Literature DB >> 35377280

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

Jinqi Hao1, Huimin Liu1, Jihai Shi1, Qiufeng Wang1, Xiaoyou Su2, Zhengyang Shi1, Yanqin Yu1,3, Bo Liu1, Youlin Qiao2,3.   

Abstract

AIM: To understand the awareness of the willingness to be vaccinated and influencing factors of the new coronavirus vaccine (neo-crown vaccine) among medical personnel in North China and to provide a theoretical basis and application guidelines for the feasibility of coronavirus vaccination by medical personnel to guide the public to actively be vaccinated by taking initiative and obtaining a coronavirus vaccination as soon as possible.
METHODS: From April 2021 to June 2021, medical staff in North China were selected to complete an online questionnaire survey using Questionnaire Star to analyze the willingness rate to be vaccinated with the new coronavirus vaccine, and the influencing factors were analyzed using binary logistic regression.
RESULTS: Among 621 respondents, 85.7% were willing to be vaccinated after the launch of the new vaccine. In the questionnaire, respondents were asked to answer questions such as "Do you think it is better to receive as few vaccines as possible at the same time?," "If I get the new coronavirus vaccine, I may have serious side effects.," "The new coronavirus vaccine is safe.," "Specifically, for the new coronavirus vaccine, do you think it is safe?," and "Specifically, for the new coronavirus vaccine, do you think it is easy to administer?." These beliefs have an important influence on the vaccination of medical staff with the new coronavirus vaccine in Northern China (OR = 1.610,95% CI: 1.055 ~ 2.456; OR = 1.715,95% CI: 1.164 ~ 2.526; OR = 0.401, 95% CI: 0.212 ~ 0.760; OR = 0.352,95% CI: 0.147 ~ 0.843; OR = 3.688,95% CI: 1.281 ~ 10.502, respectively; All P values < .05).
CONCLUSIONS: Medical staff have a high willingness to be vaccinated with the new coronavirus vaccine, which plays a positive role in the publicity of the vaccine.

Entities:  

Keywords:  New coronavirus vaccine; influencing factors; medical personnel; willingness to vaccinate

Mesh:

Substances:

Year:  2022        PMID: 35377280      PMCID: PMC9196643          DOI: 10.1080/21645515.2022.2031775

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   4.526


Introduction

Coronavirus disease 2019 (COVID-19) is an acute respiratory disease with rapid transmission, high pathogenicity and high mortality caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 was reported in more than 136 million patients in April 2021. Over 2 million patients have died from COVID-19.[1] It is not only a major global public health emergency but also has a great negative impact on the economy and social lives of people worldwide. Although China has taken effective measures to control COVID-19, the risk of spread in some areas is still high, especially by asymptomatic individuals, who have a significant impact on the spread of COVID-19.[2] At the same time, there is an ever-present risk of breakthrough infection with the new delta (δ) coronavirus variant strain from India. Vaccination has always been the most effective way to prevent infectious diseases. For COVID-19, which may coexist with humans for a long time, the development of the new coronavirus vaccine is particularly important. At the same time, the safety and effectiveness of the new coronavirus vaccine are the key factors affecting the epidemic prevention of the new coronavirus.[3] At present, nearly 200 kinds of COVID-19 vaccines are in the preclinical research stage, and more than 90 kinds are in the clinical research stage. Three inactivated vaccines, one adenovirus vector vaccine and one recombinant protein vaccine in China have been urgently approved for marketing for population vaccination.[4] Studies have shown that people’s knowledge of the disease affects their self-management and compliance with interventions, thus influencing the general population’s vaccination behavior.[5] Therefore, novel coronavirus pneumonia and the new coronavirus vaccine are important factors that determine the current popularity of the new coronavirus vaccine. The population is aware of COVID-19, new coronavirus pneumonia and new coronavirus vaccines. In China, although the new coronavirus vaccine was fully launched in April 2021, the understanding of medical staff regarding the new coronavirus vaccine is still unclear. The high cognition of medical staff on the new coronavirus vaccine is of great significance for the prevention of breakthrough infections. Therefore, it is necessary to understand current medical staff’s understanding of COVID-19 and the new coronavirus vaccine and to guide medical staff to actively inoculate with it. This study took medical staff in North China as the research object and conducted an online questionnaire survey in April 2021 to understand the willingness of the medical staff to vaccinate with the new coronavirus vaccine and potential influencing factors to provide a basis for the further promotion of the vaccination plan for the new coronavirus vaccine and its specific implementation.

