Literature DB >> 34862142

Perceptions of COVID-19 vaccines in a predominantly Hispanic patient population from the Texas-Mexico border.

Collin J Amundson1, Jeri J Sias2, Gabriel A Frietze2.   

Abstract

BACKGROUND: Compared with nationwide averages, Hispanic individuals have experienced lower routine vaccination rates and have been disproportionately hospitalized for coronavirus disease 2019 (COVID-19). Few, if any, studies have examined the health beliefs surrounding the COVID-19 vaccines and adult vaccines among this population.
OBJECTIVES: This study aimed to (1) describe perceptions of COVID-19 vaccines in a predominantly Hispanic patient population in a federally qualified health center (FQHC) situated on the United States-Mexico border and (2) compare patient confidence in recommendations made by local clinic and government to obtain adult and COVID-19 vaccines.
METHODS: A bilingual (English or Spanish) written survey was administered to participants recruited from a convenience sample of patients in waiting areas of 4 clinic sites in an FQHC system on the Texas-Mexico border between March and May 2021. Survey items were derived from the Health Belief Model and captured beliefs surrounding perceived effectiveness, perceived harms, protection from the influenza vaccine, trust in the local clinic, and trust in the government.
RESULTS: A total of 58 participants aged 19-90 years, with a mean age of 57.28 years, completed the survey between March and May 2021, with 77.6% of respondents indicating they would accept a COVID-19 vaccine for themselves. Results revealed a trend among older adults in the study cohort to be more likely to trust the government in recommending vaccines than younger adults (r = 0.33, P ≤ 0.05) and a tendency toward higher vaccine acceptance among male survey participants (P = 0.026). The highest correlation that emerged was between perceived trust in local clinic provider and the perceived effectiveness of vaccines (r = 0.74, P < 0.01).
CONCLUSION: Trends related to perceptions of adult vaccines among Hispanic patients extend to the COVID-19 vaccines: especially trust in local clinic providers. Increased age may correlate to higher trust in a government-recommended vaccine. Results highlight the importance of the pharmacist giving the patient a clear recommendation to receive vaccination and strong local clinic messaging.
Copyright © 2022 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34862142      PMCID: PMC8570390          DOI: 10.1016/j.japh.2021.11.003

Source DB:  PubMed          Journal:  J Am Pharm Assoc (2003)        ISSN: 1086-5802


Background

Compared with nationwide averages, Hispanic individuals have experienced lower routine vaccination rates and have been disproportionately hospitalized for coronavirus disease 2019 (COVID-19). To understand the context and scope of lower vaccine rates among Hispanics, in the 2018–2019 influenza season, 37.1% of Hispanic respondents had influenza vaccine coverage compared with the national average of 45%. Furthermore, in a review of the American Heart Association’s COVID-19 registry, Hispanic patients bore a higher burden of morbidity and mortality from COVID-19. Pharmacists have taken a central role in immunizing adults against COVID-19.3, 4, 5 High vaccine coverage is the keystone to reducing hospitalization, curbing deaths, and relaxing of nonpharmaceutical interventions to prevent disease spread, according to the Centers for Disease Control and Prevention projections. As of July 14, 2021, approximately 55% of the total U.S. population have had at least 1 dose of a vaccine, and 48% of the U.S. population is fully vaccinated. However, for vaccine uptake to reach ideal levels, vaccine messaging must address patient-population perceptions. The Health Belief Model (HBM) has been widely used in the literature to describe how vaccination knowledge, attitudes, and beliefs affect behavior.10, 8, 9 However, there is no published literature describing perceptions, attitudes, and beliefs of COVID-19 vaccines in a primarily Spanish-speaking population. For vaccination efforts to reach all patients, collecting local beliefs and attitudes is key to adapting outreach. This study seeks to describe unique trends of perceptions of adult vaccines and COVID-19 vaccines within the framework of the HBM for a predominantly Hispanic population living along the United States–Mexico border. Through further bilingual survey of vaccine perceptions in the Hispanic population, outreach can better be tailored to achieve equity in vaccination rates.

Objectives

The 2 primary objectives for this study were to (1) describe perceptions of COVID-19 vaccines in a predominantly Hispanic patient population in a federally qualified health center (FQHC) situated on the United States–Mexico border and (2) compare patient confidence in recommendations made by local clinic and government to obtain adult and COVID-19 vaccines.

Methods

A written survey was administered to participants recruited from a convenience sample of patients in waiting areas of 4 clinic sites in an FQHC system spanning rural and urban areas of the Texas–Mexico border between March and May 2021. The research team provided information about the project and obtained informed consent in each participants’ language of choice. Participants meeting the inclusion criteria (18 years of age or older, able to speak and understand English or Spanish) and conveying interest were asked to volunteer for participation. Although responses were written, participants were offered help verbally in English or Spanish if they had difficulty reading or understanding survey items. Those who volunteered to participate were offered entrance into a raffle to win one of 3 gift certificates valued at < $20 each. The survey was developed in September 2020 before any COVID-19 vaccine was authorized and approved by the institutional review board (IRB) at the associated university on December 16, 2020.

Measures

Survey

The research team reviewed published literature on vaccine acceptance and hesitancy to adapt a survey relevant to the clinic population. , Survey items were originally developed and simplified in English to include basic demographics and variables related to vaccine acceptance, perceived efficacy, and safety, as well as trust (see Appendix 1). An experienced translator at the university reviewed and edited the survey document for correct Spanish. An initial demographics and background survey assessed age, gender, race, health conditions, and health insurance. Overall, the simple survey was designed to be completed in less than 10 minutes.
Appendix 1

Survey items

Survey itemDemographics (Spanish)Demographics (English)
1.Edad _____Age _____
2.Tengo/padezco de:Cancer, enfermedades de los riñones,Enfermedades de los pulmones, Problemas del sistema inmunológico, Obesidad, Problemas serios del corazón Enfermedad de la célula de Sickle, DiabetesI have:Cancer [] Kidney disease [] Lung diseasePoor immune system []Obesity Serious heart conditions Sickle cell disease []Diabetes
3.Género:Hombre Mujer [] Otros____________Gender:Male Female [] Other______
4.Seguro de Salud durante los últimos 12 MESES:Medicare, Medicaid, Seguro de Salud Privado No tiene seguro, No sabeHealth Insurance in last 12 MONTHS:Medicare []Medicaid []Private Insurance Not insured Don’t know
5.Raza/Etnia (escoja todos los que le apliquen):Hispano/a o Latino/a No-Hispano Caucásico/a o Blanco/a Asiático/a Afroamericano/a o Negro/a Indio Americano/a o Nativo/a de Alaska Raza/Etnia desconocida Otro (escríbalo por favor) ______Race/Ethnicity (check all that apply):Hispanic or Latino/a Non-Hispanic Caucasian or white Asian African American or blackNative American or Alaska NativeRace/Ethnicity Unknown Other (write in) _________
6.¿Con cuáles miembros de su familia vino usted hoy?Abuelo/abuela Padre/padrastro Madre/madrastra Hijo/hija Bisabuelo/bisabuela Tío/tíaHermano/hermana o medio hermano/hermanaAmigo/amiga Sobrino/sobrina Primo/primaNieto/nieta Suegro/suegra Cuñado/cuñadaWhich family members did you come with today?Grandparent Parent or step-parent Son or daughterGreat-grandparent Uncle or auntSibling or step-sibling Friend Niece or nephewCousin Grandson or granddaughterFather-in-law or mother-in-law Brother-in-law or sister-in-law
Survey Questions (Spanish)Survey Questions (English)
7.Si los Estados Unidos de América aprobara una vacuna contra el coronavirus (COVID-19), sin ningún costo para usted, permitiría que lo/la vacunaran?

No

If the United States approved a vaccine against coronavirus (COVID-19) at no cost to you, would you get vaccinated?

Yes

No

8.Si usted contestó que NO a la PREGUNTA 7, POR QUÉ no permitiría que lo/la vacunaran contra el COVID-19?

Porque creo que no funcionará

Porque me preocupan los efectos secundarios

Porque creo que es insegura

Porque es muy cara

Otro motivo (por favor explíquelo) _____

If you answered NO to QUESTION 7, WHY would you not get a COVID-19 vaccine?

I feel it will not work

I am worried about the side effects

I feel it is unsafe

Too expensive

Other (please explain)________________

9.¿Es usted el padre o tutor de niños o adolescentes menores de 18 años?

No

Are you a parent or guardian of children under the age of 18?

Yes

No

10.Si usted contestó que a la PREGUNTA 9, o sea, si los Estados Unidos de América aprobara una vacuna contra el coronavirus (COVID-19), sin ningún costo para usted, ¿aceptaría que sus hijos se vacunaran?

No

If you answered YES to QUESTION 9, if the United States approved a vaccine against coronavirus (COVID-19) at no cost to you, would you agree for your children to be vaccinated?

Yes

No

11.Si usted contestó que NO a la PREGUNTA 10, ¿POR QUÉ no aceptaría que se vacunaran sus hijos con la vacuna del COVID-19?

Porque pienso que no funcionará

Porque me preocupan los efectos secundarios que podría tener esta vacuna.

Porque pienso que es insegura

Porque es muy cara

Otros motivos________________

If you answered NO to QUESTION 10, WHY would you NOT agree for your children to get the COVID-19 vaccine?

I feel it will not work

I am worried about the side effects

I feel it is unsafe

Too expensive

Other________________

12.Pienso que las vacunas son muy buenas para prevenir las infecciones.

Totalmente de acuerdo

De acuerdo

No lo sé

Estoy en Desacuerdo

Totalmente en desacuerdo

Vaccines work well to prevent infections.

Strongly agree

Agree

Neutral

Disagree

Strongly Disagree

13.¿Cuáles de las siguientes vacunas son importantes para su salud? (Marque todas las que usted crea que son importantes)

Influenza/gripe cada año

Tétanos cada 10 años

Herpes Zoster después de los 50 años

Neumonía (debida a neumococos)

No sé

Yo no creo que las vacunas sean importantes para los adultos

Which of the following vaccines are important for my health? (Check all that apply)

Influenza/flu every year

Tetanus every 10 years

Shingles/Zoster after age 50

Pneumonia (pneumococcal) vaccine

I don’t know

I do not think vaccines are important for adults

14.Ponerse la vacuna contra la influenza cada año es una buena forma de proteger a mi familia de la enfermedad.

Totalmente de acuerdo

De acuerdo

No lo sé

Estoy en Desacuerdo 5.Totalmente en desacuerdo

Getting a flu vaccine every year is a good way to protect my family from disease.

Strongly agree

Agree

Neutral

Disagree

Strongly Disagree

15.Si un profesional de la medicina en la Clínica La Fe me recomienda una vacuna, me la voy a aplicar.

Totalmente de acuerdo

De acuerdo

No lo sé

Estoy en Desacuerdo

Totalmente en desacuerdo

If a health care worker at La Fe recommends a vaccine, I will get it.

Strongly agree

Agree

Neutral

Disagree

Strongly Disagree

16.Me preocupa que las vacunas puedan causarme un daño.

Totalmente de acuerdo

De acuerdo

No lo sé

Estoy en Desacuerdo

Totalmente en desacuerdo

I am worried that vaccines will harm me.

Strongly agree

Agree

Neutral

Disagree

Strongly Disagree

17.Si el gobierno recomienda una vacuna, me la voy a aplicar.

Totalmente de acuerdo

De acuerdo

No lo sé

Estoy en Desacuerdo

Totalmente en desacuerdo

If the government recommends a vaccine, I will get it.

Strongly agree

Agree

Neutral

Disagree

Strongly Disagree

Abbreviation used: COVID-19, coronavirus disease 2019.

Note: The original surveys in English and Spanish were 3 and 4 pages in length, respectively, one sided, black and white, 15-point sans serif font, with space between items. Signifies a checkbox.

Perceptions of COVID-19 vaccines in a predominantly Hispanic patient population from the Texas-Mexico border

Survey questions included assessment of COVID-19 vaccine acceptance for self and for children, motives for not accepting COVID-19 vaccine, and perceived importance of vaccines. To assess variables based on the HBM, 3 items were addressed: perceived effectiveness of vaccines, perceived protection from the influenza vaccine, and perceived harms. Trust in the local clinic and trust in the government were also assessed. Responses were keyed with a 5-point Likert scale, and all responses were reverse coded so that higher scores indicate greater perceived effectiveness, protection, harm, and trust.

Approach to analysis

Means and SDs were examined for continuous variables and percentages for categorical variables. Correlational analyses were used to examine associations between continuous variables. Chi-square tests for independence were originally planned to examine the associations between categorical variables. However, owing to sample size constraints, the violation of minimum cell frequency for the chi-square test for independence was violated. To suit the sample size and data collected, Fisher exact probability test substituted a 2-by-2 chi-square analysis when the minimum cell frequency assumption was violated.

Results

A total of 58 participants (mean age 57.28 years, SD 18.33, range 19–90) were recruited from a Texas–Mexico border community health center clinic. Baseline demographics of survey respondents are included in Table 1 . Participants were predominantly Hispanic and female and mostly completed the survey in Spanish. Nearly half of the sample reported to be uninsured. Participants perceived the influenza vaccine to be the most important for their health (81%), followed by the tetanus vaccine (79.3%), the pneumococcal vaccine (70.7%), and the shingles vaccine (58.6%).
Table 1

Demographics and vaccine acceptance (N = 58)

VariableTotal responses% of responses
Gender
Female4069
Male1831
Language
Spanish4374.1
English1525.9
Race
Hispanic or Latino or Latina5696.6
Non-Hispanic white11.7
Missinga11.7
Arrived to clinic with
Arrived alone3153.4
Son or daughter1220.7
Friend46.9
Grandchild23.4
Other915.5
COVID-19 vaccine acceptance for self
Yes4577.6
No1017.2
Missinga35.2
Parent or guardian of children younger than the age of 18 y
Yes1525.9
No3865.5
Missinga58.6
COVID-19 vaccine acceptance for children
Yes1831
No46.9
Not applicable (not parent or guardian for child)3662.1
Reported insurance statusb
Uninsured2441.4
Medicare2034.5
Medicaid1525.9
Private health plan1017.2
Do not know35.2

Abbreviation used: COVID-19, coronavirus disease 2019.

Missing refers to missing data. Percentages may not add up to 100% owing to rounding.

Data were collected using a “select all that apply” option; observations add up to more than 100%.

Demographics and vaccine acceptance (N = 58) Abbreviation used: COVID-19, coronavirus disease 2019. Missing refers to missing data. Percentages may not add up to 100% owing to rounding. Data were collected using a “select all that apply” option; observations add up to more than 100%.

Vaccine acceptance

Ten participants (17%) reported that they would not accept the COVID-19 vaccine for themselves if approved in the United States at no cost to the patient, and 4 reported that they would not accept the COVID-19 vaccine for their children if approved in the United States and at no cost Table 1. Fisher exact probability test was used to examine the association between gender and COVID-19 vaccine acceptance and revealed that men were more likely to accept the vaccine in comparison with women (100% vs. 74.4%, respectively; P = 0.026). Owing to the limited sample size, chi-square analyses could not examine other associations owing to the violation of the assumption of minimum cell frequency.

Motives for not vaccinating

Motives behind not receiving the COVID-19 vaccine included being worried about adverse effects (n = 6) and feeling it was unsafe (n = 2), and 4 participants reported “other” motives. Motives behind not vaccinating children with the COVID-19 vaccine included being worried about adverse effects (n = 2) and feeling it was unsafe (n = 3), and 1 reported “other” motives.

Trust in the local clinic and trust in government

Several statistically significant correlations emerged as displayed in Table 2 . The strongest correlation was between perceived effectiveness of vaccines and trust in the local clinic (r = 0.74, P < 0.001). Trust in the local clinic was also associated with perceived protection from the influenza vaccine, perceived harms of vaccines, and trust in the government. The correlation of trust in the government had a statistically significant association with each of the variables. Notably, increasing reported age was positively associated trust in government to administer vaccines, but was not associated with other variables. Perceived harms of vaccines was inversely associated with trust in the local clinic, trust in government, and perceived protection from the influenza vaccine (Tables 1 and 2).
Table 2

Associations among perceived vaccine effectiveness, protection, harms, and trust based on 5-point Likert scale and age reported as a continuous variable (N = 58)

Variable1. Agea2. Perceived vaccine effectiveness3. Perceived influenza vaccine protection4. Perceived harms5. Trust in the local clinic6. Trust in the government
1. Agea------------
2. Perceived vaccine effectiveness0.01----------
3. Perceived influenza vaccine protection0.030.56b--------
4. Perceived harms−0.11−0.20−0.45b------
5. Trust in the local clinic−0.030.74b0.67b−0.37c----
6. Trust in the government0.33c0.57b0.71b−0.46b0.71b--
Mean(SD)57.28 (18.33)4.55 (.61)4.5 (.64)2.96 (1.25)4.21 (.96)4.32 (.81)

Note: The variables (1–6) were evaluated with the following survey items, and responses keyed on a 5-point Likert scale: (1) Age (self-reported), (2) Perceived effectiveness of vaccines (Vaccines work well to prevent infections), (3) Perceived protection from the influenza vaccine (Getting a flu vaccine every year is a good way to protect my family from disease), (4) Perceived harms (I am worried that vaccines will harm me), (5) Trust in the local clinic (If a health care worker at a clinic recommends a vaccine, I will get it), and (6) Trust in the government (If the government recommends a vaccine, I will get it).

Indicates that the correlation is reported using Pearson correlation coefficient (2 tailed). All other correlations were reported using Spearman rho (2 tailed).

P < 0.01.

P < 0.05.

Associations among perceived vaccine effectiveness, protection, harms, and trust based on 5-point Likert scale and age reported as a continuous variable (N = 58) Note: The variables (1–6) were evaluated with the following survey items, and responses keyed on a 5-point Likert scale: (1) Age (self-reported), (2) Perceived effectiveness of vaccines (Vaccines work well to prevent infections), (3) Perceived protection from the influenza vaccine (Getting a flu vaccine every year is a good way to protect my family from disease), (4) Perceived harms (I am worried that vaccines will harm me), (5) Trust in the local clinic (If a health care worker at a clinic recommends a vaccine, I will get it), and (6) Trust in the government (If the government recommends a vaccine, I will get it). Indicates that the correlation is reported using Pearson correlation coefficient (2 tailed). All other correlations were reported using Spearman rho (2 tailed). P < 0.01. P < 0.05.

Discussion

Immunization against COVID-19 requires equitable interventions to extend protection to adults most in need. Multiple reports of ranging from 20% to 40% of all adults refusing to vaccinate are emerging in national surveys.12, 13, 14, 15 However, at the time of this writing, there have not been any published Spanish-language surveys about COVID-19 vaccine perceptions in the Hispanic community in the United States. Results from this study signal that previously identified trends in the literature about vaccine confidence for routine vaccines extend to COVID-19 vaccines among Hispanic individuals living in this section of the Texas–Mexico border. Although the study was IRB approved before the widespread release of COVID-19 vaccine, results collected during initial vaccination phases revealed resistance to vaccination among this sample. Nearly 18% of participants responding that they had no intention to vaccinate with the COVID-19 vaccines. Perceived harms or adverse effects were the primary reasons for not intending to vaccinate. An early poll about vaccine uptake indicated that more Americans would accept COVID-19 vaccines if assured of their safety. When health care providers like pharmacists seek to educate patients about vaccines, assurance of safety is likely a very effective talking point. Survey results suggested that trust in local providers was strongly related to trust in vaccines. A moderate correlation of r = 0.74 in perceived effectiveness of vaccines and trust in the local clinic indicated that messaging from pharmacists, physicians, and other vaccinators was key to patients’ willingness to receive the vaccines, despite hesitancy. Strong provider recommendation has been shown in the literature to increase positive perceptions of vaccines and vaccination acceptance. Findings from our survey pointed to similar health behavior among the study population. Media coverage and politicization has especially undermined public trust of the COVID-19 vaccines. Many targets of misinformation involve conspiracies involving the government. However, these perceptions are not new. A recent study among a predominantly Hispanic population reveals that greater distrust of government vaccine messaging decreases reported influenza vaccine acceptance. This study reflected the same trend with trust in the government inversely associated with perceived harms, positively associated with confidence in effectiveness in vaccines, and positively associated with benefits of the influenza vaccine. The cor-relation observed with increasing age and trust in government recommendations of vaccines could be explained by the fact that older generations have seen historical victories that vaccines have had over infectious diseases such as smallpox, polio, and tetanus. Furthermore, older generations may be sheltered from the spread of misinformation through social media and online media sources. Gender differences within vaccine uptake confirm previous reports in the literature on COVID-19 perceptions. All published national surveys of attitudes toward potential COVID-19 vaccines and correlations of intentions to vaccinate have consistently shown that male participants are more likely to indicate intentions to vaccinate than female participants.12, 13, 14, 15 , , This trend suggests that increased outreach is needed for Hispanic women about the safety and efficacy of COVID-19 vaccines to achieve the key levels of vaccine coverage. Although survey sampling was done at different clinic locations, times, and days, a convenience sample was used to gather data among an underserved Hispanic population attending clinic visits. The survey offers groundwork for evaluating COVID-19 perceptions in a majority Hispanic community, but the survey items were not validated for internal consistency. Instead, questions were inspired from a validated vaccine hesitancy tool created by Larson et al. in 2015. A widely cited Gallup poll was adapted to Spanish and used in our survey to gauge vaccine acceptance in our clinic population. There was an effect between gender and vaccine uptake; however, these results should be interpreted with caution given the small sample size. Because the chi-squared criteria could not be achieved, conclusions could not be drawn about the expected differences between the variables on vaccine acceptance. Direct provider recommendation has been consistently shown to be the most effective at increasing vaccine acceptance in the past, even before the COVID-19 pandemic. Language-wise, presumptive language has been shown to specifically be more effective than conventional language for vaccine discussions, , for example, “after this appointment, we will schedule your COVID-19 vaccine with the nurse or pharmacist” versus “would you like to get the COVID19 shot today?” Although evaluation of presumptive language was outside the scope of the present survey, an area of potential research could examine whether these results could be replicated with COVID-19 vaccines. This survey constitutes one of the first studies that collected COVID-19 vaccines perceptions among underserved, underinsured Hispanic adults using a bilingual survey structure. Survey structure was a strength, given that many patients from the clinic capture area spoke Spanish. Collecting data via in-person survey administration avoids bias against participants who may not have Internet access or do not regularly respond to phone solicitation. Bias toward selecting for survey participants with only strong provaccine or strong antivaccine opinion, or Neyman’s bias, was attenuated in the survey collection period because participants were encouraged to complete a survey about positive and negative opinions of vaccines. Importantly, we acknowledge that the small sample size (N = 58) is a limitation of the current study and may have affected our conclusions. In particular, we were unable to examine factors associated with vaccine acceptance owing to our small sample size and therefore could not contribute to the body of literature regarding the correlates of vaccine acceptance. Another limitation is that we did not compare Hispanics with non-Hispanics; thus, future studies will be needed to determine whether responses differ for non-Hispanics. We also recognize the limitation that our current study collected data using a quantitative survey, which may not capture all the reasons why people are hesitant to get vaccinated; future studies may benefit from including qualitative data elements including an open-ended response to capture the multitude of reasons for being vaccine hesitant. Despite these limitations, several strong correlations have emerged in the results, revealing valuable information about Hispanic individuals’ perceptions of adult vaccines.

Conclusion

The results of this study confirm that trends related to perceptions of adult vaccines among Hispanic patients extend to the COVID-19 vaccines. Consistent with other national surveys, there was prevalence of resistance to the vaccines, especially among female survey participants. However, when patients had higher trust in the local clinic, they had less perception of vaccine harm, suggesting clinics and providers can influence vaccine beliefs. Furthermore, increasing age was associated with higher trust of the government in recommending vaccines. Potential solutions include the importance of pharmacist giving the patient a strong recommendation to receive vaccination and local clinic messaging specific to the needs of the community to increase vaccination uptake.
  14 in total

