Epidemiological Assessment and Optimization of School-Based Influenza Vaccination — Shenzhen City, Guangdong Province, China, 2023–2024

The findings suggest concentrating vaccination efforts during November and December; however, optimal strategies may vary depending on specific influenza transmission patterns. A more robust approach involves implementing a generalized strategy optimized using historical seasonal data with comparable transmission characteristics.

Authors

Institutions

Publication Details

Journal
China CDC Weekly
Published
2025-01-01
DOI
https://doi.org/10.46234/ccdcw2025.232
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiological Assessment and Optimization of School-Based Influenza Vaccination — Shenzhen City, Guangdong Province, China, 2023–2024

Fang Huang, Yushuang Chen, Zhanwei Du, Chao Gao et al.
China CDC Weekly
Influenza Virus Research Studies
article

Epidemiological Assessment and Optimization of School-Based Influenza Vaccination — Shenzhen City, Guangdong Province, China, 2023–2024

Fang Huang, Yushuang Chen, Zhanwei Du, Chao Gao, Xin Wang, Shuqi Wang, Ting Zhang, Zhen Zhang, Jianxing Yu, Qi Tan, Zhigao Chen, Xiujuan Tang, Yanpeng Cheng, Zhongjie Li, Zengyang Shao
article en

Abstract

The findings suggest concentrating vaccination efforts during November and December; however, optimal strategies may vary depending on specific influenza transmission patterns. A more robust approach involves implementing a generalized strategy optimized using historical seasonal data with comparable transmission characteristics.

China CDC WeeklyVol. 7(44)
Nanjing Tech University (CN), Northwestern Polytechnical University (CN), Yunnan University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Hong Kong Science and Technology Parks Corporation (HK), Southern University of Science and Technology (CN), Shenzhen Center for Disease Control and Prevention (CN), Laboratory of Data Discovery for Health (HK), University of Hong Kong (HK)
Openalex Percentile: Top 58%
Influenza Virus Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.