Materials and methods

Survey sample

The survey sample was from Inner Mongolia, Beijing and Hebei, and included current medical workers aged 18 to 60 years. A total of 663 people were surveyed, with 621 valid questionnaires returned and a response rate of 93.67%. Participants with missing main information and incomplete responses were excluded. Based on the formula n = (Z(1-α/2)/δ)(1-p) for the required sample size for the cross-sectional survey and the vaccination rate of P ≈ 80% obtained in a previous study,α = 0.05, and the absolute tolerance error forδ = 5%, Z(1-α/2) = 1.96; for this survey, the design effect Deff = 2, and considering the 20% missing visit rate, the minimum required sample size was calculated as 590 people.

Survey content

The survey included general information about medical personnel in North China (age, usual residence, sex, ethnicity, education, marital status, annual household income, smoking status, alcohol consumption, whether they had received nucleic acid testing for the novel coronavirus and nucleic acid testing results), understanding of new coronavirus pneumonia, understanding of the new vaccine without vaccination, and awareness of the new coronavirus vaccine. The specific survey questions are shown in Appendix.

Survey method

The study from a national multi-center study at Peking Union Medical College, and we only selected the northern China.The questionnaire was designed with reference to the literature and in accordance with the actual situation and was presurveyed after expert discussion. The results of the presurvey showed that the Cronbach’s α coefficient of the full questionnaire was 0.737. The Kaiser–Meyer–Olkin coefficient was 0.925. This indicates that the internal consistency and validity of the questionnaire was good. The questionnaire was revised, refined and finalized after the presurvey. Using the convenience sampling method and online survey, the questionnaire was designed through “Questionnaire Star” software, a two-dimensional code was generated, and the questionnaire was released to the medical staff in North China. The staff voluntarily participated in the online questionnaire survey.

Data analysis

The collected questionnaires were collated for information, and those with missing entries greater than 20% were excluded. SPSS 20.0 software was used to build a database and to statistically analyze indicators such as the proportion willing to be vaccinated. Factors influencing willingness to be vaccinated were first analyzed as independent variables using a 2-test for one-way analysis, and then binary logistic regression analysis was conducted to determine the independent factors. The test level was α = 0.05.

Results

Basic characteristics of the survey respondents

A total of 621 respondents were included, most of whom were women, accounting for 71.5%; Participants aged 18–30, 31–50 and ≥ 51 years accounted for 20.9%, 68.3% and 10.8%, respectively. Most of them lived in cities and towns, accounting for 97.7%, and most had a college degree or bachelor degree or above, accounting for 98.3%. Regarding marital status, most of the participants were married, accounting for 81.3%. The annual income was mostly 100000 yuan or less, accounting for 66.8%. The majority of participants were nonsmokers, accounting for 88.6%; nondrinkers accounted for 84.9%. Most of the participants had been tested for novel coronavirus nucleic acids, accounting for 90.3%. All participants nucleic acid test results were negative. The results are shown in Table 1.
Table 1.

Respondents’ general information

Demographic characteristicsTotal(n = 621)(%)
Age (years)18 ~ 3013020.9
31 ~ 5042468.3
≥516710.8
ResidenceCountryside142.3
Towns60797.7
SexMale17728.5
Female44471.5
EthnicityHan Chinese53486.0
Other8714.0
Education LevelSenior High School and below111.8
Bachelor’s degree or college40965.9
Postgraduate and above20132.4
Marital statusUnmarried9815.8
Married50581.3
Divorced or widowed182.9
Annual household income (yuan)100,000 and below41566.8
110,000-3–50,00019531.4
>350,000111.8
Smoking statusYes7111.4
No55088.6
Drinking statusYes9415.1
No52784.9
Q1Yes56190.3
No609.7
Q2Negative56190.3
Not tested609.7
Positive00.0
Respondents’ general information

Willingness to receive the new coronavirus vaccine

After the launch of the new coronavirus vaccine, the total number of medical staff in North China was 621, of which 532 (85.7%) were willing to receive or make an appointment to receive the new coronavirus vaccine; 89 (14.3%) staff members were unwilling to receive the new coronavirus vaccine.

