Abstract
Background
COVID-19 has disproportionately impacted low-income immigrant communities. There is concern that the current uptake of COVID-19 vaccines is suboptimal and that this may be contributing to COVID-19 inequities. However, little is known about the acceptability of COVID-19 vaccines among immigrants in the U.S. Our goal was to gauge COVID-19 vaccine intentions among Brazilian immigrant women living in the U.S.
Methods
We conducted an online survey between July and August 2020 offered in Portuguese and English languages among a convenience sample of Brazilian immigrant women ages 18 years and older. Women were recruited through online advertisements by community-based organizations and social media groups to complete a survey that assessed intention to get a COVID-19 vaccine, attitudes toward vaccines, and perceptions about the pandemic.
Results
Of the total sample (N = 353), most (70.8%) indicated they intended to get a COVID-19 vaccine. In bivariate analyses, vaccine intentions were significantly associated with perceptions about the severity of the pandemic, trusted sources of health information, and the number of years lived in the U.S. Multinomial logistic regression models revealed that those who did not intend to be vaccinated had lived a longer time in the U.S. (OR: -0.12 95% CI: -0.19, -0.05), perceived the pandemic to be a minor issue (OR: 1.52, 95% CI: 0.62, 2.42), and trusted information from social networks (OR: -1.94, 95% CI: -3.25, -0.63) or private news sources (OR: -1.71, 95% CI: -2.78, -0.63).
Conclusions
While most women reported they would get a COVID-19 vaccine, efforts to reach those who may be hesitant should target those who have lived in the U.S. for longer periods of time and do not perceive the pandemic to be a major crisis. Healthcare providers may be particularly suited to deliver this information given high levels of trust.
Figures
Citation: Allen JD, Priebe Rocha L, Rose R, Hoch A, Porteny T, Fernandes A, et al. (2022) Intention to obtain a COVID-19 vaccine among Brazilian immigrant women in the U.S. PLoS ONE 17(9): e0274912. https://doi.org/10.1371/journal.pone.0274912
Editor: Carol E. Kaufman, Colorado School of Public Health, UNITED STATES
Received: July 8, 2021; Accepted: September 6, 2022; Published: September 26, 2022
Copyright: © 2022 Allen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The dataset for this study can be found at the following link from the Open ICPSR database. https://doi.org/10.3886/E164382V1.
Funding: Funding for this study was provided to JA in part by a grant from the Tisch College Community Research Center (https://tischcollege.tufts.edu/research/tcrc). Additional funding was provided by the National Center for Advancing Translational Sciences, National Institutes of Health, Award Number UL1TR002544 (https://ncats.nih.gov/). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The COVID-19 pandemic has devastated communities across the world, completely shifting our way of life at an unforeseen human cost. It pandemic has worsened long-standing health inequities in the U.S., with a disproportionate number of cases and deaths among Black people and non-Black Latinos [1–3]. Although these groups represent only approximately 30% of the general U.S. population, 55% of COVID-19 cases have occurred among people who are Latino and Black [4]. In a study of community-level factors associated with disparities in COVID-19 incidence, communities with a higher proportion of foreign-born non-citizens had more COVID-19 cases than those with lower proportions of immigrants [5]. Various commentaries further highlight the disproportionate burden of COVID-19 among immigrant communities and call for the prioritization of vaccine access within these vulnerable communities [6–11], yet little is currently known about COVID-19 vaccine acceptability among these populations.
In this study, we focus on Brazilian immigrants, both because they represent a growing number of immigrants to the U.S. and because there is little data available on their health status. In 2017, it was estimated that there were more than 450,000 Brazilian immigrants living in the U.S., although this may be inaccurate because a significant proportion of the Brazilian immigrant population do not have legal documents and may be underrepresented in the Census [12]. Indeed, the Brazilian Consulate-General in Boston, MA estimates that there are 350,000 Brazilians living within their jurisdiction alone [12, 13]. Another aspect of the relative “invisibility” of Brazilians is that they are categorized in the U.S. as Hispanic (e.g., Spanish-speaking), but few Brazilians identify with this label since they speak Portuguese. Some do not even identify with the term “Hispanic,” in part because Brazilian culture has strong African, Indigenous, and Portuguese influences, rather than Spanish influences [13, 14]. Thus, even as information about the impact of COVID-19 among immigrant populations becomes available, it may be difficult to assess the impact among Brazilians as a distinct ethnic group. This is of concern as Brazilians living in the U.S. are over-represented in low-wage, public-facing jobs that frequently lack paid sick leave or opportunities to work from home, putting them at greater risk for exposure to COVID-19 [1, 6–8, 10, 11, 15]. Like many immigrant communities, they also face myriad barriers to accessing healthcare, including lack of insurance and low English language proficiency [10].
