Effectiveness and failure rate of the varicella vaccine in an outbreak in Jiangsu, China: a 1:2 matched case-control study-Reference-Cited by-同舟云学术

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Effectiveness and failure rate of the varicella vaccine in an outbreak in Jiangsu, China: a 1:2 matched case-control study

Published:2019-10-07 Issue:3 Volume:16 Page:506-512
ISSN:2164-5515
Container-title:Human Vaccines & Immunotherapeutics
language:en
Short-container-title:Human Vaccines & Immunotherapeutics

Author:

Wang Yong¹^ORCID,Zhang Lei¹^ORCID,Sun Xiang²,Cao Yang¹,Wang Zhiguo²,Liu Li²,Xu Yan²,Zhou Minghao¹²^ORCID,Liu Yuanbao²

Affiliation:

1. Nanjing Medical University

2. Jiangsu Provincial Center for Disease Control and Prevention

Funder

the “333” Project of Jiangsu Province

the Preventive Medicine Association of Jiangsu Provincial Health and Family Planning Commission

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21645515.2019.1665959

Reference30 articles.

1. Is chickenpox so bad, what do we know about immunity to varicella zoster virus, and what does it tell us about the future?

2. Single-dose varicella vaccine effectiveness in Brazil: A case-control study

3. Two-dose Varicella Vaccine Effectiveness and Rash Severity in Outbreaks of Varicella Among Public School Students

4. Single-dose varicella vaccine effectiveness in school settings in China

5. Varicella outbreak in a highly-vaccinated school population in Beijing, China during the voluntary two-dose era

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1. Genotype of Varicella-zoster virus isolated in Jiangsu, China;Virology Journal;2024-10-24

2. Analysis of antibody dynamics in Chinese children aged 1-3 years after single-dose varicella vaccination: A 42 months prospective study;Human Vaccines & Immunotherapeutics;2024-10-16

3. Efectividad de la vacuna infantil contra la varicela. Casanare, Colombia;Revista chilena de infectología;2024-10

4. The impact of the implementation of the two-dose varicella vaccine immunization strategy in Quzhou: A retrospective birth cohort study;Human Vaccines & Immunotherapeutics;2024-09-29

5. Machine learning for membrane design in energy production, gas separation, and water treatment: a review;Environmental Chemistry Letters;2024-02-06

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