Factors influencing willingness to be vaccinated

Univariate analysis

Univariate analysis showed that in the questionnaire, respondents were asked to answer questions such as “place of usual residence”; “whether I have been tested for novel coronavirus nucleic acids”; “nucleic acid test results”; “If I get the new coronavirus pneumonia, is it considered a high risk to my health.”; “If I do not get the new coronavirus vaccine, I have a high risk of getting the new coronavirus pneumonia.”; “If I do not get the new coronavirus vaccine, I will always be at risk of getting the new coronavirus pneumonia.”; “If I get the new coronavirus vaccine, my risk of getting the new coronavirus pneumonia will be reduced.”; “If everyone gets the new coronavirus vaccine, the prevalence of new coronavirus pneumonia can be reduced.”; “If I get the new coronavirus vaccine, my risk of getting the new coronavirus pneumonia will be reduced.”; “If I get the novel coronavirus, I may pass it on to family and friends who may contract the novel coronavirus.”; “If I get the novel coronavirus, I have a greater risk of dying.”; “I think getting the novel coronavirus vaccine will prevent the spread of the new coronavirus pneumonia to family members and relatives.”; “I think that vaccination with the new coronavirus vaccine will prevent financial and labor losses due to the new coronavirus.”; “I think the new coronavirus vaccination will instead cause me to the develop the new coronavirus pneumonia.”; “I believe that the outbreak in China is under control, so there is no longer a need for the new coronavirus vaccine.”; “Do you think that the new crown vaccination will prevent the new coronavirus pneumonia (which is a very serious disease)?”; “Do you think it is better to get immunity by having the new coronavirus pneumonia than by getting the new coronavirus vaccine?”; “Do you think it is better to receive as few vaccinations as possible at the same time?”; “I could have serious side effects if I get the vaccine.”; “The new coronavirus vaccine is necessary to protect our health.”; “The new coronavirus vaccine is good for preventing the new coronavirus pneumonia.”; “The new coronavirus vaccine is safe.”; “If I do not get the new coronavirus vaccine, I may get the new coronavirus pneumonia and cause others to contract it.”; “Specifically, for the new coronavirus vaccine, do you think it is necessary to get the new coronavirus vaccine?”; “Specifically, for the new coronavirus vaccine, do you think it is important?”; “Specifically, for the new coronavirus vaccine, do you think it is safe?”; “Specifically, for the new coronavirus vaccine, do you believe that it is effective?”; and “Specifically, for the new coronavirus vaccine, do you find the new coronavirus vaccine easy to administer?.” These were significant factors influencing the survey respondents’ willingness to be vaccinated after the launch of the new coronavirus vaccine (all P values < .05). The results are shown in Tables 2 and 3 . Intentions of survey respondents to receive the new coronavirus vaccine Analysis of vaccine-related perceptions among survey respondents and their willingness to receive the new coronavirus vaccine [n (%)]

Binary logistic regression analysis

With the willingness to receive the new coronavirus vaccine as the dependent variable and the factors influencing the willingness to receive the new coronavirus vaccine as the independent variables (Table 4 for the assignment table).The variables that were significant in the univariate analysis were included in the binary logistic regression analysis, and included the following survey questions: “Do you think it is better to receive as few vaccines as possible at the same time?”; “If I get the new coronavirus vaccine, I may have serious side effects.”; “The new coronavirus vaccine is safe.”; “Specifically, for the new coronavirus vaccine, do you think it is safe?”; and “Specifically, for the new coronavirus vaccine, do you think it is easy to administer?.” They had an important influence on the vaccination of medical staff with the new coronavirus vaccine in Northern China (OR = 1.610,95% CI: 1.055 ~ 2.456; OR = 1.715, 95% CI: 1.164 ~ 2.526; OR = 0.401,95% CI: 0.212 ~ 0.760; OR = 0.352, 95% CI: 0.147 ~ 0.843; OR = 3.688, 95% CI: 1.281 ~ 10.502; All P values < .05). The results are shown in Table 5.
Table 4.

