Increase in cases of dengue in China, 2004-2016: A retrospective observational study.


Journal

Travel medicine and infectious disease
ISSN: 1873-0442
Titre abrégé: Travel Med Infect Dis
Pays: Netherlands
ID NLM: 101230758

Informations de publication

Date de publication:
Historique:
received: 14 03 2019
revised: 13 09 2019
accepted: 14 04 2020
pubmed: 23 4 2020
medline: 21 8 2021
entrez: 23 4 2020
Statut: ppublish

Résumé

Dengue fever (DF) is a vector-bore infectious disease that can infect humans, and has been recognized as a global public health threat, with significant morbidity and mortality rates. To describe the epidemiological profile of DF in China during 2004-2016, the morbidity data of DF by age-group, season (different months) and geographic location (different provinces) were obtained from the public health science data center of China for subsequent epidemiological analysis. The results showed that the incidence of DF shows striking annual variations, and two large outbreaks occurred in 2006-2007 and during 2012-2015. The results of the average morbidity rates (cases/100,000 population) for human DF indicated that among all dengue fever cases, Guangdong in southern area of China had the highest rates (3.8160 cases/100,000 population), followed by Yunnan (0.6614 cases/100,000 population), Fujian (0.3463 cases/100,000 population) and Guangxi (0.1474 cases/100,000 population). Epidemic peaks occurred in late June and early November, and the incidence rate among middle-aged people (30-45 years old) was relatively high, followed by rates among 15-29 and 45-59 age groups. In this study, we demonstrated the epidemiological profile of DF circulating in China and revealed the geographic distribution, dynamic transmission, seasonal asymmetries and age distribution, which will provide guidelines on the prevention and control of DF in China. The present investigation is useful in the risk assessment of DF transmission, to predict DF outbreaks and the prevention and control strategies should be used along with surveillance to reduce the spread of DF in China.

Sections du résumé

BACKGROUND
Dengue fever (DF) is a vector-bore infectious disease that can infect humans, and has been recognized as a global public health threat, with significant morbidity and mortality rates.
METHOD
To describe the epidemiological profile of DF in China during 2004-2016, the morbidity data of DF by age-group, season (different months) and geographic location (different provinces) were obtained from the public health science data center of China for subsequent epidemiological analysis.
RESULTS
The results showed that the incidence of DF shows striking annual variations, and two large outbreaks occurred in 2006-2007 and during 2012-2015. The results of the average morbidity rates (cases/100,000 population) for human DF indicated that among all dengue fever cases, Guangdong in southern area of China had the highest rates (3.8160 cases/100,000 population), followed by Yunnan (0.6614 cases/100,000 population), Fujian (0.3463 cases/100,000 population) and Guangxi (0.1474 cases/100,000 population). Epidemic peaks occurred in late June and early November, and the incidence rate among middle-aged people (30-45 years old) was relatively high, followed by rates among 15-29 and 45-59 age groups.
CONCLUSION
In this study, we demonstrated the epidemiological profile of DF circulating in China and revealed the geographic distribution, dynamic transmission, seasonal asymmetries and age distribution, which will provide guidelines on the prevention and control of DF in China. The present investigation is useful in the risk assessment of DF transmission, to predict DF outbreaks and the prevention and control strategies should be used along with surveillance to reduce the spread of DF in China.

Identifiants

pubmed: 32320744
pii: S1477-8939(20)30142-3
doi: 10.1016/j.tmaid.2020.101674
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101674

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Auteurs

Hui Zhang (H)

College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA. Electronic address: ahstuzh@sina.com.

Khalid Mehmood (K)

University College of Veterinary & Animal Sciences, Islamia University of Bahawalpur, 63100, Pakistan.

Yung-Fu Chang (YF)

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA. Electronic address: yc42@cornell.edu.

Yabo Zhao (Y)

Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.

Wencheng Lin (W)

College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.

Zhenyu Chang (Z)

Tibet Agriculture and Animal Husbandry College, Linzhi, 860000, Tibet, China.

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