Logo-hpp
2023: Two-year Impact Factor: 2.4
Scopus Journal Metrics
CiteScore (2023):7.1
 
Platinum
Open Access

Health Promotion Perspectives. 11(2):171-178. doi: 10.34172/hpp.2021.21

Original Article

Peoples’ attitude toward COVID-19 vaccine, acceptance, and social trust among African and Middle East countries

Nasim Asadi Faezi 1#ORCID logo, Pourya Gholizadeh 2#ORCID logo, Moussa Sanogo 3ORCID logo, Amadou Oumarou 4ORCID logo, Maad Nasser Mohamed 5ORCID logo, Yacouba Cissoko 6ORCID logo, Mamadou Saliou Sow 7ORCID logo, Bakary Sayon Keita 8ORCID logo, Youssouf AG Mohamed Baye 6, 8, Pasquale Pagliano 9ORCID logo, Patassi Akouda 10, Sid'Ahmed Soufiane 11ORCID logo, Akory Ag Iknane 6, 12ORCID logo, Mamadou Oury Safiatou Diallo 7, Zakaria Gansane 13, Barkat Ali Khan 14ORCID logo, Şükran Köse 15ORCID logo, Hamid Allahverdipour 16ORCID logo, Khudaverdi Ganvarov 17ORCID logo, Mariam Soumaré 6, Mohammad Asgharzadeh 2ORCID logo, Sounkalo Dao 6, *ORCID logo, Hossein Samadi Kafil 2, *ORCID logo
1Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran
2Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
3Faculty of Pharmacy USTTB, Faculty of Medicine and Odonto Stomatology, University of Science, Technics and Technology of Bamako, Bamako, Mali
4Faculte des sciences la santé de l universite Dan Dicko DanKoulodo de Maradi, Niger
5Service des maladies infectieuses et tropicales de l’hôpital général peltier, Djibouti
6Faculty of Medicine and Odonto Stomatology (FMOS), USTTB, University of Science, Technics and Technology of Bamako, Bamako, Mali
7Service des Maladies Infectieuses, Hôpital National Donka, CHU Conakry, Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Guinea
8Department of Medicine and Medical Specialities/Infectious Disease Unit of Fousseyni Daou Hospital, Kayes, Mali
9Departement of Medicine, University of Salerno, Salerno, Italy
10CHU Sylvanus Olympio, Universitie delome, Togo
11Faculte de Medecine de Nouakchott, Muritanie
12Institut National de Santé Publique, Bamako, Mali
13Burkinabé Observatory for Healthcare Quality and Safety, Ouagadougou, Burkina Faso
14Department of Pharmaceutics, Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan
15Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Tepecik Training and Research Hospital, İzmir, Turkey
16Research Center of Psychiatry and Behavioural Sciences and Department of Health Education and Promotion, Tabriz University of Medical Sciences, Tabriz, Iran
17Department of Microbiology, Baku State University, Baku, Azerbaijan
*Corresponding Author: Hossein Samadi Kafil, Email: Kafilhs@tbzmed.ac.ir Sounkalo Dao, Email: sounkalod@icermali.org #First and second authors had equal participation in this study.

Abstract

Background: To end the COVID-19 pandemic, a large part of the world must be immune to the virus by vaccination. Therefore, this study aimed to gauge intent to be vaccinated against COVID-19 among ordinary people and to identify attitudes towards vaccines and barriers for vaccine acceptance.

Methods: The study population comprises 1880 people residing in different countries that answer a prepared questionnaire. The questionnaire topics are demographics, historical issues, participants’ attitudes and beliefs regarding vaccines, concerns, and vaccine hesitancy.

Results: Attitudes and beliefs relating to vaccines in general, and the COVID-19 vaccine, were ascertained. Overall, 66.81% of the contributors would like to be vaccinated against COVID-19, while %33.19 did not intend to be vaccinated. Reasons for COVID-19 vaccine hesitancy included concern regarding vaccine side effects, fear of getting sick from the uptake of the vaccine, and the absence of accurate vaccine promotion news. Individuals with higher education believe that India (68.6%) produces the best vaccine (P <0.001), while healthcare workers think the Chinese vaccine (44.2%) is the best (P =0.020). Individuals with higher education have not been vaccinated, not be healthcare workers, and females were the most contributors to effective of the vaccine in reducing mortality from COVID-19 disease.

Conclusion: Given the degree of hesitancy against COVID-19 vaccination, a multifaceted approach to facilitate vaccine uptake that includes vaccine education, behavioral change strategies, and health promotion, is paramount.

