1
|
Sasse K, Mahabir R, Gkountouna O, Crooks A, Croitoru A. Understanding the determinants of vaccine hesitancy in the United States: A comparison of social surveys and social media. PLoS One 2024; 19:e0301488. [PMID: 38843170 PMCID: PMC11156396 DOI: 10.1371/journal.pone.0301488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 03/12/2024] [Indexed: 06/09/2024] Open
Abstract
The COVID-19 pandemic prompted governments worldwide to implement a range of containment measures, including mass gathering restrictions, social distancing, and school closures. Despite these efforts, vaccines continue to be the safest and most effective means of combating such viruses. Yet, vaccine hesitancy persists, posing a significant public health concern, particularly with the emergence of new COVID-19 variants. To effectively address this issue, timely data is crucial for understanding the various factors contributing to vaccine hesitancy. While previous research has largely relied on traditional surveys for this information, recent sources of data, such as social media, have gained attention. However, the potential of social media data as a reliable proxy for information on population hesitancy, especially when compared with survey data, remains underexplored. This paper aims to bridge this gap. Our approach uses social, demographic, and economic data to predict vaccine hesitancy levels in the ten most populous US metropolitan areas. We employ machine learning algorithms to compare a set of baseline models that contain only these variables with models that incorporate survey data and social media data separately. Our results show that XGBoost algorithm consistently outperforms Random Forest and Linear Regression, with marginal differences between Random Forest and XGBoost. This was especially the case with models that incorporate survey or social media data, thus highlighting the promise of the latter data as a complementary information source. Results also reveal variations in influential variables across the five hesitancy classes, such as age, ethnicity, occupation, and political inclination. Further, the application of models to different MSAs yields mixed results, emphasizing the uniqueness of communities and the need for complementary data approaches. In summary, this study underscores social media data's potential for understanding vaccine hesitancy, emphasizes the importance of tailoring interventions to specific communities, and suggests the value of combining different data sources.
Collapse
Affiliation(s)
- Kuleen Sasse
- Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Ron Mahabir
- Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Liverpool, United Kingdom
| | - Olga Gkountouna
- Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Liverpool, United Kingdom
| | - Andrew Crooks
- Department of Geography, University at Buffalo, Buffalo, New York, United States of America
| | - Arie Croitoru
- Department of Computational and Data Sciences, George Mason University, Fairfax, Virginia, United States of America
| |
Collapse
|
2
|
Michels SY, Daley MF, Newcomer SR. Completion of multidose vaccine series in early childhood: current challenges and opportunities. Curr Opin Infect Dis 2024; 37:176-184. [PMID: 38427536 PMCID: PMC11210715 DOI: 10.1097/qco.0000000000001007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
PURPOSE OF REVIEW Completion of all doses in multidose vaccine series provides optimal protection against preventable infectious diseases. In this review, we describe clinical and public health implications of multidose vaccine series noncompletion, including current challenges to ensuring children receive all recommended vaccinations. We then highlight actionable steps toward achieving early childhood immunization goals. RECENT FINDINGS Although coverage levels are high for most early childhood vaccinations, rates of completion are lower for vaccinations that require multiple doses. Recent research has shown that lower family socioeconomic status, a lack of health insurance coverage, having multiple children in the household, and moving across state lines are associated with children failing to complete multidose vaccine series. These findings provide contextual evidence to support that practical challenges to accessing immunization services are impediments to completion of multidose series. Strategies, including reminder/recall, use of centralized immunization information systems, and clinician prompts, have been shown to increase immunization rates. Re-investing in these effective interventions and modernizing the public health infrastructure can facilitate multidose vaccine series completion. SUMMARY Completion of multidose vaccine series is a challenge for immunization service delivery. Increased efforts are needed to address remaining barriers and improve vaccination coverage in the United States.
Collapse
Affiliation(s)
- Sarah Y. Michels
- Center for Population Health Research, University of Montana, Missoula, Montana
| | - Matthew F. Daley
- Institute for Health Research, Kaiser Permanente Aurora, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado
| | - Sophia R. Newcomer
- Center for Population Health Research, University of Montana, Missoula, Montana
- School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| |
Collapse
|
3
|
Grills LA, Wagner AL. The impact of the COVID-19 pandemic on parental vaccine hesitancy: A cross-sectional survey. Vaccine 2023; 41:6127-6133. [PMID: 37659897 PMCID: PMC10954085 DOI: 10.1016/j.vaccine.2023.08.044] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND It is unclear how hesitancy towards pediatric vaccines has changed quantitatively since the onset of the COVID-19 pandemic, and if changes are more readily apparent in clusters of low COVID-19 vaccination. In this study, we assess how clusters of low COVID-19 vaccination correlate with changing parental beliefs about childhood vaccines. METHODS A cross-sectional, opt-in, internet-based survey of parents resident in the U.S. was conducted during August-September 2022. Our survey measured changes in beliefs about childhood vaccine safety, importance, and effectiveness since the start of COVID-19. We also measured parents' perceived vaccination rates in the community, assessing its relationship with changing vaccination perceptions using Rao-Scott chi-square tests, and multinomial logistic regression models. RESULTS Among 310 parents of children 0-17 years old, 11 % (95 % CI: 7 %, 15 %) believed that childhood vaccines are less safe, 12 % (95 % CI: 8 %, 17 %) less important, and 13 % (95 % CI: 9 %, 18 %) less effective since the start of the COVID-19 pandemic. About 9 % (95 % CI: 5 %, 12 %) stated COVID-19 vaccination coverage was low in their community. Among those who stated COVID-19 vaccination coverage was low, 38 % reported believing childhood vaccines were less effective (vs 12 % of those who stated vaccination coverage was high). This corresponds to 4.34 times greater odds of believing childhood vaccines were less effective since the start of the pandemic (95 % CI: 1.38, 13.73) in those who believe COVID-19 vaccination coverage to be low in their community vs high. CONCLUSION Our study demonstrates that parental perceptions about childhood vaccines have been affected by the COVID-19 pandemic through geographic and social clustering of non-vaccination. Beliefs about the COVID-19 vaccine have spillover with beliefs about childhood vaccines, and more negative beliefs may be clustering in areas with low vaccination coverage, which could predispose the area to outbreaks of vaccine-preventable disease.