The goal of this study was to assess COVID-19 vaccine intentions among Brazilian immigrants and to gather information that may inform interventions to control the spread of COVID-19. We chose to focus on Brazilian women because they are often the gatekeepers to healthcare for their families, arranging medical appointments for their children and partners [16, 17]. Additionally, at the time this study was conducted, there were studies and polls indicating that women may be less likely to intend to be vaccinated for COVID-19 than men [18]. This community-engaged study was conducted by investigators at Tufts University, the Brazilian Women’s Group (brazilianwomensgroup.org), and the Somerville Office of Immigrant Affairs.
Materials and methods
The Health Belief Model provides the conceptual underpinnings for this study [19]. Specifically, the model predicts that behavior is related to an individual’s perceived threat of an illness (perceived susceptibility), beliefs about its consequences (perceived severity), positive benefits and barriers to action, as well as exposure to factors that prompt action (cues to action), and confidence in the ability to succeed (self-efficacy). According to the theory, an individual that perceives a threat to health, is consecutively cued to action, and perceives that the benefits to action outweigh the barriers, are more likely to undertake the recommended preventive health action. In the current study, we conceptualize perceived susceptibility as having had a positive COVID test, perceived severity as subjective perceptions regarding the seriousness of the pandemic (particularly since the information from the Brazilian president suggested otherwise), perceived barriers (e.g., health insurance, limited English language proficiency), and experiencing cues to action through trusted information sources. We also considered factors that have been found in empirical studies to impact beliefs about COVID vaccination, such as age, marital status, household income [20–22], as well as time spent living in the U.S. [23–25].
Sample and setting
Data for this analysis are from a larger study on Brazilian immigrant women’s health priorities and experiences. A convenience sample was recruited from Brazilian social media pages (e.g., Facebook, WhatsApp) and through outreach by collaborating community partners (e.g., health and social service providers in Boston, MA) who posted information and a link to the study on their social media pages. Those eligible to participate were women aged 18 years or older, born in Brazil, and reported current residence in the U.S. The online survey was offered in Portuguese and English, and respondents could choose based on their language preference. The survey was translated by an American Translators Association-certified translator and was reviewed by native Portuguese speakers and an expert in Portuguese linguistics to ensure that the translation was linguistically and culturally accurate. Survey respondents were provided with a financial incentive ($20 gift card) for survey completion, which took an average of 18.5 minutes. Data was collected between July and August 2020. Potential respondents were required to read and consent to study participation before by checking a box on the survey cover page. Consent information included information about the study purpose, topics addressed in survey questions, and the voluntary nature of participation. All procedures were approved by the Institutional Review Board at Tufts University, Medford, MA, USA (protocol number 00001838).
Measures
We assessed our primary outcome (COVID-19 vaccine intentions) by asking: “If a vaccine became available to prevent the Coronavirus, would you want to get it?” (yes/no/don’t know). For those who responded that they would not get the vaccine we asked, “Why not?” and respondents were able to enter free-text responses. We also assessed prior testing for and diagnosis of COVID-19 (“Have you been tested for the Coronavirus? If so, what was the result?)” with response options: “I have been tested and I tested positive (I had coronavirus),” “I have been tested and I tested negative (I did not have coronavirus),” “I have been tested and I do not know the result,” or “I have not been tested.” We assessed perceptions regarding the seriousness of the pandemic with a question asking respondents whether they thought that the pandemic was “a significant crisis,” “a serious problem but not a crisis,” “a minor problem,” or “not a problem at all” [18].
We assessed trusted sources of health information by asking: “What source do you trust the most to give you accurate up-to-date information about health?” with response options: healthcare provider (i.e. doctor/physician, nurse practitioner/nurse); local network news; social network members (i.e., family member or friends); social media; public health agencies (e.g., Centers for Disease Control and Prevention); internet sites (e.g., WebMD, Google); governmental agencies or officials; pharmaceutical companies; religious or faith leaders.
Socio-demographic characteristics were assessed using items from the Brazilian Census [26], including race/ethnicity (White/Black/Indigenous/Asian/Pardo [“mixed”]), and educational attainment (incomplete primary education/completed primary/complete secondary (high school diploma) school and incomplete tertiary education (college degree)/complete tertiary education). We also assessed age, household income, and insurance status using items from the Behavioral Risk Factor Surveillance System [27]. We inquired about nativity with the question: “What is your country of birth” (Brazil/United States/ other). We asked about the number of years lived in the U.S. since prior evidence suggests that longer time spent living in the U.S. is associated with the adoption of health behaviors that are normative in this country [23–25]. Moreover, given that vaccine availability differs by geographic region, we asked the state of residence. Additionally, since acculturation appears to change beliefs, attitudes, and values regarding health behaviors and healthcare among immigrants [28], we asked about language spoken at home.