Keywords: COVID-19, SARS-CoV-2, Surveys and Questionnaires, Vaccination

Copyright

© 2021 The Author(s).
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Introduction

COVID-19, a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread worldwide and has been declared a pandemic with more than 130 million infected and 3 million related deaths. 1-3 Numerous clinical trials have been conducted to investigate potential treatments for COVID-19. To bring this pandemic to an end, a large part of the world must be immune to the virus. 4 The safest way to achieve this is to use a vaccine. 5,6 The COVID-19 pandemic has led to tremendous advances in vaccine production at an extraordinary scale, and the LSHTM VaC (London School of Hygiene & Tropical Medicine Vaccine) tracker provides a clear testimony of this progress. COVID-19 vaccine production was much faster than other vaccines. In less than a year, several vaccines have been declared successful and approved for use in some countries. 7 However, over the past few decades, the anti-vaccine or anti-vaccination movement has taken root in Europe and the United States. 8,9 The anti-vaccine movement, which encourages vaccine skepticism, has emerged as a major public health problem, topping the list of global health threats. 10 Immediately after the announcement of COVID-19 as a pandemic, countless conspiracy theories were shared on social media. 11-13 According to the Strategic Advisory Group of experts on Immunization (SAGE), vaccine hesitancy is a term used to describe delays in accepting or refusing vaccination despite the availability of vaccination services. 14 Factors that affect attitudes toward vaccination acceptance include satisfaction, convenience, and reliability. 14,15 Complacency indicates a low understanding of the disease risk; hence, vaccination was considered unnecessary. Confidence refers to trust in vaccine safety, effectiveness, as well as the competence of health care systems. Convenience involves the availability, cost-effectiveness and delivery of vaccines in a comfortable condition. 15 The complex nature of vaccine-induced motivations can be analyzed using the epidemiologic triad of environmental, causative, and host factors. 16,17 Environmental factors include public health policies, social factors, and media messages. 18-20 The agent factors (vaccine and disease) in addition to perceived susceptibility to disease include understanding the safety and efficacy of the vaccine. 19,21,22 Host factors also depend on knowledge, previous experience, levels of education and income. 17,23 Previous studies have shown that vaccine hesitancy is a common phenomenon worldwide with a variety of reasons behind refusing to be vaccinated. 24-26 The most important reasons include perceived risks compared to benefits, some religious beliefs and lack of knowledge and awareness. 27-29 As recent studies have shown, there is a strong association between the intention to receive coronavirus vaccines and perceived safety, 30 a negative attitude toward vaccines and a reluctance to receive vaccines, 31 and a link between religiosity and less willingness to receive COVID-19 vaccines. 32 The above reasons can be applied in case of COVID-19 vaccine hesitancy. Studying the global impact of hesitancy on the COVID-19 vaccine - including the willingness to accept the COVID-19 vaccines - can be complex due to the multifaceted nature of the phenomenon. 14 This requires cognitive, psychological, socio-demographic and cultural factors that contribute to vaccine hesitancy. 33-35 Following an assessment of the scope and extent of the public health threat, an analysis of such factors is needed to address COVID-19 vaccine hesitancy. 36 This can help guide intervention measures to establish and maintain a response to tackle this threat. 37 Previous studies evaluating attitudes toward vaccines have shown regional diversity in understanding the safety and effectiveness of vaccinations. 25,38,39 Despite many efforts to obtain successful COVID-19 vaccines, a major obstacle could be the vaccine’s hesitancy about approved and possible COVID-19 vaccinations. 40 Therefore, the aim of this study was to gauge intent to be vaccinated against COVID-19 among ordinary people, and to identify attitudes towards vaccines and barriers for vaccine acceptance.


Materials and Methods

Participants and study administration

This study was a cross-sectional study conducted with institutionalized and non-institutionalized people contacted by the authors in social media. Therefore, the inclusion criteria were the people interested in answering the questionnaire and filled the form totally and correctly. In addition, we did not have a specific grouping for the participation of individuals, and various people have entered the study. The exclusion criteria were the double-filled forms. The study population comprises 1880 people residing in different countries, with different ages, who have been vaccinated or not with the COVID-19 vaccine. For preparing the questionnaire, questions were designed based on the research background, review of articles, and interviews with 20 microbiologists and infectious specialists of Tabriz University of Medical Sciences, and 25 questions were finally approved. The answer options were “Yes,” or “No,” Patients who stated “No” were prompted to indicate a reason.

