Clinical and epidemiological features of the 2014 large-scale dengue outbreak in Guangzhou city, China

Lin, Yu; Luo, Yasha; Chen, Yuan; Lamers, Mart M.; Zhou, Qiang; Xiao, Yang; Sanyal, Sumana; Mok, Chris Ka Pun; Liu, Zhong Min

doi:10.1186/s12879-016-1379-4

Cited by 33 publications

(35 citation statements)

References 16 publications

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“…Dengue outbreaks worldwide have progressively increased [9][10][11][12][13][14], with recent outbreaks in the North Africa and Middle East regions [1,15,16]. In recent years, bibliometric analysis has been widely conducted to evaluate scientific research activities in many fields of infectious diseases such as chikungunya [17], Ebola virus disease [18,19], influenza [20], John Cunningham virus [21], leishmaniasis [22,23], Mayaro virus fever [24], Malaria [25], yellow fever disease [26], and Zika virus [27].…”

Section: Introductionmentioning

confidence: 99%

Dengue research: a bibliometric analysis of worldwide and Arab publications during 1872–2015

Zyoud

2016

Virol J

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BackgroundDengue is an important emerging and re-emerging arboviral infection globally as a rapidly growing and widespread public health problem, with transmission occurring in more than 128 countries in Asia, Americas, southeast Africa, western Pacific, and eastern Mediterranean regions. Therefore, the aim of this study was to characterize and quantify the scientific output of dengue research in Arab countries relative to that worldwide by using a bibliometric analysis.MethodsThe standardized search approach based on the use of the the keyword “dengue” in the title, abstract, and keyword field was used to get research output related to dengue at a global level. All data related to dengue were collected from the past to December 31, 2015.ResultsA total of 19,581 dengue-related documents identified in the Scopus database. The results show that the study of dengue exhibits an overall upward trend from 1872 to 2015 with peak publications in 2014. The leading countries in dengue research were the USA (4,709; 24.05 %), India (1,942; 9.92 %), Brazil (1,530; 7.81 %), Thailand (1,260; 6.43 %), the UK (1,129; 5.77 %), and France (1,087; 5.55 %). Only 226 (1.16 % of the overall global research effort in the dengue field) articles were published from the Arab region. The total number of citations for all publications was 352,710, with an average of 18.0 citations per publication. Furthermore, the h-index for all extracted data related to dengue research was 186. Kingdom of Saudi Arabia (KSA) was the most productive country in Arab region with 102 documents representing 45.1 %. Furthermore, the h-index for all extracted data related to dengue research was 27. The USA was Arab’s most main cooperative partner (46, 20.4 %), followed by India (36, 15.9 %).ConclusionsThe amount of literature related to dengue research has considerably increased over the last decade. This bibliometric analysis has demonstrated the leading role that the USA, India, Brazil, Thailand, the UK, and France play in dengue research. The Arab world produced fewer publications related to dengue with lower quality than other world countries.

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Section: Introductionmentioning

confidence: 99%

Dengue research: a bibliometric analysis of worldwide and Arab publications during 1872–2015

Zyoud

2016

Virol J

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“…In 2010, an estimated 390 million dengue infections occurred, of which around 96 million showed symptoms (3). Dengue outbreaks in China were previously thought to be imported and initiated by people traveling to China from dengue-endemic areas elsewhere (4); however, recent studies suggest that dengue may now be endemic to China as well (2). The epidemiological triangle of both dengue fever and dengue hemorrhagic fever, which is the more serious form of dengue, includes hosts (humans), pathogens (one or more of five dengue virus serotypes) (5), and mosquito vectors (Aedes albopictus and Aedes aegypti) with their ecological interactions (6).…”

mentioning

confidence: 99%

“…dengue | climate | structural equation model | zero-inflated generalized additive models | prediction D engue is one of the most rapidly spreading diseases in the world (1), including within the Guangdong province of southern China (2). During the last 50 y, the incidence of dengue has increased 30-fold with increasing geographic expansion to new countries (1).…”