Assignment table for each variable

VariableAssignment
Age (years)1 = 18–30; 2 = 31–50; 3 = ≥51
Residence1 = Countryside; 2 = Towns
Sex1 = Male; 2 = Female
Ethnicity1 = Han Chinese; 2 = Other
Education Level1 = Senior High School and below2 = Bachelor’s degree or college3 = Postgraduate and above
Marriage status1 = Unmarried; 2 = Married3 = Divorced or widowed
Annual household income (yuan)1 = 100,000 and below; 2 = 110,000-350,000; 3 = >350,000
Smoking status1 = Yes; 2 = No
Drinking status1 = Yes; 2 = No
Q11 = Yes; 2 = No
Q21 = Positive; 2 = Negative; 3 = Not tested
Q3-Q41 = Yes; 2 = No
Q5-Q291 = Disagree; 2 = Uncertainty; 3 = Agree
Q301 = Yes; 2 = No
Table 5.

Binary logistic regression models of the factors influencing willingness to receive the new coronavirus vaccine

VariablesβSxWaldχ2P valueOR (95% CI)
Residence−1.0440.7012.215.1370.352 (0.089 ~ 1.392)
Q10.0250.4050.004.9501.026 (0.464 ~ 2.268)
Q40.3690.4180.778.3781.446 (0.637 ~ 3.281)
Awareness of unvaccinated/infected COVID-19:
Q5−0.1170.2370.245.6210.889 (0.559 ~ 1.415)
Q6−0.1220.2240.298.5850.885 (0.571 ~ 1.372)
Q7−0.3570.3241.215.2700.700 (0.371 ~ 1.320)
Q80.3480.3700.883.3471.416 (0.685 ~ 2.925)
Q110.2980.2821.116.2911.347 (0.775 ~ 2.343)
Q12−0.2890.2351.513.2190.749 (0.472 ~ 1.187)
The perceptions of vaccination with the new coronavirus vaccine:
Q13−0.0100.3310.001.9760.990 (0.518 ~ 1.893)
Q14−0.5720.3003.636.0570.564 (0.313 ~ 1.016)
Q150.3310.2451.821.1771.392 (0.861 ~ 2.249)
Q160.0280.2440.013.9101.028 (0.638 ~ 1.657)
Q17−0.1370.2390.330.5660.872 (0.546 ~ 1.393)
Q180.2940.2002.160.1421.342 (0.907 ~ 1.986)
Q190.4760.2164.878.0271.610 (1.055 ~ 2.456)
Q200.5390.1987.455.0061.715 (1.164 ~ 2.526)
Q210.5200.4061.642.2001.682 (0.759 ~ 3.727)
Q220.0310.3920.006.9391.032 (0.479 ~ 2.223)
Q23−0.9140.3267.850.0050.401 (0.212 ~ 0.760)
Q240.2710.2750.966.3261.311 (0.764 ~ 2.249)
Q25−0.5450.4081.780.1820.580 (0.260 ~ 1.291)
Q26−0.4270.5130.691.4060.653 (0.239 ~ 1.784)
Q27−1.0440.4465.493.0190.352 (0.147 ~ 0.843)
Q28−0.4520.4870.861.3530.636 (0.245 ~ 1.653)
Q291.3000.5375.867.0153.688 (1.281 ~ 10.502)
Assignment table for each variable Binary logistic regression models of the factors influencing willingness to receive the new coronavirus vaccine