The content validity ratio (CVR) was measured by asking questions of “Essential”, “Useful but not essential,” and “Not necessary” for each item of the questionnaire. The minimum value of CVR for each question was considered as 0.42 according to Lawshe’s study. 41 The content validity index (CVI) for the whole questionnaire was calculated. The CVR of the questionnaire was adjusted at 0.79, which was accepted for questionnaire. 41 The reliability was measured by Cronbach’s alpha, which was adjusted at 0.8.

A questionnaire was prepared by Google Doc (https://docs.google.com) in 5 different languages, including Persian, English, French, Arabic, and Istanbul. The questionnaire was distributed to different people from other countries via email or social media from February 15, 2021, through April 15, 2021. Participants finally registered their answers by clicking the submit button.

Measures

Survey items are included:

Demographics of gender, age, country of residence, members of the health care system, and education were assessed.

Historical issues:

Participants were asked about their background disease and history of COVID-19 disease and asked about their history of vaccination against COVID-19 disease.

Participants’ attitudes and beliefs regarding vaccines:

Participants were asked about the impact of vaccination on recent epidemic control and reducing mortality and the country that produces the vaccine that works best.

Concerns:

Participants were asked about their concern for the early preparation of the vaccine in terms of safety.

Vaccine Hesitancy:

Participants were asked about their willingness to be vaccinated against the COVID-19 vaccine and asked their reasons for not getting the COVID-19 vaccine.

Statistical analysis

IBM SPSS Statistics software, version 20.0 (IBM SPSS Statistics corp., Armonk, USA) and GraphPad Prism, version 8.0 (GraphPad Software, Inc., San Diego, California USA) was used for statistical analysis. Continuous covariates were summarized by mean (±SD), and categorical covariates were summarized by count (%). Categorical covariates were compared between the “Yes” and “No/Unsure” COVID-19 Vaccine groups using Chi-square or Fisher exact tests. In addition, Spearman’s rank correlation coefficient was calculated for correlation of categorical covariates. Significance was set at alpha= 0.05.


Results

Participant’s demographics

The total number of participants in this study was 1880 individuals who were contributed from 42 different countries. One unique individual filled all questionnaires. The range of individuals contributed from different countries was 1 to 1126, and the most frequent contributors were from Iran (1126 individuals, 59.89%), followed by Turkey (211 individuals, 11.22%), Mali (160 individuals, 8.51%), and Lebanon (117 individuals, 6.22%). The range of participants from each country is shown in the following map (). The age range of contributors was from under 20 years old to over 60 years old, of which 54.15% were female, and 45.85% were male. The education level of contributors was from high school until Doctorate. The frequency of answers to the desired questions is shown in Table 1.

hpp-11-171-g001
Figure 1. The range of participants from each country.

Table 1. Patient’s characteristics and survey items
Frequency Percent
Gender
Female101854.15
Male86245.85
Age
Under 201055.59
20-40116762.07
40-6052427.87
Over 60844.47
Education level
High school955.05
Diploma23112.29
Bachelor50626.91
MSc52928.14
Doctorate51927.61
Have you ever been affected by COVID-19?
Yes40821.70
No117062.23
Maybe30216.06
Do you have any background disease?
Yes24412.98
No163687.02
Do you want to be vaccinated against the COVID-19 disease?
Yes125666.81
No62433.19
Have you been vaccinated against COVID-19 disease?
Yes1156.12
No176593.88
Do you think that vaccination can help to control the recent epidemic?
Yes112359.73
No995.27
Maybe65835.00
Which country do you think produces the best vaccine?
USA68236.28
UK1477.82
Europe23412.45
Russia1869.89
China19910.59
Cuba231.22
South Korea150.80
India160.85
Iran19810.53
Missing1809.57
Do you work in the health care system of the country?
Yes66735.48
No121364.52
Do you think that vaccination is effective in reducing mortality from COVID-19 disease?
Yes122465.11
No854.52
Maybe57130.37
Do reports of post-vaccination mortality cause you more concern? 
Yes116161.76
No71938.24
Are you worried about the early preparation of the vaccine in terms of its safety?
Yes113560.37
No74539.63
Do you want to be vaccinated voluntarily before the vaccine is approved for mass production? (Human phase of vaccine production)
Yes28915.37
No159184.63
In your opinion, who should be vaccinated first? 
Elderly people31616.81
Medical staff103054.79
Young people432.29
Children221.17
Poor people261.38
No difference35718.99
Missing864.57
Do you agree with the universal vaccination against COVID-19 disease?
Yes154982.39
No33117.61
Do you believe in rumors such as changes in the human genome by vaccines?
Yes51927.61
No136172.39
Are you worried about the side effects of the Corona vaccine?
Yes133571.01
No54528.99
Do you believe in traditional therapies more than modern ones?
Yes43122.93
No144977.07
Would you like to do this if you had to pay to get the vaccine?
Yes114660.96
No73439.04
Is WHO approval essential for you in choosing the type of vaccine?
Yes157283.62
No30816.38
Has anyone in your family been diagnosed with COVID-19 disease?
Yes92949.41
No93649.79
Missing150.80
Have you lost any of your family members due to COVID-19 disease? 
Yes24412.98
No163687.02

