Evidence map›Paper›PMID 30375405›Full record

ArticleScientific reports2018

Impact of worker emigration on HIV epidemics in labour export areas: a molecular epidemiology investigation in Guangyuan, China.

Ling Su, Shu Liang, Xueqin Hou, Ping Zhong, Dongbing Wei, Yu Fu, Li Ye, Li Xiong, Yali Zeng, Ying Hu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 23 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

14 authors at 3 institutions in 1 country.

Ling SuCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Shu LiangCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Xueqin HouCenter for AIDS/STD Control and Prevention, Guangyuan Municipal Center for Disease Control and Prevention, Gunagyuan, China.
Ping ZhongDepartment of AIDS and STD, Shanghai Municipal Center for Disease Control and Prevention, Shanghai Municipal Institutes for Preventive Medicine, Shanghai, China.
Dongbing WeiCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Yu FuCenter for AIDS/STD Control and Prevention, Guangyuan Municipal Center for Disease Control and Prevention, Gunagyuan, China.
Li YeCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Li XiongCenter for AIDS/STD Control and Prevention, Guangyuan Municipal Center for Disease Control and Prevention, Gunagyuan, China.
Yali ZengCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Ying HuCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Hong YangCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China.
Bo WuDepartment of Lung Transplant Center, Affiliated Wuxi People's Hospital of Nanjing medical University, Wuxi, Jiangsu, China.
Linglin ZhangCenter for AIDS/STD Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Sichuan, China. zhangllsccdc@163.com.
Xiaoshan LiDepartment of Lung Transplant Center, Affiliated Wuxi People's Hospital of Nanjing medical University, Wuxi, Jiangsu, China. sclxs87@163.com.
Sichuan Center for Disease Control and Prevention · CNWuxi People's Hospital · CNShanghai Municipal Center For Disease Control Prevention · CN

Funding

Department of Science and Technology of Sichuan Province (Sichuan Provincial Department of Science and Technology) 2017JY0302
6 · The paper itself

Abstract

We aimed to investigate the molecular epidemic characteristics and viral transmission patterns of HIV-1 in a typical labor export area, Guangyuan city, China. Based on conducting phylogenetic trees and molecular transmission networks, a phylogenetic analysis was performed on HIV-1 pol sequences obtained from 211 migrant-history workers, 83 non-migrant-history individuals, and 21 migrant-history unknown individuals between January, 2012 and February, 2017 in Guangyuan city. Phylogenetic analysis revealed that CRF07_BC (48.3%, n = 152) and CRF01_AE (33.3%, n = 105) were the dominant strains in Guangyuan city, and circulated by multiple lineages with various epidemic characteristics. Geographic network analysis showed that Guangyuan city-related sequences with 20.3% CRF07_BC and 28.3% CRF01_AE were linked to that of other provinces, compared to that with 1.7% CRF07_BC and 5.0% CRF01_AE in cities of Sichuan. Molecular transmission network analysis further illustrated that migrant-history workers linked more sequences from other provinces than non-migrant-history individuals in both CRF07_BC (29.3% versus 0.0%, P = 0.013) and CRF01_AE (40.5% versus 10.0%, P = 0.001) networks. Our results highlighted that migrant-history workers in recent year played a vital role in fueling HIV-1 epidemic in Guangyuan city. Molecular transmission network analysis could be a useful approach for disclosing the transmission mechanism of HIV, which should be used in prevention and intervention efforts.

Indexed as

Emigration and ImmigrationMolecular EpidemiologyAdultChinaFemaleGenotypeHIV-1HIV InfectionsHomosexuality, MaleHuman MigrationHumansMaleMiddle AgedPhylogenyRNA, ViralTransients and MigrantsRNA, Viral

Identifiers

PMID30375405
PMCPMC6207672
OpenAlexW2898215901

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.