IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i2p217-d91143.html
   My bibliography  Save this article

Comparison of Influenza Epidemiological and Virological Characteristics between Outpatients and Inpatients in Zhejiang Province, China, March 2011–June 2015

Author

Listed:
  • Wei Cheng

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China
    Field Epidemiology Training Programme of Zhejiang Province, Hangzhou 310051, China)

  • Zhao Yu

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

  • Shelan Liu

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

  • Xueying Zhang

    (The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX 77030, USA)

  • Xiaoxiao Wang

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

  • Jian Cai

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

  • Feng Ling

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

  • Enfu Chen

    (Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou 310051, China)

Abstract

Given the rapid rate of global spread and consequently healthcare costs related to influenza, surveillance plays an important role in monitoring the emerging pandemics in China. However, the characteristics of influenza in Southeast of China haven’t been fully studied. Our study use the surveillance data collected from 16 sentinel hospitals across Zhejiang Province during March 2011 through June 2015, including the demographic information and respiratory specimens from influenza-like illness (ILI) patients and severe acute respiratory illness (SARI) patients. As analysis results, most SARI and ILI patients were in the age group of 0–4 years old (62.38% of ILI and 71.54% of SARI). The respiratory specimens have statistically significantly higher positive rate for influenza among ILI patients than that among SARI patients ( p < 0.001). The comparison between ILI patients and SARI patients shows no statistically significantly difference in detecting influenza virus type and influenza A virus subtype. The SARI and ILI patients were found to be positively correlated for overall positive rate (r = 0.63, p < 0.001), the weekly percentage of A(H1N1)pdm09 (r = 0.51, p < 0.001), influenza B virus (r = 0.17, p = 0.013), and A/H3N2 (r = 0.43, p < 0.001) among all the positive numbers. Our study demonstrated that the activities of influenza virus, including its subtypes, had a similar temporal pattern between ILI and SARI cases.

Suggested Citation

  • Wei Cheng & Zhao Yu & Shelan Liu & Xueying Zhang & Xiaoxiao Wang & Jian Cai & Feng Ling & Enfu Chen, 2017. "Comparison of Influenza Epidemiological and Virological Characteristics between Outpatients and Inpatients in Zhejiang Province, China, March 2011–June 2015," IJERPH, MDPI, vol. 14(2), pages 1-12, February.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:217-:d:91143
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/2/217/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/14/2/217/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lei Zhou & Sujian Situ & Ting Huang & Shixiong Hu & Xianjun Wang & Xiaoping Zhu & Lidong Gao & Zhong Li & Ao Feng & Hui Jin & Shiyuan Wang & Qiru Su & Zhen Xu & Zijian Feng, 2013. "Direct Medical Cost of Influenza-Related Hospitalizations among Severe Acute Respiratory Infections Cases in Three Provinces in China," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-6, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaozhen Lai & Hongguo Rong & Xiaochen Ma & Zhiyuan Hou & Shunping Li & Rize Jing & Haijun Zhang & Yun Lyu & Jiahao Wang & Huangyufei Feng & Zhibin Peng & Luzhao Feng & Hai Fang, 2021. "The Economic Burden of Influenza-Like Illness among Children, Chronic Disease Patients, and the Elderly in China: A National Cross-Sectional Survey," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    2. Joke Bilcke & Samuel Coenen & Philippe Beutels, 2014. "Influenza-Like-Illness and Clinically Diagnosed Flu: Disease Burden, Costs and Quality of Life for Patients Seeking Ambulatory Care or No Professional Care at All," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-11, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:217-:d:91143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.