Estimating the Uptake of and Factors Associated With a New Vaccine Outside of the National Immunisation Programme: A Case Study of the EV‐A71 Vaccine Against Hand, Foot, and Mouth Disease
Year: 2025
Type: article
Language: en
Topic: Viral Infections and Immunology Research
Authors and affiliations:
raw_author_name: Fengfeng Liu
raw_affiliation_strings: Department of Health Policy and Management, School of Public Health Peking University Beijing PR China
Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Key Laboratory of Surveillance and Early‐Warning on Infectious Disease Chinese Center for Disease Control and Prevention Beijing PR China
raw_author_name: Fuqiang Cui
raw_affiliation_strings: Center for Infectious Diseases and Policy Research &amp; Global Health and Infectious Diseases Group Peking University Beijing PR China
Department of Health Policy and Management, School of Public Health Peking University Beijing PR China
Department of Laboratorial Science and Technology &amp; Vaccine Research Center, School of Public Health Peking University Beijing PR China
Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
raw_author_name: Billy J. Quilty
raw_affiliation_strings: Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine London UK
Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK
raw_author_name: Yang Song
raw_affiliation_strings: Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Key Laboratory of Surveillance and Early‐Warning on Infectious Disease Chinese Center for Disease Control and Prevention Beijing PR China
raw_author_name: Xin Tong
raw_affiliation_strings: School of Public Health Fudan University Shanghai PR China
raw_author_name: Stefan Flasche
raw_affiliation_strings: Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine London UK
Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK
raw_author_name: Mark Jit
raw_affiliation_strings: Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine London UK
Department of Global and Environmental Health, School of Global Public Health New York University New York NY USA
Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK
raw_author_name: Zhongjie Li
raw_affiliation_strings: School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &amp; Peking Union Medical College Beijing PR China
raw_author_name: Zhaorui Chang
raw_affiliation_strings: Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Key Laboratory of Surveillance and Early‐Warning on Infectious Disease Chinese Center for Disease Control and Prevention Beijing PR China
raw_author_name: Yang Liu
raw_affiliation_strings: Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine London UK
Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK