Evidence map›Paper›PMID 30791547›Full record

ArticleInternational journal of environmental research and public health2019

Risk Factors Associated with Dengue Virus Infection in Guangdong Province: A Community-Based Case-Control Study.

Jundi Liu, Xiaolu Tian, Yu Deng, Zhicheng Du, Tianzhu Liang, Yuantao Hao, Dingmei Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Jundi LiuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. liujd5@mail2.sysu.edu.cn.
Xiaolu TianSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. tianxlu@mail2.sysu.edu.cn.
Yu DengSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. dengyu9@mail.sysu.edu.cn.
Zhicheng DuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. duzhch3@mail2.sysu.edu.cn.
Tianzhu LiangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. tianzhu@bu.edu.
Yuantao HaoSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. haoyt@mail.sysu.edu.cn.
Dingmei ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. zhdingm@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever (DF) is a mosquito-borne infectious disease that is now an epidemic in China, Guangdong Province, in particular and presents high incidence rates of DF. Effective preventive measures are critical for controlling DF in China given the absence of a licensed vaccination program in the country. This study aimed to explore the individual risk factors for the dengue virus infection in Guangdong Province and to provide a scientific basis for the future prevention and control of DF. A case-control study including 237 cases and 237 controls was performed. Cases were defined for samples who were IgG-antibody positive or IgM-antibody positive, and willing to participate in the questionnaire survey. Additionally, the controls were selected through frequency matching by age, gender and community information from individuals who tested negative for IgG and IgM and volunteered to become part of the samples. Data were collected from epidemiological questionnaires. Univariate analysis was performed for the preliminary screening of 28 variables that were potentially related to dengue virus infection, and multivariate analysis was performed through unconditioned logistic regression analysis to analyze statistically significant variables. Multivariate analysis revealed two independent risk factors: Participation in outdoor sports (odds ratio (OR) = 1.80, 95% confidence interval (CI) 1.17 to 2.78), and poor indoor daylight quality (OR = 2.27, 95% CI 1.03 to 5.03). Two protective factors were identified through multivariate analysis: 2 occupants per room (OR = 0.43, 95% CI 0.28 to 0.65) or ≥3 occupants per room (OR = 0.45, 95% CI 0.23 to 0.89) and air-conditioner use (OR = 0.46, 95% CI 0.22 to 0.97). The results of this study were conducive for investigating the risk factors for dengue virus infection in Guangdong Province. Effective and efficient strategies for improving environmental protection and anti-mosquito measures must be provided. In addition, additional systematic studies are needed to explore other potential risk factors for DF.

Indexed as

AdultAnimalsCase-Control StudiesChinaCulicidaeDengueDengue VirusFemaleHumansMaleMiddle AgedOdds RatioRisk FactorsAedes albopictusdengue feverliving environmentlogistic regression analysis

Identifiers

PMID30791547
PMCPMC6406885

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Registered trials

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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.