Abstract
Background:
In the initial coronavirus disease 2019 (COVID-19) vaccination program, prioritizing population groups is inevitable due to limited supply. Currently, most of the allocation strategies are focused on individuals’ characteristics.Objectives:
The present study aimed to assess the opinions of Iranian population in specifying high-priority individuals and groups for COVID-19 vaccination.Methods:
An online survey was conducted using some popular social media in Iran. The data was collected from Iranian population (878 individuals) aged 18 years and older during the COVID-19 pandemic (2 - 20 May 2020) to investigate their opinions towards vaccine allocation strategies at the family and society levels. In vaccine prioritizing within family three option and in vaccine prioritizing within society, seven population groups were introduced by the respondents in a random order, respectively. To analyze the data, mean rank and univariate analysis was used.Results:
Healthcare workers, high-risk patients, and the elderly were the first priority groups for a vaccination with a mean rank of 2.8, 2.8, and 3.8, respectively. The least priority group was policymakers and executive managers (mean rank = 5.75). At the family level, 64% of the respondents introduced one of the family members as the first priority for vaccination, followed by their children (29%) and themselves (7%). No significant relationship was observed between respondents’ characteristics and their prioritization in vaccine prioritizing within society.Conclusions:
Although involving public preference in decision-making is a key factor for the success of policies, careful design and implementation of vaccination programs through considering risk-benefit assessment is strongly recommended.Keywords
1. Background
The world is in the midst of coronavirus disease 2019 (COVID-19) pandemic (1). The first COVID-19 vaccines were delivered in the last months of 2020, and planning for mass delivery was already well underway in early 2021 (2). The development of efficient vaccines is indubitably a scientific and public health milestone which will dramatically alter the course of the current pandemic and become a critical tool in the fight against COVID-19 (3, 4). Nevertheless, the supplies of the first series of authorized vaccine(s) will be limited in the short- and mid-term, thus raising another important challenge, i.e., how to best manage now that a vaccine is available (5). The decision to prioritize a population group in order to create earlier access to the vaccine is not easy at all, and scientific evidence, ethical considerations, and issues of deliverability in vaccine implementation need to be taken into consideration (1, 6).
For health policymakers at both national and international levels and also in light of ethical and scientific principles, different recommendations from advisory committees were proposed for prioritizing population groups (7). The World Health Organization (WHO) Strategic Advisory Group of Experts on Immunization (SAGE) provides a value framework for COVID-19 vaccine allocation among countries and prioritization within each country, particularly when the supply is insufficient. According to this framework, the first step is the identification of target populations (7). The majority of vaccine allocation strategies which are currently in the pipeline by policy institutions (7-9) and experts (2, 10, 11) focus on individuals’ characteristics (12). For instance, the UK Joint Committee on Vaccination and Immunization (JCVI) advised direct protection of individuals who are most at risk from coronavirus as the best option to prevent the disease in the first phase of COVID-19 vaccination (13).
Apart from policymakers’ guidance and advice, a study in Belgium investigated the public preferences regarding the distribution of a scarce COVID-19 vaccine (14). Among eight alternative strategies for distributing COVID-19 vaccines, three were ranked the highest by 20% - 30% of the respondents, including essential workers, the chronically ill, and older people (14).
It is worth mentioning that the final vaccination strategy needs to be determined considering multiple factors, including the vaccine characteristics and its supply, the benefit-risk assessment of the target population, and the epidemiologic, clinical, and socioeconomic impacts of the pandemic (7). The most important phase after the policy formulation is policy implementation (7). For the success of this process, it is important that these policies be rendered sufficient levels of public support (14). In this regard, the existing evidence suggests that there is an association between public involvement in health policymaking and performance of health systems (15). In this way, active public participation in policymaking was emphasized in Health 2020, which would ensure that individuals and communities shape decisions affecting their health and well-being; furthermore, the process also creates supportive environments and resilient communities (7). However, the incorporating public opinions in decision making is a challenging issue, and evidence revealed that many countries fail to implement the policies (15). Therefore, in response to this problem, some guidelines and procedures to engage the public in priority setting were developed by countries such as Sweden, Norway, and England (15-17). We believe that priority setting on COVID-19 vaccination is one of such policies requiring public support to increase its success (15). Accordingly, at the national level, Iran’s National Vaccination Framework approved in January 2021 outlined the vaccination phases, which were developed through considering scientific evidence, priorities in other countries, specialized committees’ advice on disease burden, and also prevalence of high-risk diseases in the country (18).
