Evidence map›Paper›PMID 27428986›Full record

ArticleInternational journal of environmental research and public health2016

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

Bin Chen, Jun Yang, Lei Luo, Zhicong Yang, Qiyong Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  6. Article
  7. Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.International journal of environmental research and public health · 2021
    Article
  8. Tackling the Ubiquity of Plastic Waste for Human and Planetary Health.The American journal of tropical medicine and hygiene · 2021
    Review
  9. Article
  10. Article
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  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bin ChenState 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. drchenbin@126.com.
Jun YangState 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. smart_yjun@163.com.
Lei LuoGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China. llyeyq@163.com.
Zhicong YangGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China. gdgzcdc@163.com.
Qiyong LiuState 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. liuqiyong@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdolescentAdultAgedAnimalsAwarenessCase-Control StudiesChinaDengueEnvironmentFemaleHealth Knowledge, Attitudes, PracticeHumansLogistic ModelsMaleMiddle AgedMosquito Controldengue feverknowledgelifestylerisk factorsvector control

Identifiers

PMID27428986
PMCPMC4962253

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.