Collapse
Affiliation(s)
- Lily A Grills
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Abram L Wagner
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|
4
|
Ghazy RM, Ibrahim SA, Taha SHN, Elshabrawy A, Elkhadry SW, Abdel-Rahman S, Hassaan MA, Fadl N. Attitudes of parents towards influenza vaccine in the Eastern Mediterranean Region: A multilevel analysis. Vaccine 2023; 41:5253-5264. [PMID: 37481405 DOI: 10.1016/j.vaccine.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 06/28/2023] [Accepted: 07/04/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Seasonal influenza vaccines (SIVs) can protect against influenza and substantially reduce the risk of influenza-related hospitalizations and fatalities in children. This study aimed to assess parental attitudes towards SIVs in the Eastern Mediterranean region (EMR). METHODS Through an anonymous online survey conducted in 19 countries in the EMR, parents or caregivers over 18 years who had at least one child above 6 months filled out the Parent Attitudes about Childhood Vaccines questionnaire. As data had two levels; country and individual factors, we utilized multilevel binary logistic regression models. RESULTS In total, 6992 respondents filled out the questionnaire. Of them, 47.4 % were residents of middle-income countries, 72.4 % of the mothers were between 26 and 45 years old, 56.5 % had at least a university degree, and approximately 51.6 % were unemployed. Nearly 50.8 % of the respondents were hesitant to vaccinate their children against seasonal influenza. Parental attitudes towards seasonal influenza vaccination differed significantly between countries, p < 0.001. The main predictors of parental seasonal influenza vaccine hesitancy (VH) were parents vaccination (odds ratio (OR) = 0.42, 95 % CI = 0.32-0.55, p < 0.001)), the mother's education if mother educated vs. who did not receive any education (OR ranged from 0.48 to 0.64, p < 0.05), living in low-income countries (OR = 0.52, 95 % CI = 0.35-0.77, p < 0.01), mountain residence (0.69, 95 % CI = 0.49-0.99, p < 0.05), health workers as a source of information (OR = 0.70, 95 % CI = 0.58-0.85, p < 0.001), children vaccination against COVID-19 (OR = 0.52, 95 % CI = 0.41-0.65, p < 0.001), not receiving routine vaccinations (OR = 1.93, 95 % CI = 1.09-3.44, p = 0.025), and if parents respondents could not remember whether their child had suffered from seasonal influenza in the previous year (OR = 1.57, 95 % CI = 1.33-1.84, p < 0.001). CONCLUSION A high seasonal influenza VH rate was found in the EMR. Health authorities should implement different interventions targeting the identified modifiable risk factor to increase vaccine uptake among children, especially those at risk of complication from seasonal influenza infection.
Collapse
Affiliation(s)
- Ramy Mohamed Ghazy
- Tropical Health Department, High Institute of Public Health, Alexandria University, Egypt
| | - Sarah Assem Ibrahim
- Biostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Egypt
| | - Sarah Hamed N Taha
- Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Cairo University, Egypt.
| | - Abdelhamid Elshabrawy
- Biostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Egypt
| | - Sally Waheed Elkhadry
- Epidemiology and Preventive Medicine Department, National Liver Institute, Menoufia University, Egypt
| | - Suzan Abdel-Rahman
- Biostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Egypt
| | - Mahmoud A Hassaan
- Institute of Graduate Studies & Research, Alexandria University, Egypt
| | - Noha Fadl
- Family Health Department, High Institute of Public Health, Alexandria University, Egypt
| |
Collapse
|
5
|
Noppert GA, Clarke P, Hoover A, Kubale J, Melendez R, Duchowny K, Hegde ST. State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.19.23290222. [PMID: 37293100 PMCID: PMC10246150 DOI: 10.1101/2023.05.19.23290222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19.
