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

Background: With the progress of urbanization, the mobility of people has gradually increased, which has led to the further spread of dengue fever. This study evaluated the transmissibility of dengue fever within districts and between different districts in Zhanjiang City to provide corresponding ad...

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Autores principales: Zhang, Meng, Huang, Jie-Feng, Kang, Min, Liu, Xing-Chun, Lin, Hong-Yan, Zhao, Ze-Yu, Ye, Guo-Qiang, Lin, Sheng-Nan, Rui, Jia, Xu, Jing-Wen, Zhu, Yuan-Zhao, Wang, Yao, Yang, Meng, Tang, Shi-Xing, Cheng, Qu, Chen, Tian-Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501079/
https://www.ncbi.nlm.nih.gov/pubmed/36136620
http://dx.doi.org/10.3390/tropicalmed7090209
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author Zhang, Meng
Huang, Jie-Feng
Kang, Min
Liu, Xing-Chun
Lin, Hong-Yan
Zhao, Ze-Yu
Ye, Guo-Qiang
Lin, Sheng-Nan
Rui, Jia
Xu, Jing-Wen
Zhu, Yuan-Zhao
Wang, Yao
Yang, Meng
Tang, Shi-Xing
Cheng, Qu
Chen, Tian-Mu
author_facet Zhang, Meng
Huang, Jie-Feng
Kang, Min
Liu, Xing-Chun
Lin, Hong-Yan
Zhao, Ze-Yu
Ye, Guo-Qiang
Lin, Sheng-Nan
Rui, Jia
Xu, Jing-Wen
Zhu, Yuan-Zhao
Wang, Yao
Yang, Meng
Tang, Shi-Xing
Cheng, Qu
Chen, Tian-Mu
author_sort Zhang, Meng
collection PubMed
description Background: With the progress of urbanization, the mobility of people has gradually increased, which has led to the further spread of dengue fever. This study evaluated the transmissibility of dengue fever within districts and between different districts in Zhanjiang City to provide corresponding advice for cross-regional prevention and control. Methods: A mathematical model of transmission dynamics was developed to explore the transmissibility of the disease and to compare that between different regions. Results: A total of 467 DF cases (6.38 per 100,000 people) were reported in Zhanjiang City in 2018. In the model, without any intervention, the number of simulated cases in this epidemic reached about 950. The dengue fever transmissions between districts varied within and between regions. When the spread of dengue fever from Chikan Districts to other districts was cut off, the number of cases in other districts dropped significantly or even to zero. When the density of mosquitoes in Xiashan District was controlled, the dengue fever epidemic in Xiashan District was found to be significantly alleviated. Conclusions: When there is a dengue outbreak, timely measures can effectively control it from developing into an epidemic. Different prevention and control measures in different districts could efficiently reduce the risk of disease transmission.
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spelling pubmed-95010792022-09-24 Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018 Zhang, Meng Huang, Jie-Feng Kang, Min Liu, Xing-Chun Lin, Hong-Yan Zhao, Ze-Yu Ye, Guo-Qiang Lin, Sheng-Nan Rui, Jia Xu, Jing-Wen Zhu, Yuan-Zhao Wang, Yao Yang, Meng Tang, Shi-Xing Cheng, Qu Chen, Tian-Mu Trop Med Infect Dis Article Background: With the progress of urbanization, the mobility of people has gradually increased, which has led to the further spread of dengue fever. This study evaluated the transmissibility of dengue fever within districts and between different districts in Zhanjiang City to provide corresponding advice for cross-regional prevention and control. Methods: A mathematical model of transmission dynamics was developed to explore the transmissibility of the disease and to compare that between different regions. Results: A total of 467 DF cases (6.38 per 100,000 people) were reported in Zhanjiang City in 2018. In the model, without any intervention, the number of simulated cases in this epidemic reached about 950. The dengue fever transmissions between districts varied within and between regions. When the spread of dengue fever from Chikan Districts to other districts was cut off, the number of cases in other districts dropped significantly or even to zero. When the density of mosquitoes in Xiashan District was controlled, the dengue fever epidemic in Xiashan District was found to be significantly alleviated. Conclusions: When there is a dengue outbreak, timely measures can effectively control it from developing into an epidemic. Different prevention and control measures in different districts could efficiently reduce the risk of disease transmission. MDPI 2022-08-25 /pmc/articles/PMC9501079/ /pubmed/36136620 http://dx.doi.org/10.3390/tropicalmed7090209 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Meng
Huang, Jie-Feng
Kang, Min
Liu, Xing-Chun
Lin, Hong-Yan
Zhao, Ze-Yu
Ye, Guo-Qiang
Lin, Sheng-Nan
Rui, Jia
Xu, Jing-Wen
Zhu, Yuan-Zhao
Wang, Yao
Yang, Meng
Tang, Shi-Xing
Cheng, Qu
Chen, Tian-Mu
Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title_full Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title_fullStr Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title_full_unstemmed Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title_short Epidemiological Characteristics and the Dynamic Transmission Model of Dengue Fever in Zhanjiang City, Guangdong Province in 2018
title_sort epidemiological characteristics and the dynamic transmission model of dengue fever in zhanjiang city, guangdong province in 2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501079/
https://www.ncbi.nlm.nih.gov/pubmed/36136620
http://dx.doi.org/10.3390/tropicalmed7090209
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