Evidence map›Paper›PMID 29891781›Full record

ArticleInternational journal of environmental research and public health2018

Dengue Infection Spectrum in Guangzhou: A Cross-Sectional Seroepidemiology Study among Community Residents between 2013 and 2015.

Jundi Liu, Yu Deng, Qinlong Jing, Xiashi Chen, Zhicheng Du, Tianzhu Liang, Zhicong Yang, Dingmei Zhang, Yuantao Hao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. 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

9 authors at 2 institutions in 1 country.

Jundi LiuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. liujd5@mail2.sysu.edu.cn.
Yu DengSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. dengyu9@mail.sysu.edu.cn.
Qinlong JingDepartment of Infectious Disease, Guangzhou Centre for Disease Control and Prevention, Guangzhou 510440, China. jingqinlong@126.com.
Xiashi ChenSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. xiashi1991@sina.com.
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.
Zhicong YangDepartment of Infectious Disease, Guangzhou Centre for Disease Control and Prevention, Guangzhou 510440, China. yangzc@gzcdc.org.cn.
Dingmei ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. zhdingm@mail.sysu.edu.cn.
Yuantao HaoSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. haoyt@mail.sysu.edu.cn.
Sun Yat-sen University · CNGuangzhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of dengue virus infections are asymptomatic, which could potentially facilitate the transmission of dengue fever and increase the percentage of sever dengue fever manifestations. This cross-sectional study explored the sero-prevalence of dengue virus infection in Guangzhou to clarify the infection spectrum. In total, 2085 serum samples were collected from residents of 34 communities. All samples were selected from a 200,000-sample database holding serum collected from community residents living in Liwan and Yuexiu districts of Guangzhou between September 2013 and August 2015, and 17 to 28 individuals of each age group were chosen per month. Dengue immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies were tested by enzyme-linked immunosorbent assay. Symptomatic infected individuals were identified via follow-up questionnaires. Among 2085 serum samples, anti-dengue IgG and IgM positive rates were 11.80% and 3.98%, respectively. The IgG antibody positive rate increased with age and was higher in poorly educated people than in highly educated people and in married individuals than in single individuals. Approximately 96.71% of dengue virus infections and an estimated 13.68% of the whole population were asymptomatic. Such high asymptomatic-infection rates have an impact on the local spread of dengue fever. Stricter surveillance, such as a network of rapid diagnostic laboratories, screening of residents in the epidemic season, and other integrated control measures are necessary.

Indexed as

AdolescentAdultChildChinaCross-Sectional StudiesDengueDengue VirusFemaleHumansInfantMaleMiddle AgedPopulation SurveillanceSeroepidemiologic StudiesUrban Populationasymptomatic-infectiondengue virus antibodyinfection spectrumseroepidemiology

Identifiers

PMID29891781
PMCPMC6025390
OpenAlexW2807645182

What OpenQuestion holds

Textmetadata
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.