Collapse
Affiliation(s)
| | | | - Andrew Hoover
- Institute for Social Research, University of Michigan
| | - John Kubale
- Institute for Social Research, University of Michigan
| | | | - Kate Duchowny
- Institute for Social Research, University of Michigan
| | - Sonia T Hegde
- Department of Epidemiology, Johns Hopkins University
| |
Collapse
|
6
|
Fadl N, Al Awaidy ST, Elshabrawy A, Makhlouf MSAH, Ibrahim SA, Abdel-Rahman S, Tookhy NA, Alsalmani A, Al-Saeedi M, Al-Sawalha I, El-Din MAA, Saad J, Ayoob Z, Rourou MK, Ali M, Tawati SM, Gadain YMA, Al-saidi SY, Hassan GA, Alsanafi M, Sandouk L, Youssef N, Alothman S, Yazbek S, Al-Ansi KS, Mehdad S, Adam MF, Gebreal A, Ghazy RM. Determinants of parental seasonal influenza vaccine hesitancy in the Eastern Mediterranean region: A cross-sectional study. Front Public Health 2023; 11:1132798. [PMID: 37056660 PMCID: PMC10086336 DOI: 10.3389/fpubh.2023.1132798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
BackgroundSeasonal influenza vaccine can reduce the risk of influenza-associated hospitalizations and deaths among children. Given that parents are the primary decision makers, this study examined the parental attitude toward childhood influenza vaccine and identified determinants of vaccine hesitancy (VH) in the Eastern Mediterranean region (EMR).MethodsA cross-sectional study was conducted using an anonymous online survey in 14 EMR countries. Parents of children aged 6 months to 18 years were included. The Parent Attitude about Childhood Vaccines (PACV) was used to assess VH. Chi square test and independent t-test were used to test for association of qualitative and quantitative variables, respectively. A structural equations model (SEM) was used to identify direct and indirect determinants of parental VH.ResultsAlmost half of the parents were hesitant about vaccinating their children against influenza (50.8%). Parental VH was significantly higher among older mothers (37.06 ± 8.8 years, p = 0.006), rural residents (53.6%, p < 0.001), high-income countries residents (50.6%, p < 0.001), and mothers with higher educational levels (52.1%, p < 0.001). Parents of school-aged children (5–9 years) (55.6%, p < 0.001), children free from any comorbidities (52.5%, p < 0.001), children who did not receive routine vaccination at all (51.5%, p = 0.03), children who were not vaccinated against COVID-19 (54.3%, p < 0.001), in addition to parents who were not vaccinated against influenza (57.1%, p < 0.001) were significantly associated with increased likelihood of VH. Parents who were depending on healthcare provider as a source of information regarding vaccines were less likely to report VH (47.9%, p < 0.001), meanwhile those who used social media as their source of health information showed a significantly higher VH (57.2%, p < 0.001). The SEM suggested that mother’s age, residence, country income level, child gender, total number of children and source of information regarding vaccines had a direct effect on VH. Meanwhile, parents vaccinated against influenza, children completely or partially vaccinated with routine vaccines and children vaccinated against Coronavirus disease 2019 (COVID-19) had an indirect effect on VH.ConclusionA high proportion of included parents were hesitant to vaccinate their children against seasonal influenza. This attitude is due to many modifiable and non-modifiable factors that can be targeted to improve vaccination coverage.
Collapse
Affiliation(s)
- Noha Fadl
- Department of Family Health, High Institute of Public Health, Alexandria University, Alexandria, Egypt
- *Correspondence: Noha Fadl,
| | - Salah T. Al Awaidy
- Office of Health Affairs, Ministry of Health, Muscat, Oman
- Middle East, Eurasia and Africa Influenza Stakeholders Network (ME’NA-ISN), Cape Town, South Africa
| | - Abdelhamid Elshabrawy
- Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt
| | - Mona Sayed Aly Hassan Makhlouf
- Department of Pediatric, Al Galaa Teaching Hospital, General Organization for Teaching Hospitals and Institutes (GOTHI), Ministry of Health and Population, Cairo, Egypt
| | - Sarah Assem Ibrahim
- Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt
| | - Suzan Abdel-Rahman
- Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt
| | - Nazir Ahmad Tookhy
- Department of Paraclinic, Faculty of Veterinary Science, Herat University, Herat, Afghanistan
| | - Abdullah Alsalmani
- National Space Science and Technology Center, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Mays Al-Saeedi
- College of Pharmacy, Al Ain University, Al Ain, United Arab Emirates
| | - Ibrahim Al-Sawalha
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | | | | | - Zainab Ayoob
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | | | - Manahil Ali
- Karachi Medical and Dental College, Karachi, Pakistan
| | - Salha M. Tawati
- Department of Pharmaceutical Chemistry, Benghazi University, Benghazi, Libya
| | | | | | | | - Mariam Alsanafi
- Department of Pharmacy Practice, Faculty of Pharmacy, Kuwait University, Kuwait, Kuwait
| | - Leen Sandouk
- Faculty of Pharmacy, Arab International University, Daraa, Syria
| | - Naglaa Youssef
- Department of Medical-Surgical Nursing, College of Nursing, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Shaykhah Alothman
- Organ Transplant Pediatric Clinic, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Saja Yazbek
- Faculty of Public Health, Lebanese University, Beirut, Lebanon
| | | | - Slimane Mehdad
- Physiology and Physiopathology Research Team, Research Centre of Human Pathology Genomics, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco
| | | | - Assem Gebreal
- Alexandria Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Ramy Mohamed Ghazy
- Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt
| |
Collapse
|
7
|
Sahoo SS, Parida SP, Singh AK, Palepu S, Sahoo DP, Bhatia V. Decision-making in childhood vaccination: vaccine hesitancy among caregivers of under-5 children from a tertiary care institution in Eastern India. Ther Adv Vaccines Immunother 2023; 11:25151355231152650. [PMID: 36756042 PMCID: PMC9900653 DOI: 10.1177/25151355231152650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 01/05/2023] [Indexed: 02/07/2023] Open
Abstract