2. Objectives
Hence, this study aimed to provide information on public preference regarding COVID-19 vaccination through eliciting public opinion towards the highest priorities for initial vaccination at family and society levels.
3. Methods
The present study aimed to assess the opinions of Iranian population in specifying high-priority individuals and groups for COVID-19 vaccination. To this end, the survey was conducted via an online questionnaire, whose link was posted on popular and widely used social media in Iran including Telegram and WhatsApp. The data was collected from Iranian people aged over 18 who had access to Internet in the period of 2 - 20 May 2020. Random sampling method was used to send the link to the survey questionnaire. However, since the respondents were asked to participate in the study voluntarily and, if they wished, to send the link to their acquaintances, the link of the questionnaire was rotated using the snowball method.
The primary questionnaire was presented to a panel of four health economists in academic setting to assess the face validity and content validity of the questionnaire.
The survey included two main parts including:
Demographic and socioeconomic data (age, education, gender, work in the health sector, monthly income, family size, the number of people above 60 and under 10 years in the family, history of chronic diseases, and the exposure risk of family members);
Two closed-ended questions to elicit sample opinions regarding the COVID-19 vaccines allocation. The first question was about the participants’ opinions regarding prioritizing vaccine allocation to their family, as follows:
“If there is a limited supply of vaccines and only one person in your family could be vaccinated, who is your first priority?”
There were three options: myself, one of my family members (spouse, father, mother, sister, or brother), or my child.
The other question elicited the respondents’ opinions on prioritizing the population in society for COVID-19 vaccination:
“If the government decides to provide the COVID-19 vaccine for free, and if the vaccine is expensive and limited in number, prioritization should be given due to limited resources. In your opinion, which groups should have the highest priority for vaccination?
The options presented to respondents in random order included the following seven population groups: healthcare workers including doctors, nurses, etc.; high-risk patients such as individuals with chronic diseases; the elderly; children; disadvantaged individuals (individuals living in a low economic, sanitation, and hygiene level); essential workers outside the health sector (i.e. individuals working in personnel needed sectors to maintain essential services and products); and key policymakers and executive managers.
The survey was anonymous, and respondents participated voluntarily. The participants could respond using a personal computer/laptop, tablet, or smartphone, and the data were collected when no COVID-19 vaccine had been introduced throughout the world. The data analysis was conducted using SPSS software version 25 with the descriptive statistics summarized as percentages, means, and mean rank. A univariate regression was used to determine the relationships among the survey questions on priority setting within society and family and key variables including respondents’ virus exposure risk, family members’ virus exposure risk, history of chronic diseases, having family members aged above 60 and/or under 10 years old. The P-values ≤ 0.05 were considered as statistically significant.
4. Results
The survey results on most prioritized individuals at the initial COVID-19 vaccination phase were presented in three sections, including sample characteristics, vaccine prioritizing within families and affecting factors, and vaccine prioritizing in society and affecting factors.
4.1. Sample Characteristics
Table 1 shows the sample characteristics. In total, 878 individuals aged 18 - 78 (mean age: 34 years) completed the survey. Approximately 70% of respondents had a university degree. Moreover, 12% of the respondents and 50% of the family members had a history of chronic diseases. Furthermore, 40% had a child under 10 years old, and almost 10% reported having aged family members.
