Back to Search Start Over

A Dynamic Compartmental Model to Explore the Optimal Strategy of Varicella Vaccination: An Epidemiological Study in Jiangsu Province, China

Authors :
Xiang Sun
Chenxi Dai
Kai Wang
Yuanbao Liu
Xinye Jin
Congyue Wang
Yi Yin
Zhongxing Ding
Zhenzhen Lu
Weiming Wang
Zhiguo Wang
Fenyang Tang
Kaifa Wang
Zhihang Peng
Source :
Tropical Medicine and Infectious Disease, Vol 8, Iss 1, p 17 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Varicella (chickenpox) is highly contagious among children and frequently breaks out in schools. In this study, we developed a dynamic compartment model to explore the optimal schedule for varicella vaccination in Jiangsu Province, China. A susceptible-infected-recovered (SIR) model was proposed to simulate the transmission of varicella in different age groups. The basic reproduction number was computed by the kinetic model, and the impact of three prevention factors was assessed through the global sensitivity analysis. Finally, the effect of various vaccination scenarios was qualitatively evaluated by numerical simulation. The estimated basic reproduction number was 1.831 ± 0.078, and the greatest contributor was the 5–10 year-old group (0.747 ± 0.042, 40.80%). Sensitivity analysis indicated that there was a strong negative correlation between the second dose vaccination coverage rate and basic reproduction number. In addition, we qualitatively found that the incidence would significantly decrease as the second dose vaccine coverage expands. The results suggest that two-dose varicella vaccination should be mandatory, and the optimal age of second dose vaccination is the 5–10 year-old group. Optimal vaccination time, wide vaccine coverage along with other measures, could enhance the effectiveness of prevention and control of varicella in China.

Details

Language :
English
ISSN :
24146366
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Tropical Medicine and Infectious Disease
Publication Type :
Academic Journal
Accession number :
edsdoj.8f8c352b9ee844289c9dd109395cca4a
Document Type :
article
Full Text :
https://doi.org/10.3390/tropicalmed8010017