Analysis
We eliminated respondents who were born in a country other than Brazil (n = 11) and who had missing data on vaccine intentions (n = 1), leaving a final analytic sample of N = 353. For respondents that did not complete questions on household income and trusted information sources, we categorized these responses as “missing,” and retained these respondents in the sample since we did not want to lose information for the overall analysis.
Before analysis, we combined categories for some variables due to small cell sizes (n<10). Specifically, we re-categorized answers for marital status (single, never married/married or living as married/formerly married or separated), responses to the item regarding perceived significance of the pandemic were combined into two categories: “minor crisis” (a serious problem but not a crisis, a minor problem, not a problem at all) versus “a significant crisis” relabeled as “major crisis,” and most trusted sources of health information were combined: doctor/physician and nurse practitioner/nurse combined to “healthcare provider”; public health agencies and governmental agencies were combined in “public agencies”; social media and family members or friends combined to a category entitled “social networks”; internet and network news were combined to “private news sources”.
Descriptive statistics, including percentages, means, standard deviations, and ranges, were produced for all variables. We evaluated bivariate associations between vaccination intentions (outcome), key independent variables (e.g., COVID-19 experiences and perceptions, trusted sources of information) with Chi-squares and ANOVA.
For multivariable analyses, we combined those who did not intend to be vaccinated with those who were unsure about vaccination, due to sample size and prior evidence that those who refuse and those who are unsure about COVID-19 vaccination are similar in terms of correlates [29, 30]. Variables selected for inclusion in multivariable analyses included our key independent variables (prior COVID infection, perceived significance of the pandemic, trusted sources of health information), covariates deemed important predictors of COVID-19 vaccine intentions in prior research (e.g., age, income) [20–22], as well as other sociodemographic characteristics that demonstrated statistically significant associations with vaccine intentions in bivariate analyses (p < 0.05). Statistical significance was considered at the p < 0.05 level for the final model. Quantitative data analysis was generated using Stata software [31].
Analysis of free-text responses (reasons for not wanting to be vaccinated) was done using thematic analysis [32, 33]. Based on published literature on vaccine hesitancy [34], we categorized responses in terms of vaccine concerns (e.g., the vaccine has not been fully tested, could have serious side effects, was not effective) and trust in authorities charged with developing and/or administering the vaccine.
Results
Characteristics of study participants
A total of 353 Brazilian women were included in the analysis, with most (92.6%) completing the survey in Portuguese. The mean age was 39.4 years (SD = 11.8). Approximately two-thirds (63%) reported their race as White, and a quarter (25.8%) reported themselves as Pardo (mixed-race). Notably, a majority (78.2%) identified as “Latina,” yet only 5.4% identified as “Hispanic,” which supports previous reports that Brazilians do not identify as Hispanic [13, 14, 35]. The average time living in the U.S. was 11.81 years (SD = 9.09, range = 0.25–40). Most lived in Massachusetts (70.4%), with smaller percentages residing in New Jersey (6.3%), Florida (5.7%), and California (5.1%). Nearly half of participants (47.0%) spoke only Portuguese at home and less than half (44.2%) spoke both English and Portuguese at home. Over half (512.%) reported an annual household income of less than $50,000. Nearly half (48.7%) had completed tertiary education (equivalent to a U.S. college degree). The majority (68.8%) reported being married or living as married. More than a third (36.4%) had public insurance and 19.3% were uninsured. The majority (72.0%) reported that they had not been tested for COVID-19; only 4.5% reported they had both been tested for and diagnosed with COVID-19. See Table 1.
COVID-19 vaccine intentions
Most (70.8%) said they would get a COVID-19 vaccine and 18.7% were unsure. Among those who reported that they would not be vaccinated, the major factors (from free text responses) were: the vaccine had not been fully tested (30.9%), could have serious side effects (17.6%), or was not effective (8.8%). Other participants reported that they would not get vaccinated due to mistrust of the government (8.8%) and other systems supporting the production of the vaccine (10.3%), as well as a general mistrust of vaccines (e.g., “I’ve never taken a vaccine in my life”) (8.8%).
Bivariate results
Participants who considered the pandemic to be a minor problem were less likely to intend to be vaccinated compared to those who considered it a significant crisis (52.6% vs. 76.0%, p < 0.001). Those whose most trusted sources of health information were private news sources or social networks were less likely to report that they would get the vaccine compared to those who listed their most trusted source of information as healthcare providers (63.4% vs. 73.5%). Additionally, those living in the U.S. for longer periods were less likely to intend to be vaccinated than those that had immigrated more recently. See Table 1.
