Literature DB >> 34279721

Understanding COVID-19 vaccine hesitancy and resistance: another challenge in cancer patients.

Nesrine Mejri1, Yosra Berrazega2, Emna Ouertani2, Haifa Rachdi2, Mariem Bohli3, Lotfi Kochbati3, Hamouda Boussen2,4.   

Abstract

INTRODUCTION: We aimed to measure the acceptability towards the COVID-19 vaccination in cancer patients and to investigate determinant factors associated with the patient's choice.
METHODS: We conducted a cross-sectional survey with a self-administered questionnaire delivered to 329 cancer patients in 3 oncology cancer centers in Tunisia between February-May 2021. Logistic regression was used to evaluate odds ratio predicting patient's intentions toward the vaccine.
RESULTS: Acceptance rate was 50.5%, 28.3% (n = 93) reported to definitely refuse the vaccine and 21.2% (n = 70) did not make their decision yet. High educational level, history of comorbidities, history of influenza vaccination in the current season, and patient's opinion about the severity of COVID-19 did not predict vaccine resistance. However, patients who think that the vaccine may interfere with treatment efficacy (OR = 7.28, 95%CI [2.5-12.32]), or may impact cancer outcome (OR = 6.14, 95%CI [2.27-16.7]), were significantly more likely to refuse the vaccine. Patients who disagree that the vaccine is a major weapon against the pandemic (OR = 6.07, 95%CI [2.34-9.52]) or that it could reduce the virus transmission (OR = 7.34, 95%CI [4.22-11.81]) were also significantly more likely to reject the vaccination. Safety concerns were also significant predictive factors (OR = 7.9, 95%CI [4.10-11.27]. Confidence level in the authorities played a significant role in patient's acceptance of the vaccine, indeed patients who are not registered (OR = 5.9, 95%CI [1.58-8.7]) or not informed about the Tunisian national vaccination platform EVAX (OR = 5.51, 95%CI [2.1-7.9]) were more likely to be against the vaccine.
CONCLUSION: Cancer patient's education about the impact of the vaccine on their disease and on the COVID-19 is needed. Governments should build strategies to gain more population confidence.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  COVID-19; Cancer; Hesitancy; Vaccination

Mesh:

Substances:

Year:  2021        PMID: 34279721      PMCID: PMC8286987          DOI: 10.1007/s00520-021-06419-y

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


Introduction

Coronavirus disease 2019 (COVID-19) pandemic impacted cancer patients in several ways leading to late diagnosis, limited access to required health care and impaired management [1]. Furthermore, patients with cancer were considered as a high-risk population with an increased risk of severe infections and an ~ 3.5-fold increase in the risk of needing mechanical ventilation or intensive care unit admission/death compared with patients without cancer [2, 3]. Currently, some advances toward a specific treatment have been made [4] but vaccination is considered to be the most awaiting intervention to stop the virus spread. Previous studies showed that patients with an active cancer should be considered for priority access to COVID-19 vaccination, along other particularly vulnerable populations with risk factors [5]. The Advisory Committee on Immunization Practices within the Centers for Disease Control and Prevention in the USA considered that patients with cancer should be one of the groups considered for early COVID-19 vaccination [6]. Limited supply of the vaccine is one of the major obstacles, but vaccine acceptancy is also considered by the Word Health Organization as one the top ten global health threats: high levels of hesitancy lead to low vaccine demand [7]. Vaccine acceptancy is context-specific and varies with geography, culture, and sociodemographic factors. It depends on public trust and confidence in the safety and efficacy of vaccines, the healthcare system, and professionals. Vaccine hesitancy and misinformation could put public health, for instance cancer patients, at risk in responding to the current crisis. The only previously published study on cancer patients was performed before the beginning of the vaccination campaigns, answers remained hypothetical since no vaccine have been approved yet (November 2020) [8], vaccine acceptance was rated at 53.7%. In order to understand patient’s perception and better prepare physician’s actions towards their patients regarding COVID-19 vaccination, we aimed to measure vaccine acceptability in cancer patients and to investigate determinant factors associated with patient’s choice.

