» Articles » PMID: 30533054

Epidemiological Profile of Dengue in Zhejiang Province, Southeast China

Overview
Journal PLoS One
Date 2018 Dec 12
PMID 30533054
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Dengue is one of the most important vector-bore infectious diseases in China because of its drastic increase in incidence, geographic extension and profound influence on China's economy. This study aims to retrospectively uncover the epidemiological profile of dengue in Zhejiang, one of the most developed provinces in China, and to find the problem existing in dengue control and prevention.

Methodology: Descriptive analyses on the dengue incidence and associated factors were performed. We also identified potential space-time cluster and generated the risk map of dengue.

Principal Findings: A total of 529 cases were reported in Zhejiang Province from 2005 to 2016, and 44.4% were imported. 67.7% of cases were 25~60 years old and the overall male-to-female sex ratio was 1.09:1. Dengue was reported all year round and 70.7% of cases occurred between August and October. Indigenous cases were only reported in the period between July to November and more than half occurred in September. Geographically, dengue was most distributed in Jinghua (3.62 per million), Shaoxing (1.00 per million) and Taizhou (0.81 per million) prefecture level cities. Outbreaks were confirmed in Yiwu, Keqiao and Huangyan counties in 2009, 2015, and 2016, respectively. 73.9% cases would seek medical advice within two days after onset and be confirmed within 9 days after onset. 75.6% would be recognized as dengue within 8 days after their first visit. The time intervals between onset and confirmation (median 7 vs 6 days; Wilcoxon rank sum test Z = -2.40, P = 0.016), first visit and confirmation (median 7 vs 6 days; Wilcoxon rank sum test Z = -2.59, P = 0.009) of indigenous cases were significantly longer than those of imported ones. However, the time intervals between onset and first visit for indigenous cases was shorter (median 0 vs 1 days; Wilcoxon rank sum test Z = -2.10, P = 0.036). Fever (99.1%), fatigue (81.9), rash (63.7%), headache (67.2%) and myalgia (52.60%) were the most frequently mentioned symptoms.

Conclusions: Zhejiang has recently witnessed an increase in incidence and geographic extension of dengue. Timely diagnosis is important to stop local transmission and outbreak.

Citing Articles

Global prevalence and risk factors of fatigue and post-infectious fatigue among patients with dengue: a systematic review and meta-analysis.

Hertanti N, Nguyen T, Chuang Y EClinicalMedicine. 2025; 80():103041.

PMID: 39844930 PMC: 11751573. DOI: 10.1016/j.eclinm.2024.103041.


Ecological features and insecticide resistance of in Xi'an, a high-risk dengue transmission area in China.

Lei X, Pang S, Zhang Q, Xu K, Xue W, Wu M PeerJ. 2024; 12:e18246.

PMID: 39465170 PMC: 11505881. DOI: 10.7717/peerj.18246.


Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus.

Brass D, Cobbold C, Purse B, Ewing D, Callaghan A, White S Nat Commun. 2024; 15(1):7823.

PMID: 39242617 PMC: 11379831. DOI: 10.1038/s41467-024-52144-5.


Epidemiological Characteristics and Economic Burden of Dengue in Zhejiang Province, China.

Yu Y, Liu Y, Ling F, Sun J, Jiang J Viruses. 2023; 15(8).

PMID: 37632073 PMC: 10458908. DOI: 10.3390/v15081731.


Post-viral fatigue in COVID-19: A review of symptom assessment methods, mental, cognitive, and physical impairment.

Campos M, Nery T, Starke A, Alves A, Speck A, S Aguiar A Neurosci Biobehav Rev. 2022; 142:104902.

PMID: 36202253 PMC: 9528075. DOI: 10.1016/j.neubiorev.2022.104902.


References
1.
Je S, Bae W, Kim J, Seok S, Hwang E . Epidemiological Characteristics and Risk Factors of Dengue Infection in Korean Travelers. J Korean Med Sci. 2016; 31(12):1863-1873. PMC: 5102847. DOI: 10.3346/jkms.2016.31.12.1863. View

2.
Xu G, Dong H, Shi N, Liu S, Zhou A, Cheng Z . An outbreak of dengue virus serotype 1 infection in Cixi, Ningbo, People's Republic of China, 2004, associated with a traveler from Thailand and high density of Aedes albopictus. Am J Trop Med Hyg. 2007; 76(6):1182-8. View

3.
Wang J, Chen H, Huang M, Zhang Y, Xie J, Yan Y . Epidemiological and etiological investigation of dengue fever in the Fujian province of China during 2004-2014. Sci China Life Sci. 2016; 60(1):72-80. DOI: 10.1007/s11427-016-0021-y. View

4.
Guo R, Lin J, Li L, Ke C, He J, Zhong H . The prevalence and endemic nature of dengue infections in Guangdong, South China: an epidemiological, serological, and etiological study from 2005-2011. PLoS One. 2014; 9(1):e85596. PMC: 3900419. DOI: 10.1371/journal.pone.0085596. View

5.
Li Z, Yin W, Clements A, Williams G, Lai S, Zhou H . Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China. BMC Infect Dis. 2012; 12:132. PMC: 3412724. DOI: 10.1186/1471-2334-12-132. View