Discussion

This survey showed that 85.7% of the medical personnel in northern China were willing to receive the new coronavirus vaccine after its launch, which is higher than a survey that investigated willingness to receive the new coronavirus vaccine among the general population in China in May 2020, in which 83.5% were willing to receive the new coronavirus vaccine,[6] which was significantly higher than the following findings. In December 2020, Solís Arce et al. found that an average of 64.6% of individuals were willing to receive the new coronavirus vaccine and only an average of 30.4% were willing to receive the new coronavirus vaccine among the general population in Russia.[7] A survey by Harapan et al. in April 2020 found that 78.3% of individuals in Indonesia were willing for willing to receive the new coronavirus vaccine;[8] a survey by Detoc et al. in April 2020 found that approximately 77.6% of the general population in France definitely or probably agreed to receive the new coronavirus vaccine;[9] and an analysis conducted by Dror et al. in April 2020 of the willingness of the general Australian population to receive the new coronavirus vaccine showed that 85.8% were willing to receive the new coronavirus vaccine, similar to the results of this study.[10] The results suggest that the willingness of medical personnel to be vaccinated is higher in northern China, partly because of the in-depth knowledge of medical personnel about the clinical manifestations of the new coronavirus pneumonia and the data on the development of the new coronavirus vaccine, and partly because of the better results that have been achieved in the prevention of the new coronavirus and the promotion of the use of the new coronavirus vaccine. One of the most important factors influencing vaccination against the new coronavirus is government action. The government and health community should strengthen the positive publicity of the new coronavirus vaccine and correct the negative reports it in a timely manner, and in addition to the traditional media, the government should also make use of the internet to vigorously publicize the positive effects of the new coronavirus vaccine and the relevant data on vaccination through various media channels such as Sina, Google and short video apps to increase the willingness of medical staff to receive the vaccine and to further guide the public’s willingness to receive it. A study of the 2021 U.S. Health Care Workers New Coronavirus Vaccination Survey showed that 57.5% were interested in receiving the new coronavirus vaccine, with 80.4% of this group being physicians and medical scientists, as health care workers are often a reliable source of vaccine information and their vaccination may have a positive impact on the population.[11] This survey also found that the important influencing factors for medical professionals in North China to receive the new coronavirus vaccine were as follows: “Do you think it is better to receive as few vaccines as possible at the same time?”; “If I get the new coronavirus vaccine, I may have serious side effects.”; “The new coronavirus vaccine is safe.”; “Specifically, for the new coronavirus vaccine, do you think it is safe?”; and “Specifically, for the new coronavirus vaccine, do you think the it is easy to administer?.” From this, we can see that the safety of the vaccine and the ease of administration are the main reasons for the willingness of medical staff to receive the vaccine. The safety of the new coronavirus vaccine was the main reason for the high willingness of medical staff to receive the vaccine, and doubts about the safety of the vaccine were consistent with the findings of Sheikh and Karpiński’s study. The main concern about the safety of the vaccine is the unexplained illnesses that occur after vaccination,[12] and Karpiński found that Grimballi syndrome and allergic reactions were common side effects of the vaccine, with Grimballi syndrome being the most serious side effect.[13] The workload of medical staff has increased significantly during the new coronavirus epidemic, and their work is stressful. A retrospective survey analysis showed that the prevalence of anxiety among doctors and nurses was 26.1%;[14] therefore, the convenience and rapidity of vaccination became another major reason for the high willingness of medical staff to be vaccinated. Currently, the new coronavirus epidemic is still a global pandemic, and although the epidemic has been effectively controlled in China, the immunity acquired by the population due to new coronavirus infection is low, and it is important to build a joint immunity barrier against the new coronavirus through vaccination against it.[15] Therefore, the national promotion of new coronavirus vaccination occupies a key position in the prevention and control of the current epidemic. In recent years, there have been numerous questions about the safety and efficacy of vaccines, which have affected public confidence in vaccines for disease prevention.[16,17] Therefore, the establishment of sound vaccine regulatory laws and standardized vaccination practices are key to the effective promotion of the new coronavirus vaccine. This survey has certain limitations. Due to this is a cross-sectional study, bias is inevitable.The study adopted convenience sampling instead of random sampling, which may affect the representativeness of the study sample. The network questionnaire survey was a self-report method, which leads to information bias. With the continuous development of global COVID-19 and the deepening of new coronavirus vaccine research, we need to constantly investigate and study the willingness of medical staff to be vaccinated at different times. In conclusion, the new coronavirus vaccine will be a key public health strategy to reduce the burden of disease caused by COVID-19. Our study provides insights into the acceptability of a new coronavirus vaccine, and the results suggest that health workers in northern China are overwhelmingly willing to be vaccinated. As the vaccine development process continues, the safety and ease of administration of the vaccine will also be greatly enhanced. Click here for additional data file.
Table 2.