Multivariate analysis
In Model 1, which included socio-demographic characteristics (age, marital status, income), participants were significantly less likely to intend to get a vaccine if they had spent more time living in the U.S. (OR: -0.10, 95% CI: -0.16, -0.04). In Model 2, which controlled for age, marital status, income, and time in the U.S., we found that both perceived severity of the pandemic and trusted source of health information were associated with vaccine intentions. Specifically, participants who perceived the pandemic to be a major crisis were more likely to say they would be vaccinated compared to those who identified the pandemic as a minor crisis (OR: 1.52, 95% CI: 0.62, 2.42). Additionally, those who reported that their most trusted sources of health information were social networks (i.e., social media, family or friends) or private news sources (i.e., network news and internet) were significantly more likely to report that they would not be vaccinated compared with those who reported healthcare professionals as their most trusted sources of health information (social networks OR: -1.94, 95% CI:-3.25, -0.63; private news sources OR: -1.71, 95% CI: -2.78, -0.63). Trust in information from public agencies was not statistically different from trust in healthcare providers (OR: 0.10, 95% CI: -1.29, 1.50). Participants who had lived longer in the U.S. were significantly less likely to intend to get the vaccine compared to those that had lived in the U.S. for longer periods (OR: -0.12, 95% CI: -0.19, -0.05). See Table 2. We did not find differences in findings when we ran the same multivariable models comparing those who reported that they would be vaccinated versus those who reported that they were unsure (not shown).
Discussion
Most of the Brazilian immigrant women in this study reported that they would accept a COVID-19 vaccine. In multivariable analyses controlling for a range of socio-demographic factors, those who perceived the pandemic to be a major crisis and those who most trusted information from healthcare providers were more likely to report that they would take the vaccine. Additionally, we found evidence that longer periods of time spent living in the U.S. were associated with being less likely to intend to vaccinate.
To date, few studies have assessed COVID-19 vaccine intentions among immigrant populations in the U.S. and results have been mixed, perhaps due to differences in the time when data were collected or sampling methods. Data from a nationally representative sample of N = 1936 adults ages 18–65 collected between February 12—March 3, 2021, found that COVID-19 vaccine hesitancy was similar between foreign-born Hispanics and all other (non-foreign) racial and ethnic groups [36]. However, a national survey conducted in May 2021 by the Kaiser Family Foundation found that 31% of “potentially undocumented” Hispanic adults reported having received at least one dose of the COVID-19 vaccine, compared with 61% of legal permanent residents and 46% of permanent residents [37]. Another survey conducted in December 2020 by the Urban Institute among California residents found that adults in immigrant families were more likely than other adults in to report they would definitely or probably get a COVID-19 vaccine (75% versus 68%) [38].
Our finding that over 70% of Brazilian immigrant women intended to be vaccinated is aligned with national polls among the general U.S. population taken around the same time period which reported that 50–74% of those polled intended to be vaccinated [21, 39–42]. Polls and surveys have generally found that individuals more likely to accept a vaccine were non-Hispanic White and had higher levels of education and income [40, 43]. It is possible that our finding of relatively high vaccine intentions among our sample may be related to the high level of vaccine acceptance in Brazil. For example, 73% of adults aged 60 and older living in Brazil received a flu vaccine in 2015–2016 [44], compared with only 63% of U.S adults of the same age during the same year [45]. In a large nationally representative survey done in Brazil in August 2020, 89% of respondents said that they intended to get the COVID-19 vaccine when it became available [46]. The high level of vaccine acceptance in Brazil (as opposed to the U.S.) may also help to explain our finding that the number of years living in the U.S. was negatively associated with the intention to get the vaccine.
Our observation that the perceived severity of the pandemic was associated with vaccine intentions is not surprising and is predicted by the Health Belief Model. In general, perceived severity of illness has been associated with vaccine uptake of the human papillomavirus (HPV) and influenza vaccines [47–49]. In addition, Reiter, et al. (2020) found that greater perceived severity of the pandemic was associated with an increased likelihood of accepting the COVID-19 vaccine in a large U.S. sample [21]. We also found that those who had high levels of trust in health information from healthcare providers were more likely to have positive vaccine intentions, while those who trusted social networks and private news sources were more likely to report that they would not get the vaccine or were unsure [50, 51]. Other studies have similarly found that physicians are trusted sources of health information and can serve as important cues to action to promote COVID-19 vaccine uptake among general populations [21, 34, 40, 41], and we found this in a prior qualitative study among Brazilian immigrants [52]. To strengthen the impact of health information among the Brazilian population, healthcare providers should ensure health communication regarding COVID-19 vaccination is culturally competent (e.g., tailored to meet people’s social, cultural, and linguistic needs) [8, 53]. Family and friends can also be important sources of information and cues to action, although if misinformed, can perpetuate myths and misinformation [54, 55].