Characteristics of Respondents
Characteristics | No. (%) |
---|---|
Total | 878 (100) |
Gender | |
Female | 676 (77) |
Male | 195 (22) |
Missing | 7 (1) |
Age | |
Range | 18-78 |
Mean ± SD | 34 ± 9.4 |
Education | |
Elementary | 34 (4) |
Diploma | 223 (25) |
University degree | 613 (70) |
Missing | 8 (1) |
Income level | |
No income | 145 (17) |
Less than US $118 | 201 (23) |
Between US $118- 294 | 318 (36) |
Between US $294 - 588 | 119 (13) |
More than US $588 | 29 (3) |
Missing | 66 (8) |
Family size | |
1 - 2 | 186 (21) |
3 - 5 | 629 (72) |
> 6 | 57 (7) |
History of chronic disease | |
Themselves | 49 (6) |
Family members | 362 (41) |
Both | 48 (6) |
None | 419 (47) |
Having a family member | |
> 60 years old | 90 (10) |
< 10 years old | 350 (40) |
4.2. Vaccine Prioritizing Within the Family
As is shown in Table 2, only 7% of the respondents indicated themselves as the first priority. For 64% of the respondents, a family member was the first priority for vaccination while one’s child held the second rank (29%).
Respondents’ Views on the First Priority for Vaccination within the Family
Priority | Frequency | Relative Frequency, % |
---|---|---|
Myself | 58 | 7 |
A family member | 518 | 64 |
My child | 235 | 29 |
Total | 811 | 100 |
The key variables, including household size, having a family member aged above 60 and/or a child under 10 years old, and family members’ exposure risk were investigated with respect to the priorities in the family. Table 3 shows the results of univariate analysis of priorities within the family. As shown, having a family member aged over 60 years and the respondents’ exposure risk were significantly associated with choosing another family member as the first priority.
Factors Affecting the First Priority Individual within the Respondent’s Family
Priority | Myself (%) | A Family Member (%) | My Child (%) | P-Value |
---|---|---|---|---|
Household size | 0.836 | |||
1 - 2 | 11 (6.4) | 54 (31.6) | 106 (62.0) | |
3 | 15 (6.0) | 67 (27.0) | 166 (66.9) | |
4 | 21 (8.70 | 71 (29.5) | 149 (61.8) | |
> 5 | 11 (7.7) | 41 (28.7) | 91 (63.6) | |
Having a family member aged above 60 years | < 0.001 | |||
No | 39 (6.8) | 200 (34.9) | 334 (58.3) | |
Yes | 19 (8.0) | 35 (14.7) | 184 (77.3) | |
Having a child under 10 years | 0.076 | |||
No | 40 (8.2) | 128 (26.4) | 317 (65.4) | |
Yes | 17 (5.3) | 104 (32.5) | 199 (62.2) | |
Respondents’ virus exposure risk | 0.012 | |||
Low | 18 (8.7) | 61 (29.6) | 127 (61.7) | |
Moderate | 16 (4.6) | 115 (32.8) | 220 (62.7) | |
Sever | 22 (9.3) | 59 (24.9) | 156 (65.8) | |
Exposure to COVID-19 | 2 (11.8) | 0 (0.0) | 15 (88.2) | |
Family members’ virus exposure risk | 0.185 | |||
Low | 13 (7.0) | 52 (28.0) | 121 (65.1) | |
Moderate | 26 (8.1) | 109 (34.0) | 186 (57.9) | |
Sever | 17 (6.3) | 66 (24.4) | 188 (69.4) | |
Exposure to and dead of COVID-19 | 2 (6.5) | 8 (25.8) | 21 (67.7) |
4.3. Vaccine Prioritizing Within the Society
As Table 4 shows and according to the mean rank, healthcare workers and high-risk patients comprised the first priorities with the mean rank of 2.8, followed by older people with a mean rank of 3.8.
The least priority belonged to individuals working as policymakers and executive mangers.
Respondents’ Views Regarding Priority Groups within the Society
Priority | Population Group | ||||||
---|---|---|---|---|---|---|---|
Healthcare Workers | High-Risk Patients | Older People | Children | Disadvantaged Individuals | Essential Workers | Key Policymakers and Executives | |
1 | 276 | 234 | 93 | 118 | 74 | 38 | 39 |
2 | 187 | 241 | 141 | 103 | 92 | 63 | 45 |
3 | 121 | 145 | 183 | 155 | 121 | 110 | 37 |
4 | 113 | 85 | 154 | 140 | 173 | 143 | 64 |
5 | 83 | 70 | 124 | 128 | 206 | 170 | 91 |
6 | 61 | 52 | 95 | 140 | 147 | 268 | 109 |
7 | 31 | 45 | 82 | 88 | 59 | 80 | 487 |
Total | 872 | 872 | 872 | 872 | 872 | 872 | 872 |
Mean rank | 2.8 | 2.8 | 3.8 | 3.9 | 4.2 | 4.7 | 5.7 |
In the univariate analysis, the key variables including coronavirus risk, respondents and family members’ virus exposure risk, history of chronic diseases, and having a family member aged above 60 and/or a child under 10 years were investigated with respect to the first three priorities. No significant relationship was observed among these variables and the respondents’ priorities (Table 5).
Factors Affecting the Respondents’ First Three Priority Groups
Priority | Healthcare Workers, No. (%) | P-Value | High-Risk Patients, No. (%) | P-Value | Elderly, No. (%) | P-Value | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
High | Moderate | Low | High | Moderate | Low | High | Moderate | Low | ||||
COVID-19 risk | 0.112 | 0.78 | 0.234 | |||||||||
Low | 22 (66.7) | 11 (33.3) | 0 (0.0) | 21 (63.6) | 8 (24.2) | 8 (12.1) | 7 (21.2) | 18 (54.5) | 8 (24.2) | |||
Moderate | 109 (54.2) | 76 (37.8) | 16 (8.0) | 111 (55.2) | 69 (34.3) | 21 (10.4) | 56 (27.9) | 95 (47.3) | 50 (24.9) | |||
High | 330 (51.9) | 230 (36.2) | 76 (11.9) | 342 (53.8) | 222 (34.9) | 72 (11.3) | 171 (26.9) | 348 (54.7) | 117 (18.4) | |||
Respondents’ virus exposure risk | 0.458 | 0.245 | 0.545 | |||||||||
Low | 131 (56.7) | 77 (33.3) | 23 (10.0) | 129 (55.8) | 84 (36.4) | 18 (7.8) | 57 (24.7) | 133 (57.6) | 41 (17.7) | |||
Moderate | 189 (51.2) | 135 (36.6) | 45 (12.2) | 207 (56.1) | 95 ((35.2) | 42 (11.4) | 103 (27.9) | 186 (50.4) | 80 (21.7) | |||
High | 141 (52.2) | 105 (38.69) | 24 (8.9) | 138 (51.1) | 95 (35.2) | 37 (13.7) | 74 (27.4) | 142 (52.6) | 54 (20.0) | |||
Family members’ virus risk exposure | 0.704 | 0.478 | 0.271 | |||||||||
Low | 114 (55.3) | 73 (35.4) | 19 (9.20) | 114 (55.3) | 73 (35.4) | 19 (9.2) | 53 (25.7) | 108 (52.4) | 45 (21.8) | |||
Moderate | 186 (54.4) | 119 (34.8) | 37 (10.8) | 190 (55.6) | 118 (34.5) | 34 (9.9) | 82 (24.0) | 186 (54.4) | 74 (21.6) | |||
High | 160 (50.0) | 124 (38.8) | 36 (11.3) | 168 (52.5) | 108 (33.8) | 44 (13.8) | 99 (30.9) | 165 (51.6) | 56 (17.5) | |||
Having a family member aged over 60 years | 0.359 | 0.915 | 0.94 | |||||||||
No | 313 (51.3) | 233 (38.2) | 64 (10.5) | 334 (54.8) | 207 (33.69) | 69 (11.3) | 163 (26.7) | 325 (53.3) | 122 (20.0) | |||
Yes | 142 (55.9) | 84 (33.1) | 28 (11.0) | 136 (53.5) | 90 (35.4) | 28 (11.0) | 70 (27.6) | 132 (52.0) | 52 (20.5) | |||
Having a child under 10 years | 0.37 | 0.519 | ||||||||||
No | 283 (54.6) | 185 (35.7) | 50 (9.7) | 286 (55.2) | 179 (34.6) | 53 (10.2) | 149 (28.8) | 275 (53.1) | 94 (18.1) | 0.133 | ||
Yes | 175 (50.6) | 129 (37.3) | 42 (12.1) | 184 (53.2) | 118 (34.1) | 44 (12.7) | 83 (24.0) | 184 (53.2) | 79 (22.8) | |||
History of chronic diseases | 0.503 | 0.456 | ||||||||||
Self | 63 (59.4) | 33 (31.1) | 10 (9.4) | 64 (60.4) | 31 (29.2) | 11 (10.4) | 22 (20.8) | 66 (62.3) | 18 (17.0) | 0.131 | ||
Family | 200 (50.1) | 154 (38.6) | 45 (11.3) | 219 (54.9) | 141 (35.3) | 39 (9.8) | 105 (26.3) | 203 (50.9) | 91 (22.8) | |||
No | 198 (54.2) | 130 (35.6) | 37 (10.1) | 191 (52.3) | 127 (34.78) | 47 (12.9) | 107 (29.3) | 192 (52.6) | 66 (18.1) |
5. Discussion
In response to the COVID-19 crisis, there was a rapid surge in vaccine development. As a result, some vaccines have been approved and authorized for emergency or limited use, and vaccination has thus been initiated. However, the current vaccine supply is constrained with vaccine prioritization, while increasing public health outcomes is a critical policy challenge (2).
To this end, the present study evaluated Iran’s public opinion on vaccine prioritization within family and society levels in the limited supply phase. Accordingly, the respondents ranked seven population groups from the most to least priority. The mean rank for the groups showed that healthcare professionals, patients with high risk of infection, and older people were identified as the most prioritized groups for vaccination, respectively (mean rank 2.8, 2.8, and 3.8, respectively). Policymakers and executives had the least priority (mean rank: 5.8). Moreover, the respondents ranked themselves as the least priority compared to other family members or children; this indicates the high degree of altruistic values within the Iranian culture.
Based on Emanuel et al. (19), allocation of resources in pandemics converge on four fundamental values: maximizing the benefits produced by scarce resources, treating people equally, promoting and rewarding instrumental value (benefit to others), and giving priority to the worst-off (sickest first; youngest first); these values could be revised depending on the type of the scarce resources and context at issue (20). The results of this study are in line with promoting and rewarding instrumental value and prioritizing the worst-off criteria for fair allocation of scarce medical resources.
In line with the results, Dooling (2020) raised that in the first level of COVID-19, vaccination priority must be allocated to healthcare employees, people who have high health risks, old people, and essential workers to provide services to people (21). In contrast, Bubar et al. (22) claimed that to reduce the cumulative infection, priority should be given for adults aged between 20 and 49 years, and to reduce the mortality rate, priority should be given for adults over the age of 60 years.
Regarding the factors influencing the public opinion, no significant relationship was seen among the respondents’ characteristics and their priorities in the society. For prioritizing vaccine within family members, having a family member aged above 60 years and respondents' exposure risk are significantly associated with choosing another family member.
The finding on this priority setting may assist health policymakers to set priority groups for initial vaccination; however, it should be noted that public preference is a rather complementary evidence, since the health outcome and side effects of vaccines may not be included in their ranking. The vaccination program should carefully incorporate the public opinions in design and implementation. One essential step is conducting a risk-benefit assessment by estimating the potential risk of morbidity and mortality due to vaccination compared to its potential benefits (23). Priority groups for vaccination may change over time based on post-authorization vaccine safety monitoring. For instance, the current COVID-19 vaccines have been authorized only for emergency use during this public health emergency; but there are, of course, disadvantages due to inadequate information on vaccine safety among vaccinated individuals, including serious clinically adverse events, deaths, and hospitalizations. As an example, older individuals in Norway were the first to be vaccinated in large populations (24). Due to the 23 deaths of these vaccinated patients, the COVID-19 vaccination guide was updated by the Norwegian Institute of Public Health, and more detailed advice on evaluating the benefits of vaccination vis-a-vis its risks of potential side effects was included.
In Iran, although the vaccination of the elderly has not yet begun, according to Iran’s National vaccination framework, vaccination of older people is in the second phase (age groups: 80 - 85, 75 - 80, 70 - 75, 65 - 70). This indicated the congruence of the policymaker perspective and public opinion. Older people are the priority; however, considering Norway’s experience, it seems the risk-benefit assessment is highly crucial.
In total, in the case of contrast between public opinions and health-policy makers toward high priorities for COVID-19 vaccination, informing the public about the potential risks and benefits and also the government limitations is strongly recommended. This mutual communication among public and policymakers could guarantee public advocacy in the vaccination program.
5.1. Limitations
The current study was conducted before vaccine discovery. It is possible that the side effects of vaccines may affect the prioritizing groups for vaccination. The second limitation is that the current study may not be a representative of all population groups since not all individuals (e.g., illiterate individuals, disadvantaged people, some elderly people, etc.) have access to mobiles, laptops, and the Internet. Therefore, different data collection strategies should be implemented to ensure that all population groups are included.
5.2. Conclusions
This study revealed the public opinion of Iranian population regarding priority groups for vaccination when the vaccine supply is limited. Healthcare workers, patients with high risk of infection, and older people were the most prioritized groups for vaccination. Within family, another family member or children were introduced as the first priority. Involving public preference in decision-making was considered as a key factor in policy success. Nonetheless, careful design and implementation of a vaccination program and informing public on potential risks and benefits related to their priorities are strongly recommended.
References
-
1.
Liu Y, Salwi S, Drolet BC. Multivalue ethical framework for fair global allocation of a COVID-19 vaccine. J Med Ethics. 2020;46(8):499-501. [PubMed ID: 32532826]. [PubMed Central ID: PMC7316117]. https://doi.org/10.1136/medethics-2020-106516.
-
2.
Buckner JH, Chowell G, Springborn MR. Optimal Dynamic Prioritization of Scarce COVID-19 Vaccines. medRxiv. 2020. [PubMed ID: 32995816]. [PubMed Central ID: PMC7523157]. https://doi.org/10.1101/2020.09.22.20199174.
-
3.
Haynes BF, Corey L, Fernandes P, Gilbert PB, Hotez PJ, Rao S, et al. Prospects for a safe COVID-19 vaccine. Sci Transl Med. 2020;12(568). [PubMed ID: 33077678]. https://doi.org/10.1126/scitranslmed.abe0948.
-
4.
Sharma O, Sultan AA, Ding H, Triggle CR. A Review of the Progress and Challenges of Developing a Vaccine for COVID-19. Front Immunol. 2020;11:585354. [PubMed ID: 33163000]. [PubMed Central ID: PMC7591699]. https://doi.org/10.3389/fimmu.2020.585354.
-
5.
Fishman J. The Advisory Committee on Immunization Practices' ethical principles for allocating initial supplies of COVID-19 vaccine - United States, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(47):1782-6. [PubMed ID: 33237895]. [PubMed Central ID: PMC7727606]. https://doi.org/10.15585/mmwr.mm6947e3.
-
6.
Schaefer GO, Tam CC, Savulescu J, Voo TC. COVID-19 vaccine development: Time to consider SARS-CoV-2 challenge studies? Vaccine. 2020;38(33):5085-8. [PubMed ID: 32540271]. [PubMed Central ID: PMC7269942]. https://doi.org/10.1016/j.vaccine.2020.06.007.
-
7.
World Health Organization. WHO SAGE Values Framework for the Allocation and Prioritization of COVID-19 Vaccination. 2020. Available from: https://apps.who.int/iris/bitstream/handle/10665/334299/WHO-2019-nCoV-SAGE_Framework-Allocation_and_prioritization-2020.1-eng.pdf?ua=1.
-
8.
Flanagan KL, Best E, Crawford NW, Giles M, Koirala A, Macartney K, et al. Progress and Pitfalls in the Quest for Effective SARS-CoV-2 (COVID-19) Vaccines. Front Immunol. 2020;11:579250. [PubMed ID: 33123165]. [PubMed Central ID: PMC7566192]. https://doi.org/10.3389/fimmu.2020.579250.
-
9.
National Academies of Sciences. Framework for equitable allocation of COVID-19 vaccine. Natl Acad Press; 2020.
-
10.
Persad G, Peek ME, Emanuel EJ. Fairly Prioritizing Groups for Access to COVID-19 Vaccines. JAMA. 2020;324(16):1601-2. [PubMed ID: 32910182]. https://doi.org/10.1001/jama.2020.18513.
