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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.
Afiliação
  • Zhang M; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
  • Huang JF; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Kang M; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
  • Liu XC; School of Public Health, Southern Medical University, Guangzhou 510515, China.
  • Lin HY; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Zhao ZY; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Ye GQ; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Lin SN; Zhanjiang Municipal Center for Disease Control and Prevention, Zhanjiang 524037, China.
  • Rui J; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Xu JW; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Zhu YZ; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Wang Y; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Yang M; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Tang SX; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Cheng Q; School of Public Health, Southern Medical University, Guangzhou 510515, China.
  • Chen TM; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94704, USA.
Trop Med Infect Dis ; 7(9)2022 Aug 25.
Article em En | MEDLINE | ID: mdl-36136620
ABSTRACT

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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article