Evidence map›Paper›PMID 33639996›Full record

ArticleParasites & vectors2021

New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China.

Mengmeng Ma, Sean Wu, Zhenjian He, Lihong Yuan, Zhijun Bai, Liyun Jiang, John Marshall, Jiahai Lu, Zhicong Yang, Qinlong Jing

Abstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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.

  1. Review
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  6. A new lineage nomenclature to aid genomic surveillance of dengue virus.medRxiv : the preprint server for health sciences · 2024
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  8. 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

10 authors.

Mengmeng MaDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, People's Republic of China.
Sean WuDepartment of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
Zhenjian HeDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Lihong YuanSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People's Republic of China.
Zhijun BaiDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, People's Republic of China.
Liyun JiangDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, People's Republic of China.
John MarshallDepartment of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
Jiahai LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Zhicong YangDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, People's Republic of China.
Qinlong JingDepartment of Infectious Diseases, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, People's Republic of China. jingqinlong@126.com.

Funding

Guangdong Medical Research Foundation A2017481Science and Technology Plan Project of Guangzhou 201804010121Science and Technology Plan Project of Guangzhou 201904010154the Collaborative Innovation Project of Bureau of Science and Technology of Guangzhou Municipality 201704020226the Collaborative Innovation Project of Bureau of Science and Technology of Guangzhou Municipality 201803040006the Natural Science Foundation of Guangdong Province S2013010013637the Project for Key Medicine Discipline Construction of Guangzhou Municipality 2017-2019-04
6 · The paper itself

Abstract

backgroundDengue fever is a mosquito-borne infectious disease that has caused major health problems. Variations in dengue virus (DENV) genes are important features of epidemic outbreaks. However, the associations of DENV genes with epidemic potential have not been extensively examined. Here, we assessed new genotype invasion of DENV-1 isolated from Guangzhou in China to evaluate associations with epidemic outbreaks. METHODOLOGY/PRINCIPAL

findingsWe used DENV-1 strains isolated from sera of dengue cases from 2002 to 2016 in Guangzhou for complete genome sequencing. A neighbor-joining phylogenetic tree was constructed to elucidate the genotype characteristics and determine if new genotype invasion was correlated with major outbreaks. In our study, a new genotype invasion event was observed during each significant outbreak period in 2002-2003, 2006-2007, and 2013-2014. Genotype II was the main epidemic genotype in 2003 and before. Invasion of genotype I in 2006 caused an unusual outbreak with 765 cases (relative risk [RR] = 16.24, 95% confidence interval [CI] 12.41-21.25). At the middle and late stages of the 2013 outbreak, genotype III was introduced to Guangzhou as a new genotype invasion responsible for 37,340 cases with RR 541.73 (95% CI 417.78-702.45), after which genotypes I and III began co-circulating. Base mutations occurred after new genotype invasion, and the gene sequence of NS3 protein had the lowest average similarity ratio (99.82%), followed by the gene sequence of E protein (99.86%), as compared to the 2013 strain. CONCLUSIONS/SIGNIFICANCE: Genotype replacement and co-circulation of multiple DENV-1 genotypes were observed. New genotype invasion was highly correlated with local unusual outbreaks. In addition to DENV-1 genotype I in the unprecedented outbreak in 2014, new genotype invasion by DENV-1 genotype III occurred in Guangzhou.

Indexed as

Disease OutbreaksGenotypeSerogroupChinaDengueDengue VirusGenome, ViralHumansPhylogenyRNA, ViralSequence Analysis, DNAWhole Genome SequencingRNA, ViralDengue feverDengue virusEpidemic determinantsNew genotype invasionOutbreak

Identifiers

PMID33639996
PMCPMC7910771

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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.