-
11.
Wang K, Wong ELY, Ho KF, Cheung AWL, Chan EYY, Yeoh EK, et al. Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey. Vaccine. 2020;38(45):7049-56. [PubMed ID: 32980199]. [PubMed Central ID: PMC7834255]. https://doi.org/10.1016/j.vaccine.2020.09.021.
-
12.
Izda V, Jeffries MA, Sawalha AH. COVID-19: A review of therapeutic strategies and vaccine candidates. Clin Immunol. 2021;222:108634. [PubMed ID: 33217545]. [PubMed Central ID: PMC7670907]. https://doi.org/10.1016/j.clim.2020.108634.
-
13.
United Kingdom National Health Service. Joint Committee on Vaccination and Immunisation: advice on priority groups for COVID-19 vaccination. Code Pract; 2020. Available from: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/224864/JCVI_Code_of_Practice_revision_2013_-_final.pdf.
-
14.
Jeroen L, Roselinde Kessels ST. Public preferences for prioritising a COVID-19 vaccine. 2020.
-
15.
Farmakas A, Theodorou M, Galanis P, Karayiannis G, Ghobrial S, Polyzos N, et al. Public engagement in setting healthcare priorities: a ranking exercise in Cyprus. Cost Eff Resour Alloc. 2017;15:16. [PubMed ID: 28808427]. [PubMed Central ID: PMC5551077]. https://doi.org/10.1186/s12962-017-0078-3.
-
16.
Defechereux T, Paolucci F, Mirelman A, Youngkong S, Botten G, Hagen TP, et al. Health care priority setting in Norway a multicriteria decision analysis. BMC Health Serv Res. 2012;12:39. [PubMed ID: 22335815]. [PubMed Central ID: PMC3312861]. https://doi.org/10.1186/1472-6963-12-39.
-
17.
Winkelhage J, Diederich A. The relevance of personal characteristics in allocating health care resources-controversial preferences of laypersons with different educational backgrounds. Int J Environ Res Public Health. 2012;9(1):223-43. [PubMed ID: 22470289]. [PubMed Central ID: PMC3315072]. https://doi.org/10.3390/ijerph9010223.
-
18.
Ministry of Health and edical Education. Iran's National Vaccination Framework. Infectious Disease Management Center. Management of Vaccine-Preventable Diseases. 2021.
-
19.
Emanuel EJ, Persad G, Upshur R, Thome B, Parker M, Glickman A, et al. Fair Allocation of Scarce Medical Resources in the Time of Covid-19. N Engl J Med. 2020;382(21):2049-55. [PubMed ID: 32202722]. https://doi.org/10.1056/NEJMsb2005114.
-
20.
Satomi E, Souza PMR, Thome BDC, Reingenheim C, Werebe E, Troster EJ, et al. Fair allocation of scarce medical resources during COVID-19 pandemic: ethical considerations. Einstein (Sao Paulo). 2020;18:eAE5775. [PubMed ID: 32374801]. [PubMed Central ID: PMC7186000]. https://doi.org/10.31744/einstein_journal/2020AE5775.
-
21.
Hezam IM, Nayeem MK, Foul A, Alrasheedi AF. COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups. Results Phys. 2021;20:103654. [PubMed ID: 33520620]. [PubMed Central ID: PMC7832528]. https://doi.org/10.1016/j.rinp.2020.103654.
-
22.
Bubar KM, Reinholt K, Kissler SM, Lipsitch M, Cobey S, Grad YH, et al. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus. medRxiv. 2020. [PubMed ID: 33330882]. [PubMed Central ID: PMC7743091]. https://doi.org/10.1101/2020.09.08.20190629.
-
23.
World Health Organization. Framework for decision-making: Implementation of mass vaccination campaigns in the context of COVID-19. Geneva, Switzerland: WHO; 2020.
-
24.
NIPH. International interest about deaths following coronavirus vaccination. 2021. Available from: https://www.fhi.no/en/news/2021/international-interest-about-deaths-following-coronavirus-vaccination/.