Methods

We conducted a cross-sectional survey with an anonymous self-administered questionnaire delivered to every admitted ambulatory patient in 3 oncology cancer centers in north Tunisia from 1-Feb-2021 to 1-May-2021. Study participants gave informed consent to participate in the survey. Inclusion criteria were all cancer patients, > 18 years old, regardless of gender, disease type and stage, whether they were under active treatment or follow-up. Participants had to be able to read/understand Arabic and/or French and without impaired cognitive function. The study investigators also shared the web version (in Arabic and French) of the survey link in the most popular social media platform in Tunisia, Facebook. On receiving and clicking the link, participants got auto directed to the informed consent section, followed by the survey questionnaires. From the previous literature review of COVID-19 vaccine hesitancy in the community, it is estimated that about 30% of the study participants showed hesitancy towards accepting the vaccine. We estimated that a sample size of 323 should give us 80% power at a confidence level of 95%. The study was stopped when the sample size was reached. It started 6 weeks before the beginning of COVID-19 vaccination in Tunisia and has ended at week 7 since the vaccination initiation in Tunisia.

Questionnaire development

Based on a literature review, authors elaborated a bilingual (Arabic, French) questionnaire that was concerning three sections: the first was about patient’s demographic features, the second about willingness to take the vaccine, and the third about factors influencing their choice. In the third section, we used a validated survey instrument to measure vaccine acceptance among adults that grouped several independent variables published in 2018 [9]. We adapted several questions to the COVID-19 context (Supp1). Questions from the original questionnaire were translated into Arabic and French using the four-step methodology. Participants had to give their opinion using the 5-point Likert scale: 1 = strongly disagree to 5 = strongly agree. The study was approved by the local ethical committee. In Tunisia, vaccination started on March 19, 2021, the national vaccination platform is called EVAX (evax.tn); it organizes the vaccination process, registration, appointments, and vaccination confirmation. The questionnaire included items about EVAX.

Data analysis

Descriptive statistics (frequencies, percentage) were calculated and Ki2 test was conducted for comparisons. Multinomial logistic regression analysis was used to assess odds ratio (OR). OR evaluated the predictive factors of vaccine refusal/hesitancy considering acceptance as a reference. Nominal dependent variable with three categories representing intention to vaccinate: “Yes,” “Don’t know yet,” “No.” Independent variables from the questionnaire were analyzed as follows: patients who responded 1 or 2 were grouped as “disagree,” patients who responded 3 were considered as “don’t know or don’t have an opinion” and patients who responded 4 or 5 were grouped as “agree.” A two-tailed p-value < 0.05 was considered statistically significant.

Results

A total of 329 patients participated to the survey. Median age was 54 years old (SD = 13.4), 78.7% (n = 259) were female. Patients were married in 76.6% (n = 252), 39.2% (n = 129) had university educational level, 30.1% (n = 99) high school. Most patients (88.1%, n = 290) were from north cities of Tunisia. Medical history evaluation showed presence of other comorbidities besides cancer in 36.4% (n = 120). Fifty-nine percent of patients (n = 194) were undergoing chemotherapy and/or radiation therapy. Seventy-one percent of patients were treated in the public sector (n = 234). Only 16.1% (n = 53) received the Influenza Vaccine in the last year, 8% (n = 28) had the COVID-19 in the past months. Patients thought that COVID-19 is a severe disease in 78.1% (n = 257) and 14.9% (n = 49) have lost a loved one because of it. Cancer was considered more dangerous than COVID-19 by 34.3% (n = 113) of patients, 59% (n = 194) thought that COVID-19 is more severe in cancer patients. Forty-five point six percent of patients (n = 150) reported that the pandemic negatively affected their cancer care (Table 1).
Table 1