Historical issues of participants

Overall, the contributors affected by COVID-19 disease were 21.70%, and vaccinated against COVID-19 were 6.12%. The contributors carried any background disease were 12.98%. In addition, 35.48% of the contributors work in their country’s healthcare system, which 25.33% of them have been affected by COVID-19, and 13.49% of them have been vaccinated against COVID-19 disease. Furthermore, 66.81% of the contributors would like to be immunized against COVID-19. The ages 20-40 years old were the most affected by COVID-19 (60.8%, P = 0.010) and the most of the individual affected was not vaccinated against COVID-19 (94.1%, P = 0.001). The ages 40-60 years were the most individuals who have any background diseases (49.2%, P < 0.001), of which 86.1% of the individuals have not been vaccinated (P < 0.001). Furthermore, the ages 20-60 years (86.9%, P < 0.001) and with higher education level (MSc. and doctorate; 63.5%, P = 0.016) were the most contributors that have been vaccinated, and individuals with background diseases were the lowest (29.6%, P< 0.001). Individuals between the ages of 20-40 years old have not been vaccinated with a higher education level.

Participants’ attitudes and beliefsregarding vaccines

Females and individuals who have not been affected by COVID-19 were the most contributors that think vaccination can help control the recent epidemic (P < 0.05). Individuals with higher education believe that India (68.6%), USA (62.4%), UK (57.9%) and Europe (56.9%) produce the best vaccine (P < 0.001), while health-care workers think China (44.2%), India (43.8%), Russia (43.5%) and Cuba (34.8%) (P =0.020). Individuals with higher education have not been vaccinated, not be healthcare workers, and females were the most contributors to effective of the vaccine in reducing mortality from COVID-19 disease.

Concerns and vaccine hesitancy of participants

Individuals with the ages 20-60 (91.3%, P = 0.002) have not been vaccinated (96%, P < 0.001), and females (56.6%, P = 0.007) were more concerned about the reports of post-vaccination mortality. In addition, individuals with ages of 20-60 years old (89.9%, P = 0.018) and who have not been vaccinated (94.8%, P = 0.040) were worried about the early preparation of the vaccine in terms of its safety. Most of the males (60.9%, P < 0.001), individuals with the ages 20-60 (86.5, P = 0.026), without background diseases (79.2%, P < 0.001) and have not been vaccinated (85.1%, P < 0.001) were wanted to be vaccinated voluntarily before approval of the vaccine. All the contributors were agreed that medical staff has to be vaccinated first (57.4%), followed by older people (17.6%), young people (2.4%), and children (1.2%). Individuals with high-level educations (54.55%, P = 0.010), who have not been affected (62%, P = 0.031), and have not been vaccinated (92.7%, P < 0.001) were agreed with the universal vaccination. Individuals with high-level educations (52.2%, P = 0.002), have not been affected (57.2%, P = 0.021), have any background disease (83.6%, P = 0.007), and have not been vaccinated (96.7%, P = 0.001) were believed rumors such as changes in the human genome in the vaccine. Females (56.5%, P = 0.002) and individuals that have not been vaccinated (97.3%, P < 0.001) were worried about the side effects of vaccines. Individuals with a high level of education (46.2%, P < 0.001), have not no background disease (84%, P = 0.033), and do not work in the healthcare system (71%, P = 0.001) were believed in traditional therapies more than modern ones. Individuals with the ages 20-60 years old (89.3%, P = 0.052), with high education levels (57.7%, P = 0.049), and who have not been vaccinated (91.8%, P < 0.001) would like to pay to get the vaccine. For all the individuals in any group properties, WHO approval was not crucial for choosing the type of vaccine except females (56.2%, P < 0.001). Females (57.5%, P = 0.008), individuals have been affected (46.5%, P < 0.001), have any background disease (85.4%, P = 0.008) has anyone in their family been diagnosed with COVID-19 disease. Individuals with the ages 40-60 years old (85.6%, P < 0.001), have not been affected (49.2%, P < 0.001) and with any background disease (80.7%, P = 0.002) have lost any of their family members due to COVID-19 disease. shows the correlation between different participant’s answers to the questions.

hpp-11-171-g002
Figure 2. The correlation between different participant’s responses to the survey items.


