Influenza-like illness surveillance in Haiyan county in 2011
NI Chun-miao
Abstract
NI Chun-miao
Abstract
Objective:To understand the influenza virus strains subtype variations and influenza epidemic tendency,and provide scientific basis for the development of influenza prevention and control strategies.Methods: The real time RT-PCR method was used for detection of nucleic acids and type identification.Results: One hundred and sixty-eight throat swabs and gargling liquid samples were collected for influenza virus detection,fourteen cases were found influenza virus nucleic acid positive,including 5 new A(H1N1) cases and 9 influenza B cases.The period from January to March in 2011 was the influenza epidemic peak in Haiyan county,with the alternation of new A(H1N1) and influenza B.Conclusion: In 2011,the influenza positive rate was 8.33%,new A(H1N1) and influenza B virus were predominant from January to March,but influenza B virus went to the top after September.The people above 25 years old were the high-risk population in the epidemic period.
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Objective:To understand the influenza virus strains subtype variations and influenza epidemic tendency,and provide scientific basis for the development of influenza prevention and control strategies.Methods: The real time RT-PCR method was used for detection of nucleic acids and type identification.Results: One hundred and sixty-eight throat swabs and gargling liquid samples were collected for influenza virus detection,fourteen cases were found influenza virus nucleic acid positive,including 5 new A(H1N1) cases and 9 influenza B cases.The period from January to March in 2011 was the influenza epidemic peak in Haiyan county,with the alternation of new A(H1N1) and influenza B.Conclusion: In 2011,the influenza positive rate was 8.33%,new A(H1N1) and influenza B virus were predominant from January to March,but influenza B virus went to the top after September.The people above 25 years old were the high-risk population in the epidemic period.
Key concepts: Virus, Virology, Human mortality from H5N1, Population, Medicine, Throat, Coronavirus disease 2019 (COVID-19), Environmental health