimens from patients in Bangkok, Khon Kaen, and Nakhon Si Thammarat province and fecal specimens only from Bangkok and Khon Kaen province. RESULTS: We observed HAdV infection in 1.04% (82/7,921) of NP samples and in 5.84% (76/1,301) of fecal specimens. HAdV-B3 (32%) and HAdV-C1 (31%) were the genotypes most commonly associated with NP specimens followed by HAdV-C2 (13%) and HAdV-C5 (12%). In fecal specimens, we found that 25% harbored HAdV-F41 followed by HAdV-C1 (18%), HAdV-C2 (16%), and HAdV-B3 (13%). Out of all population subsets, children below the age of 3 years were the most likely to be HAdV positive (63.29%). In addition, HAdV infection occurred throughout the year without a seasonal distribution pattern, although HAdV infection of NP samples peaked from January-April while HAdV infection peaked from January to March and then again from May to July in fecal samples. CONCLUSIONS: This study has for the first time reported the HAdV infection rate in Thai NP and fecal specimens from 2009--2012. We observed that HAdV-B3 and HAdV-C1 were commonly found in NP specimens, and that HAdV-F41 was the most prevalence in fecal specimens in Thailand during the study period.

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The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 7 18%
Researcher 5 13%
Other 4 10%
Student > Bachelor 3 8%
Other 4 10%
Unknown 10 25%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Agricultural and Biological Sciences 8 20%
Immunology and Microbiology 6 15%
Biochemistry, Genetics and Molecular Biology 4 10%
Arts and Humanities 1 3%
Other 3 8%
Unknown 8 20%