Evidence map›Paper›PMID 36224651›Full record

ArticleInfectious diseases of poverty2022

A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics.

Liqiang Li, Xiang Guo, Xiaoqing Zhang, Lingzhai Zhao, Li Li, Yuji Wang, Tian Xie, Qingqing Yin, Qinlong Jing, Tian Hu and 12 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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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3 · Its place in the literature

Who cites it

14 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

22 authors.

Liqiang Li *Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
Xiang Guo *Institute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
Xiaoqing ZhangInstitute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
Lingzhai ZhaoInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, Guangdong, China.
Li LiState Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Yuji WangInstitute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
Tian XieKey Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Qingqing YinKey Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Qinlong JingGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China.
Tian HuKey Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Ziyao LiInstitute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
Rangke WuSchool of Foreign Studies, Southern Medical University, Guangzhou, 510515, China.
Wei ZhaoBSL-3 Laboratory (Guangdong), School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Sherman Xuegang XinLaboratory of Biophysics, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Benyun ShiSchool of Computer Science and Technology, Nanjing Tech University, Nanjing, 211816, China.
Jiming LiuDepartment of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong, 999077, China.
Shang XiaNational Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China.
Zhiqiang PengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Zhicong YangGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China.
Fuchun ZhangInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, Guangdong, China. gz8hzfc@126.com.
Xiao-Guang ChenInstitute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China. xgchen2001@hotmail.com.
Xiaohong ZhouInstitute of Tropical Medicine, Southern Medical University, Guangzhou, 510515, China. daizhouxh@163.com.ORCID http://orcid.org/0000-0003-4237-5436

Funding

Impacts of Urbanization on Vector Biology and Transmission of Dengue in ChinaR01AI136850 · NIAID · SOUTHERN MEDICAL UNIVERSITY · PI CHEN, XIAOGUANG · 2018 to 2022
$667k
Foundation for the National Institutes of Health AI136850Guangzhou International Science and Technology Cooperation Program 2012J5100026Guangzhou Synergy Innovation Key Program for Health 201508020263Guangzhou Synergy Innovation Key Program for Health 201803040006National Key R&D Program of China 2020YFC120104National Natural Science Foundation of China 82072311NIAID NIH HHS R01 AI136850
6 · The paper itself

Abstract

backgroundDengue is the fastest spreading arboviral disease, posing great challenges on global public health. A reproduceable and comparable global genotyping framework for contextualizing spatiotemporal epidemiological data of dengue virus (DENV) is essential for research studies and collaborative surveillance.

methodsTargeting DENV-1 spreading prominently in recent decades, by reconciling all qualified complete E gene sequences of 5003 DENV-1 strains with epidemiological information from 78 epidemic countries/areas ranging from 1944 to 2018, we established and characterized a unified global high-resolution genotyping framework using phylogenetics, population genetics, phylogeography, and phylodynamics.

resultsThe defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2-6%, 0.8-2%, and ≤ 0.8%. The global epidemic patterns of DENV-1 showed strong geographic constraints representing stratified spatial-genetic epidemic pairs of Continent-Genotype, Region-Subgenotype and Nation-Clade, thereby identifying 12 epidemic regions which prospectively facilitates the region-based coordination. The increasing cross-transmission trends were also demonstrated. The traditional endemic countries such as Thailand, Vietnam and Indonesia displayed as persisting dominant source centers, while the emerging epidemic countries such as China, Australia, and the USA, where dengue outbreaks were frequently triggered by importation, showed a growing trend of DENV-1 diffusion. The probably hidden epidemics were found especially in Africa and India. Then, our framework can be utilized in an accurate stratified coordinated surveillance based on the defined viral population compositions. Thereby it is prospectively valuable for further hampering the ongoing transition process of epidemic to endemic, addressing the issue of inadequate monitoring, and warning us to be concerned about the cross-national, cross-regional, and cross-continental diffusions of dengue, which can potentially trigger large epidemics.

conclusionsThe framework and its utilization in quantitatively assessing DENV-1 epidemics has laid a foundation and re-unveiled the urgency for establishing a stratified coordinated surveillance platform for blocking global spreading of dengue. This framework is also expected to bridge classical DENV-1 genotyping with genomic epidemiology and risk modeling. We will promote it to the public and update it periodically.

Indexed as

DengueDengue VirusEpidemicsGenotypeHumansPhylogenySerogroupDengue virus serotype-1 (DENV-1)Global genotyping frameworkMolecular epidemiologyMolecular surveillancePhylogeographyPopulation structure

Identifiers

PMID36224651
PMCPMC9556283

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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.