Modeling the optimal seasonal monoclonal antibody administration strategy for respiratory syncytial...
Modeling the optimal seasonal monoclonal antibody administration strategy for respiratory syncytial virus (RSV) prevention based on age-season specific hospitalization rate of RSV in Suzhou, China, 2016–2022
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Author / Creator
Ren, Shaolong , Chen, Qinghui , Zhang, Youyi , Yi, Liping , Qian, Chen , Lu, Yingfeng , Shen, Jiaming , Liu, Xiaofei , Jiang, Miao , Wang, Biying , Song, Jian , Shao, Xuejun , Zhang, Tao , Tian, Jianmei and Zhao, Genming
Publisher
Netherlands: Elsevier Ltd
Journal title
Language
English
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Publisher
Netherlands: Elsevier Ltd
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Scope and Contents
Contents
AbstractBackgroundThe approval of nirsevimab brings light to reducing the heavy disease burden caused by respiratory syncytial virus (RSV). Considering the seasonality of RSV, the timing of administrating monoclonal antibody (mAb) is critical to maximize health utility. This study aimed to model and seek the optimal seasonal mAb administration stra...
Alternative Titles
Full title
Modeling the optimal seasonal monoclonal antibody administration strategy for respiratory syncytial virus (RSV) prevention based on age-season specific hospitalization rate of RSV in Suzhou, China, 2016–2022
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_3040440840
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3040440840
Other Identifiers
ISSN
0264-410X
E-ISSN
1873-2518
DOI
10.1016/j.vaccine.2023.11.054