Patients characteristics according to vaccination choice

YesNoDon’t know yetP
Age (n = 329)55 (SD = 12.9)48 (SD = 13.2)49 (SD = 12.1)0.0001
Man (21.9%, n = 70)28.8% (n = 47)12.1% (n = 11)18.2% (n = 12)0.006
University educational level (39.2.1%, n = 129)46% (n = 69)46% (n = 40)32.2% (n = 20)0.23
Public sector (71.1%, n = 234)96.9% (n = 114)75.9% (n = 66)88.5% (n = 54)0.045
History of comorbidities (36.4%, n = 120)42.9% (n = 69)35.5 (n = 33)26.8% (n = 18)0.12
Treatment ongoing (58.9%, n = 194)62.4% (n = 98)56% (n = 51)71.4% (n = 45)
History of influenza vaccine in the last year (16.1%, n = 53)21.2% (n = 35)14.1%, (n = 13)8.3% (n = 5)0.053
History of COVID-19 (8.7%, n = 28)7.3% (n = 12)11.8% (n = 11)7.6% (n = 5)0.55
Not registered in EVAX (47.7%, n = 157)68% (n = 51.1)
Lost someone close from COVID-19 (14.8%, n = 48)16.9% (n = 28)10.8% (n = 10)15.2% (n = 10)0.73
Patients characteristics according to vaccination choice Twenty-four percent of patients (n = 79) were registered in the Tunisian vaccine platform (EVAX) and 28.2% (n = 93) did not know about it. All patients knew about the vaccine and 61.4% (n = 202) knew that there are many types of vaccines available. About half of the patients (53.8%, n = 175) reported having confidence in the government, and 77.5% having confidence in their physician. Among the respondents, 50.5% (n = 166) reported their intent to be vaccinated as soon as the vaccine was available, 28.3% (n = 93) reported to definitely refuse the vaccine, and 21.2% (n = 70) did not make their decision yet. In patients in favor of the vaccination, the reasons of their choice was to protect themselves and their families in 64.1% (n = 211), to protect everyone else in 43.1% (n = 142), and 37.3% (n = 123) would do it to get back to normal life, 35.2% (n = 116) did not give any reason. In patients who did not support the vaccination, 53.1% (n = 175) did not explain why, 33.1% (n = 109) would not take the vaccine because they fear side effects, 24.9% (n = 82) because they do not believe it is effective, and 3% (n = 10) because the COVID-19 is not such a severe disease that worth a vaccine. Seventy-one percent (n = 233) of patients agreed that they should keep the freedom to get vaccinated or not, and 31.6% (n = 104) agreed that it is legitimate for the government to mandate the vaccination. Patients agreed that the vaccine may affect the efficacy of anti-cancer therapy (15.5%, n = 51) while 57.4% (n = 189) did not know if it may have this affect. Patients agreed that it may affect the course of the cancer disease in 10.9% (n = 36), and 61.4% (n = 202) did not know if it could. Patients were asked about their opinion on several items and responded as follows according to the 5-point Likert scale: 39.5% (n = 130) agreed about the idea that the vaccine is not necessary because COVID-19 is not a severe disease. Forty-three percent (n = 144) of patients reported that not all vaccines were created equal and that they would prefer some types over others. Nineteen point seven percent (n = 65) agreed that the vaccine is not safe, and 40.7% (n = 134) did not know if it is safe or not, 10.5% (n = 32) agreed that the vaccine might change their DNA, and 28.5% (n = 94) agreed that it contains toxic ingredients. Thirty-three percent (n = 110) agreed that getting COVID-19 will not give a better immunity than that induced by the vaccine and 46.8% (n = 154) did not know what gives better immunity. Thirty-four point eight percent (n = 115) agreed that the vaccine will reduce the contagion but 42.2% (n = 139) did not know if it does. Fifty-two percent (n = 172) agreed that patients with cancer must have the priority to get the vaccine because it is an at-risk condition. Twenty percent (n = 68) agreed that the vaccine is necessary to end the pandemic. Thirty-eight percent (n = 127) reported preferring to receive the vaccine after the others to ensure its safety. Multinomial logistic regression was performed to evaluate predictive factors of vaccine resistance in cancer patients as shown in Fig. 1. High educational level, history of comorbidities, history of influenza vaccination, and patient’s opinion about the severity of COVID-19 did not predict vaccine resistance. However, patients who think that the vaccine may interfere with treatment efficacy (OR = 7.28, 95%CI [2.5–12.32]), or would impact cancer outcome (OR = 6.14, 95%CI [2.27–16.7]), were significantly more likely to refuse the vaccine. Patients who did not agree that the vaccine is a major weapon against the pandemic (OR = 6.07, 95%CI [2.34–9.52]) and that it could reduce the virus transmission (OR = 7.34, 95%CI [4.22–11.81]), and were also significantly more likely to reject the vaccination. Safety concerns were also predictive factors (Fig. 1). Confidence level in the authorities played a significant role is patients’ acceptance of the vaccine; indeed, patients not registered (OR = 5.9, 95%CI [1.58–8.7]) or not informed about the national vaccination platform EVAX (OR = 5.51, 95%CI [2.1–7.9]) were more likely to be against the vaccine.
Fig. 1