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confidence: 99%

Climate variation drives dengue dynamics

Stige

Chan

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

194

156

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Dengue, a viral infection transmitted between people by mosquitoes, is one of the most rapidly spreading diseases in the world. Here, we report the analyses covering 11 y (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) from the city of Guangzhou in southern China. Using the first 8 y of data to develop an ecologically based model for the dengue system, we reliably predict the following 3 y of dengue dynamics-years with exceptionally extensive dengue outbreaks. We demonstrate that climate conditions, through the effects of rainfall and temperature on mosquito abundance and dengue transmission rate, play key roles in explaining the temporal dynamics of dengue incidence in the human population. Our study thus contributes to a better understanding of dengue dynamics and provides a predictive tool for preventive dengue reduction strategies.D engue is one of the most rapidly spreading diseases in the world (1), including within the Guangdong province of southern China (2). During the last 50 y, the incidence of dengue has increased 30-fold with increasing geographic expansion to new countries (1). In 2010, an estimated 390 million dengue infections occurred, of which around 96 million showed symptoms (3). Dengue outbreaks in China were previously thought to be imported and initiated by people traveling to China from dengue-endemic areas elsewhere (4); however, recent studies suggest that dengue may now be endemic to China as well (2). The epidemiological triangle of both dengue fever and dengue hemorrhagic fever, which is the more serious form of dengue, includes hosts (humans), pathogens (one or more of five dengue virus serotypes) (5), and mosquito vectors (Aedes albopictus and Aedes aegypti) with their ecological interactions (6). The dengue outbreaks are qualitatively known to be strongly influenced by temperature (7), humidity, rainfall, and socioeconomic factors like urbanization (8). However, a full understanding of the quantitative nature of such effects is largely lacking. With this paper, we provide such a quantitative understanding of dengue dynamics.In 2014, an extensive dengue outbreak hit China, with 47,127 dengue cases diagnosed, a new record since 1986 (9). Since the 1990s, dengue epidemics have gradually spread from Guangdong, Hainan, and Guangxi provinces (9). We present here a time series analysis of dengue dynamics, using dengue surveillance data for the years 2005−2015 from Guangzhou, the largest city in Guangdong and the city with the most dengue cases in China. We split the main analysis by using the first 8 y to develop a model, and the three remaining years to test that model, as these latter years encompass exceptionally extensive dengue outbreaks.Monthly human dengue incidence data (number of diagnosed cases) were obtained from the China National Notifiable Disease Surveillance System (10) (Fig. 1). Monthly surveillance data of A. albopictus density, the only dengue vector species in Guangzhou, were obtained from local Centers for Disease Control and Prevention (11) (Metho...

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“…Therefore, the candidate protein I-E and III-E can be applicable in clinical detection if the patients are characterized in more detail and divided into more precise subgroups. We note that our sera were collected during the 2014 dengue outbreak in Guangzhou, China, where serotype I is predominant (32). As a result, only a few sera of other serotypes were collected, which limited our ability to identify serotype-specific biomarkers.…”

Section: Detection Of Dynamic Igg Responses For I-e and Iii-e After Dmentioning

confidence: 99%

Rapid Production of Virus Protein Microarray Using Protein Microarray Fabrication through Gene Synthesis (PAGES)

Zhou²,

Czajkowsky³

et al. 2017

Molecular & Cellular Proteomics

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The high genetic variability of RNA viruses is a significant factor limiting the discovery of effective biomarkers, the development of vaccines, and characterizations of the immune response during infection. Protein microarrays have been shown to be a powerful method in biomarker discovery and the identification of novel protein-protein interaction networks, suggesting that this technique could also be very useful in studies of infectious RNA viruses. However, to date, the amount of genetic material required to produce protein arrays, as well as the time- and labor-intensive procedures typically needed, have limited their more widespread application. Here, we introduce a method, protein microarray fabrication through gene synthesis (PAGES), for the rapid and efficient construction of protein microarrays particularly for RNA viruses. Using dengue virus as an example, we first identify consensus sequences from 3,604 different strains and then fabricate complete proteomic microarrays that are unique for each consensus sequence. To demonstrate their applicability, we show that these microarrays can differentiate sera from patients infected by dengue virus, related pathogens, or from uninfected patients. We anticipate that the microarray and expression library constructed in this study will find immediate use in further studies of dengue virus and that, more generally, PAGES will become a widely applied method in the clinical characterization of RNA viruses.

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Clinical and epidemiological features of the 2014 large-scale dengue outbreak in Guangzhou city, China

Cited by 33 publications

References 16 publications

Dengue research: a bibliometric analysis of worldwide and Arab publications during 1872–2015

Dengue research: a bibliometric analysis of worldwide and Arab publications during 1872–2015

Climate variation drives dengue dynamics

Rapid Production of Virus Protein Microarray Using Protein Microarray Fabrication through Gene Synthesis (PAGES)

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