Nursing Faculty Members’ Perception Regarding Wearing Mask and Accepting Coronavirus Vaccines
Mosul Journal of Nursing,
2023, Volume 11, Issue 1, Pages 22-32
10.33899/mjn.2023.176932
Abstract
The COVID-19 pandemic is posing significant public-health issues. Broad adoption of preventative measures such as masking and vaccination is required to keep the pandemic under control. As nursing faculty play an important role in the future of nursing, their perception regarding wearing mask and taking vaccine can be crucial in preventive measures regarding COVID-19. The study aims to assess the perception of nursing faculty regarding wearing mask and coronavirus vaccines. A descriptive correlational design was used to guide this study. A total of 76 nursing faculty members in six colleges of nursing at six different universities in Iraq were selected by convenience sampling. Each faculty member received a questionnaire and consent form to be signed. from February 1, 2022 to February 24, 2022. The sampling method was applied in this study using a non-probability purposive method. Data were collected from faculty using questionnaire distributed at the faculty member's offices consisted of demographic characteristics and 32 items about the Face Mask Perception Scale and 11 items about VAC-COVID-19 scale. The results indicated that the majority of faculty had a positive perception of wearing facial masks (n = 69; 90.8%). The results also revealed that the majority of faculty have somewhat sound perception of coronavirus vaccine (n = 67; 88.2%). In this study, we described nursing faculty members' perceptions of the mask use and coronavirus vaccines during COVID-19 pandemic. According to the findings, the organization of work of the faculty, and the efforts of them in this crisis are being very effective.Nursing Faculty Members’ Perception Regarding Wearing Mask and Accepting Coronavirus Vaccines
Sameerah Mohammed Saeed Ajam 1, Mohammed Baqer Al-Jubouri 2 *
Department of adult nursing, College of Nursing, University of Baghdad, City of Baghdad, Iraq;
- Department of adult nursing, College of Nursing, University of Baghdad, City of Baghdad, Iraq.
Corresponding author: Sameerah Mohammed Saeed Ajam
Email: samera.mohammed1202b@conursing.uobaghdad.edu.iq
ORCID: 0000-0003-2124-1308
ABSTRACT
The COVID-19 pandemic is posing significant public-health issues. Broad adoption of preventative measures such as masking and vaccination is required to keep the pandemic under control. As nursing faculty play an important role in the future of nursing, their perception regarding wearing mask and taking vaccine can be crucial in preventive measures regarding COVID-19. The study aims to assess the perception of nursing faculty regarding wearing mask and coronavirus vaccines. A descriptive correlational design was used to guide this study. A total of 76 nursing faculty members in six colleges of nursing at six different universities in Iraq were selected by convenience sampling. Each faculty member received a questionnaire and consent form to be signed. from February 1, 2022 to February 24, 2022. The sampling method was applied in this study using a non-probability purposive method. Data were collected from faculty using questionnaire distributed at the faculty member's offices consisted of demographic characteristics and 32 items about the Face Mask Perception Scale and 11 items about VAC-COVID-19 scale. The results indicated that the majority of faculty had a positive perception of wearing facial masks (n = 69; 90.8%). The results also revealed that the majority of faculty have somewhat sound perception of coronavirus vaccine (n = 67; 88.2%). In this study, we described nursing faculty members' perceptions of the mask use and coronavirus vaccines during COVID-19 pandemic. According to the findings, the organization of work of the faculty, and the efforts of them in this crisis are being very effective.
Keywords: Covid-19; Coronavirus Vaccines; Face Masks Wearing; Faculty Members
INTRODUCTION
Although early research showed that coronavirus disease 19 (COVID-19), which was declared a worldwide pandemic on March 11, 2020 (World Health Organization [WHO], 2020a), is primarily spread by respiratory droplet and physical contact (Burke et al., 2020; Chan et al., 2020; Huang et al., 2020), more recent study reveals that, like its precursor, Sever Acute Respiratory Syndrome Coronavirus (SARS-COV), airborne transmission plays a critical role in the spread of the infection (Morawska & Milton, 2020; Zhang et al., 2020). As a result, in comparison with social distance, face mask use are now the most popular method of infection prevention as the simplest and easiest way to implement individual safety precaution (Abboah-Offei et al., 2021; Ditekemena, 2021). The WHO has deemed this measure efficient (WHO, 2020b). The Center for Disease Control and Prevention (CDC) advised people to wear a facial mask in public if they cannot stay at least six feet away from others to help stop the spread of COVID-19. (CDC, 2020). The recommendation to wear a mask appears to have sparked debate among the general people (Eikenberry et al., 2020; Scheid et al., 2020).
A protest movement against the wearing of masks was established during the most recent corona pandemic (Franchini, 2020; Taylor & Asmundson, 2021), As in the 1919 Spanish flu pandemic in San Francisco, the Anti-Mask League was created, arguing that masks were ineffective and inappropriate for general use, but the Anti-Mask League did not persist long, and most people respected the advice to use masks (Cohn, 2018; Dolan, 2020; Franchini, 2020). Following the coronavirus pandemic, large organizations began producing vaccines against COVID-19 to decrease infection (Duc Ha et al., 2020). On the other side, vaccination is seen to be a preventive and successful means of reducing infections (CDC, 2021; Duc Ha et al., 2020; Monto, 2006; Nichol, 2008; and WHO, 2021).
Vaccine hesitancy, on the other hand, was recognized a global health problem by the WHO. Vaccine hesitancy is defined as a person's denial or rejection of vaccines besides the availability of a vaccine (WHO, 2019). However, the media may add to anti-vaccination sentiment by allowing erroneous information to spread fast (Cuello-Garcia et al., 2020; González-Padilla & Tortolero- Blanco, 2020). When the populace began receiving mass vaccinations, wearing face masks was still crucial as a precaution to reduce the chance of contracting the coronavirus (Lesser & Whittaker, 2021). This is owing to the virus's fast propagation of new strains that are more infectious than the original (Shashina et al., 2021). However, it is possible that the pandemic will continue to spread despite the creation of specific COVID-19 prophylaxis. Where, it is challenging to vaccinate a significant section of the population in a short time for a variety of actual and perceived reasons: contraindications, chronic conditions, and certain individuals' anti-vaccination attitudes must all be considered (Lesser & Whittaker, 2021; Shashina et al., 2021). In order to prevent the virus from spreading, strict adherence to other transmission-reducing methods, such face masks and social isolation, is still required because the majority of the population is not vaccinated (Lesser & Whittaker, 2021; Shashina et al., 2021).
As Manning and colleagues (2021) found, academic nursing leaders, on the other hand, play an important role in ensuring that faculty and students are vaccinated widely, as this has a significant influence on public acceptability of vaccination. Therefore, Miller (2021) states that people with a higher level of education have a greater willingness to obtain a COVID-19 vaccination and a higher degree of belief in the vaccine's efficiency and safety. On the contrary, new researches looking into the willingness to get the COVID-19 vaccination in many nations discovered that a lack of knowledge is linked to a lower readiness to receive the vaccine (Abedin, et al., 2021; Kelly, et al., 2021; Kessels, et al., 2021). Perception that specific protective behaviors would help to reduce infection risk and perception of oneself as more vulnerable to pandemics and more susceptible to infection are linked to engaging in illness prevention, avoidance, and management behaviors to protect oneself (Bish & Michie, 2010; Sim et al., 2014).
