Title |
Quantitative real-time PCR detection of Zika virus and evaluation with field-caught Mosquitoes
|
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Published in |
Virology Journal, October 2013
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DOI | 10.1186/1743-422x-10-311 |
Pubmed ID | |
Authors |
Oumar Faye, Ousmane Faye, Diawo Diallo, Mawlouth Diallo, Manfred Weidmann, Amadou Alpha Sall |
Abstract |
Zika virus (ZIKV), a mosquito borne flavivirus is a pathogen affecting humans in Asia and Africa. ZIKV infection diagnosis relies on serology-which is challenging due to cross-reactions with other flaviviruses and/or absence or low titer of IgM and IgG antibodies at early phase of infection- virus isolation, which is labor intensive, time consuming and requires appropriate containment. Therefore, real-time RT-PCR (rRT-PCR) is an appealing option as a rapid, sensitive and specific method for detection of ZIKV in the early stage of infection. So far, only one rRT-PCR assay has been described in the context of the outbreak in Micronesia in 2007. In this study, we described a one step rRT-PCR for ZIKV which can detect a wider genetic diversity of ZIKV isolates from Asia and Africa. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 14% |
United States | 2 | 14% |
Canada | 1 | 7% |
Brazil | 1 | 7% |
Mexico | 1 | 7% |
Netherlands | 1 | 7% |
Unknown | 6 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 64% |
Scientists | 3 | 21% |
Science communicators (journalists, bloggers, editors) | 2 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 10 | 1% |
United States | 9 | 1% |
Portugal | 2 | <1% |
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Netherlands | 1 | <1% |
South Africa | 1 | <1% |
France | 1 | <1% |
Saint Kitts and Nevis | 1 | <1% |
Other | 4 | <1% |
Unknown | 640 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 132 | 20% |
Researcher | 125 | 19% |
Student > Ph. D. Student | 86 | 13% |
Student > Bachelor | 81 | 12% |
Student > Doctoral Student | 37 | 5% |
Other | 134 | 20% |
Unknown | 78 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 177 | 26% |
Biochemistry, Genetics and Molecular Biology | 120 | 18% |
Medicine and Dentistry | 98 | 15% |
Immunology and Microbiology | 54 | 8% |
Engineering | 14 | 2% |
Other | 102 | 15% |
Unknown | 108 | 16% |