Odds ratio of factors associated with vaccine choice

Odds ratio of factors associated with vaccine choice

Discussion

The present study showed that COVID-19 vaccine acceptance in cancer patients was 50.5%, with a relatively high proportion of resistant patients (28.3%). Concerns about cancer outcome and vaccine safety were significant predictive factors of vaccine resistance. Patients who did not agree that the vaccine may help fight the pandemic/reduce the virus transmission and those with poor confidence in the healthcare system were also more likely to not support the vaccine. At the time of writing this paper, vaccination process is ongoing at different speeds around the world; some countries are very advanced, others are struggling [10]. One of the major challenges is vaccine acceptance especially with the important amount of misinformation on the Internet [11]. Cancer patients suffered from the pandemic that impacted several aspects of their disease management. When it comes to vaccine, patients and oncologists face a dilemma of prioritizing COVID-19 vaccination while vaccine supply is limited [5]. In a previous study, vaccine acceptance among French cancer patients was 53.7% [8]; we observed the same rate among Tunisian patients. These results could be considered lower than studies reporting vaccine acceptance among the general population ranging from 67 to 82% [12-15]. Several vaccine resistance factors reported in our study are already known from previous studies in the general population, such as age and gender [8], trust in government decisions [12], safety concerns. Conversely, we did not observe an impact of educational level [16], influenza vaccine history [8, 17], knowing people who died from COVID-19 [18], and perceiving COVID-19 as a threat to self [19]. In our population, patients who think that the vaccine may interact with the chemotherapy or impact cancer course were more likely to reject the vaccine. Furthermore, 48% of patients did not agree that cancer is an at-risk condition that gives patients priority of the vaccine. Oncologists need to communicate with their patients about these specific points; they should have an active attitude to educate patients during outpatient and inpatient consultations. Another new finding that came out from the present study was what patients think about the vaccine role in fighting the pandemic and in stopping virus transmission. Education remains a crucial way to “correct” these perceptions. Patients need trusted sources of information. In our population, 46.2% of patients did not have confidence in the government, and 77.5% had confidence in their physician. This leaves doctors with a big responsibility to give complete and clear information to their patients. Indeed, in Tunisia, health care authorities launched an online platform for vaccine registration www.evax.tn on February 5, 2021. When first launched, cancer patients were not considered among the priority population like those with diabetes, renal, or liver failure, age > 75 years old, and health care workers. The Tunisian society of medical oncology implemented efforts in order to include cancer patient’s along with other priority populations and obtained authorities approval [20, 21]. Governments must be ready to ensure large-scale, equitable access, and distribution of a COVID-19 vaccine, but also should work on communication strategies to gain more population confidence [22]. Some limitations of the present study could be highlighted: this is a cross-sectional study giving only a picture at the moment of the survey, but it is the only published study among cancer patients after the approval and initiation of the vaccination campaign. Male patients were underrepresented; this is a selection bias since breast cancer is the predominant malignancy in all participating centers. Authors used a self-administered questionnaire requiring reading skills, illiterate population was not included, and we expect a different acceptance rate among them; it is highly probable that specific actions need to be initiated in this particular population. In conclusion, the present study showed that 1 over two cancer patients was spontaneously willing to take COVID-19 vaccine, but there is a room for improvement toward decreasing vaccine hesitancy. Oncologists should focus on communicating on two major points with their patients: the impact of the vaccine on cancer/cancer treatment the role of the vaccine in fighting COVID-19. Below is the link to the electronic supplementary material. Supplementary file1 (PDF 73 KB) Adapted questionnaire
  19 in total

1.  Designing an Independent Public Health Agency.

Authors:  Jacqueline Salwa; Christopher Robertson
Journal:  N Engl J Med       Date:  2021-05-01       Impact factor: 91.245

2.  A survey instrument for measuring vaccine acceptance.

Authors:  Dilshani Sarathchandra; Mark C Navin; Mark A Largent; Aaron M McCright
Journal:  Prev Med       Date:  2018-01-11       Impact factor: 4.018

3.  Determinants of COVID-19 vaccine acceptance in the US.

Authors:  Amyn A Malik; SarahAnn M McFadden; Jad Elharake; Saad B Omer
Journal:  EClinicalMedicine       Date:  2020-08-12

Review 4.  The Impact of the COVID-19 Pandemic on Cancer Patients.