Background Acceptance of vaccines has been on a decline in recent times, with vaccine hesitancy being listed as one of the top 10 global health threats. This study analysed vaccine hesitancy and belief towards vaccination among caregivers of children aged below 5 years. Methods In this cross-sectional study, 196 caregivers of children aged 6 months to below 5 years who had attended an immunization clinic at a tertiary care institute of Eastern India from March to May 2019 were surveyed. Consecutive sampling was used to recruit eligible study participants. The survey assessed the attitudes of parents towards childhood vaccination by using the Vaccine Hesitancy Scale and their beliefs towards vaccination. Univariate analysis was performed to assess the association of various sociodemographic factors with vaccine hesitancy. Results Among the caregivers, most (48%) mothers were aged 26-35 years, literate and homemakers. Vaccine hesitancy was observed in 9.18% of the participants. Only the age of the child was significantly associated with vaccine hesitancy. Nearly half (48.5%) of the participants were concerned about the serious adverse effects of vaccines, and a third (30.6%) agreed that newer vaccines are associated with higher risks than the older ones. Caregivers felt that vaccines are no longer required for uncommon diseases. Conclusion Concerns regarding vaccine hesitancy are prevalent even among caregivers attending a tertiary care institute. Thus, additional studies are required to assess hesitancy in urban, rural, remote and inaccessible areas. Policymakers ought to conduct periodic assessments and implement necessary remedial measures for the long-term sustenance of the benefits of the national immunization programme.
Collapse
Affiliation(s)
- Soumya Swaroop Sahoo
- Department of Community & Family Medicine,
All India Institute of Medical Sciences, Bathinda 151001, Punjab,
India
| | - Swayam Pragyan Parida
- Department of Community & Family Medicine,
All India Institute of Medical Sciences, Odisha, Bhubaneswar, India
| | - Arvind Kumar Singh
- Department of Community & Family Medicine,
All India Institute of Medical Sciences, Odisha, Bhubaneswar, India
| | - Sarika Palepu
- Department of Community & Family Medicine,
All India Institute of Medical Sciences, Kalyani, West Bengal, India
| | - Durgesh Prasad Sahoo
- Department of Community & Family Medicine,
All India Institute of Medical Sciences, Bibinagar, Telangana, India
| | - Vikas Bhatia
- All India Institute of Medical Sciences,
Bibinagar, Telangana, India
| |
Collapse
|
8
|
Preventable Disease, the Case of Colorado: School District Demographics and Childhood Immunizations. Vaccines (Basel) 2022; 10:vaccines10101579. [PMID: 36298445 PMCID: PMC9607491 DOI: 10.3390/vaccines10101579] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/12/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
The objective of this study was to evaluate the impact of selected sociodemographic factors on childhood vaccination hesitancy and to define their role according to specific exemptions. This population-based cohort study utilized vaccination rate and sociodemographic data from 1st to 12th grade from 2017 to 2021 for all school districts in Colorado. Data included immunization status and exemptions for each vaccine, race, ethnicity, and free and reduced meal status. Data were evaluated through dimensional analysis and Generalized Linear Mixed Models. School districts with a higher representation of White students had lower immunization rates and use more personal exemptions while school districts with larger Hispanic populations and higher proportions of free and reduced lunches had higher vaccination rates and used more religious exemptions. Black and Pacific Islander populations had higher rates of incomplete vaccination records while Asian American population displayed increased vaccination compliance. Colorado is a robust example of how socioeconomic and cultural differences are important factors with a direct influence on vaccination rates. Future childhood vaccination campaigns and legislation should consider complex socioeconomic and cultural factors.
Collapse
|
9
|
Dropkin G. Variation in COVID-19 booster uptake in England: An ecological study. PLoS One 2022; 17:e0270624. [PMID: 35767526 PMCID: PMC9242486 DOI: 10.1371/journal.pone.0270624] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 06/14/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Variable and low uptake of the COVID-19 booster is a recognised problem, associated with individual characteristics including age, gender, ethnicity, and deprivation. Are there other relevant predictors at area level? METHODS Anonymous grouped data was downloaded from the UK Government Coronavirus Dashboard for Middle Super Output Areas (MSOA) in England, along with demographic, employment, and health data from public sources. Mixed models with a random intercept for Upper Tier Local Authority were analysed as quasibinomial Generalized Additive Models. The estimated random effects were then fitted with Bayesian linear mixed models using flu vaccination uptake, change in public health budgets, population proportion of vaccination sites at pharmacies, GP-led, vaccination centres, and hospital hubs, and Region. RESULTS Models for the MSOA-level COVID-19 first and second vaccinations and the Third Injection (including the booster), fit well. Index of Multiple Deprivation, proportion Aged 15-24 and 25-44, and ethnicity groupings Other White, Indian-Pakistani-Bangladeshi, and African-Caribbean-Other Black-Other, are highly significant predictors of lower uptake. The estimated random effects vary widely amongst local authorities, with positive impact of flu vaccine uptake and change in public health budgets, and regional impacts which are positive for London and South East (first and second doses only), and negative for North West and North East. The impact of vaccination sites did not reach 90% credibility, in general. CONCLUSION COVID-19 vaccination rates at each stage are very well modelled if local authority random effects are included along with non-linear terms for demographic, employment and health data. Deprivation, younger age, and Other White, South Asian, and African-Caribbean-Other ethnicities are associated with lower uptake. The estimated local effects show strong regional variation and are positively associated with flu vaccination and increasing public health budgets. One simple way to improve COVID-19 vaccine uptake in England would be to increase local public health allocations.