Intentions of survey respondents to receive the new coronavirus vaccine

VariablesYes
No
χ2-valueP value
n%n%
Age (years)18 ~ 3011120.91921.32.928.231
31 ~ 5035967.56573.0  
≥516211.755.6  
ResidenceCountryside91.755.65.334.021
Towns52398.38494.4  
SexMale15629.32123.61.227.268
Female37670.76876.4  
EthnicityHan Chinese45685.77887.60.235.628
Other7614.31112.4  
Education LevelSenior High School and below91.722.20.243.886
Bachelor’s degree or college35266.25764.0  
Postgraduate and above17132.13033.7  
Marital statusUnmarried8115.21719.10.989.610
Married43682.06977.5  
Divorced or widowed152.833.4  
Annual household income (yuan)100,000 and below34765.26876.45.282.071
110,000-350,00017432.72123.6  
>350,000112.100.0  
Smoking statusYes6211.7910.10.179.672
No47088.38089.9  
Drinking statusYes8015.01415.70.028.866
No45285.07584.3  
Q1Yes48791.57483.16.157.013
No458.51516.9  
Q2Negative48791.57483.16.157.013
Not tested458.51516.9  
Q3Yes41878.66370.82.646.104
No11421.42629.2  
Q4Yes49092.17584.35.706.017
No427.91415.7  
Table 3.

Analysis of vaccine-related perceptions among survey respondents and their willingness to receive the new coronavirus vaccine [n (%)]

VariablesDisagreeUncertaintyAgreeχ2-valueP value
Awareness of unvaccinated/infected COVID-19:
Q5Yes77 (14.5)165 (31.0)290 (54.5)14.962.001
No21 (23.6)39 (43.8)29 (32.6)  
Q6Yes94 (17.7)153 (28.8)285 (53.6)9.476.009
No22 (24.7)35 (39.3)32 (36.0)  
Q7Yes37 (7.0)95 (17.9)400 (75.2)29.134.000
No13 (14.6)34 (38.2)42 (47.2)  
Q8Yes32 (6.0)81 (15.2)419 (78.8)34.908.000
No8 (9.0)36 (40.4)45 (50.6)  
Q9Yes217 (40.8)239 (44.9)76 (14.3)1.128.569
No31 (34.8)44 (49.4)14 (15.7)  
Q10Yes134 (25.2)206 (38.7)192 (36.1)2.922.232
No19 (21.3)43 (48.3)27 (30.3)  
Q11Yes56 (10.5)94 (17.7)382 (71.8)10.172.006
No14 (15.7)26 (29.2)49 (55.1)  
Q12Yes92 (17.3)135 (25.4)305 (57.3)8.797.012
No22 (24.7)31 (34.8)36 (40.4)  
In the perception of vaccination with the new coronavirus vaccine:
Q13Yes28 (5.3)85 (16.0)419 (78.8)35.236.000
No9 (10.1)36 (40.4)44 (49.4)  
Q14Yes31 (5.8)85 (16.0)416 (78.2)26.955.000
No14 (15.7)28 (31.5)47 (52.8)  
Q15Yes383 (72.0)87 (16.4)62 (11.7)35.405.000
No39 (43.8)38 (42.7)12 (13.5)  
Q16Yes405 (76.1)67 (12.6)60 (11.3)20.318.000
No50 (56.2)27 (30.3)12 (13.5)  
Q17Yes57 (10.7)78 (14.7)397 (74.6)39.888.000
No12 (13.5)37 (41.6)40 (44.9)  
Q18Yes288 (54.1)150 (28.2)94 (17.7)23.867.000
No25 (28.1)46 (51.7)18 (20.2)  
Q19Yes140 (26.3)176 (33.1)216 (40.6)8.004.018
No14 (15.7)42 (47.2)33 (37.1)  
Q20Yes295 (55.5)162 (30.5)75 (14.1)33.519.000
No20 (22.5)45 (50.6)24 (27.0)  
Q21Yes26 (4.9)79 (14.8)427 (80.3)21.500.000
No5 (5.6)31 (34.8)53 (59.6)  
Q22Yes21 (3.9)96 (18.0)415 (78.0)38.317.000
No4 (4.5)42 (47.2)43 (48.3)  
Q23Yes16 (3.0)114 (21.4)402 (75.6)54.058.000
No8 (9.0)48 (53.9)33 (37.1)  
Q24Yes53 (10.0)124 (23.3)355 (66.7)18.033.000
No10 (11.2)39 (43.8)40 (44.9)  
Q25Yes16 (3.0)64 (12.0)452 (85.0)70.433.000
No5 (5.6)42 (47.2)42 (47.2)  
