Imported dengue serotype 1 outbreak in a non-endemic region, China, 2017: A molecular and seroepidemiological study

Yao, Mingxiao; Wu, Shuzhi; Wang, Guolin; Wang, Xuejun; Fan, Wenjuan; Zhang, Weiguo; Yang, Linlin; Sun, Dianjianyi; Liu, Jia-ye; Wu, Julong; Zhai, Wei; Wang, Zhiqiang; Jia, Chongqi; Xiao, Jing; Ding, Shujun; Wang, Xianjun; Ma, Mai‐Juan

doi:10.1016/j.jinf.2020.06.016

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…This serotype is predominantly epidemic in Asia, America and Oceania. In recent years, it has rapidly diffused, leading to a series of invasive outbreaks in temperate regions such as Madeira Island [ 37 ], Italy [ 38 ], and northern China [ 39 ]. Since five distinct genotypes (I, II, III, IV, and V) of DENV-1 have been identified based on complete E gene [ 17 ], E/NS1 gene junction [ 40 ], or genomic sequences [ 27 ], we limited our attention to DENV-1 and tried in this study to further define a unified global population framework of DENV-1 with higher spatiotemporal resolution, based on phylogenetics and population genetics, and characterize the transmission dynamics and geographical distribution of each viral population at stratified genotyping and geographical levels.…”

Section: Introductionmentioning

confidence: 99%

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

Guo

Zhang

et al. 2022

Infect Dis Poverty

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Background Dengue 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. Methods Targeting 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. Results The 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. Conclusions The 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. Graphical Abstract

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Section: Introductionmentioning

confidence: 99%

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

Guo

Zhang

et al. 2022

Infect Dis Poverty

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“…The number of dengue episodes increased by 291.22% in China from 1990 to 2019, and the ASR had an increasing trend in 2011–2019. The imported cases (from Southeast Asia and Western Pacific countries) might contribute to dengue infection in China [ 40 – 42 ]. With the increasing number of imported cases, local dengue infection outbreaks have occurred more frequently [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

The Global Trends and Regional Differences in Incidence of Dengue Infection from 1990 to 2019: An Analysis from the Global Burden of Disease Study 2019

Jing

et al. 2021

Infect Dis Ther

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Introduction Dengue, as a neglected tropical disease, brings a heavy socioeconomic burden. To provide tailored global prevention strategies, we analyzed the global trends and regional differences in incidence of dengue infection from 1990 to 2019. Methods We obtained data on annual dengue episodes and incidence rates, which reflected the epidemic status of dengue infection from the 2019 Global Burden of Disease (GBD) Study. The changes in dengue episodes and estimated annual percentage changes (EAPCs) of the age-standardized incidence rate (ASR) were calculated to quantify the temporal trends of dengue infection. Results Globally, dengue ASR increased by 1.70% (95% CI 1.62%–1.78%) per year from 1990 to 2011; subsequently, it decreased by 0.41% (95% CI 0.20%–0.62%) per year from 2011 to 2019. However, the global number of dengue episodes increased steadily by 85.47% from 30.67 million in 1990 to 56.88 million in 2019. Against the global trend of decreasing ASR from 2011 to 2019, an increasing trend was reported in Oceania (EAPC 11.01, 95% CI 8.79–13.27), East Asia (EAPC 4.84, 95% CI 2.70–7.03) and Southeast Asia (EAPC 0.38, 95% CI 0.13–0.62). For socio-demographic index (SDI) regions, ASR continued to have an increasing trend in the middle (EAPC 0.26, 95% CI 0.07–0.45) and high-middle (EAPC 1.70, 95% CI 0.98–2.42) SDI regions from 2011 to 2019. In contrast to the global peak age of dengue incidence rate (10 to 25 years), the dengue incidence rate of older people (> 65 years) was higher than in other age groups in low and low-middle SDI regions. Additionally, the proportions of dengue episodes in the > 70-year-old age group increased in 2019 (using the baseline in 1990 or 2011) in most GBD regions. Conclusions Global dengue episodes have increased tremendously in 3 decades. Although global dengue ASR decreased in the last decade, it is still increasing in hyperendemic regions including Oceania, East Asia and Southeast Asia, and also in the middle and high-middle SDI regions. More attention should be paid to the elderly because of the higher dengue incidence rate among them in low and low-middle SDI regions and the increased proportions of dengue episodes among the elderly in most GBD regions. Therefore, more efforts should be undertaken to develop targeted prevention strategies for crucial regions and older populations. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-021-00470-2.