Collapse
|
10
|
Pruitt SL, Tiro JA, Kepka D, Henry K. Missed Vaccination Opportunities Among U.S. Adolescents by Area Characteristics. Am J Prev Med 2022; 62:538-547. [PMID: 35125272 PMCID: PMC10228151 DOI: 10.1016/j.amepre.2021.10.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/16/2021] [Accepted: 10/13/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION A total of 3 vaccines are recommended for U.S. adolescents: tetanus, diphtheria, and acellular pertussis; meningococcal conjugate; and human papillomavirus. To understand the disparities in vaccine availability and hesitancy, adolescent-, household-, and area-level characteristics associated with patterns of vaccine coverage are described. METHODS In 2020-2021, the authors generated national estimates among 8 possible combinations of vaccine coverage and identified the associated characteristics using 2015-2017 National Immunization Survey-Teen for male and female adolescents aged 13-17 years (N=63,299) linked to area (ZIP code) characteristics. Next, the factors associated with a missed opportunity for human papillomavirus vaccine (i.e., receipt of tetanus, diphtheria, and acellular pertussis and meningococcal conjugate only compared with coverage of all the 3 vaccines) were identified using logistic regression. RESULTS Most U.S. adolescents received all the 3 vaccines (42.9%) or tetanus, diphtheria, and acellular pertussis and meningococcal conjugate only (32.1%); fewer received no vaccines (7.7%) or tetanus, diphtheria, and acellular pertussis only (6.6%); and the remainder received some combination of 1-2 vaccines. Missed opportunities for human papillomavirus vaccination were more likely among adolescents who were male, were of White race, were uninsured, were in middle-income households, and were living in rural areas and were less likely among adolescents who were older, who were Medicaid insured, whose parents completed surveys in Spanish, who were in poverty-level households, and who were living in high-poverty areas. CONCLUSIONS A substantial number of U.S. adolescents are not fully vaccinated, and coverage varies by vaccine type, population, and place. Providers should routinely stock all the 3 vaccines and promote simultaneous, same-day vaccination to avoid missed vaccine opportunities. More research and interventions are needed to understand and modify patient, provider, payer, vaccine supply/storage, or other reasons for suboptimal coverage of all the recommended vaccines.
Collapse
Affiliation(s)
- Sandi L Pruitt
- Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas.
| | - Jasmin A Tiro
- Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Deanna Kepka
- College of Nursing, The University of Utah, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah
| | - Kevin Henry
- Department of Geography and Urban Studies, Temple University, Philadelphia, Pennsylvania; Cancer Prevention and Control, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| |
Collapse
|
11
|
Nguyen AT, Arnold BF, Kennedy CJ, Mishra K, Pokpongkiat NN, Seth A, Djajadi S, Holbrook K, Pan E, Kirley PD, Libby T, Hubbard AE, Reingold A, Colford JM, Benjamin-Chung J. Evaluation of a city-wide school-located influenza vaccination program in Oakland, California with respect to race and ethnicity: A matched cohort study. Vaccine 2021; 40:266-274. [PMID: 34872797 PMCID: PMC8881996 DOI: 10.1016/j.vaccine.2021.11.073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/12/2021] [Accepted: 11/23/2021] [Indexed: 11/23/2022]
Abstract
Background: Increasing influenza vaccination coverage in school-aged children may substantially reduce community transmission. School-located influenza vaccinations (SLIV) aim to promote vaccinations by increasing accessibility, which may be especially beneficial to race/ethnicity groups that face high barriers to preventative care. Here, we evaluate the effectiveness of a city-wide SLIV program by race/ethnicity from 2014 to 2018. Methods: We used multivariate matching to pair schools in the intervention district in Oakland, CA with schools in a comparison district in West Contra Costa County, CA. We distributed cross-sectional surveys to measure caregiver-reported student vaccination status and estimated differences in vaccination coverage levels and reasons for non-vaccination between districts stratifying by race/ethnicity. We estimated difference-in-differences (DID) of laboratory confirmed influenza hospitalization incidence between districts stratified by race/ethnicity using surveillance data. Results: Differences in influenza vaccination coverage in the intervention vs. comparison district were larger among White (2017–18: 21.0% difference [95% CI: 9.7%, 32.3%]) and Hispanic/Latino (13.4% [8.8%, 18.0%]) students than Asian/Pacific Islander (API) (8.9% [1.3%, 16.5%]), Black (5.9% [−2.2%, 14.0%]), and multiracial (6.3% [−1.8%, 14.3%)) students. Concerns about vaccine effectiveness or safety were more common among Black and multiracial caregivers. Logistical barriers were less common in the intervention vs. comparison district, with the largest difference among White students. In both districts, hospitalizations in 2017–18 were higher in Blacks (Intervention: 111.5 hospitalizations per 100,00; Comparison: 134.1 per 100,000) vs. other races/ethnicities. All-age influenza hospitalization incidence was lower in the intervention site vs. comparison site among White/API individuals in 2016–17 (DID −25.14 per 100,000 [95% CI: −40.14, −10.14]) and 2017–18 (−36.6 per 100,000 [−52.7, −20.5]) and Black older adults in 2017–18 (−282.2 per 100,000 (−508.4, −56.1]), but not in other groups. Conclusions: SLIV was associated with higher vaccination coverage and lower influenza hospitalization, but associations varied by race/ethnicity. SLIV alone may be insufficient to ensure equitable influenza outcomes.
