Evidence map›Paper›PMID 31304186›Full record

ArticleOpen forum infectious diseases2019

Dengue Underestimation in Guangzhou, China: Evidence of Seroprevalence in Communities With No Reported Cases Before a Large Outbreak in 2014.

Qinlong Jing, Yilan Li, Jianhua Liu, Liyun Jiang, Zongqiu Chen, Wenzhe Su, Guthrie S Birkhead, Jiahai Lu, Zhicong Yang

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
2.2field-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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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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 3 institutions in 2 countries.

Qinlong JingDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.ORCID 0000-0002-7693-9220
Yilan LiDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Jianhua LiuDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Liyun JiangDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Zongqiu ChenDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Wenzhe SuDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Guthrie S BirkheadDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, US.
Jiahai LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, People's Republic of China.
Zhicong YangDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, People's Republic of China.
Guangzhou Center for Disease Control and Prevention · CNAlbany State University · USSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDengue has become a serious public health problem in southern China particularly with a record-breaking outbreak in 2014. Serological evidence from areas with no known dengue cases reported prior to 2014 could provide information on possible unrecognized circulation of dengue virus (DENV) before this outbreak.

methodBetween March and May 2015, we performed a cross-sectional serosurvey using a stratified random sampling method among individuals aged 1-84 years-old in 7 communities in Guangzhou with no reported dengue cases before 2014. Sera of subjects were initially screened with the indirect DENV IgG enzyme-linked immunosorbent assay, and positive samples were further tested by the indirect immunofluorescence assay to identify specific serotypes.

resultsA total of 850 subjects had complete information available. The overall seroprevalence against DENV was 6.59% (56 of 850; 95% CI, 4.92%-8.26%). The seroprevalence increased with age in general (3.86%, 4.58%, 8.72%, 7.22%, and 10.69% among participants in ≤14, 15-29, 30-44, 45-59 and ≥60 years age group, respectively). Living in rural or peri-urban communities and longer years of residence therein were risk factors for higher seroprevalence, whereas wearing long sleeves and pants when outdoors was associated with lower seroprevalence. Of the total subjects, 55.36% (31 of 56) sera were successfully identified with specific serotypes, with 12.90% (4 of 31) being coinfected with 2 serotypes.

conclusionsDengue transmission in the study communities had occurred prior to the 2014 massive outbreak, possibly for many years, but went undiagnosed and unreported. A proportion of the study population experienced secondary infection as different serotypes of DENV increased the risk for severe diseases. Active surveillance and education of both healthcare providers and the general population should be conducted in areas at risk for dengue emergence in order to better reduce disease burden.

Indexed as

Chinadenguerural areasseroprevalenceunderestimation

Identifiers

PMID31304186
PMCPMC6612883
OpenAlexW2948767365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.