IMPORTANCE OF THE STUDY
In previous pandemics, healthcare practitioners, notably nurses, played an important role in vaccine adoption (Deem, 2018). Therefore, Manning et al. (2021) findings suggested that faculty and student vaccination concerns may require consideration by academic nursing leaders, as well as vaccine development education. Additionally, nursing faculty will be crucial in preparing students to confidently respond to questions about vaccinations, as well as in developing a vaccination program for their school or institution (Manning et al., 2021). Nursing faculty members who teach the next generation of nurses (Dewart et al., 2020) as frontline healthcare practitioners are required to ensure a safe and continuing COVID-19 vaccination response (Manning et al., 2021), as well as educate the public about safety precautions including mask use (Howard, 2020). Nurses must grasp the importance of vaccination and the fact that difficulties and worries are handled when nursing professors teach and act as role models for their students (Manning et al., 2021).
As a result, it is essential to understand how nursing faculty perceive about face masks and COVID vaccinations in order to develop interventions that will change how people use face masks and get vaccinated. Because they may have a range of attitudes regarding face masks and vaccinations, not only positive or negative ones that influence their behaviour (Howard, 2020; Mejia et al., 2021In the end, the research aims to assess nursing faculty members' perceptions of mask use and COVID-19 vaccination acceptance. This highlights the importance of nursing faculty members having the COVID-19 vaccine and wearing a face mask, which can protect them and reduce the spread of infection to their families and communities. The researchers hypothesized that nursing faculty members had a positive perception of wearing a face mask and receiving a COVID-19 vaccination.
METHODS OF THE STUDY
To carry out this study, a descriptive correlational design was used. All of Iraq's nursing colleges' faculty members were included in the research population. By using the convenience sampling method, 76 nursing faculty members were chosen as a sample. Participants were nursing faculty who met the following inclusion criteria: nursing science specialists with doctorate and master's degrees, as well as male and female faculty members of various ages. Nursing faculty members who are teaching in nursing colleges with no nursing degrees such as biologists and those who are not formally faculty members in a college of nursing, as those from the ministry of health that teach in colleges of nursing, are excluded from the study. The number of faculty members enrolled in Iraqi nursing colleges of the target universities is about 136. With a 90% degree of confidence and a 5% margin of error, 91 faculty members must be included in the sample. A total of 76 individuals were gathered for this investigation. This study was conducted at six nursing schools at six different universities in Iraq (Baghdad, Karbala, Babylon, Al-Kufa, Al-Qadisiyah, and Al-Muthanna). Data for this study was gathered using a demographic questionnaire, the Face Mask Perception Scale [FMPS], and the VAC-COVID-19 scale. The demographic data includes gender and age. Howard (2020) developed the FMPS, which measures the justification for not wearing a face mask. The instrument was used in this study to find out nursing faculty members' perceptions about wearing masks. "Comfort," "efficacy doubts," "access," "compensation," "inconvenience," "appearance," "attention," and "independence" are the scale's eight dimensions. There are four items per dimension. A total of 32 items were used to evaluate the participants. A seven-point Likert scale was used to score each item (1 being "strongly disagree," and 7 being "strongly agree." The more negative the perceptions of the face mask, the higher the subscale values. The dimension cut-off point was determined by deducting the lowest score of "4" from the highest score of "28." Participants with scores between "4" and "16" would be deemed to have a positive perception, while those with scores between "17" and "28" would be considered to have a negative perception (the range of "28" would be divided by "2" to get the interval of "12"). After receiving approval through email from the copyright owner, the FMPS was used.
Mejia et al. (2021) created the VAC-COVID-19 scale to assess the perception of COVID-19 vaccine acceptance. Positive and negative perceptions toward COVID-19 vaccines are assessed using the VAC-COVID-19 scale. There were two categories on the scale. The first group contained seven items, including reasons for not getting vaccinated, and the second group contained four items, including reasons for being vaccinated. An 11-item scale will be completed by the study sample. "Strongly disagree," "disagree," "neither disagree nor agree," "agree," and "strongly agree" are the five possible Likert-type responses for each item. By deducting the minimum score of "11" from the maximum score of "55," the cut-off point for coronavirus vaccination perception is determined. Three tertiles are obtained by dividing the range by three. Participants with scores between "11" and "25" would fall into the first tertile of "unsound perception," those between "26" and "40" would fall into the second tertile of "somewhat sound perception," and those between "41" and "55" would fall into the third tertile of "sound perception." According to Mejia et al. (2021), the EFA and CFA were used to establish the validity of the instrument, proving that the measure has high construct validity. Cronbach's coefficient was used to assess the scale's reliability and was found to be above 0.8, indicating that the VAC-COVID-19 scale is reliable. Once the copyright owner had granted permission via email, the VAC-COVID-19 scale was utilized. Two bilingual faculty members performed a forward translation of the study tool and a backward translation with another pair of bilingual faculty members. This translation was completed blindly and independently.
Data Analysis
The data analysis was carried out using the statistical package SPSS version 26.0. The demographic data was analyzed including age and gender using descriptive statistics to describe the sample. The means and standard deviations of continuous variables were stated. The frequency and percentages were used to represent categorical variables. The structural equation modelling, correlation personal, and independent-sample t-test was used to determine which of the characteristics related with face masks and COVID-19 vaccines.
THE RESULTS OF THE STUDY
According to the descriptive study, faculty members were 40.70 ± 10.53 years old on average. Concerning the gender, more than a half are males (n = 41; 53.9%) compared to females (n = 35; 10.6%).
In contrast to those who have a negative perception (n = 25; 32.9%), most faculty members have a positive perception (n = 51; 67.1%) and believe that wearing a face mask is comfortable. In contrast to those who have a negative perception regarding efficacy doubts (n = 12; 15.8%), the majority of faculty members have a positive perception (n = 64; 84.2%) and believe that wearing a face mask is effective. In contrast to one who has a negative perspective on access (n = 1; 1.3%), the vast majority of them (n = 75; 98.7%) have a positive perception of being able to wear a face mask. In contrast to those who have a positive perception (n = 30; 39.5%), most faculty members (n = 46; 60.5%) have a negative perception of compensation connected to wearing a face mask. In comparison to those who have a negative perception (n = 9; 11.8%), the majority (n = 67; 88.2%) perceive wearing a face mask as an inconvenience. In contrast to those who have a negative perception regarding appearance (n = 3; 3.9%), the vast majority (n = 73; 96.1%) have a positive perception of wearing face masks. In contrast to those who have a negative perception (n = 12; 15.8%), the majority (n = 64; 84.2%) believe that wearing a face mask increases attention. In comparison to those who have a negative perception of independence (n = 37; 48.7%), more than half (n = 39; 51.3%) have a positive perception of independence associated with wearing a face mask. In contrast to those who have a negative perception (n = 7; 9.2%), the majority of faculty members (n = 69; 90.8%) have a positive perception regarding wearing a facial mask.
According to the study's findings, the majority of faculty members (n = 67; 88.2%) had a somewhat sound perception of the coronavirus vaccine, with an unsound perception (n = 6; 7.9%) and a sound perception (n = 3; 3.9%).