Collapse
Affiliation(s)
- Anna T Nguyen
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States; Department of Epidemiology and Population Health, Stanford University, Stanford, CA, United States.
| | - Benjamin F Arnold
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, CA, United States
| | - Chris J Kennedy
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Kunal Mishra
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Nolan N Pokpongkiat
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Anmol Seth
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Stephanie Djajadi
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Kate Holbrook
- Division of Communicable Disease Control and Prevention, Alameda County Public Health Department, Oakland, CA, United States; Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, CA, United States
| | - Erica Pan
- Division of Communicable Disease Control and Prevention, Alameda County Public Health Department, Oakland, CA, United States; California Department of Public Health, Richmond, CA, United States; Department of Pediatrics, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, United States
| | - Pam D Kirley
- California Emerging Infections Program, Oakland, CA, United States
| | - Tanya Libby
- California Emerging Infections Program, Oakland, CA, United States
| | - Alan E Hubbard
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Arthur Reingold
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - John M Colford
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States
| | - Jade Benjamin-Chung
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, CA, United States; Department of Epidemiology and Population Health, Stanford University, Stanford, CA, United States
| |
Collapse
|
12
|
Guzoglu N, Daneshvar Z, Hamrang E, Kayisbudak ID, Khasawneh H, Mahmoud OY, Sani AM, Sokmen G. General attitudes toward and awareness of vaccines among students at a university in Northern Cyprus. Hum Vaccin Immunother 2021; 17:2647-2651. [PMID: 33720809 DOI: 10.1080/21645515.2021.1891815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Misinformation and movements against vaccines put public health at risk. This study investigated vaccine awareness and opinions on the anti-vaccination movement among students at three faculties of Eastern Mediterranean University. Data were collected by questionnaire. Exposure to anti-vaccination propaganda increased proportionally with the size of the cities where participants were born. In total, 88.6% of the participants declared that they planned to vaccinate their children, while those who did not cited various reasons including the belief that vaccines do not work, that vaccines are harmful, and that it is better to be infected naturally. 60.6% of participants reported that they would get vaccinated against SARS-CoV-2 if there was an effective vaccine. Meanwhile, 24.5% of participants were not sure whether would get vaccinated even if it were possible, 11.4% of participants stated that they would not vaccinate their children for a variety of reasons. These results are important, especially in the context of a pandemic, because students will become leaders in education, business, and media, and thus shape the thoughts and opinions of future generations. The anti-vaccination movement is building momentum, and is especially influential in big cities; therefore, it is vital to change our approach to informing students about vaccination.
Collapse
Affiliation(s)
- Nilufer Guzoglu
- Department of Pediatrics, Faculty of Medicine, Eastern Mediterranean University, Famagusta, Northern Cyprus
| | - Zahra Daneshvar
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Elmira Hamrang
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Ilayda Deniz Kayisbudak
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Hayel Khasawneh
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Omar Yasser Mahmoud
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Abeer Mohammad Sani
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| | - Gorkem Sokmen
- Eastern Mediterranean University- Marmara University Faculty of Medicine Joint Program, Famagusta, Northern Cyprus
| |
Collapse
|
13
|
Shih SF, Wagner AL, Masters NB, Prosser LA, Lu Y, Zikmund-Fisher BJ. Vaccine Hesitancy and Rejection of a Vaccine for the Novel Coronavirus in the United States. Front Immunol 2021; 12:558270. [PMID: 34194418 PMCID: PMC8236639 DOI: 10.3389/fimmu.2021.558270] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 05/27/2021] [Indexed: 12/15/2022] Open
Abstract
The arrival of the COVID-19 vaccine has been accompanied by increased discussion of vaccine hesitancy. However, it is unclear if there are shared patterns between general vaccine hesitancy and COVID-19 vaccine rejection, or if these are two different concepts. This study characterized rejection of a hypothetical COVID-19 vaccine, and compared patterns of association between general vaccine hesitancy and COVID-19 vaccine rejection. The survey was conducted online March 20-22, 2020. Participants answered questions on vaccine hesitancy and responded if they would accept the vaccine given different safety and effectiveness profiles. We assessed differences in COVID-19 rejection and general vaccine hesitancy through logistic regressions. Among 713 participants, 33.0% were vaccine hesitant, and 18.4% would reject a COVID-19 vaccine. Acceptance varied by effectiveness profile: 10.2% would reject a 95% effective COVID-19 vaccine, but 32.4% would reject a 50% effective vaccine. Those vaccine hesitant were significantly more likely to reject COVID-19 vaccination [odds ratio (OR): 5.56, 95% confidence interval (CI): 3.39, 9.11]. In multivariable logistic regression models, there were similar patterns for vaccine hesitancy and COVID-19 vaccine rejection by gender, race/ethnicity, family income, and political affiliation. But the direction of association flipped by urbanicity (P=0.0146, with rural dwellers less likely to be COVID-19 vaccine rejecters but more likely to be vaccine hesitant in general), and age (P=0.0037, with fewer pronounced differences across age for COVID-19 vaccine rejection, but a gradient of stronger vaccine hesitancy in general among younger ages). During the COVID-19 epidemic’s early phase, patterns of vaccine hesitancy and COVID-19 vaccine rejection were relatively similar. A significant minority would reject a COVID-19 vaccine, especially one with less-than-ideal effectiveness. Preparations for introducing the COVID-19 vaccine should anticipate substantial hesitation and target concerns, especially among younger adults.