Authors:  Osama M Al-Quteimat; Amer Mustafa Amer
Journal:  Am J Clin Oncol       Date:  2020-06       Impact factor: 2.339

5.  The Advisory Committee on Immunization Practices' Interim Recommendation for Allocating Initial Supplies of COVID-19 Vaccine - United States, 2020.

Authors:  Kathleen Dooling; Nancy McClung; Mary Chamberland; Mona Marin; Megan Wallace; Beth P Bell; Grace M Lee; H Keipp Talbot; José R Romero; Sara E Oliver
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-12-11       Impact factor: 17.586

6.  Acceptance of SARS-CoV-2 vaccination among French patients with cancer: a cross-sectional survey.

Authors:  J Barrière; J Gal; B Hoch; O Cassuto; A Leysalle; E Chamorey; D Borchiellini
Journal:  Ann Oncol       Date:  2021-01-30       Impact factor: 32.976

7.  Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study.

Authors:  Elaine Robertson; Kelly S Reeve; Claire L Niedzwiedz; Jamie Moore; Margaret Blake; Michael Green; Srinivasa Vittal Katikireddi; Michaela J Benzeval
Journal:  Brain Behav Immun       Date:  2021-03-11       Impact factor: 19.227

8.  A global survey of potential acceptance of a COVID-19 vaccine.

Authors:  Jeffrey V Lazarus; Scott C Ratzan; Adam Palayew; Lawrence O Gostin; Heidi J Larson; Kenneth Rabin; Spencer Kimball; Ayman El-Mohandes
Journal:  Nat Med       Date:  2020-10-20       Impact factor: 53.440

9.  COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study.

Authors:  Lennard Y W Lee; Jean-Baptiste Cazier; Thomas Starkey; Sarah E W Briggs; Roland Arnold; Vartika Bisht; Stephen Booth; Naomi A Campton; Vinton W T Cheng; Graham Collins; Helen M Curley; Philip Earwaker; Matthew W Fittall; Spyridon Gennatas; Anshita Goel; Simon Hartley; Daniel J Hughes; David Kerr; Alvin J X Lee; Rebecca J Lee; Siow Ming Lee; Hayley Mckenzie; Chris P Middleton; Nirupa Murugaesu; Tom Newsom-Davis; Anna C Olsson-Brown; Claire Palles; Thomas Powles; Emily A Protheroe; Karin Purshouse; Archana Sharma-Oates; Shivan Sivakumar; Ashley J Smith; Oliver Topping; Chris D Turnbull; Csilla Várnai; Adam D M Briggs; Gary Middleton; Rachel Kerr
Journal:  Lancet Oncol       Date:  2020-08-24       Impact factor: 41.316

10.  COVID-19 Vaccine Hesitancy among French People Living with HIV.

Authors:  Alexandre Vallée; Erwan Fourn; Catherine Majerholc; Pauline Touche; David Zucman
Journal:  Vaccines (Basel)       Date:  2021-03-24
View more
  14 in total

Review 1.  Prevention of HBV Reactivation in Hemato-Oncologic Setting during COVID-19.

Authors:  Caterina Sagnelli; Antonello Sica; Massimiliano Creta; Alessandra Borsetti; Massimo Ciccozzi; Evangelista Sagnelli
Journal:  Pathogens       Date:  2022-05-11

2.  The intention to get COVID-19 vaccine and vaccine uptake among cancer patients: An extension of the theory of planned behaviour (TPB).

Authors:  Rocco Servidio; Antonio Malvaso; Deborah Vizza; Moira Valente; Maria Rosita Campagna; Melania Lo Iacono; Leslie R Martin; Francesco Bruno
Journal:  Support Care Cancer       Date:  2022-06-25       Impact factor: 3.359

3.  Cancer patients and COVID-19 vaccination, from safety to protocol adherence: A real-life setting report.

Authors:  Haitam Lamtai; Saber Boutayeb; Hind Mrabti; Ibrahim El Ghissassi; Hassan Errihani
Journal:  Front Oncol       Date:  2022-10-03       Impact factor: 5.738

4.  Outcomes of the SARS-CoV-2 omicron (B.1.1.529) variant outbreak among vaccinated and unvaccinated patients with cancer in Europe: results from the retrospective, multicentre, OnCovid registry study.