The study's results revealed that there was no statistically significant correlation between faculty members' perceptions of wearing facial masks and their age (p value = -.002). Additionally, there was no statistically significant correlation (p value =.171) between faculty members' age and perception of the coronavirus vaccine. Also, there was no statistically significant difference in faculty members' perceptions of wearing a facial mask (P value =.230) or receiving the coronavirus vaccine (P value =.464) based on their gender groups.
Table 1. Faculty members’ perceptions of wearing facial masks (N = 76)
Dimension |
Negative |
Positive |
||
Frequency |
Percent |
Frequency |
Percent |
|
Comfort |
25 |
32.9 |
51 |
67.1 |
Efficacy Doubts |
12 |
15.8 |
64 |
84.2 |
Access |
1 |
1.3 |
75 |
98.7 |
Compensation |
46 |
60.5 |
30 |
39.5 |
Inconvenience |
9 |
11.8 |
67 |
88.2 |
Appearance |
3 |
3.9 |
73 |
96.1 |
Attention |
12 |
15.8 |
64 |
84.2 |
Independence |
37 |
48.7 |
39 |
51.3 |
Overall |
7 |
9.2 |
69 |
90.8 |
Cut-off-point for dimensions: Positive = 4-16; Negative = 17-28
Overall cut-off-pint: Positive = 32-128; Negative = 129-224
Table 2. Faculty members’ perception of coronavirus vaccine (N = 76)
|
Perceptions of coronavirus vaccines |
|||||
Unsound (11-25) |
Somewhat sound (26-40) |
Sound (41-55) |
||||
Frequency |
Percent |
Frequency |
Percent |
Frequency |
Percent |
|
Overall perception |
6 |
7.9 |
67 |
88.2 |
3 |
3.9
|
Table 3. Correlation between faculty members’ age and perception of wearing facial mask and perception of coronavirus vaccine
|
Faculty's Age |
Faculty Wearing Mask Perception |
Faculty Coronavirus Vaccine Perception |
Faculty's Age |
- |
-.002 |
.171 |
Wearing Mask Perception |
-.002
|
-
|
|
Coronavirus Vaccine Perception |
.171 |
|
- |
Table 4. Difference in faculty members’ perception of wearing mask and perception of coronavirus vaccine
between gender groups
Independent Samples Test |
||||||||||
|
Levene's Test for Equality of Variances |
t-test for Equality of Means |
||||||||
F |
Sig. |
t |
df |
Sig. (2-tailed) |
Mean Difference |
Std. Error Difference |
95% Confidence Interval of the Difference |
|||
Lower |
Upper |
|||||||||
Faculty’s perception of wearing mask |
Equal variances assumed |
.613 |
.436 |
-1.210 |
74 |
.230 |
-6.95052 |
5.74597 |
-18.39961 |
4.49857 |
Equal variances not assumed |
|
|
-1.225 |
73.999 |
.224 |
-6.95052 |
5.67196 |
-18.25216 |
4.35111 |
|
Faculty Coronavirus |
Equal variances assumed |
.457 |
.501 |
-.736 |
74 |
.464 |
-.78606 |
1.06813 |
-2.91437 |
1.34224 |
Perception |
Equal variances not assumed |
|
|
-.728 |
68.137 |
.469 |
-.78606 |
1.07970 |
-2.94049 |
1.36837 |
Df: Degree of freedom; F: F-Statistics; Sig.: Significance; Std. Error: Standard Error; t: T-Test
DISCUSSION
According to the descriptive analysis, the average age of the faculty members was 40.70 ± 10.53 years. Considering the current results that showed no statistically significant correlation between faculty members’ age and their perception of wearing facial masks and coronavirus vaccine. Research by Howard (2021a) looked at the link between age, perception of face masks, and the wearing of face masks, which discovered that age had no statistically significant relationship with any face mask perceptions. Bish and Michie (2010) noted that age has an unclear role in recognizing preventive behaviors. It is possible, that the impact of age on behavior differs across all preventive behaviors. Older people, for example, may be more likely to get vaccinated but less likely to wear face masks (Al-Mohaithef and Padhi, 2020; Howard, 2021a). While some studies have found that older respondents are more likely to accept vaccination (Al-Mohaithef and Padhi, 2020; Coe et al., 2022; Malik et al., 2020), while others have found no link (Harapan et al., 2020; Wang et al., 2020). According to the findings of Ghazi et al., (2021), respondents who accept vaccination are substantially younger. A possible explanation of the current study result is that nursing faculty members are considered specialists and are more committed to preventive measures. In comparison to other individuals, they may also be more knowledgeable with and confident in scientific phenomena.
Concerning gender, more than a half of faculty members participated in the study are males compared to females. The current study reveals that there is no statistically significant difference in faculty members’ perception of wearing facial masks and coronavirus vaccine between gender groups, suggesting that during the COVID-19 pandemic, men and women had the same perceptions about wearing face masks. Howard (2021b) observed that gender had a substantial impact on how people perceived face masks. Face masks were perceived as impeding on men's independence more than women's, while women found it uncomfortable (Howard, 2021b). According to some limited research men and women showed equal willingness and behaviors related to using face masks during the SARS outbreak (Barr et al., 2008; Bish & Michie, 2010). According to the findings of a research by Haischer et al. (2020), the odds of a female wearing a mask are much higher than that of a man. There is also a study reported that men have been shown to be less likely to wear a face mask (Naeim et al., 2021), but another study reported a failure to identify gender differences in mask wearing (Howard, 2021b). Although previous research suggested that gender was a predictor of vaccine acceptability (Fisher et al., 2020; Malik et al., 2020; Wang et al., 2020) the current findings revealed a non-significant correlation, which is in line with the findings of other studies (Ghazi et al., 2021; Harapan et al., 2020). Vaccination intentions have been studie in published researchs, and, perhaps unexpectedly, compared to women, men are more likely to plan to be vaccinated. (Fisher et al., 2020; Reiter et al., 2020).
In the current study, the majority of faculty member's participants have a positive perception of wearing facial mask. A possible interpretation to that is that the nursing faculty members are specialists on the field of health care and are aware of the importance of adhering to preventive measures, including wearing a mask, so it is natural to find their perceptions about face masks positive, as they represent the first lines to confront pandemics, and as being a role model for their students. About three-quarters of participants in a cross-sectional study in Egypt that looked at Egyptians' knowledge, perceptions, and attitudes concerning the COVID-19 disease believed that wearing a face mask may prevent them from getting sick; only about 35% were willing to do this; and there was a positive attitude towards using protective measures (Abdelhafiz et al., 2020). In addition, a research comparing masking-related perceptions in China and three German-speaking nations (Austria, Germany, and Switzerland) published in April 2020 found that Chinese participants exhibited higher pro-masking perceptions than European ones (Zhao and Knobel, 2021). The majority of respondents (84%) to a Taylor and Asmundson (2021) online poll reported wearing masks because of COVID-19. The remaining 16% who did not wear masks scored negative attitudes towards masks over most measures. They discovered that people's rejection of masks is driven by the belief that the masks are unpleasant or make wearers look dumb. However, Kasting et al. (2020) stated that those who are concerned about COVID-19 are also more likely to believe that wearing a mask is an effective way to reduce the virus from spreading.