Collapse
Affiliation(s)
- Shu-Fang Shih
- Department of Health Administration, College of Health Professions, Virginia Commonwealth University, Richmond, VA, United States
| | - Abram L Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Nina B Masters
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lisa A Prosser
- Department of Health Administration, College of Health Professions, Virginia Commonwealth University, Richmond, VA, United States.,Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Yihan Lu
- Department of Epidemiology, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University School of Public Health, Shanghai, China
| | - Brian J Zikmund-Fisher
- Department of Health Behavior & Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States.,Department of Internal Medicine, Division of General Medicine, University of Michigan Medical School, Ann Arbor, MI, United States
| |
Collapse
|
14
|
Völker S, Hammerschmidt R, Spura A. [Geographic analyses as a foundation for evidence-based public health interventions: the example identification and typology of risk clusters for mumps, measles, and rubella]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021; 64:600-609. [PMID: 33891131 PMCID: PMC8087606 DOI: 10.1007/s00103-021-03318-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/17/2021] [Indexed: 10/25/2022]
Abstract
BACKGROUND Ideally, health services and interventions to improve immunization rates should be tailored to local target populations, such as spatial clusters. However, to date, little attention has been paid to spatial clusters of underimmunization and have instead been typified based on small-scale data. AIM Using the example of vaccination against measles, mumps, and rubella (MMR) in children, the present study aims to (1) identify the spatial distribution of insufficient MMR vaccination in Westphalia-Lippe on a small scale, (2) identify specific, spatial risk clusters with insufficient vaccination protection, and (3) describe spatial-neighborhood influencing factors of the different risk clusters as starting points for public health interventions. MATERIAL AND METHODS Account data from the Kassenärztliche Vereinigung Westfalen-Lippe (KVWL) were used as a basis. Birth cohorts 2013-2016 of children with statutory health insurance were formed and aggregated at postcode level (n = 410). Statistically significant, spatially compact clusters and relative risks (RRs) of underimmunization were identified. Local risk models were estimated in binary logistic regressions based on spatial-neighborhood variables. RESULTS AND DISCUSSION Two significant clusters of underimmunization were identified for each of the vaccination rates "at least one MMR vaccination" and "both MMR vaccinations." Significant risk factors for low immunization rates included age structure, socioeconomic variables, population density, medical coverage, and value attitude. The proposed methodology is suitable for describing spatial variations in vaccination behavior based on identified typologies for targeted evidence-based interventions.
Collapse
Affiliation(s)
- Sebastian Völker
- Stabsbereich Unternehmensentwicklung, Kassenärztliche Vereinigung Westfalen-Lippe (KVWL), Robert-Schimrigk-Str. 4-6, 44141, Dortmund, Deutschland.
- Zentrum für Public Health und Versorgungsforschung, Masterstudiengang Public Health, Paracelsus Medical University, Salzburg, Österreich.