Q26Yes11 (2.1)61 (11.5)460 (86.5)61.197.000
No6 (6.7)37 (41.6)46 (51.7)  
Q27Yes9 (1.7)86 (16.2)437 (82.1)80.506.000
No6 (6.7)49 (55.1)34 (38.2)  
Q28Yes10 (1.9)80 (15.0)442 (83.1)74.496.000
No6 (6.7)46 (51.7)37 (41.6)  
Q29Yes10 (1.9)71 (13.3)451 (84.8)43.182.000
No4 (4.5)36 (40.4)49 (55.1)  
NumberQuestion
Q1Have you been tested for novel coronavirus nucleic acids?
Q2What were the results of your nucleic acid test?
Q3Do you consider COVID-19 to be a major health problem affecting the population?
Q4If you have contracted COVID-19, do you think it was a significant risk to your health?
Q5If I have not received the new coronavirus vaccine, the possibility of contracting new coronavirus pneumonia is high.
Q6If I am not vaccinated against the new coronavirus, I will always be at risk of contracting COVID-19.
Q7If I get the new coronavirus vaccine, my risk of developing the new coronavirus pneumonia is reduced.
Q8The new coronavirus pneumonia epidemic can be reduced if all people are vaccinated against the new coronavirus.
Q9If I get the new coronavirus, I will die.
Q10If I get the new coronavirus, I could die.
Q11If I get the novel coronavirus, I may pass it on to family and friends who may get the new coronavirus.
Q12If I get the novel coronavirus, I am at greater risk of death.
Q13I believe that vaccination against COVID-19 can prevent the spread of COVID-19 to family members and relatives.
Q14I believe that vaccination against the new coronavirus can prevent economic and labor losses due to the new coronavirus pneumonia.
Q15I think the new coronavirus vaccine will cause me to develop COVID-19 instead.
Q16I think the outbreak is under control in China, so there is no need for the new coronavirus vaccine.
Q17Do you think that the new coronavirus vaccine will prevent new coronavirus pneumonia (which is a very serious disease)?
Q18Do you think it is better to get immunity from COVID-19 than from the new coronavirus vaccine?
Q19Do you think the fewer vaccinations you receive at the same time, the better?
Q20I may have serious side effects if I get the new coronavirus vaccine.
Q21The new coronavirus vaccine is necessary to protect our health.
Q22The new coronavirus vaccine provides good protection against the novel coronavirus pneumonia.
Q23The new coronavirus vaccine is safe.
Q24If I am not vaccinated against COVID-19, I may develop COVID-19 and cause others to contract the disease.
Q25Specifically, for the new coronavirus vaccine, do you think it is necessary?
Q26Specifically, in relation to the new coronavirus vaccine, do you think it is important?
Q27Specifically, for the new coronavirus vaccine, do you consider it to be safe?
Q28Specifically, for the new coronavirus vaccine, do you think it is effective?
Q29Specifically, for the new coronavirus vaccine, do you think it is easy to get it?
Q30Would you be willing to receive or make an appointment to receive the new coronavirus vaccine if it becomes available?
  15 in total

