COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups

Hezam, Ibrahim M.; Nayeem, Moddassir Khan; Foul, Abdelaziz; Alrasheedi, Adel Fahad

doi:10.1016/j.rinp.2020.103654

Cited by 71 publications

(70 citation statements)

References 10 publications

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“…In line with the results, Dooling (2020) raised that in the first level of COVID-19, vaccination priority must be al-located 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.…”

Section: Discussionmentioning

confidence: 95%

Public Views on Priority Groups for COVID-19 Vaccination: A Survey from Iran

et al. 2021

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Background: In the initial coronavirus disease 2019 (COVID-19) vaccination program, prioritizing vulnerable 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.

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Section: Discussionmentioning

confidence: 95%

Public Views on Priority Groups for COVID-19 Vaccination: A Survey from Iran

et al. 2021

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“…The policy approach is based on monotonous declines over time for quarantine, social separation, and monotonic increases for both the number of COVID-19 tests and the number of CWTs for water purification. Pyomo optimization modelling in Python was used to solve the optimal control model (16)- (21). The orthogonal collocation method is again used to discretize the dynamic differential equations system (1)-(15) taking into consideration the time domain which consists of weekly finite elements.…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…The model aimed at minimizing social and economic costs so as to maintain the size of the epidemic below its specific peak value. Also, the authors in [18][19][20][21] presented interesting mathematical models that discussed controlling the spread of COVID-19 and allocation of COVID-19 vaccines to priority groups using the MCDM approach. Besides, several studies have provided mathematical analyses of other infectious diseases such as TB [22][23][24], Ebola [25], HBV [26], HIV [27], Lassa hemorrhagic fever [28], dengue [29], etc.…”

Section: Introductionmentioning

confidence: 99%

A dynamic optimal control model for COVID-19 and cholera co-infection in Yemen

2021

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In this work, we propose a new dynamic mathematical model framework governed by a system of differential equations that integrates both COVID-19 and cholera outbreaks. The estimations of the model parameters are based on the outbreaks of COVID-19 and cholera in Yemen from January 1, 2020 to May 30, 2020. Moreover, we present an optimal control model for minimizing both the number of infected people and the cost associated with each control. Four preventive measures are to be taken to control the outbreaks: social distancing, lockdown, the number of tests, and the number of chlorine water tablets (CWTs). Under the current conditions and resources available in Yemen, various policies are simulated to evaluate the optimal policy. The results obtained confirm that the policy of providing resources for the distribution of CWTs, providing sufficient resources for testing with an average social distancing, and quarantining of infected individuals has significant effects on flattening the epidemic curves.

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“…The MABAC and the EDAS methods are described by Peng et al [13], and these methods are validated with some numerical illustrations. Ibrahim M. Hezam et al [14] suggested the prioritization structure of the COVID-19 vaccine for the frontline members with the help of the MCDM approach. In MCDM, by using the Neutrosophic TOPSIS method, the decision matrix was defuzzified on account of four main criteria and fifteen subcriteria.…”

Section: Literature Reviewmentioning

confidence: 99%

The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment

et al. 2021

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Extensive decision-making during the vaccine preparation period is unpredictable. An account of the severity of the disease, the younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk of the COVID-19 pandemic. In this research article, the preference ranking structure for the COVID-19 vaccine is recommended for young people who have been exposed to the effects of certain chronic diseases. Multiple Criteria Decision-Making (MCDM) approach effectively handles this vague information. Furthermore, with the support of the Intuitionistic Fuzzy Soft Set (IFSS), the entries under the new extension of the Preference Ranking Organization Method for Enrichment Evaluation-II (PROMETHEE-II) is suggested for Preference Ranking Structure. The concept of intuitionistic fuzzy soft sets is parametric in nature. IFSS suggests how to exploit an intuitionistic ambiguous input from a decision-maker to make up for any shortcomings in the information provided by the decider. The weight of the inputs is calculated under the Intuitionistic Fuzzy Weighted Average (IFWA) operator, the Simply Weighted Intuitionistic Fuzzy Average (SWIFA) operator, and the Simply Intuitionistic Fuzzy Average (SIFA) operator. An Extended PROMETHEE-based ranking, outranking approach is used, and the resultant are recommended under the lexicographic order. Its sustainability and feasibility are explored for three distinct priority structures and the possibilities of the approach. To demonstrate the all-encompassing intuitionistic fuzzy PROMETHEE approach, a practical application regarding COVID-19 severity in patients is given, and then it is compared to other existing approaches to further explain its feasibility, and the sensitivity of the preference structure is examined according to the criteria.

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COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups

Cited by 71 publications

References 10 publications

Public Views on Priority Groups for COVID-19 Vaccination: A Survey from Iran

Public Views on Priority Groups for COVID-19 Vaccination: A Survey from Iran

A dynamic optimal control model for COVID-19 and cholera co-infection in Yemen

The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment

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