The findings show that the majority of faculty members have a reasonable understanding or somewhat sound perception of the coronavirus vaccination. Faculty are key in maintaining a safe, continuing COVID-19 response as frontline health care staff, and nurses, as the most trusted profession, play a significant role in influencing vaccination readiness of patients and the community. This finding agreed with a cross-sectional community survey in Bangladesh, found positive attitudes towards COVID-19 vaccine among the general population (Islam et al., 2021). The finding is inconsistent with a cross-sectional study that examined the perceptions of Korean citizens regarding the COVID-19 vaccine and discovered that the majority of Koreans hold negative perceptions about the vaccine (Lee et al., 2021). A cross-sectional study was conducted in Iraq to examine general population approval of the COVID-19 vaccine found that (77.6%) respondents agreed to take the COVID-19 vaccine when available (Ghazi et al., 2021). Previous studies in Egypt (Fares et al., 2021), Congo (Nzaji et al., 2020), and the United States of America (Shekhar et al., 2021) indicated that the COVID-19 vaccinations had a poor acceptance rate. In contrast, a research in France (Detoc et al., 2020) discovered that 77.6% of participants "probably agreed" to get vaccinated. In addition, a research conducted by Barry et al., (2021) to assess COVID-19 vaccination confidence in a Middle East Respiratory Syndrome Coronavirus affected country discovered that two-thirds of Health care workers reported readiness to accept a prospective COVID-19 vaccine.There are some limitations in this study. The sample size was small depending on the inclusion criteria. Also, the research form was not completed by all faculty members, and the response rate was only 81.72% for faculty members. In the current study, only six nursing schools from six universities were considered, which may not accurately represent all nursing schools across the country. A larger sample size would have allowed for the production of more representative results. The fact that this study only included nursing faculty means that the findings cannot be applied to other faculty members in other professions.
CONCLUSION
In this study, we described nursing faculty members' perceptions of the mask use and coronavirus vaccines acceptance during COVID-19 pandemic. This is the first study, to the best of our knowledge, to describe nursing faculty perceptions of the mask use and coronavirus vaccines during the COVID-19. In general, the present study results indicated that the majority of faculty members had positive perceptions toward face masks, which are crucial to preventing the disease from spreading. The current study also showed that, in general, faculty members had a reasonable understanding of the coronavirus vaccination. According to the findings, the organization of work of the faculty members, and the efforts of them in this crisis are being very effective. To promote positive opinions of COVID-19 vaccines, targeted health education initiatives are necessary. In order to create effective responses and multidisciplinary educational initiatives in the post-pandemic period, it may be essential to comprehend faculty views concerning the COVID-19 vaccines as well as to promote their health participation and awareness.
ETHICAL
The University of Baghdad in Iraq provided the IRB.
RESEARCH FUNDINGS
Not funding.
AUTHOR’SCONTRIBUTIONS
All author has agreed to be accountable for the full manuscript's content and has given their approval for submission.
Competing interests
Authors claim to have no competing interests.
ACKNOWLEDGEMENT
The authors acknowledge the assistance of Matt C. Howard, Mitchell College of Business, University of South Alabama, and Marcos Roberto Tovani-Palone, Pathology and Legal Medicine, University of Sao Paulo, Ribeiro Preto, Brazil, for allowing the use of their respective scales, the FMPS scale and the VAC-COVID-19 scale. The University of Baghdad is also appreciated for all of assistance and IRB permission. Many thanks also go out to the administrators of nursing colleges for making the data collection procedure easier.
REFERENCES
Abboah-Offei, M., Salifu, Y., Adewale, B., Bayuo, J., Ofosu-Poku, R., & Opare-Lokko, E. (2021). A rapid review of the use of face mask in preventing the spread of COVID-19. International Journal of Nursing Studies Advances, 3, 100013. https://doi.org/10.1016/j.ijnsa.2020.100013
Abdelhafiz, A. S., Mohammed, Z., Ibrahim, M. E., Ziady, H. H., Alorabi, M., Ayyad, M., & Sultan, E. A. (2020). Knowledge, perceptions, and attitude of Egyptians towards the novel coronavirus disease (COVID-19). Journal of Community Health, 45(5), 881-890. https://doi.org/10.1007/s10900-020-00827-7
Abedin, M., Islam, M., Rahman, F., Reza, H., Hossain, M. Z., Hossain, M. A., Arefin, A., & Hossain, A. (2021). Willingness to vaccinate against COVID-19 among Bangladeshi adults: Understanding the strategies to optimize vaccination coverage. PLoS One, 16(4), 0250495. https://doi.org/10.1371/journal.pone.0250495
Al-Mohaithef, M., & Padhi, B. K. (2020). Determinants of COVID-19 vaccine acceptance in Saudi Arabia: a web-based national survey. Journal of multidisciplinary healthcare, 13, 1657. https://doi.org/10.2147%2FJMDH.S276771
Barr, M., Raphael, B., Taylor, M., Stevens, G., Jorm, L., Giffin, M., & Lujic, S. (2008). Pandemic influenza in Australia: using telephone surveys to measure perceptions of threat and willingness to comply. BMC infectious diseases, 8(1), 1-14. https://doi.org/10.1186/1471-2334-8-117
Barry, M., Temsah, M. H., Alhuzaimi, A., Alamro, N., Al-Eyadhy, A., Aljamaan, F., Saddik, B., Alhaboob, A., Alsohime, F., Alhasan, K., Alrabiaah, A., Alaraj, A., Halwani, R., Jamal, A., Alsubaie, S., Al-Shahrani, F., Memish, Z., & Al-Tawfiq, J. A. (2021). COVID-19 vaccine confidence and hesitancy among health care workers: A cross-sectional survey from a MERS-CoV experienced nation. PloS One, 16(11), e0244415. https://doi.org/10.1371/journal.pone.0244415
Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. British Journal of Health Psychology, 15(4), 797-824. https://doi.org/10.1348/135910710X485826
Burke, R., Midgley, C., Dratch, A., Fenstersheib, M., Haupt, T., Holshue, M., Ghinai, I., Jarashow, M., Lo, J., McPherson, T., Rudman, S., Scott, S., Hall, A., Fry, A., & Rolfes, M. (2020). Active monitoring of persons exposed to patients with confirmed COVID-19—United States, January–February 2020. Morbidity and Mortality Weekly Report, 69(9), 245. https://dx.doi.org/10.15585%2Fmmwr.mm6909e1