Authors:  David J Pinato; Juan Aguilar-Company; Daniela Ferrante; Georgina Hanbury; Mark Bower; Ramon Salazar; Oriol Mirallas; Anna Sureda; Andrea Plaja; Marc Cucurull; Ricard Mesia; Sarah Townsend; Amanda Jackson; Alessia Dalla Pria; Thomas Newsom-Davis; Jasmine Handford; Ailsa Sita-Lumsden; Eleanor Apthorp; Bruno Vincenzi; Alexia Bertuzzi; Joan Brunet; Matteo Lambertini; Clara Maluquer; Paolo Pedrazzoli; Federica Biello; Alasdair Sinclair; Samira Bawany; Saira Khalique; Sabrina Rossi; Lucy Rogers; Cian Murphy; Katherine Belessiotis; M Carmen Carmona-García; Rachel Sharkey; David García-Illescas; Gianpiero Rizzo; Marta Perachino; Nadia Saoudi-Gonzalez; Kris Doonga; Laura Fox; Elisa Roldán; Gianluca Gaidano; Isabel Ruiz-Camps; Riccardo Bruna; Andrea Patriarca; Clara Martinez-Vila; Luca Cantini; Alberto Zambelli; Raffaele Giusti; Francesca Mazzoni; Enrico Caliman; Armando Santoro; Federica Grosso; Alessandro Parisi; Paola Queirolo; Avinash Aujayeb; Lorenza Rimassa; Aleix Prat; Marco Tucci; Michela Libertini; Salvatore Grisanti; Uma Mukherjee; Nikolaos Diamantis; Vittorio Fusco; Daniele Generali; Salvatore Provenzano; Alessandra Gennari; Josep Tabernero; Alessio Cortellini
Journal:  Lancet Oncol       Date:  2022-06-02       Impact factor: 54.433

5.  A study on the willingness and influencing factors of novel coronavirus vaccination among medical personnel in North China.

Authors:  Jinqi Hao; Huimin Liu; Jihai Shi; Qiufeng Wang; Xiaoyou Su; Zhengyang Shi; Yanqin Yu; Bo Liu; Youlin Qiao
Journal:  Hum Vaccin Immunother       Date:  2022-04-04       Impact factor: 4.526

6.  COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey.

Authors:  Richard Tsai; John Hervey; Kathleen Hoffman; Jessica Wood; Jennifer Johnson; Dana Deighton; Donald Clermont; Brian Loew; Stuart L Goldberg
Journal:  JMIR Public Health Surveill       Date:  2022-01-05

7.  Attitudes toward a COVID-19 vaccine and vaccination status in cancer patients: a cross-sectional survey.

Authors:  Svenja Heyne; Peter Esser; Anne Werner; Antje Lehmann-Laue; Anja Mehnert-Theuerkauf
Journal:  J Cancer Res Clin Oncol       Date:  2022-02-26       Impact factor: 4.322

8.  Public acceptability of COVID-19 vaccines and its predictors in Middle ‎Eastern/North African (MENA) countries: a systematic review‎.

Authors:  Omid Dadras; SeyedAhmad SeyedAlinaghi; Amirali Karimi; Ahmadreza Shamsabadi; Sara Mahdiabadi; Parsa Mohammadi; Ava Amiri; Alireza Shojaei; Zahra Pashaei; Pegah Mirzapour; Kowsar Qaderi; Mehrzad MohsseniPour; Sanam Alilou; Esmaeil Mehraeen; Shayesteh Jahanfar
Journal:  Hum Vaccin Immunother       Date:  2022-03-23       Impact factor: 4.526

9.  COVID-19 vaccine uptake among family caregivers of people with dementia: The role of attitudes toward vaccination, perceived social support and personality traits.

Authors:  Francesco Bruno; Antonio Malvaso; Francesca Chiesi; Valentina Laganà; Rocco Servidio; Valeria Isella; Carlo Ferrarese; Federica Gottardi; Eloisa Stella; Federica Agosta; Massimo Filippi; Raffaele Di Lorenzo; Leslie R Martin; Amalia Cecilia Bruni; Raffaele Maletta
Journal:  Front Psychol       Date:  2022-07-15

Review 10.  COVID-19 vaccines in patients with cancer: immunogenicity, efficacy and safety.

Authors:  Annika Fendler; Elisabeth G E de Vries; Corine H GeurtsvanKessel; John B Haanen; Bernhard Wörmann; Samra Turajlic; Marie von Lilienfeld-Toal
Journal:  Nat Rev Clin Oncol       Date:  2022-03-11       Impact factor: 65.011

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.