Discussion

In the context of the current COVID-19 crisis, this study evaluates the intention to receive the COVID-19 vaccine in a diverse sample of individuals. Our study sample is ethnically more diverse than previous studies. Over 1880 people from 42 different countries participated in this study, which is critical to addressing ethnic differences in the prevalence, morbidity, and mortality of COVID-19. Approximately one-third (33%) of our participants were hesitant to receive the COVID-19 vaccine, and the majority (67%) intended to receive the COVID-19 vaccine. Our study was conducted from February through April 2021, when the incidences of COVID-19 and mortality rates were high in most parts of the world and at the dawn of vaccine distribution.

Various studies evaluating people’s attitudes toward the COVID-19 vaccine before vaccine distribution have reported different findings compared to our present study. However, in our study, the opinions of people from different countries were also variant. A United States poll found that only 33% of respondents were optimistic about receiving the COVID-19 vaccine. Similarly, a cross-sectional survey of 991 participants in the United States in 2020 reported that only half of the participants intended to be vaccinated against COVID-19. 42 The results of these studies may differ from our study, as participants in previous studies are often from American countries. In addition, these studies were conducted in 2020 when the COVID-19 vaccine was hypothetical and fewer studies had been done on vaccination.

Similarly, early findings of vaccination intent may not reflect current vaccination intent. Compared to the United States, variable results have been reported in other countries. In a national survey of 3541 participants in China, 28.7% of people had a definite desire and 54.6% of a possible desire to be vaccinated. 43 Our study shows significant degrees of vaccine safety compared to these international studies, as most people (67%) intend to receive the COVID-19 vaccine. These very different reported intentions for vaccination are probably due to differences in beliefs and social factors by the nation. For example, participants, primarily African Americans, experienced a history of medical distrust due to racial discrimination and were less likely to be vaccinated against COVID-19.

It is critical to Identify factors associated with vaccination hesitancy, enabling health professionals to develop strategic approaches to vaccine education among patients, predominantly ethnic minority patients who suffer from a disproportionate burden of COVID-19 related morbidity and mortality. Our data reported the statistical trend of financially resilient Africans who may be less likely to receive the vaccine, indicating that efforts to alleviate vaccine hesitancy should be focused on African countries.

The most common reason given by participants for avoiding COVID-19 vaccination is uncertainty and mistrust about the vaccine produced, which is dissimilar with previous vaccination studies. 44,45 Increasing the level of transparency about vaccine safety may be an effective strategy to increase the acceptance of public vaccination against COVID-19.

The second most common reason for refusing the COVID-19 vaccine concerns the side effects of the vaccine, which can be promoted by increasing clinical studies and further studies on short-term and long-term side effects. Countries that have more confidence in the accuracy of side effects reports are more likely to get vaccinated. For instance, in a recent study, Turkish indigenous people who are more confident in their country are less reluctant to receive the vaccine. Contrary to the results of a recent study, the second reason for avoiding vaccination in other studies was the lack of recommendation from a trusted physician for vaccination. 46 In another study, most respondents (85%) identified their physician as a reliable source of information about COVID-19 vaccination.

The third most common reason for hesitancy about vaccination is the early preparation of the COVID-19 vaccine, which is not approved in some cases. Significant researches have shown that public concerns about the safety profile of vaccines and vaccine side effects are among the essential variables influencing vaccination decisions, especially for newly developed vaccines. 47-49 For instance, in a telephone-based interview (1155 people), approximately 13% of participants reported intentions to delay vaccination until further confirmation of side effects in others, while 17% stated that they did not intend to vaccinate. 50 In another large study, 59% of participants intended to delay vaccination because of concerns about side effects and safety profile.

Acknowledging the reasons for avoiding vaccination provided by the laypersons, in addition to assessing health literacy and vaccination literacy of laypersons, is essential for adopting highly informative, effective vaccine campaigns and emphasizing public insurance in vaccine safety.