Before discussing the implications of our findings, it is important to acknowledge limitations. We analyzed data from a convenience sample and the survey was conducted as part of a larger study on Brazilian women’s health experiences. As a result, the results may not be generalizable since those willing to complete health surveys may be more receptive to health interventions [56]. Moreover, since a monetary incentive was provided, we cannot rule out the possibility that surveys were taken by those who were ineligible but misrepresented themselves to gain the incentive. Also, since these analyses are cross-sectional, temporal relationships between vaccine intentions and independent variables cannot be inferred. In addition, we collected this data before any COVID-19 vaccines were available, so there was no information available about vaccine characteristics (e.g., efficacy, number of doses), which may influence vaccine intentions. More research on current vaccine intentions in the Brazilian immigrant community (including men) will be necessary to update and validate our findings, especially as the pandemic continues.
Regardless, as the first study of COVID-19 vaccine intention among Brazilian immigrants in the U.S., our results can help to inform strategies to promote vaccination. While our findings suggest that many Brazilian immigrant women are amenable to taking the COVID-19 vaccine, about a third were either unsure or stated they would not be vaccinated. To reach those who were unsure or do not intend to be vaccinated, the serious nature of the pandemic should be stressed to more accurately aligned with perceived severity, although this must be done in ways that avoid causing undue stress or panic. Vaccine messaging by healthcare providers may be effective with this population. Encouragement of vaccination (i.e., ‘cue to action’) by healthcare providers is especially important given the strong impact of provider recommendations documented in numerous studies [57]. Specifically, studies of other vaccine types found that presumptive language by providers, which presents vaccine uptake as the default option (e.g., “We are going to administer your vaccine today”), is more effective than conversational language that actively questions the patient about their willingness to be vaccinated [57]. However, many Brazilian immigrants experience major barriers to access of health care, as they often do not have a primary source of healthcare and lack health insurance [58]. An alternative model is the dissemination of information through local public health agencies. For example, the use of community health workers that are trained and hired by public health agencies to provide vaccine information has been recommended by the World Health Organization and others [59, 60], and this model has been successfully employed in the U.S. [61]. In our prior research, we found that many Brazilians have strong family/friend ties and that these communication networks are strong [62], which suggests promise for this intervention model.
Conclusions
Our findings indicate that most Brazilian immigrant women are amenable to taking the COVID-19 vaccine. However, to maximize the full benefits of vaccination within this community, it will be necessary to make concerted efforts to reach those who are unsure or opposed to taking the vaccine. Consistent with the Health Belief Model, our findings suggest that vaccination efforts should stress the severity of the COVID-19 pandemic and target Brazilian immigrants who have lived a long time in the U.S. Healthcare providers may be particularly suited to provide cues to action, given high levels of trust. Local cultural media outlets may also help to ensure that people have accurate information about the vaccine. While these findings provide new insights into potential COVID-19 vaccine uptake among immigrant communities in the U.S., additional research will be needed to assess prospective relationships between COVID-19 vaccination with perceived severity of the pandemic and health information from trusted information sources. Moreover, it may be useful to examine additional constructs from the Health Belief Model that were not assessed in this study, including perceived susceptibility, perceived benefits of vaccination, as well as self-efficacy in navigating the healthcare system to obtain a vaccine.
Acknowledgments
We thank Stacy Chen and Amy Kaplan for their work on the survey. We thank Cristiane Soares for her contributions to the study. We are indebted to our community partners for collaborating with us on the study.
References
- 1. Hooper MW, Nápoles AM, Pérez-Stable EJ. COVID-19 and Racial/Ethnic Disparities. JAMA. 2020 Jun 23;323(24):2466–7. pmid:32391864
- 2. Kim SJ, Bostwick W. Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago: Health Education & Behavior [Internet]. 2020 May 21 [cited 2020 Oct 28]; Available from: https://journals.sagepub.com/doi/10.1177/1090198120929677 pmid:32436405
