IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i7p712-d73954.html
   My bibliography  Save this article

Who Is Vulnerable to Dengue Fever? A Community Survey of the 2014 Outbreak in Guangzhou, China

Author

Listed:
  • Bin Chen

    (State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    China CDC Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102211, China
    Xiamen Entry-Exit Inspection and Quarantine Bureau, Xiamen 361012, China)

  • Jun Yang

    (State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    China CDC Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102211, China)

  • Lei Luo

    (Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China)

  • Zhicong Yang

    (Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China)

  • Qiyong Liu

    (State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    China CDC Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102211, China)

Abstract

Unprecedented dengue fever (DF) outbreaks impel China to develop useful disease control strategies. Integrated vector management (IVM) focuses on identifying vulnerable populations and interrupting human–vector contact; however, vulnerable populations have not been clearly identified in China. We conducted a case-control study during the initial stage of the 2014 DF outbreak in Guangzhou, China to assess risk factors for DF infection. Cases were randomly sampled from the National Notifiable Infectious Disease Reporting Information System (NNIDRIS). Controls were healthy individuals recruited from 17 DF infected communities through cluster sampling. A structured questionnaire on demographics, knowledge, practices, and living environment was administered to participants (165 cases; 492 controls). Logistic regression models identified characteristics of vulnerable populations. Awareness of dengue (OR = 0.08, 95% CI = 0.04–0.17), removing trash and stagnant water from around the residence (OR = 0.02, 95% CI = 0.00–0.17), and using mosquito repellent oils (OR = 0.36, 95% CI = 0.16–0.81) were protective factors. Living in an old flat or shed (OR = 2.38, 95% CI = 1.18–4.79) was a risk factor. Coils and bed nets were not protective due to incorrect knowledge of use. Using mosquito repellent oils and other protective measures can reduce vulnerability to DF infection.

Suggested Citation

  • Bin Chen & Jun Yang & Lei Luo & Zhicong Yang & Qiyong Liu, 2016. "Who Is Vulnerable to Dengue Fever? A Community Survey of the 2014 Outbreak in Guangzhou, China," IJERPH, MDPI, vol. 13(7), pages 1-11, July.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:7:p:712-:d:73954
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/7/712/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/7/712/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marta Castro & Lizet Sánchez & Dennis Pérez & Carlos Sebrango & Ziv Shkedy & Patrick Van der Stuyft, 2013. "The Relationship between Economic Status, Knowledge on Dengue, Risk Perceptions and Practices," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-6, December.
    2. Jingchun Fan & Wanxia Wei & Zhenggang Bai & Chunling Fan & Shulan Li & Qiyong Liu & Kehu Yang, 2014. "A Systematic Review and Meta-Analysis of Dengue Risk with Temperature Change," IJERPH, MDPI, vol. 12(1), pages 1-15, December.
    3. Li Ping Wong & Sazaly AbuBakar & Karuthan Chinna, 2014. "Community Knowledge, Health Beliefs, Practices and Experiences Related to Dengue Fever and Its Association with IgG Seropositivity," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 8(5), pages 1-13, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sumaira Zafar & Oleg Shipin & Richard E. Paul & Joacim Rocklöv & Ubydul Haque & Md. Siddikur Rahman & Mayfong Mayxay & Chamsai Pientong & Sirinart Aromseree & Petchaboon Poolphol & Tiengkham Pongvongs, 2021. "Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand," IJERPH, MDPI, vol. 18(17), pages 1-25, September.
    2. Ibrahim Alkhaldy & Ross Barnett, 2021. "Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 18(24), pages 1-15, December.
    3. Von Ralph Dane M. Herbuela & Ferdinand S. de Guzman & Girly D. Sobrepeña & Andrew Benedict F. Claudio & Angelica Cecilia V. Tomas & Carmina M. Arriola-delos Reyes & Rachele A. Regalado & Mariama M. Te, 2019. "Knowledge, Attitude, and Practices Regarding Dengue Fever among Pediatric and Adult In-Patients in Metro Manila, Philippines," IJERPH, MDPI, vol. 16(23), pages 1-15, November.

    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. Tanvir Abir & O’mezie Ekwudu & Nazmul Ahsan Kalimullah & Dewan Muhammad Nur-A Yazdani & Abdullah Al Mamun & Palash Basak & Uchechukwu Levi Osuagwu & P Yukthamarani Permarupan & Abdul Hasnat Milton & S, 2021. "Dengue in Dhaka, Bangladesh: Hospital-based cross-sectional KAP assessment at Dhaka North and Dhaka South City Corporation area," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-17, March.
    2. Rui Jie Ng & Zhuo Lin Chong & Mohd Hatta Abdul Mutalip & Chiu-Wan Ng, 2022. "Dengue Seroprevalence and Factors Associated with Dengue Seropositivity in Petaling District, Malaysia," IJERPH, MDPI, vol. 19(12), pages 1-16, June.
    3. Renaud Marti & Zhichao Li & Thibault Catry & Emmanuel Roux & Morgan Mangeas & Pascal Handschumacher & Jean Gaudart & Annelise Tran & Laurent Demagistri & Jean-François Faure & José Joaquín Carvajal & , 2020. "A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires," Post-Print hal-02682042, HAL.
    4. Ernesto R Gregorio Jr. & John Robert C Medina & Marian Fe Theresa C Lomboy & Andre Dominic P Talaga & Paul Michael R Hernandez & Mitsuya Kodama & Jun Kobayashi, 2019. "Knowledge, attitudes, and practices of public secondary school teachers on Zika Virus Disease: A basis for the development of evidence-based Zika educational materials for schools in the Philippines," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-19, March.
    5. Huong Van Nguyen & Phung Quoc Tat Than & Tu Huu Nguyen & Giang Thu Vu & Chi Linh Hoang & Tung Thanh Tran & Nu Thi Truong & Son Hoang Nguyen & Huyen Phuc Do & Giang Hai Ha & Huong Lan Thi Nguyen & Anh , 2019. "Knowledge, Attitude and Practice about Dengue Fever among Patients Experiencing the 2017 Outbreak in Vietnam," IJERPH, MDPI, vol. 16(6), pages 1-12, March.
    6. Éric Daudé & Sumit Mazumdar & Vandana Solanki, 2017. "Widespread fear of dengue transmission but poor practices of dengue prevention: A study in the slums of Delhi, India," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-12, February.
    7. Jehangir Khan & Abdul Ghaffar & Shujaat Ali Khan, 2018. "The changing epidemiological pattern of Dengue in Swat, Khyber Pakhtunkhwa," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-14, April.
    8. Rhanye Mac Guad & Yuan Seng Wu & Yin Nwe Aung & Shamala Devi Sekaran & André Barretto Bruno Wilke & Wah Yun Low & Maw Shin Sim & Rogie Royce Carandang & Mohammad Saffree Jeffree & Hamed Taherdoost & C, 2021. "Different Domains of Dengue Research in Malaysia: A Systematic Review and Meta-Analysis of Questionnaire-Based Studies," IJERPH, MDPI, vol. 18(9), pages 1-30, April.
    9. Jian-Wei Xu & Hui Liu & Didan Ai & Yan Yu & Bian Yu, 2019. "The Shan people’s health beliefs, knowledge and perceptions of dengue in Eastern Shan Special Region IV, Myanmar," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(6), pages 1-15, June.

    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:13:y:2016:i:7:p:712-:d:73954. 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.