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Authors:  J A Harrison; P D Mullen; L W Green
Journal:  Health Educ Res       Date:  1992-03

2.  A meta-analysis of the effectiveness of health belief model variables in predicting behavior.

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Journal:  Health Commun       Date:  2010-12

3.  The architecture of provider-parent vaccine discussions at health supervision visits.

Authors:  Douglas J Opel; John Heritage; James A Taylor; Rita Mangione-Smith; Halle Showalter Salas; Victoria Devere; Chuan Zhou; Jeffrey D Robinson
Journal:  Pediatrics       Date:  2013-11-04       Impact factor: 7.124

4.  Impact of a physician recommendation.

Authors:  Paul M Darden; Robert M Jacobson
Journal:  Hum Vaccin Immunother       Date:  2014-11-06       Impact factor: 3.452

5.  Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021.

Authors:  Rebecca K Borchering; Cécile Viboud; Emily Howerton; Claire P Smith; Shaun Truelove; Michael C Runge; Nicholas G Reich; Lucie Contamin; John Levander; Jessica Salerno; Wilbert van Panhuis; Matt Kinsey; Kate Tallaksen; R Freddy Obrecht; Laura Asher; Cash Costello; Michael Kelbaugh; Shelby Wilson; Lauren Shin; Molly E Gallagher; Luke C Mullany; Kaitlin Rainwater-Lovett; Joseph C Lemaitre; Juan Dent; Kyra H Grantz; Joshua Kaminsky; Stephen A Lauer; Elizabeth C Lee; Hannah R Meredith; Javier Perez-Saez; Lindsay T Keegan; Dean Karlen; Matteo Chinazzi; Jessica T Davis; Kunpeng Mu; Xinyue Xiong; Ana Pastore Y Piontti; Alessandro Vespignani; Ajitesh Srivastava; Przemyslaw Porebski; Srinivasan Venkatramanan; Aniruddha Adiga; Bryan Lewis; Brian Klahn; Joseph Outten; James Schlitt; Patrick Corbett; Pyrros Alexander Telionis; Lijing Wang; Akhil Sai Peddireddy; Benjamin Hurt; Jiangzhuo Chen; Anil Vullikanti; Madhav Marathe; Jessica M Healy; Rachel B Slayton; Matthew Biggerstaff; Michael A Johansson; Katriona Shea; Justin Lessler
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2021-05-14       Impact factor: 35.301

6.  Community Pharmacists' Contributions to Disease Management During the COVID-19 Pandemic.

Authors:  Mark A Strand; Jeffrey Bratberg; Heidi Eukel; Mark Hardy; Christopher Williams
Journal:  Prev Chronic Dis       Date:  2020-07-23       Impact factor: 2.830

7.  Attitudes Toward a Potential SARS-CoV-2 Vaccine : A Survey of U.S. Adults.

Authors:  Kimberly A Fisher; Sarah J Bloomstone; Jeremy Walder; Sybil Crawford; Hassan Fouayzi; Kathleen M Mazor
Journal:  Ann Intern Med       Date:  2020-09-04       Impact factor: 25.391

8.  Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey.

Authors:  Jeanette B Ruiz; Robert A Bell
Journal:  Vaccine       Date:  2021-01-09       Impact factor: 3.641

9.  Attitudes towards COVID-19 vaccination, vaccine hesitancy and intention to take the vaccine.

Authors:  Maria Cordina; Mary A Lauri; Josef Lauri
Journal:  Pharm Pract (Granada)       Date:  2021-03-22

10.  Racial and Ethnic Differences in Presentation and Outcomes for Patients Hospitalized With COVID-19: Findings From the American Heart Association's COVID-19 Cardiovascular Disease Registry.

Authors:  Fatima Rodriguez; Nicole Solomon; James A de Lemos; Sandeep R Das; David A Morrow; Steven M Bradley; Mitchell S V Elkind; Joseph H Williams; DaJuanicia Holmes; Roland A Matsouaka; Divya Gupta; Ty J Gluckman; Marwah Abdalla; Michelle A Albert; Clyde W Yancy; Tracy Y Wang
Journal:  Circulation       Date:  2020-11-17       Impact factor: 29.690

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