- 3. Killerby ME. Characteristics Associated with Hospitalization Among Patients with COVID-19—Metropolitan Atlanta, Georgia, March–April 2020. MMWR Morb Mortal Wkly Rep [Internet]. 2020 [cited 2020 Oct 28];69. Available from: https://www.cdc.gov/mmwr/volumes/69/wr/mm6925e1.htm pmid:32584797
- 4. Stokes EK. Coronavirus Disease 2019 Case Surveillance—United States, January 22–May 30, 2020. MMWR Morb Mortal Wkly Rep [Internet]. 2020 [cited 2020 Oct 28];69. Available from: https://www.cdc.gov/mmwr/volumes/69/wr/mm6924e2.htm pmid:32555134
- 5. Figueroa JF, Wadhera RK, Lee D, Yeh RW, Sommers BD. Community-Level Factors Associated With Racial And Ethnic Disparities In COVID-19 Rates In Massachusetts. Health Affairs. 2020 Aug 27; pmid:32853056
- 6. Al-Oraibi A, Martin CA, Hassan O, Wickramage K, Nellums LB, Pareek M. Migrant health is public health: a call for equitable access to COVID-19 vaccines. The Lancet Public Health. 2021 Mar 1;6(3):e144. pmid:33640075
- 7. Thomas CM, Osterholm MT, Stauffer WM. Critical Considerations for COVID-19 Vaccination of Refugees, Immigrants, and Migrants. The American Journal of Tropical Medicine and Hygiene. 2021 Feb 3;104(2):433–5. pmid:33534734
- 8. Waterman LZ. Cultural competence in vaccine rollout: migrants would face difficulties accessing covid-19 vaccines. BMJ. 2021 Jan 26;372:n220. pmid:33500270
- 9. Artiga S, Ndugga N, Pham O. Immigrant Access to COVID-19 Vaccines: Key Issues to Consider [Internet]. KFF. 2021 [cited 2021 Jan 13]. Available from: https://www.kff.org/racial-equity-and-health-policy/issue-brief/immigrant-access-to-covid-19-vaccines-key-issues-to-consider/
- 10. Clark E, Fredricks K, Woc-Colburn L, Bottazzi ME, Weatherhead J. Disproportionate impact of the COVID-19 pandemic on immigrant communities in the United States. PLOS Neglected Tropical Diseases. 2020 Jul 13;14(7):e0008484. pmid:32658925
- 11. Crawshaw AF, Deal A, Rustage K, Forster AS, Campos-Matos I, Vandrevala T, et al. What must be done to tackle vaccine hesitancy and barriers to COVID-19 vaccination in migrants? Journal of Travel Medicine [Internet]. 2021 Mar 26 [cited 2021 Apr 6];(taab048). Available from: pmid:33772312
- 12.
Granberry P, Valentino K. Latinos in Massachusetts: Brazilians. 2020;14. Gastón Institute Publications [Internet]. 2020 Apr 1; Available from: https://scholarworks.umb.edu/gaston_pubs/251
- 13. Holmes L, Marcelli E, Buxton O. (In) visible (im) migrants: The Health and Socioeconomic Intergration of Brazilians in Metropolitan Boston. 2007.
- 14. Lima A, Siqueira C. Brazilians in the U.S. and Massachusetts: A Demographic and Economic Profile. Gastón Institute Publications [Internet]. 2007 Nov 1; Available from: https://scholarworks.umb.edu/gaston_pubs/50
- 15. Langellier BA. Policy Recommendations to Address High Risk of COVID-19 Among Immigrants. Am J Public Health. 2020 Jun 25;110(8):1137–9. pmid:32584591
- 16. Purk JK. Who is maintaining the family health care? An examination of health care behaviors in the dual-earner family. Sociological Viewpoints. 2012 Fall;28(1):49–71.
- 17. Zvara BJ, Schoppe‐Sullivan SJ, Dush CK. Fathers’ Involvement in Child Health Care: Associations with Prenatal Involvement, Parents’ Beliefs, and Maternal Gatekeeping. Family Relations. 2013;62(4):649–61. pmid:26405366
- 18. Latkin CA, Dayton L, Yi G, Colon B, Kong X. Mask usage, social distancing, racial, and gender correlates of COVID-19 vaccine intentions among adults in the US. PLOS ONE. 2021 Feb 16;16(2):e0246970. pmid:33592035
- 19. Janz NK, Becker MH. The Health Belief Model: A Decade Later. Health Education Quarterly Spring 1984. Vol 11(1): 1–47. pmid:6392204
- 20. Lazarus JV, Wyka K, Rauh L, Rabin K, Ratzan S, Gostin LO, et al. Hesitant or Not? The Association of Age, Gender, and Education with Potential Acceptance of a COVID-19 Vaccine: A Country-level Analysis. Journal of Health Communication. 2020 Oct 2;25(10):799–807. pmid:33719881
- 21. Reiter PL, Pennell ML, Katz ML. Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated? Vaccine. 2020 Sep 29;38(42):6500–7. pmid:32863069
- 22. Ruiz JB, Bell RA. Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey. Vaccine. 2021 Feb 12;39(7):1080–6. pmid:33461833
- 23. Akresh IR. Dietary Assimilation and Health among Hispanic Immigrants to the United States. J Health Soc Behav. 2007 Dec 1;48(4):404–17. pmid:18198687
- 24. Brown WM, Consedine NS, Magai C. Time spent in the united states and breast cancer screening behaviors among ethnically diverse immigrant women: Evidence for acculturation? J Immigrant Health. 2006 Oct;8(4):347–58. pmid:16645898
- 25. Gordon-Larsen P, Harris KM, Ward DS, Popkin BM. Acculturation and overweight-related behaviors among Hispanic immigrants to the US: the National Longitudinal Study of Adolescent Health. Social Science & Medicine. 2003 Dec 1;57(11):2023–34.
