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Taha MK, Martinon-Torres F, Köllges R, Bonanni P, Safadi MAP, Booy R, Smith V, Garcia S, Bekkat-Berkani R, Abitbol V. Equity in vaccination policies to overcome social deprivation as a risk factor for invasive meningococcal disease. Expert Rev Vaccines 2022; 21:659-674. [PMID: 35271781 DOI: 10.1080/14760584.2022.2052048] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Social deprivation is associated with poorer healthcare access. Vaccination is among the most effective public health interventions and achieving equity in vaccination access is vitally important. However, vaccines are often reimbursed by public funds only when recommended in national immunization programs (NIPs), which can increase inequity between high and low socioeconomic groups. Invasive meningococcal disease (IMD) is a serious vaccination-preventable disease. This review focuses on vaccination strategies against IMD designed to reduce inequity. AREAS COVERED We reviewed meningococcal epidemiology and current vaccination recommendations worldwide. We also reviewed studies demonstrating an association between social deprivation and risk of meningococcal disease, as well as studies demonstrating an impact of social deprivation on uptake of meningococcal vaccines. We discuss factors influencing inclusion of meningococcal vaccines in NIPs. EXPERT OPINION Incorporating meningococcal vaccines in NIPs is necessary to reduce inequity, but insufficient alone. Inclusion provides clear guidance to healthcare professionals and helps to ensure that vaccines are offered universally to all target groups. Beyond NIPs, cost of vaccination should be reimbursed especially for disadvantaged individuals. These approaches should help to achieve optimal protection against IMD, by increasing access and immunization rates, eventually reducing social inequities, and helping to protect those at greatest risk.
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Affiliation(s)
- Muhamed-Kheir Taha
- Institut Pasteur, Invasive Bacterial Infections Unit, National Reference Centre for Meningococci and Haemophilus Influenza, Paris, France
| | - Federico Martinon-Torres
- Genetics, Vaccines, Infectious Diseases, Pediatrics Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago and Universidad de Santiago de Compostela, Galicia, Spain.,Translational Pediatrics and Infectious Diseases, Pediatrics Department, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,Consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Ralph Köllges
- Praxis für Kinder und Jugendliche, Ralph Köllges und Partner, Mönchengladbach, Germany
| | - Paolo Bonanni
- Department of Health Sciences, University of Florence, Florence, Italy
| | | | - Robert Booy
- Department of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.,Sydney Institute of Infectious Diseases, University of Sydney, Sydney, NSW, Australia
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Wang Q, Xiu S, Yang L, Han Y, Huang J, Cui T, Shi N, Liu M, Wang X, Lu B, Jin H, Lin L. Delays in routine childhood vaccinations and their relationship with parental vaccine hesitancy: a cross-sectional study in Wuxi, China. Expert Rev Vaccines 2021; 21:135-143. [PMID: 34789062 DOI: 10.1080/14760584.2022.2008244] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES This study aimed to examine childhood vaccination delay, explore the association between vaccination delay and parental vaccine hesitancy, and assess childhood vaccination delays during the coronavirus disease (COVID)-19 pandemic in China. METHODS This cross-sectional survey was conducted in Wuxi City. Participants were recruited from local vaccination clinics. Questionnaires were used to collect information about socio-demographics, vaccine hesitancy, and immunization clinic evaluations. Vaccination records were obtained from the Jiangsu Information Management System of Vaccination Cases. RESULTS Overall, 2728 participants were included. The coverage for seven category A vaccines (Expanded Program on Immunization (EPI)) was more than 95% at 24 months. The proportion of children vaccinated in a timely manner was the highest for the first dose of the hepatitis B vaccine (91.6%) and the lowest for the Bacillus-Calmette-Guerin vaccine (44.6%). More than 50% of the planned vaccinations were delayed in February and March 2020. The Vaccine Hesitancy Scale scores were not associated with vaccination delay (P = 0.842). Children's vaccination delays were negatively associated with parents who reported convenient access to clinics and satisfaction with immunization services (P = 0.020, P = 0.045). CONCLUSIONS EPI is highly successful in China. Despite vaccination delays due to the COVID-19 pandemic, coverage was recovered after lockdown restrictions were eased.
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Affiliation(s)
- Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Shixin Xiu
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, PR China
| | - Liuqing Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Ying Han
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Jinxin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Minqi Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Xuwen Wang
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, PR China
| | - Bing Lu
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, PR China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Leesa Lin
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
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