| | - Reinhard Hammerschmidt
- Stabsbereich Unternehmensentwicklung, Kassenärztliche Vereinigung Westfalen-Lippe (KVWL), Robert-Schimrigk-Str. 4-6, 44141, Dortmund, Deutschland
| | - Anke Spura
- Referat 2-24 Fortbildung, Qualifizierung, Hochschulkooperation, Bundeszentrale für gesundheitliche Aufklärung (BZgA), Köln, Deutschland
| |
Collapse
|
15
|
Wagner AL, Shotwell AR, Boulton ML, Carlson BF, Mathew JL. Demographics of Vaccine Hesitancy in Chandigarh, India. Front Med (Lausanne) 2021; 7:585579. [PMID: 33521011 PMCID: PMC7844137 DOI: 10.3389/fmed.2020.585579] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 12/10/2020] [Indexed: 11/13/2022] Open
Abstract
The impact of vaccine hesitancy on childhood immunization in low- and middle-income countries remains largely uncharacterized. This study describes the sociodemographic patterns of vaccine hesitancy in Chandigarh, India. Mothers of children <5 years old were sampled from a two-stage cluster, systematic sample based on Anganwadi child care centers in Chandigarh. Vaccine hesitancy was measured using a 10-item Vaccine Hesitancy Scale, which was dichotomized. A multivariable logistic regression assessed the association between socioeconomic factors and vaccine hesitancy score. Among 305 mothers, >97% of mothers thought childhood vaccines were important, effective, and were a good way to protect against disease. However, many preferred their child to receive fewer co-administered vaccines (69%), and were concerned about side effects (39%). Compared to the “other caste” group, scheduled castes or scheduled tribes had 3.48 times greater odds of vaccine hesitancy (95% CI: 1.52, 7.99). Those with a high school education had 0.10 times the odds of vaccine hesitancy compared to those with less education (95% CI: 0.02, 0.61). Finally, those having more antenatal care visits were less vaccine hesitant (≥4 vs. <4 visits OR: 0.028, 95% CI: 0.1, 0.76). As India adds more vaccines to its Universal Immunization Program, consideration should be given to addressing maternal concerns about vaccination, in particular about adverse events and co-administration of multiple vaccines.
Collapse
Affiliation(s)
- Abram L Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Abigail R Shotwell
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Matthew L Boulton
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.,Division of Infectious Disease, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Bradley F Carlson
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Joseph L Mathew
- Department of Pediatrics, Advanced Pediatrics Centre, Postgraduate Institute of Medical Education and Research Chandigarh, Chandigarh, India
| |
Collapse
|
16
|
Wagner AL, Masters NB, Domek GJ, Mathew JL, Sun X, Asturias EJ, Ren J, Huang Z, Contreras-Roldan IL, Gebremeskel B, Boulton ML. Comparisons of Vaccine Hesitancy across Five Low- and Middle-Income Countries. Vaccines (Basel) 2019; 7:E155. [PMID: 31635270 PMCID: PMC6963484 DOI: 10.3390/vaccines7040155] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/03/2019] [Accepted: 10/14/2019] [Indexed: 12/22/2022] Open
Abstract
Vaccine hesitancy is a continuum of behaviors ranging from delay in receipt to vaccination refusal. Prior studies have typically focused on high-income countries, where vaccine hesitancy is particularly prevalent in more affluent groups, but the relationship between socioeconomic status and vaccine hesitancy in Low- and Middle-Income Countries (LMICs) is less clear. The aim of this study was to describe vaccine hesitancy in five LMICs. Mothers of children in Sirajganj, Bangladesh (n = 60), Shanghai, China (n = 788), Addis Ababa, Ethiopia (n = 341), Guatemala City and Quetzaltenango, Guatemala (n = 767), and Chandigarh, India (n = 309), completed a survey between 2016 and 2018 using the WHO's 10-item Vaccine Hesitancy Scale. The scores of different constructs were compared across countries and by the mother's education level using linear regression models with generalized estimating equations. Compared to mothers in China, mothers in Bangladesh perceived less vaccination benefit (β: 0.56, P = 0.0001), however, mothers in Ethiopia (β: -0.54, P < 0.0001) and Guatemala (β: -0.74, P = 0.0004) perceived greater benefit. Education level was not significantly linked with vaccine hesitancy. Local circumstances are important to consider when developing programs to promote vaccines. We did not find consistent associations between education and vaccine hesitancy. More research is needed to understand socio-cultural influences on vaccine decision-making.
Collapse
Affiliation(s)
- Abram L Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Nina B Masters
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Gretchen J Domek
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, B065, 13123 E 16th Ave, Aurora, CO 80045, USA.
- Center for Global Health, Colorado School of Public Health, A090, 13199 E Montview Blvd, Suite 310, Aurora, CO 80045, USA.
| | - Joseph L Mathew
- Advanced Pediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Xiaodong Sun
- Department of Immunization Program, Shanghai Municipal Centers for Disease Control & Prevention, NO. 1380, West Zhongshan Road, Shanghai 200336, China.
| | - Edwin J Asturias
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, B065, 13123 E 16th Ave, Aurora, CO 80045, USA.
- Center for Global Health, Colorado School of Public Health, A090, 13199 E Montview Blvd, Suite 310, Aurora, CO 80045, USA.
- Department of Epidemiology, Colorado School of Public Health, B119, 13001 E 17th Place, Aurora, CO 80045, USA.
| | - Jia Ren
- Department of Immunization Program, Shanghai Municipal Centers for Disease Control & Prevention, NO. 1380, West Zhongshan Road, Shanghai 200336, China.
| | - Zhuoying Huang
- Department of Immunization Program, Shanghai Municipal Centers for Disease Control & Prevention, NO. 1380, West Zhongshan Road, Shanghai 200336, China.
| | - Ingrid L Contreras-Roldan
- Center for Health Studies, Universidad del Valle de Guatemala, 18 Av. 11-95, Zona 15, Vista Hermosa III, Guatemala City 01015, Guatemala.
| | - Berhanu Gebremeskel
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Matthew L Boulton
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
- Department of Internal Medicine, Division of Infectious Disease, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
| |
Collapse
|