Centers for Disease Control and Prevention. (2020). Use of cloth face coverings to help slow the spread of COVID-19. https://stacks.cdc.gov/view/cdc/87542
Centers for Disease Control and Prevention. (2021). Covid-19 vaccine effectiveness research. https://www.cdc.gov/vaccines/covid-19/effectiveness-research/protocols.html
Chan, J., Yuan, S., Kok, K., To, K., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C., Poon, R., Tsoi, H. W., Lo, S., Chan, K. H., Poon, V., Chan, W. M., Ip, J., Cai, J. P., Cheng, V., Chen, H., Hui, C., & Yuen, K. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: A study of a family cluster. The Lancet, 395(10223), 514-523. https://doi.org/10.1016/S0140-6736(20)30154-9
Coe, A. B., Elliott, M. H., Gatewood, S. B., Goode, J. V., & Moczygemba, L. R. (2022). Perceptions and predictors of intention to receive the COVID-19 vaccine. Research in Social and Administrative Pharmacy, 18(4), 2593-2599. https://doi.org/10.1016/j.sapharm.2021.04.023
Cohn, S. K. (2018). Epidemics: Hate and Compassion from the Plague of Athens to AIDS. Oxford University Press. https://doi.org/10.1093/oso/9780198819660.001.0001
Cuello-Garcia, C., Pérez-Gaxiola, G., & van Amelsvoort, L. (2020). Social media can have an impact on how we manage and investigate the COVID-19 pandemic. Journal of Clinical Epidemiology, 127, 198-201. https://dx.doi.org/10.1016%2Fj.jclinepi.2020.06.028
Deem, M. J. (2018). Nurses’ voices matter in decisions about dismissing vaccine-refusing families. AJN The American Journal of Nursing, 118(8), 11. https://doi.org/10.1097/01.naj.0000544142.09253
Detoc, M., Bruel, S., Frappe, P., Tardy, B., Botelho-Nevers, E., & Gagneux-Brunon, A. (2020). Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine, 38(45), 7002-7006. https://doi.org/10.1016/j.vaccine.2020.09.041
Dewart, G., Corcoran, L., Thirsk, L., & Petrovic, K. (2020). Nursing education in a pandemic: Academic challenges in response to COVID-19. Nurse Education Today, 92, 104471. https://doi.org/10.1016/j.nedt.2020.104471
Ditekemena, J., Mavoko, H., Obimpeh, M., Van Hees, S., Siewe Fodjo, J., Nkamba, D., Tshefu, A., Damme, W., Muyembe, J., & Colebunders, R. (2021). Adherence to COVID-19 prevention measures in the Democratic Republic of the Congo, results of two consecutive online surveys. International Journal of Environmental Research and Public Health, 18(5), 2525. https://doi.org/10.3390/ijerph18052525
Dolan, B. (2020). Unmasking history: Who was behind the anti-mask league protests during the 1918 influenza epidemic in San Francisco? Perspectives in Medical Humanities, 5(19). https://doi.org/10.34947/M7QP4M
Duc Ha, H., Minh Duc, N., & Minh Thong, P. (2020). The current update of vaccines for sars-cov-2. Electron J Gen Med, 17(5), 248. https://doi.org/10.29333/ejgm/8233
Eikenberry, S., Mancuso, M., Iboi, E., Phan, T., Eikenberry, K., Kuang, Y., Kostelich, E., & Gumel, A. (2020). To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic. Infectious Disease Modelling, 5, 293-308. https://doi.org/10.1016/j.idm.2020.04.001
Fares, S., Elmnyer, M. M., Mohamed, S. S., & Elsayed, R. (2021). COVID-19 vaccination perception and attitude among healthcare workers in Egypt. Journal of primary care & community health, 12, 21501327211013303. https://doi.org/10.1177%2F21501327211013303
Fisher, K. A., Bloomstone, S. J., Walder, J., Crawford, S., Fouayzi, H., & Mazor, K. M. (2020). Attitudes toward a potential SARS-CoV-2 vaccine: a survey of US adults. Annals of Internal Medicine, 173(12), 964-973. https://doi.org/10.7326/M20-3569
Franchini, A., Auxilia, F., Galimberti, P., Piga, M., Castaldi, S., & Porro, A. (2020). COVID 19 and Spanish flu pandemics: All it changes, nothing changes. Acta Bio Medica: Atenei Parmensis, 91(2), 245-250. https://dx.doi.org/10.23750%2Fabm.v91i2.9625
Ghazi, H., Taher, T., Alfadhul, S., Al-Mahmood, S., Hassan, S., Hamoudi, T., & Raheema, R. (2021). Acceptance of Covid-19 vaccine among general population in Iraq. Iraqi National Journal of Medicine, 3(1), 93-103. https://www.iqnjm.com/index.php/homepage/article/view/45
González-Padilla, D., & Tortolero-Blanco, L. (2020). Social media influence in the COVID-19 pandemic. International Braz J Urol, 46, 120-124. https://doi.org/10.1590/S1677-5538.IBJU.2020.S121
Haischer, M., Beilfuss, R., Hart, M., Opielinski, L., Wrucke, D., Zirgaitis, G., Uhrich, T., & Hunter, S. (2020). Who is wearing a mask? Gender-, age-, and location-related differences during the COVID-19 pandemic. Plos One, 15(10), e0240785. https://doi.org/10.1371/journal.pone.0240785
Harapan, H., Wagner, A. L., Yufika, A., Winardi, W., Anwar, S., Gan, A. K., Setiawan, A. M., Rajamoorthy, Y., Sofyan, H., & Mudatsir, M. (2020). Acceptance of a COVID-19 vaccine in Southeast Asia: a cross-sectional study in Indonesia. Frontiers in public health, 8, 381. https://doi.org/10.3389/fpubh.2020.00381
Howard, M. C. (2020). Understanding face mask use to prevent coronavirus and other illnesses: Development of a multidimensional face mask perceptions scale. British Journal of Health Psychology, 25(4), 912-924. https://doi.org/10.1111/bjhp.12453
Howard, M. C. (2021a). The relations between age, face mask perceptions and face mask wearing. Journal of public health. https://doi.org/10.1093/pubmed/fdab018
Howard, M. C. (2021b). Gender, face mask perceptions, and face mask wearing: Are men being dangerous during the COVID-19 pandemic? Personality and Individual Differences, 170, 110417. https://doi.org/10.1016/j.paid.2020.110417
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., ... & Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
Islam, M., Siddique, A. B., Akter, R., Tasnim, R., Sujan, M., Ward, P. R., & Sikder, M. (2021). Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh. BMC Public Health, 21(1), 1-11. https://doi.org/10.1186/s12889-021-11880-9
Kasting, M. L., Head, K. J., Hartsock, J. A., Sturm, L., & Zimet, G. D. (2020). Public perceptions of the effectiveness of recommended non-pharmaceutical intervention behaviors to mitigate the spread of SARS-CoV-2. PloS one, 15(11), e0241662. https://doi.org/10.1371/journal.pone.0241662
Kelly, B., Southwell, B., McCormack, L., Bann, C., MacDonald, P., Frasier, A., Bevc, C., Brewer, N., & Squiers, L. (2021). Predictors of willingness to get a COVID-19 vaccine in the US. BMC Infectious Diseases, 21(1), 1-7. https://doi.org/10.1186/s12879-021-06023-9
Kessels, R., Luyten, J., & Tubeuf, S. (2021). Willingness to get vaccinated against Covid-19 and attitudes towards vaccination in general. Vaccine, 39(33), 4716-4722. https://doi.org/10.1016/j.vaccine.2021.05.069
