2010Chinese Preventive MedicineRequires access

Epidemiological characteristics and prevention of novel influenza A(H1N1) in Quzhou city

Zhan Bing-don

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Abstract

Objective To analyze the epidemiological characteristics of novel influenza A(H1N1),and evaluate prevention measures for the disease control.Methods Epidemic reports and surveillance data of 2009 H1N1 influenza were collected by disease reporting information system in Quzhou city.Statistical analysis was performed with Excel 2003 and SPSS 13.0.Results 238 H1N1 influenza cases had been reported in Quzhou,including 16 severe and 6 critical cases.There was no H1N1 influenza associated mortality case confirmed in 2009,although 61 cases(25.63%) required hospitalized treatment.Kecheng District reported 73.53% of the cases.Most cases were reported in November.Students accounted for 61.34% of H1N1 cases for the period and no infection occurred among health care professionals.The positive proportion of influenza was 59.18%(377/637) for influenza suspect surveillance specimens and 61.80%(233/377) of influenza confirmed cases were H1N1 infection.Conclusion The early viral isolation and confirmation helped the prevention and control of 2009 H1N1 influenza.The joint efforts of quarantine of early cases,vaccination of high risk population,and dynamic observation of epidemic situation were effective in fighting against the challenge of the new emerging influenza strain.

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Objective To analyze the epidemiological characteristics of novel influenza A(H1N1),and evaluate prevention measures for the disease control.Methods Epidemic reports and surveillance data of 2009 H1N1 influenza were collected by disease reporting information system in Quzhou city.Statistical analysis was performed with Excel 2003 and SPSS 13.0.Results 238 H1N1 influenza cases had been reported in Quzhou,including 16 severe and 6 critical cases.There was no H1N1 influenza associated mortality case confirmed in 2009,although 61 cases(25.63%) required hospitalized treatment.Kecheng District reported 73.53% of the cases.Most cases were reported in November.Students accounted for 61.34% of H1N1 cases for the period and no infection occurred among health care professionals.The positive proportion of influenza was 59.18%(377/637) for influenza suspect surveillance specimens and 61.80%(233/377) of influenza confirmed cases were H1N1 infection.Conclusion The early viral isolation and confirmation helped the prevention and control of 2009 H1N1 influenza.The joint efforts of quarantine of early cases,vaccination of high risk population,and dynamic observation of epidemic situation were effective in fighting against the challenge of the new emerging influenza strain.

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Available abstract

Objective To analyze the epidemiological characteristics of novel influenza A(H1N1),and evaluate prevention measures for the disease control.Methods Epidemic reports and surveillance data of 2009 H1N1 influenza were collected by disease reporting information system in Quzhou city.Statistical analysis was performed with Excel 2003 and SPSS 13.0.Results 238 H1N1 influenza cases had been reported in Quzhou,including 16 severe and 6 critical cases.There was no H1N1 influenza associated mortality case confirmed in 2009,although 61 cases(25.63%) required hospitalized treatment.Kecheng District reported 73.53% of the cases.Most cases were reported in November.Students accounted for 61.34% of H1N1 cases for the period and no infection occurred among health care professionals.The positive proportion of influenza was 59.18%(377/637) for influenza suspect surveillance specimens and 61.80%(233/377) of influenza confirmed cases were H1N1 infection.Conclusion The early viral isolation and confirmation helped the prevention and control of 2009 H1N1 influenza.The joint efforts of quarantine of early cases,vaccination of high risk population,and dynamic observation of epidemic situation were effective in fighting against the challenge of the new emerging influenza strain.

Key concepts: Medicine, Epidemiology, Vaccination, Human mortality from H5N1, Epidemiological surveillance, Disease, Disease control, Population

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