Our study also has its limitations. First, we used a convenience sample, so the results may not fully reflect the general attitudes of the study population. Second, the sample size and diversity of the countries participating in our study may not be underpowered. However, significant results and statistical trends show that the sample size was adequate. The strength of this study is that the timing of the survey corresponds to the peak time of the pandemic. In addition, we surveyed individuals about the intention to vaccinate when vaccines are emergently authorized and prepared to distribute to frontline healthcare workers, which is particularly relevant to the findings. Furthermore, the demographic composition of our survey team is diverse. Given the disproportionate burden of COVID-19 in minorities and underserved populations, our results may be particularly useful in informing vaccination enhancement strategies in these target communities.


Acknowledgments

We thank all participants and people who helped us to distribute questioners and collecting data.


Funding

This study was supported by Tabriz University of Medical Sciences with Grant number 67235.


Competing interests

Hamid Allahverdipouris Editor-in-Chief of Health Promotion Perspectives. Other authors declare no competing interests.


Ethical approval

This study was approved by the local ethic committee with registration number IR.TBZMED.REC.1399.1071. Participation in the study was voluntary, and all data were collected according to the Helsinki declaration. All information of the participants is confidential and cannot be provided for any other commercial or scientific use.


Authors’ contributions

All authors had participation in data collection, data analysis, manuscript preparation and final proof of the manuscript. First and second authors had equal participation in this study.