Lee, H., Noh, E. B., Park, S. J., Nam, H. K., Lee, T. H., Lee, G. R., & Nam, E. W. (2021). COVID-19 vaccine perception in south Korea: Web crawling approach. JMIR Public Health and Surveillance, 7(9), 31409. https://preprints.jmir.org/preprint/31409
Lesser, K., & Whittaker, G. (2021). Vaccination for COVID-19: Benchmarks in public health and virus transmission. Public Health, 197, e23. https://doi.org/10.1016/j.puhe.2021.02.002
Malik, A. A., McFadden, S. M., Elharake, J., & Omer, S. B. (2020). Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine, 26,100495. https://doi.org/10.1016/j.eclinm.2020.100495
Manning, M., Gerolamo, A., Marino, M., Hanson-Zalot, M., & Pogorzelska-Maziarz, M. (2021). COVID-19 vaccination readiness among nurse faculty and student nurses. Nursing Outlook, 69(4), 565-573. https://doi.org/10.1016/j.outlook.2021.01.019
Mejia, C., Rodriguez-Alarcon, J., Ticona, D., Flores-Lovon, K., Paredes-Obando, M., Avalos-Reyes, M., Ccasa-Valero, L., Carbajal, M., Esteban, R., Benito, O., Rivera-Lozada, O., & Tovani-Palone, M. (2021). Validation of a scale to measure the perception of SARS-CoV-2 vaccines acceptance: The VAC-COVID-19 scale. Electronic Journal of General Medicine, 18(5), 303. https://doi.org/10.29333/ejgm/11012
Miller, J. (2021). Education is a bigger factor than race in desire for COVID-19 vaccine. USC News. https://news.usc.edu/182848/education-covid-19-vaccine-safety-risks-usc-study
Monto, A. S. (2006). Vaccines and antiviral drugs in pandemic preparedness. Emerging Infectious Diseases, 12(1), 55-60. https://dx.doi.org/10.3201%2Feid1201.051068
Morawska, L., & Milton, D. (2020). It is time to address airborne transmission of coronavirus disease 2019 (COVID-19). Clinical Infectious Diseases, 71(9), 2311-2313. https://doi.org/10.1093/cid/ciaa939
Naeim, A., Baxter-King, R., Wenger, N., Stanton, A. L., Sepucha, K., & Vavreck, L. (2021). Effects of age, gender, health status, and political party on COVID-19–related concerns and prevention behaviors: results of a large, longitudinal cross-sectional survey. JMIR Public Health and Surveillance, 7(4), e24277. https://doi.org/10.2196/24277
Nichol, K. L. (2008). Efficacy and effectiveness of influenza vaccination. Vaccine, 26(4), 17-22. https://doi.org/10.1016/j.vaccine.2008.07.048
Nzaji, M., Ngombe, L., Mwamba, G., Ndala, D., Miema, J., Lungoyo, C., Mwimba, B., Bene, A., & Musenga, E. (2020). Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo. Pragmatic and Observational Research, 11, 103-109. https://dx.doi.org/10.2147%2FPOR.S271096
Reiter, P. L., Pennell, M. L., & Katz, M. L. (2020). Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?. Vaccine, 38(42), 500-6507. https://doi.org/10.1016/j.vaccine.2020.08.043
Scheid, J., Lupien, S., Ford, G., & West, S. (2020). Commentary: physiological and psychological impact of face mask usage during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 17(18), 6655. https://doi.org/10.3390/ijerph17186655
Shashina, E. A., Makarova, V. V., Shcherbakov, D. V., Isiutina-Fedotkova, T. S., Zabroda, N. N., Ermakova, N. A., Skopin, A. & Mitrokhin, O. (2021). Use of Respiratory Protection Devices by Medical Students during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(11), 5834. https://doi.org/10.3390/ijerph18115834
Shekhar, R., Sheikh, A. B., Upadhyay, S., Singh, M., Kottewar, S., Mir, H., Barrett, E., & Pal, S. (2021). COVID-19 vaccine acceptance among health care workers in the United States. Vaccines, 9(2), 119. https://doi.org/10.3390/vaccines9020119
Sim, S., Moey, K., & Tan, N. (2014). The use of facemasks to prevent respiratory infection: a literature review in the context of the Health Belief Model. Singapore Medical Journal, 55(3), 160-167. https://doi.org/10.11622/smedj.2014037
Taylor, S., & Asmundson, G. (2021). Negative attitudes about facemasks during the COVID-19 pandemic: The dual importance of perceived ineffectiveness and psychological reactance. Plos One, 16(2), e0246317. https://doi.org/10.1371/journal.pone.0246317
Wang, J., Jing, R., Lai, X., Zhang, H., Lyu, Y., Knoll, M. D., & Fang, H. (2020). Acceptance of COVID-19 vaccination during the COVID-19 pandemic in China. Vaccines, 8(3), 482. https://doi.org/10.3390/vaccines8030482
World Health Organization. (2019). Ten threats to global health in 2019. https://www.who.int/vietnam/news/feature-stories/detail/ten-threats-to-global-health-in-2019
World Health Organization. (2020a). Director-General’s opening remarks at the media briefing on COVID-19. https://www.who.int/dg/speeches/detail/who-director general-s-opening-remarks-at-the-media-briefing-on-covid-19-11-march -2020
World Health Organization. (2020b). Mask use in the context of COVID-19. https://www.who.int/publications/i/item/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
World Health Organization. (2021). Vaccine efficacy, effectiveness and protection. https://www.who.int/news-room/feature-stories/detail/vaccine-efficacy-effectiveness-and-protection
Zhang, R., Li, Y., Zhang, A. L., Wang, Y., & Molina, M. J. (2020). Identifying airborne transmission as the dominant route for the spread of COVID-19. Proceedings of the National Academy of Sciences, 117(26), 14857-14863. https://doi.org/10.1073/pnas.2009637117
Zhao, X., & Knobel, P. (2021). Face mask wearing during the COVID-19 pandemic: Comparing perceptions in China and three European countries. Translational Behavioral Medicine, 11(6), 1199-1204. https://doi.org/10.1093/tbm/ibab043
Abboah-Offei, M., Salifu, Y., Adewale, B., Bayuo, J., Ofosu-Poku, R., & Opare-Lokko, E. (2021). A rapid review of the use of face mask in preventing the spread of COVID-19. International Journal of Nursing Studies Advances, 3, 100013. https://doi.org/10.1016/j.ijnsa.2020.100013
Abdelhafiz, A. S., Mohammed, Z., Ibrahim, M. E., Ziady, H. H., Alorabi, M., Ayyad, M., & Sultan, E. A. (2020). Knowledge, perceptions, and attitude of Egyptians towards the novel coronavirus disease (COVID-19). Journal of Community Health, 45(5), 881-890. https://doi.org/10.1007/s10900-020-00827-7
Abedin, M., Islam, M., Rahman, F., Reza, H., Hossain, M. Z., Hossain, M. A., Arefin, A., & Hossain, A. (2021). Willingness to vaccinate against COVID-19 among Bangladeshi adults: Understanding the strategies to optimize vaccination coverage. PLoS One, 16(4), 0250495. https://doi.org/10.1371/journal.pone.0250495
Al-Mohaithef, M., & Padhi, B. K. (2020). Determinants of COVID-19 vaccine acceptance in Saudi Arabia: a web-based national survey. Journal of multidisciplinary healthcare, 13, 1657. https://doi.org/10.2147%2FJMDH.S276771