- 26.
Population Census | IBGE [Internet]. [cited 2020 Oct 27]. Available from: https://www.ibge.gov.br/en/statistics/social/population/18391-2010-population-census.html?edicao=19261&t=o-que-e
- 27.
CDC—BRFSS—Questionnaires [Internet]. 2020 [cited 2020 Oct 27]. Available from: https://www.cdc.gov/brfss/questionnaires/index.htm
- 28. Dow HD. The Acculturation Processes: The Strategies and Factors Affecting the Degree of Acculturation. Home Health Care Management & Practice. 2011 Jun 1;23(3):221–7.
- 29.
Callaghan T, Moghtaderi A, Lueck JA, Hotez PJ, Strych U, Dor A, et al. Correlates and Disparities of COVID-19 Vaccine Hesitancy [Internet]. Rochester, NY: Social Science Research Network; 2020 Aug [cited 2022 Jan 11]. Report No.: ID 3667971. Available from: https://papers.ssrn.com/abstrac=3667971t
- 30. Dubé E, Vivion M, MacDonald NE. Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications. Expert Review of Vaccines. 2015 Jan 2;14(1):99–117. pmid:25373435
- 31.
StataCorp. Stata Statistical Software: Release 16. College Station, TX: StataCorp LLC; 2019.
- 32. Fereday J, Muir-Cochrane E. Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development. International Journal of Qualitative Methods. 2006 Mar 1;5(1):80–92.
- 33. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006 Jan 1;3(2):77–101.
- 34. Allen JD, Abuelezam NN, Rose R, Fontenot HB. Factors associated with the intention to obtain a COVID-19 vaccine among a diverse sample of womenin the U.S. Translational Behavioral Medicine. 2021 Mar;11(3):785–92.
- 35. Marrow H. To be or not to be (Hispanic or Latino): Brazilian Racial and Ethnic Identity in the United States. Ethnicities. 2003 Dec;3(4):427–64.
- 36. Frisco ML, Van Hook J, Thomas KJA. Racial/ethnic and nativity disparities in U.S. Covid-19 vaccination hesitancy during vaccine rollout and factors that explain them. Social Science & Medicine. 2022 Aug 1;307:115183.
- 37.
Safarpour A, Stokes M, 2021. KFF COVID-19 Vaccine Monitor: COVID-19 Vaccine Access, Information, and Experiences Among Hispanic Adults in the U.S. [Internet]. KFF. 2021 [cited 2022 Aug 11]. Available from: https://www.kff.org/coronavirus-covid-19/poll-finding/kff-covid-19-vaccine-monitor-access-information-experiences-hispanic-adults/
- 38. Gonzalez D, Karpman, Michael, Bernstein, Hamutal. COVID-19 Vaccine Attitudes among Adults in Immigrant Families in California. Urban Institute. 2021 Apr;14.
- 39. Malik AA, McFadden SM, Elharake J, Omer SB. Determinants of COVID-19 Vaccine Acceptance in the U.S. medRxiv. 2020 May 24;2020.05.22.20110700.
- 40. Fisher KA, Bloomstone SJ, Walder J, Crawford S, Fouayzi H, Mazor KM. Attitudes Toward a Potential SARS-CoV-2 Vaccine: A Survey of U.S. Adults. Annals of Internal Medicine [Internet]. 2020 Sep 4 [cited 2020 Oct 15]; Available from: https://www.acpjournals.org/doi/full/10.7326/M20-3569
- 41. Earnshaw VA, Eaton LA, Kalichman SC, Brousseau NM, Hill EC, Fox AB. COVID-19 conspiracy beliefs, health behaviors, and policy support. Transl Behav Med [Internet]. 2020 Sep 10 [cited 2020 Nov 10]; Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499784/
- 42. Szilagyi PG, Thomas K, Shah MD, Vizueta N, Cui Y, Vangala S, et al. National Trends in the US Public’s Likelihood of Getting a COVID-19 Vaccine—April 1 to December 8, 2020. JAMA. 2021 Jan 26;325(4):396–8.