References

  1. Fathizadeh H, Taghizadeh S, Safari R, Shabestari Khiabani S, Babak B, Hamzavi F. Study presence of COVID-19 (SARS-CoV-2) in the sweat of patients infected with Covid-19. Microb Pathog 2020; 149:104556. doi: 10.1016/j.micpath.2020.104556 [Crossref]
  2. Khodadadi E, Maroufi P, Khodadadi E, Esposito I, Ganbarov K, Espsoito S. Study of combining virtual screening and antiviral treatments of the Sars-CoV-2 (Covid-19). Microb Pathog 2020; 146:104241. doi: 10.1016/j.micpath.2020.104241 [Crossref]
  3. Asghari Ozma M, Maroufi P, Khodadadi E, Köse Ş, Esposito I, Ganbarov K. Clinical manifestation, diagnosis, prevention and control of SARS-CoV-2 (COVID-19) during the outbreak period. Infez Med 2020; 28(2):153-65.
  4. Alihosseini S, Ebrahimzadeh Leylabadlo H, Parsaei M, Sarafraz N, Ghanbarov K, Esposito S, et al. Current drugs with potential for coronavirus disease 2019 therapy: a literature review. Rev Med Microbiol 2020; In Press. 10.1097/mrm.0000000000000258
  5. Ng WH, Liu X, Mahalingam S. Development of vaccines for SARS-CoV-2. F1000Res 2020;9. 10.12688/f1000research.25998.1
  6. Gholizadeh P, Sanogo M, Oumarou A, Mohamed MN, Cissoko Y, Saliou Sow M. Fighting COVID-19 in the West Africa after experiencing the Ebola epidemic. Health Promot Perspect 2021; 11(1):5-11. doi: 10.34172/hpp.2021.02 [Crossref]
  7. Shrotri M, Swinnen T, Kampmann B, Parker EPK. An interactive website tracking COVID-19 vaccine development. Lancet Glob Health 2021; 9(5):e590-e2. doi: 10.1016/s2214-109x(21)00043-7 [Crossref]
  8. Larson HJ. Blocking information on COVID-19 can fuel the spread of misinformation. Nature 2020; 580(7803):306. doi: 10.1038/d41586-020-00920-w [Crossref]
  9. Mayer M, Till JE. The Internet: a modern Pandora’s box?. Qual Life Res 1996; 5(6):568-71. doi: 10.1007/bf00439230 [Crossref]
  10. Thangaraju P, Venkatesan S. WHO ten threats to global health in 2019: antimicrobial resistance. Cukurova Med J 2019; 44(3):1150-1. doi: 10.17826/cumj.514157 [Crossref]
  11. Zadrozny B, Edwards E. Anti-Vaccine Groups Take Dangerous Online Harassment into the Real World. NBC News; 2019.
  12. Puri N, Coomes EA, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Hum Vaccin Immunother 2020; 16(11):2586-93. doi: 10.1080/21645515.2020.1780846 [Crossref]
  13. Depoux A, Martin S, Karafillakis E, Preet R, Wilder-Smith A, Larson H. The pandemic of social media panic travels faster than the COVID-19 outbreak. J Travel Med 2020; 27(3):taaa031. doi: 10.1093/jtm/taaa031 [Crossref]
  14. MacDonald NE. Vaccine hesitancy: definition, scope and determinants. Vaccine 2015; 33(34):4161-4. doi: 10.1016/j.vaccine.2015.04.036 [Crossref]
  15. World Health Organization (WHO). Report of the SAGE Working Group on Vaccine Hesitancy. WHO; 2014.
  16. Gowda C, Dempsey AF. The rise (and fall?) of parental vaccine hesitancy. Hum Vaccin Immunother 2013; 9(8):1755-62. doi: 10.4161/hv.25085 [Crossref]
  17. Kumar D, Chandra R, Mathur M, Samdariya S, Kapoor N. Vaccine hesitancy: understanding better to address better. Isr J Health Policy Res 2016; 5:2. doi: 10.1186/s13584-016-0062-y [Crossref]
  18. Daley MF, Narwaney KJ, Shoup JA, Wagner NM, Glanz JM. Addressing parents’ vaccine concerns: a randomized trial of a social media intervention. Am J Prev Med 2018; 55(1):44-54. doi: 10.1016/j.amepre.2018.04.010 [Crossref]
  19. Dubé E, Vivion M, MacDonald NE. Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications. Expert Rev Vaccines 2015; 14(1):99-117. doi: 10.1586/14760584.2015.964212 [Crossref]
  20. Najafi K, Maroufi P, Khodadadi E, Zeinalzadeh E, Ganbarov K, Asgharzadeh M, et al. SARS-CoV-2 receptor ACE2 and molecular pathway to enter target cells during infection. Rev Med Microbiol 2020; In Press. 10.1097/mrm.0000000000000237
  21. Salmon DA, Dudley MZ, Glanz JM, Omer SB. Vaccine hesitancy: causes, consequences, and a call to action. Vaccine 2015; 33 Suppl 4:D66-71. doi: 10.1016/j.vaccine.2015.09.035 [Crossref]
  22. Larson HJ, Cooper LZ, Eskola J, Katz SL, Ratzan S. Addressing the vaccine confidence gap. Lancet 2011; 378(9790):526-35. doi: 10.1016/s0140-6736(11)60678-8 [Crossref]
  23. Olson O, Berry C, Kumar N. Addressing parental vaccine hesitancy towards childhood vaccines in the United States: a systematic literature review of communication interventions and strategies. Vaccines (Basel) 2020;8(4). 10.3390/vaccines8040590
  24. Lane S, MacDonald NE, Marti M, Dumolard L. Vaccine hesitancy around the globe: analysis of three years of WHO/UNICEF joint reporting form data-2015-2017. Vaccine 2018; 36(26):3861-7. doi: 10.1016/j.vaccine.2018.03.063 [Crossref]
  25. Wagner AL, Masters NB, Domek GJ, Mathew JL, Sun X, Asturias EJ. Comparisons of vaccine hesitancy across five low- and middle-income countries. Vaccines (Basel) 2019; 7(4):155. doi: 10.3390/vaccines7040155 [Crossref]
  26. Vaccine hesitancy: a generation at risk. Lancet Child Adolesc Health 2019;3(5):281. 10.1016/s2352-4642(19)30092-6.