Barr, M., Raphael, B., Taylor, M., Stevens, G., Jorm, L., Giffin, M., & Lujic, S. (2008). Pandemic influenza in Australia: using telephone surveys to measure perceptions of threat and willingness to comply. BMC infectious diseases, 8(1), 1-14. https://doi.org/10.1186/1471-2334-8-117
Barry, M., Temsah, M. H., Alhuzaimi, A., Alamro, N., Al-Eyadhy, A., Aljamaan, F., Saddik, B., Alhaboob, A., Alsohime, F., Alhasan, K., Alrabiaah, A., Alaraj, A., Halwani, R., Jamal, A., Alsubaie, S., Al-Shahrani, F., Memish, Z., & Al-Tawfiq, J. A. (2021). COVID-19 vaccine confidence and hesitancy among health care workers: A cross-sectional survey from a MERS-CoV experienced nation. PloS One, 16(11), e0244415. https://doi.org/10.1371/journal.pone.0244415
Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. British Journal of Health Psychology, 15(4), 797-824. https://doi.org/10.1348/135910710X485826
Burke, R., Midgley, C., Dratch, A., Fenstersheib, M., Haupt, T., Holshue, M., Ghinai, I., Jarashow, M., Lo, J., McPherson, T., Rudman, S., Scott, S., Hall, A., Fry, A., & Rolfes, M. (2020). Active monitoring of persons exposed to patients with confirmed COVID-19—United States, January–February 2020. Morbidity and Mortality Weekly Report, 69(9), 245. https://dx.doi.org/10.15585%2Fmmwr.mm6909e1
Centers for Disease Control and Prevention. (2020). Use of cloth face coverings to help slow the spread of COVID-19. https://stacks.cdc.gov/view/cdc/87542
Centers for Disease Control and Prevention. (2021). Covid-19 vaccine effectiveness research. https://www.cdc.gov/vaccines/covid-19/effectiveness-research/protocols.html
Chan, J., Yuan, S., Kok, K., To, K., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C., Poon, R., Tsoi, H. W., Lo, S., Chan, K. H., Poon, V., Chan, W. M., Ip, J., Cai, J. P., Cheng, V., Chen, H., Hui, C., & Yuen, K. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: A study of a family cluster. The Lancet, 395(10223), 514-523. https://doi.org/10.1016/S0140-6736(20)30154-9
Coe, A. B., Elliott, M. H., Gatewood, S. B., Goode, J. V., & Moczygemba, L. R. (2022). Perceptions and predictors of intention to receive the COVID-19 vaccine. Research in Social and Administrative Pharmacy, 18(4), 2593-2599. https://doi.org/10.1016/j.sapharm.2021.04.023
Cohn, S. K. (2018). Epidemics: Hate and Compassion from the Plague of Athens to AIDS. Oxford University Press. https://doi.org/10.1093/oso/9780198819660.001.0001
Cuello-Garcia, C., Pérez-Gaxiola, G., & van Amelsvoort, L. (2020). Social media can have an impact on how we manage and investigate the COVID-19 pandemic. Journal of Clinical Epidemiology, 127, 198-201. https://dx.doi.org/10.1016%2Fj.jclinepi.2020.06.028
Deem, M. J. (2018). Nurses’ voices matter in decisions about dismissing vaccine-refusing families. AJN The American Journal of Nursing, 118(8), 11. https://doi.org/10.1097/01.naj.0000544142.09253
Detoc, M., Bruel, S., Frappe, P., Tardy, B., Botelho-Nevers, E., & Gagneux-Brunon, A. (2020). Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine, 38(45), 7002-7006. https://doi.org/10.1016/j.vaccine.2020.09.041
Dewart, G., Corcoran, L., Thirsk, L., & Petrovic, K. (2020). Nursing education in a pandemic: Academic challenges in response to COVID-19. Nurse Education Today, 92, 104471. https://doi.org/10.1016/j.nedt.2020.104471
Ditekemena, J., Mavoko, H., Obimpeh, M., Van Hees, S., Siewe Fodjo, J., Nkamba, D., Tshefu, A., Damme, W., Muyembe, J., & Colebunders, R. (2021). Adherence to COVID-19 prevention measures in the Democratic Republic of the Congo, results of two consecutive online surveys. International Journal of Environmental Research and Public Health, 18(5), 2525. https://doi.org/10.3390/ijerph18052525
Dolan, B. (2020). Unmasking history: Who was behind the anti-mask league protests during the 1918 influenza epidemic in San Francisco? Perspectives in Medical Humanities, 5(19). https://doi.org/10.34947/M7QP4M
Duc Ha, H., Minh Duc, N., & Minh Thong, P. (2020). The current update of vaccines for sars-cov-2. Electron J Gen Med, 17(5), 248. https://doi.org/10.29333/ejgm/8233
Eikenberry, S., Mancuso, M., Iboi, E., Phan, T., Eikenberry, K., Kuang, Y., Kostelich, E., & Gumel, A. (2020). To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic. Infectious Disease Modelling, 5, 293-308. https://doi.org/10.1016/j.idm.2020.04.001
Fares, S., Elmnyer, M. M., Mohamed, S. S., & Elsayed, R. (2021). COVID-19 vaccination perception and attitude among healthcare workers in Egypt. Journal of primary care & community health, 12, 21501327211013303. https://doi.org/10.1177%2F21501327211013303
Fisher, K. A., Bloomstone, S. J., Walder, J., Crawford, S., Fouayzi, H., & Mazor, K. M. (2020). Attitudes toward a potential SARS-CoV-2 vaccine: a survey of US adults. Annals of Internal Medicine, 173(12), 964-973. https://doi.org/10.7326/M20-3569
Franchini, A., Auxilia, F., Galimberti, P., Piga, M., Castaldi, S., & Porro, A. (2020). COVID 19 and Spanish flu pandemics: All it changes, nothing changes. Acta Bio Medica: Atenei Parmensis, 91(2), 245-250. https://dx.doi.org/10.23750%2Fabm.v91i2.9625
Ghazi, H., Taher, T., Alfadhul, S., Al-Mahmood, S., Hassan, S., Hamoudi, T., & Raheema, R. (2021). Acceptance of Covid-19 vaccine among general population in Iraq. Iraqi National Journal of Medicine, 3(1), 93-103. https://www.iqnjm.com/index.php/homepage/article/view/45
González-Padilla, D., & Tortolero-Blanco, L. (2020). Social media influence in the COVID-19 pandemic. International Braz J Urol, 46, 120-124. https://doi.org/10.1590/S1677-5538.IBJU.2020.S121
Haischer, M., Beilfuss, R., Hart, M., Opielinski, L., Wrucke, D., Zirgaitis, G., Uhrich, T., & Hunter, S. (2020). Who is wearing a mask? Gender-, age-, and location-related differences during the COVID-19 pandemic. Plos One, 15(10), e0240785. https://doi.org/10.1371/journal.pone.0240785
Harapan, H., Wagner, A. L., Yufika, A., Winardi, W., Anwar, S., Gan, A. K., Setiawan, A. M., Rajamoorthy, Y., Sofyan, H., & Mudatsir, M. (2020). Acceptance of a COVID-19 vaccine in Southeast Asia: a cross-sectional study in Indonesia. Frontiers in public health, 8, 381. https://doi.org/10.3389/fpubh.2020.00381
Howard, M. C. (2020). Understanding face mask use to prevent coronavirus and other illnesses: Development of a multidimensional face mask perceptions scale. British Journal of Health Psychology, 25(4), 912-924. https://doi.org/10.1111/bjhp.12453
Howard, M. C. (2021a). The relations between age, face mask perceptions and face mask wearing. Journal of public health. https://doi.org/10.1093/pubmed/fdab018
Howard, M. C. (2021b). Gender, face mask perceptions, and face mask wearing: Are men being dangerous during the COVID-19 pandemic? Personality and Individual Differences, 170, 110417. https://doi.org/10.1016/j.paid.2020.110417