- 43. Carpiano RM. Demographic Differences in US Adult Intentions to Receive a Potential Coronavirus Vaccine and Implications for Ongoing Study [Internet]. Public and Global Health; 2020 Sep [cited 2020 Nov 5]. Available from: http://medrxiv.org/lookup/doi/10.1101/2020.09.07.20190058
- 44. Sato APS. What is the importance of vaccine hesitancy in the drop of vaccination coverage in Brazil? Rev Saúde Pública. 2018 Nov 29;52:96. pmid:30517523
- 45. Centers for Disease Control and Prevention (CDC). Flu Vaccination Coverage, United States, 2015–16 Influenza Season [Internet]. 2020 [cited 2020 Nov 5]. Available from: https://www.cdc.gov/flu/fluvaxview/coverage-1516estimates.htm
- 46. Mazzo A. 91% dos brasileiros pretendem se vacinar ou já se vacinaram, mostra Datafolha. Folha de S Paulo [Internet]. 2021 May 18 [cited 2021 Jul 11]; Available from: https://www1.folha.uol.com.br/equilibrioesaude/2021/05/91-dos-brasileiros-pretendem-se-vacinar-ou-ja-se-vacinaram-mostra-datafolha.shtml
- 47. Brewer NT, Fazekas KI. Predictors of HPV vaccine acceptability: A theory-informed, systematic review. Preventive Medicine. 2007 Aug 1;45(2):107–14. pmid:17628649
- 48. Cox DS, Cox AD, Sturm L, Zimet G. Behavioral interventions to increase HPV vaccination acceptability among mothers of young girls. Health Psychology. 2010;29(1):29–39. pmid:20063933
- 49. Conroy K, Rosenthal SL, Zimet GD, Jin Y, Bernstein DI, Glynn S, et al. Human Papillomavirus Vaccine Uptake, Predictors of Vaccination, and Self-Reported Barriers to Vaccination. Journal of Women’s Health. 2009 Sep 28;18(10):1679–86. pmid:19785564
- 50. Fridman I, Lucas N, Henke D, Zigler CK. Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey. JMIR Public Health and Surveillance. 2020 Sep 15;6(3):e22060. pmid:32930670
- 51. Ali SH, Foreman J, Tozan Y, Capasso A, Jones AM, DiClemente RJ. Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study. JMIR Public Health and Surveillance. 2020 Oct 8;6(4):e21071. pmid:32936775
- 52. Priebe Rocha L, Rose R, Hoch A, Soares C, Fernandes A, Galvão H, et al. The Impact of the COVID-19 Pandemic on the Brazilian Immigrant Community in the U.S: Results from a Qualitative Study. International Journal of Environmental Research and Public Health. 2021 Jan;18(7):3355. pmid:33805055
- 53. de Crescenzo C. Multi-Lingual Communication May Improve Access to Timely COVID Vaccination Among Patients Whose Preferred Language Is Not English. Journal of the American College of Surgeons. 2021;e102–e102.
- 54. van der Meer TGLA, Jin Y. Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source. Health Communication. 2020 Apr 15;35(5):560–75. pmid:30761917
- 55. Jackson DN, Peterson EB, Blake KD, Coa K, Chou WYS. Americans’ Trust in Health Information Sources: Trends and Sociodemographic Predictors. Am J Health Promot. 2019 Nov 1;33(8):1187–93. pmid:31337226
- 56. Bussing R, Koro-Ljungberg M, Noguchi K, Mason D, Mayerson G, Garvan CW. Willingness to use ADHD treatments: A mixed methods study of perceptions by adolescents, parents, health professionals and teachers. Social Science & Medicine. 2012 Jan 1;74(1):92–100. pmid:22133584
- 57. Jacobson RM, Sauver JLS, Griffin JM, MacLaughlin KL, Rutten LJF. How health care providers should address vaccine hesitancy in the clinical setting: Evidence for presumptive language in making a strong recommendation. Human Vaccines & Immunotherapeutics. 2020 Sep 1;16(9):2131–5. pmid:32242766
- 58. Granberry P, Valentino K. Latinos in Massachusetts: Brazilians. Gastón Institute Publications [Internet]. 2020 Apr 1; Available from: https://scholarworks.umb.edu/gaston_pubs/251
- 59. Ballard M, Bancroft E, Nesbit J, Johnson A, Holeman I, Foth J, et al. Prioritising the role of community health workers in the COVID-19 response. BMJ Global Health. 2020 Jun 1;5(6):e002550. pmid:32503889
- 60.
World Health Organization, Fund (UNICEF) UNC. The role of community health workers in COVID-19 vaccination: implementation support guide, 26 April 2021 [Internet]. World Health Organization; 2021 [cited 2022 Jan 11]. Report No.: WHO/2019-nCoV/NDVP/CHWs_role/2021.1. Available from: https://apps.who.int/iris/handle/10665/340986
- 61. Peretz PJ, Islam N, Matiz LA. Community Health Workers and Covid-19—Addressing Social Determinants of Health in Times of Crisis and Beyond. New England Journal of Medicine. 2020 Nov 5;383(19):e108. pmid:32966715
- 62. Priebe Rocha L, Soares C, McGregor A, Chen S, Kaplan A, Rose RR, et al. Understanding Health Priorities, Behaviors, and Service Utilization Among Brazilian Immigrant Women: Implications for Designing Community-Based Interventions. J Racial and Ethnic Health Disparities. 2021 Jan 5;9:135–45.