Literature DB >> 31638154

The long-term changing dynamics of dengue infectivity in Guangdong, China, from 2008-2018: a modelling analysis.

Shi Zhao1,2, Salihu S Musa2, Jiayi Meng3, Jing Qin1, Daihai He2.   

Abstract

BACKGROUND: Dengue remains a severe threat to public health in tropical and subtropical regions. In China, over 85% of domestic dengue cases are in the Guangdong province and there were 53 139 reported cases during 2008-2018. In Guangdong, the 2014 dengue outbreak was the largest in the last 20 y and it was probably triggered by a new strain imported from other regions.
METHODS: We studied the long-term patterns of dengue infectivity in Guangdong from 2008-2018 and compared the infectivity estimates across different periods.
RESULTS: We found that the annual epidemics approximately followed exponential growth during 2011-2014. The transmission rates were at a low level during 2008-2012, significantly increased 1.43-fold [1.22, 1.69] during 2013-2014 and then decreased back to a low level after 2015. By using the mosquito index and the likelihood-inference approach, we found that the new strain most likely invaded Guangdong in April 2014.
CONCLUSIONS: The long-term changing dynamics of dengue infectivity are associated with the new dengue virus strain invasion and public health control programmes. The increase in infectiousness indicates the potential for dengue to go from being imported to becoming an endemic in Guangdong, China.
© The Author(s) 2019. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  China; dengue virus; epidemic; modelling analysis; reproduction number

Mesh:

Year:  2020        PMID: 31638154     DOI: 10.1093/trstmh/trz084

Source DB:  PubMed          Journal:  Trans R Soc Trop Med Hyg        ISSN: 0035-9203            Impact factor:   2.184


  8 in total

1.  Modelling the Measles Outbreak at Hong Kong International Airport in 2019: A Data-Driven Analysis on the Effects of Timely Reporting and Public Awareness.

Authors:  Shi Zhao; Xiujuan Tang; Xue Liang; Marc K C Chong; Jinjun Ran; Salihu S Musa; Guangpu Yang; Peihua Cao; Kai Wang; Benny C Y Zee; Xin Wang; Daihai He; Maggie H Wang
Journal:  Infect Drug Resist       Date:  2020-06-17       Impact factor: 4.003

2.  New estimates of the Zika virus epidemic attack rate in Northeastern Brazil from 2015 to 2016: A modelling analysis based on Guillain-Barré Syndrome (GBS) surveillance data.

Authors:  Daihai He; Shi Zhao; Qianying Lin; Salihu S Musa; Lewi Stone
Journal:  PLoS Negl Trop Dis       Date:  2020-04-29

3.  Large-scale Lassa fever outbreaks in Nigeria: quantifying the association between disease reproduction number and local rainfall.

Authors:  Shi Zhao; Salihu S Musa; Hao Fu; Daihai He; Jing Qin
Journal:  Epidemiol Infect       Date:  2020-01-10       Impact factor: 2.451

4.  Determination of Factors Affecting Dengue Occurrence in Representative Areas of China: A Principal Component Regression Analysis.

Authors:  Xiaobo Liu; Keke Liu; Yujuan Yue; Haixia Wu; Shu Yang; Yuhong Guo; Dongsheng Ren; Ning Zhao; Jun Yang; Qiyong Liu
Journal:  Front Public Health       Date:  2021-01-18

5.  Dengue fever transmission between a construction site and its surrounding communities in China.

Authors:  Xingchun Liu; Meng Zhang; Qu Cheng; Yingtao Zhang; Guoqiang Ye; Xiqing Huang; Zeyu Zhao; Jia Rui; Qingqing Hu; Roger Frutos; Tianmu Chen; Tie Song; Min Kang
Journal:  Parasit Vectors       Date:  2021-01-06       Impact factor: 3.876

6.  Collaboration between meteorology and public health: Predicting the dengue epidemic in Guangzhou, China, by meteorological parameters.

Authors:  Jing Chen; Rui-Lian Ding; Kang-Kang Liu; Hui Xiao; Gang Hu; Xiang Xiao; Qian Yue; Jia-Hai Lu; Yan Han; Jin Bu; Guang-Hui Dong; Yu Lin
Journal:  Front Cell Infect Microbiol       Date:  2022-08-09       Impact factor: 6.073

7.  Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018.

Authors:  Meng Zhang; Jie-Feng Huang; Min Kang; Xing-Chun Liu; Hong-Yan Lin; Ze-Yu Zhao; Guo-Qiang Ye; Sheng-Nan Lin; Jia Rui; Jing-Wen Xu; Yuan-Zhao Zhu; Yao Wang; Meng Yang; Shi-Xing Tang; Qu Cheng; Tian-Mu Chen
Journal:  Trop Med Infect Dis       Date:  2022-08-25

8.  Modelling the effective reproduction number of vector-borne diseases: the yellow fever outbreak in Luanda, Angola 2015-2016 as an example.

Authors:  Shi Zhao; Salihu S Musa; Jay T Hebert; Peihua Cao; Jinjun Ran; Jiayi Meng; Daihai He; Jing Qin
Journal:  PeerJ       Date:  2020-02-27       Impact factor: 2.984

  8 in total

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