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

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. 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.
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    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.

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