1.  Healthcare Personnel (HCP) Attitudes About Coronavirus Disease 2019 (COVID-19) Vaccination After Emergency Use Authorization.

Authors:  Jana Shaw; Samantha Hanley; Telisa Stewart; Daniel A Salmon; Christine Ortiz; Paula M Trief; Elizabeth Asiago Reddy; Christopher P Morley; Stephen J Thomas; Kathryn B Anderson
Journal:  Clin Infect Dis       Date:  2022-08-24       Impact factor: 20.999

2.  Willingness-to-pay for a COVID-19 vaccine and its associated determinants in Indonesia.

Authors:  Harapan Harapan; Abram L Wagner; Amanda Yufika; Wira Winardi; Samsul Anwar; Alex Kurniawan Gan; Abdul M Setiawan; Yogambigai Rajamoorthy; Hizir Sofyan; Trung Quang Vo; Panji Fortuna Hadisoemarto; Ruth Müller; David A Groneberg; Mudatsir Mudatsir
Journal:  Hum Vaccin Immunother       Date:  2020-09-29       Impact factor: 3.452

3.  Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China.

Authors:  Yulan Lin; Zhijian Hu; Qinjian Zhao; Haridah Alias; Mahmoud Danaee; Li Ping Wong
Journal:  PLoS Negl Trop Dis       Date:  2020-12-17

Review 4.  The 2020 race towards SARS-CoV-2 specific vaccines.

Authors:  Tomasz M Karpiński; Marcin Ożarowski; Agnieszka Seremak-Mrozikiewicz; Hubert Wolski; Donald Wlodkowic
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

Review 5.  COVID-19 Vaccination in Developing Nations: Challenges and Opportunities for Innovation.

Authors:  Abu Baker Sheikh; Suman Pal; Nismat Javed; Rahul Shekhar
Journal:  Infect Dis Rep       Date:  2021-05-14

6.  The journey of SARS-CoV-2 in human hosts: a review of immune responses, immunosuppression, and their consequences.

Authors:  Amal F Alshammary; Abdulrahman M Al-Sulaiman
Journal:  Virulence       Date:  2021-12       Impact factor: 5.882

7.  Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic.

Authors:  Maëlle Detoc; Sébastien Bruel; Paul Frappe; Bernard Tardy; Elisabeth Botelho-Nevers; Amandine Gagneux-Brunon
Journal:  Vaccine       Date:  2020-09-17       Impact factor: 3.641

8.  Vaccine hesitancy: the next challenge in the fight against COVID-19.

Authors:  Amiel A Dror; Netanel Eisenbach; Shahar Taiber; Nicole G Morozov; Matti Mizrachi; Asaf Zigron; Samer Srouji; Eyal Sela
Journal:  Eur J Epidemiol       Date:  2020-08-12       Impact factor: 8.082

9.  COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries.

Authors:  Julio S Solís Arce; Shana S Warren; Niccolò F Meriggi; Alexandra Scacco; Nina McMurry; Maarten Voors; Georgiy Syunyaev; Amyn Abdul Malik; Samya Aboutajdine; Opeyemi Adeojo; Deborah Anigo; Alex Armand; Saher Asad; Martin Atyera; Britta Augsburg; Manisha Awasthi; Gloria Eden Ayesiga; Antonella Bancalari; Martina Björkman Nyqvist; Ekaterina Borisova; Constantin Manuel Bosancianu; Magarita Rosa Cabra García; Ali Cheema; Elliott Collins; Filippo Cuccaro; Ahsan Zia Farooqi; Tatheer Fatima; Mattia Fracchia; Mery Len Galindo Soria; Andrea Guariso; Ali Hasanain; Sofía Jaramillo; Sellu Kallon; Anthony Kamwesigye; Arjun Kharel; Sarah Kreps; Madison Levine; Rebecca Littman; Mohammad Malik; Gisele Manirabaruta; Jean Léodomir Habarimana Mfura; Fatoma Momoh; Alberto Mucauque; Imamo Mussa; Jean Aime Nsabimana; Isaac Obara; María Juliana Otálora; Béchir Wendemi Ouédraogo; Touba Bakary Pare; Melina R Platas; Laura Polanco; Javaeria Ashraf Qureshi; Mariam Raheem; Vasudha Ramakrishna; Ismail Rendrá; Taimur Shah; Sarene Eyla Shaked; Jacob N Shapiro; Jakob Svensson; Ahsan Tariq; Achille Mignondo Tchibozo; Hamid Ali Tiwana; Bhartendu Trivedi; Corey Vernot; Pedro C Vicente; Laurin B Weissinger; Basit Zafar; Baobao Zhang; Dean Karlan; Michael Callen; Matthieu Teachout; Macartan Humphreys; Ahmed Mushfiq Mobarak; Saad B Omer
Journal:  Nat Med       Date:  2021-07-16       Impact factor: 87.241

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

Authors:  Nesrine Mejri; Yosra Berrazega; Emna Ouertani; Haifa Rachdi; Mariem Bohli; Lotfi Kochbati; Hamouda Boussen
Journal:  Support Care Cancer       Date:  2021-07-19       Impact factor: 3.603

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1.  COVID-19 vaccine acceptance among healthcare workers in China: A systematic review and meta-analysis.

Authors:  Xiaoling Shui; Fang Wang; Ling Li; Qian Liang
Journal:  PLoS One       Date:  2022-08-12       Impact factor: 3.752

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