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“…The escalating disease burden of dengue is broadly attributed to such intricate factors as unplanned urbanization, climatic warming, international trade, and tra c integration, all of which contribute to its irreversible trend [2]. The rapid spreading of dengue has resulted in a series of invasive outbreaks in temperate regions, such as Italy [3] and northern China [4] in recent years. In China, for example, since its re-emergence in 1978 in Foshan of Guangdong province, the disease has developed to become an annual epidemic and spread even from the southeast coastal areas to the northern and western parts of the country [5].…”

Section: Introductionmentioning

confidence: 99%

Phylodynamics unveils invading and diffusing patterns of dengue virus serotype-1 in Guangdong China from 1990 to 2019 under a global genotyping framework

Zhao,

Guo,

et al. 2024

Preprint

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Background The strong invasiveness and rapid expansion of dengue virus (DENV) pose a great challenge to global public health. However, dengue epidemic patterns and mechanisms at a genetic scale, particularly in term of cross-border transmissions, remain poorly understood. Importation is considered as the primary driver of dengue outbreaks in China, and since 1990 a frequent occurrence of large outbreaks have been triggered by the driven importation of more cases and subsequently spread to the western and northern parts of China. Methods To reveal the transmission mechanism, the genetic population structure and epidemic patterns of DENV-1 circulating in mainland China were characterized using phylogenetics, phylogeography, phylodynamics based on DENV-1 E-gene-based globally unified genotyping framework. These analyses were performed on 179 newly assembled genomes from indigenous dengue cases in Guangdong, China and 5152 E gene complete sequences recorded in mainland China. Results Multiple serotypes of DENV were co-circulating in mainland China, particularly in Guangdong and Yunnan provinces. A total of 189 transmission clusters in 38 clades belonging to 22 subgenotypes of genotype I, IV and V of DENV-1 were identified, with 7 Clades of Concern (COCs) responsible for the large outbreaks since 1990. The epidemic periodicity was inferred from the data to be approximately 3 years. Dengue transmission events mainly occurred from Great Mekong Subregion-China (GMS-China), Southeast Asia (SEA), South Asia Subcontinent (SASC), and Oceania (OCE) to coastal and land border cities respectively in southeastern and southwestern China. Specially, Guangzhou was found to be the most dominant receipting hub, where DENV-1 diffused to other cities within the province and even other parts of the country. Genome phylogeny combined with epidemiological investigation demonstrated a clear local consecutive transmission process of 5C1-CN4 of DENV-1 in Guangzhou from 2013 to 2015, while the two provinces of Guangdong and Yunnan played key roles in ongoing transition of dengue epidemic patterns. In contextualizing within Invasion Biology theories, we have proposed a derived three-stage model encompassing the stages of invasion, colonization, and dissemination, which is supposed to enhance our understanding of dengue spreading patterns. Conclusion This study demonstrates the invasion and diffusion process of DENV-1 in mainland China within a global genotyping framework, characterizing the genetic diversities of viral populations, multiple sources of importation, and periodic dynamics of the epidemic. These findings highlight the potential ongoing transition trends from epidemic to endemic status offering a valuable insight into the prevention and control of rapid spreading of dengue only if we are urgently formulate policies for early warning, prevention and control of the disease both in China and worldwide.

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Imported dengue serotype 1 outbreak in a non-endemic region, China, 2017: A molecular and seroepidemiological study

Cited by 10 publications

References 26 publications

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

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

The Global Trends and Regional Differences in Incidence of Dengue Infection from 1990 to 2019: An Analysis from the Global Burden of Disease Study 2019

Phylodynamics unveils invading and diffusing patterns of dengue virus serotype-1 in Guangdong China from 1990 to 2019 under a global genotyping framework

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