  27. Karafillakis E, Larson HJ. The benefit of the doubt or doubts over benefits? a systematic literature review of perceived risks of vaccines in European populations. Vaccine 2017; 35(37):4840-50. doi: 10.1016/j.vaccine.2017.07.061 [Crossref]
  28. Pelčić G, Karačić S, Mikirtichan GL, Kubar OI, Leavitt FJ, Cheng-Tek Tai M. Religious exception for vaccination or religious excuses for avoiding vaccination. Croat Med J 2016; 57(5):516-21. doi: 10.3325/cmj.2016.57.516 [Crossref]
  29. Yaqub O, Castle-Clarke S, Sevdalis N, Chataway J. Attitudes to vaccination: a critical review. Soc Sci Med 2014; 112:1-11. doi: 10.1016/j.socscimed.2014.04.018 [Crossref]
  30. Karlsson LC, Soveri A, Lewandowsky S, Karlsson L, Karlsson H, Nolvi S. Fearing the disease or the vaccine: the case of COVID-19. Pers Individ Dif 2021; 172:110590. doi: 10.1016/j.paid.2020.110590 [Crossref]
  31. Paul E, Steptoe A, Fancourt D. Attitudes towards vaccines and intention to vaccinate against COVID-19: implications for public health communications. Lancet Reg Health Eur 2021; 1:100012. doi: 10.1016/j.lanepe.2020.100012 [Crossref]
  32. Olagoke AA, Olagoke OO, Hughes AM. Intention to vaccinate against the novel 2019 coronavirus disease: the role of health locus of control and religiosity. J Relig Health 2021; 60(1):65-80. doi: 10.1007/s10943-020-01090-9 [Crossref]
  33. Murphy J, Vallières F, Bentall RP, Shevlin M, McBride O, Hartman TK. Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom. Nat Commun 2021; 12(1):29. doi: 10.1038/s41467-020-20226-9 [Crossref]
  34. Pomares TD, Buttenheim AM, Amin AB, Joyce CM, Porter RM, Bednarczyk RA. Association of cognitive biases with human papillomavirus vaccine hesitancy: a cross-sectional study. Hum Vaccin Immunother 2020; 16(5):1018-23. doi: 10.1080/21645515.2019.1698243 [Crossref]
  35. Browne M, Thomson P, Rockloff MJ, Pennycook G. Going against the herd: psychological and cultural factors underlying the ‘vaccination confidence gap’. PLoS One 2015; 10(9):e0132562. doi: 10.1371/journal.pone.0132562 [Crossref]
  36. Lin C, Tu P, Beitsch LM. Confidence and receptivity for COVID-19 vaccines: a rapid systematic review. Vaccines (Basel) 2020; 9(1):16. doi: 10.3390/vaccines9010016 [Crossref]
  37. de Figueiredo A, Simas C, Karafillakis E, Paterson P, Larson HJ. Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study. Lancet 2020; 396(10255):898-908. doi: 10.1016/s0140-6736(20)31558-0 [Crossref]
  38. Wellcome Trust. Wellcome Global Monitor: How Does the World Feel About Science and Health. Wellcome Trust; 2019.
  39. Larson HJ, de Figueiredo A, Xiahong Z, Schulz WS, Verger P, Johnston IG. The state of vaccine confidence 2016: global insights through a 67-country survey. EBioMedicine 2016; 12:295-301. doi: 10.1016/j.ebiom.2016.08.042 [Crossref]
  40. Harrison EA, Wu JW. Vaccine confidence in the time of COVID-19. Eur J Epidemiol 2020; 35(4):325-30. doi: 10.1007/s10654-020-00634-3 [Crossref]
  41. Lawshe CH. A quantitative approach to content validity. Pers Psychol 1975; 28(4):563-75. doi: 10.1111/j.1744-6570.1975.tb01393.x [Crossref]
  42. 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. Ann Intern Med 2020; 173(12):964-73. doi: 10.7326/m20-3569 [Crossref]
  43. Lin Y, Hu Z, Zhao Q, Alias H, Danaee M, Wong LP. Understanding COVID-19 vaccine demand and hesitancy: a nationwide online survey in China. PLoS Negl Trop Dis 2020; 14(12):e0008961. doi: 10.1371/journal.pntd.0008961 [Crossref]
  44. Burgess K, Atkinson KM, Westeinde J, Crowcroft N, Deeks SL, Wilson K. Health communication science digest. Health Communication 2017; 8(9e):1-3.
  45. Egede LE, Zheng D. Racial/ethnic differences in influenza vaccination coverage in high-risk adults. Am J Public Health 2003; 93(12):2074-8. doi: 10.2105/ajph.93.12.2074 [Crossref]
  46. Lu PJ, Srivastav A, Amaya A, Dever JA, Roycroft J, Kurtz MS. Association of provider recommendation and offer and influenza vaccination among adults aged ≥18 years - United States. Vaccine 2018; 36(6):890-8. doi: 10.1016/j.vaccine.2017.12.016 [Crossref]
  47. Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007-2012. Vaccine 2014; 32(19):2150-9. doi: 10.1016/j.vaccine.2014.01.081 [Crossref]
  48. Maurer J, Uscher-Pines L, Harris KM. Perceived seriousness of seasonal and A(H1N1) influenzas, attitudes toward vaccination, and vaccine uptake among U.S. adults: does the source of information matter?. Prev Med 2010; 51(2):185-7. doi: 10.1016/j.ypmed.2010.05.008 [Crossref]
  49. Rubin GJ, Potts HW, Michie S. The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK. Health Technol Assess 2010; 14(34):183-266. doi: 10.3310/hta14340-03 [Crossref]
  50. Eastwood K, Durrheim DN, Jones A, Butler M. Acceptance of pandemic (H1N1) 2009 influenza vaccination by the Australian public. Med J Aust 2010; 192(1):33-6. doi: 10.5694/j.1326-5377.2010.tb03399.x [Crossref]
Submitted: 25 Apr 2020
Accepted: 08 May 2021
First published online: 19 May 2021
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - FireFox Plugin)

Abstract View: 2893
PDF Download: 1739
Full Text View: 630