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., ... & Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
Islam, M., Siddique, A. B., Akter, R., Tasnim, R., Sujan, M., Ward, P. R., & Sikder, M. (2021). Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh. BMC Public Health, 21(1), 1-11. https://doi.org/10.1186/s12889-021-11880-9
Kasting, M. L., Head, K. J., Hartsock, J. A., Sturm, L., & Zimet, G. D. (2020). Public perceptions of the effectiveness of recommended non-pharmaceutical intervention behaviors to mitigate the spread of SARS-CoV-2. PloS one, 15(11), e0241662. https://doi.org/10.1371/journal.pone.0241662
Kelly, B., Southwell, B., McCormack, L., Bann, C., MacDonald, P., Frasier, A., Bevc, C., Brewer, N., & Squiers, L. (2021). Predictors of willingness to get a COVID-19 vaccine in the US. BMC Infectious Diseases, 21(1), 1-7. https://doi.org/10.1186/s12879-021-06023-9
Kessels, R., Luyten, J., & Tubeuf, S. (2021). Willingness to get vaccinated against Covid-19 and attitudes towards vaccination in general. Vaccine, 39(33), 4716-4722. https://doi.org/10.1016/j.vaccine.2021.05.069
Lee, H., Noh, E. B., Park, S. J., Nam, H. K., Lee, T. H., Lee, G. R., & Nam, E. W. (2021). COVID-19 vaccine perception in south Korea: Web crawling approach. JMIR Public Health and Surveillance, 7(9), 31409. https://preprints.jmir.org/preprint/31409
Lesser, K., & Whittaker, G. (2021). Vaccination for COVID-19: Benchmarks in public health and virus transmission. Public Health, 197, e23. https://doi.org/10.1016/j.puhe.2021.02.002
Malik, A. A., McFadden, S. M., Elharake, J., & Omer, S. B. (2020). Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine, 26,100495. https://doi.org/10.1016/j.eclinm.2020.100495
Manning, M., Gerolamo, A., Marino, M., Hanson-Zalot, M., & Pogorzelska-Maziarz, M. (2021). COVID-19 vaccination readiness among nurse faculty and student nurses. Nursing Outlook, 69(4), 565-573. https://doi.org/10.1016/j.outlook.2021.01.019
Mejia, C., Rodriguez-Alarcon, J., Ticona, D., Flores-Lovon, K., Paredes-Obando, M., Avalos-Reyes, M., Ccasa-Valero, L., Carbajal, M., Esteban, R., Benito, O., Rivera-Lozada, O., & Tovani-Palone, M. (2021). Validation of a scale to measure the perception of SARS-CoV-2 vaccines acceptance: The VAC-COVID-19 scale. Electronic Journal of General Medicine, 18(5), 303. https://doi.org/10.29333/ejgm/11012
Miller, J. (2021). Education is a bigger factor than race in desire for COVID-19 vaccine. USC News. https://news.usc.edu/182848/education-covid-19-vaccine-safety-risks-usc-study
Monto, A. S. (2006). Vaccines and antiviral drugs in pandemic preparedness. Emerging Infectious Diseases, 12(1), 55-60. https://dx.doi.org/10.3201%2Feid1201.051068
Morawska, L., & Milton, D. (2020). It is time to address airborne transmission of coronavirus disease 2019 (COVID-19). Clinical Infectious Diseases, 71(9), 2311-2313. https://doi.org/10.1093/cid/ciaa939
Naeim, A., Baxter-King, R., Wenger, N., Stanton, A. L., Sepucha, K., & Vavreck, L. (2021). Effects of age, gender, health status, and political party on COVID-19–related concerns and prevention behaviors: results of a large, longitudinal cross-sectional survey. JMIR Public Health and Surveillance, 7(4), e24277. https://doi.org/10.2196/24277
Nichol, K. L. (2008). Efficacy and effectiveness of influenza vaccination. Vaccine, 26(4), 17-22. https://doi.org/10.1016/j.vaccine.2008.07.048
Nzaji, M., Ngombe, L., Mwamba, G., Ndala, D., Miema, J., Lungoyo, C., Mwimba, B., Bene, A., & Musenga, E. (2020). Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo. Pragmatic and Observational Research, 11, 103-109. https://dx.doi.org/10.2147%2FPOR.S271096
Reiter, P. L., Pennell, M. L., & Katz, M. L. (2020). Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?. Vaccine, 38(42), 500-6507. https://doi.org/10.1016/j.vaccine.2020.08.043
Scheid, J., Lupien, S., Ford, G., & West, S. (2020). Commentary: physiological and psychological impact of face mask usage during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 17(18), 6655. https://doi.org/10.3390/ijerph17186655
Shashina, E. A., Makarova, V. V., Shcherbakov, D. V., Isiutina-Fedotkova, T. S., Zabroda, N. N., Ermakova, N. A., Skopin, A. & Mitrokhin, O. (2021). Use of Respiratory Protection Devices by Medical Students during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(11), 5834. https://doi.org/10.3390/ijerph18115834
Shekhar, R., Sheikh, A. B., Upadhyay, S., Singh, M., Kottewar, S., Mir, H., Barrett, E., & Pal, S. (2021). COVID-19 vaccine acceptance among health care workers in the United States. Vaccines, 9(2), 119. https://doi.org/10.3390/vaccines9020119
Sim, S., Moey, K., & Tan, N. (2014). The use of facemasks to prevent respiratory infection: a literature review in the context of the Health Belief Model. Singapore Medical Journal, 55(3), 160-167. https://doi.org/10.11622/smedj.2014037
Taylor, S., & Asmundson, G. (2021). Negative attitudes about facemasks during the COVID-19 pandemic: The dual importance of perceived ineffectiveness and psychological reactance. Plos One, 16(2), e0246317. https://doi.org/10.1371/journal.pone.0246317
Wang, J., Jing, R., Lai, X., Zhang, H., Lyu, Y., Knoll, M. D., & Fang, H. (2020). Acceptance of COVID-19 vaccination during the COVID-19 pandemic in China. Vaccines, 8(3), 482. https://doi.org/10.3390/vaccines8030482
World Health Organization. (2019). Ten threats to global health in 2019. https://www.who.int/vietnam/news/feature-stories/detail/ten-threats-to-global-health-in-2019
World Health Organization. (2020a). Director-General’s opening remarks at the media briefing on COVID-19. https://www.who.int/dg/speeches/detail/who-director general-s-opening-remarks-at-the-media-briefing-on-covid-19-11-march -2020
World Health Organization. (2020b). Mask use in the context of COVID-19. https://www.who.int/publications/i/item/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
World Health Organization. (2021). Vaccine efficacy, effectiveness and protection. https://www.who.int/news-room/feature-stories/detail/vaccine-efficacy-effectiveness-and-protection
Zhang, R., Li, Y., Zhang, A. L., Wang, Y., & Molina, M. J. (2020). Identifying airborne transmission as the dominant route for the spread of COVID-19. Proceedings of the National Academy of Sciences, 117(26), 14857-14863. https://doi.org/10.1073/pnas.2009637117
Zhao, X., & Knobel, P. (2021). Face mask wearing during the COVID-19 pandemic: Comparing perceptions in China and three European countries. Translational Behavioral Medicine, 11(6), 1199-1204. https://doi.org/10.1093/tbm/ibab043
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