دوماهنامه علمی پژوهشی

Spatial Prioritization Model of COVID-19 Vaccine Allocation in Neighborhoods of Mashhad Using AHP and Fuzzy Logic
Reyhane Jalali (M.Sc.)¹, Hossein Etemadfard (Ph.D.)², Hamed Kharaghani (M.Sc.)³, Rouzbeh Shad (Ph.D.)⁴, Vahid Sadeghi (Ph.D.)⁵
1. M.Sc. Student of GIS, Civil Engineering department, Engineering faculty, Ferdowsi University of Mashhad, Mashhad, Iran
2. Corresponding Author: Assistant Professor, Civil Engineering department, Engineering faculty, Ferdowsi University of Mashhad, Mashhad, Iran. Email: etemadfard@um.ac.ir          Tel: 051-38805443
3. M.Sc. Student of GIS, Civil Engineering department, Engineering faculty, Ferdowsi University of Mashhad, Mashhad, Iran
4. Associate Professor, Civil Engineering department, Engineering faculty, Ferdowsi University of Mashhad, Mashhad, Iran
5. Assistant Professor, Surveying and Geomatics Engineering department, Civil Engineering faculty, University of Tabriz, Tabriz, Iran.
Abstract
Introduction: With the global outbreak of the COVID-19 and the high mortality rate of this disease, indicates the decision-making and finding a solution to control its spread. One of the most effective ways is to use the COVID-19 vaccine. Due to the limited supply of corona vaccines, the distribution of this vaccine is generally prioritized and is done allocation among individuals.
Methods: In this descriptive correlational study, GIS, AHP tools, and fuzzy logic were used to achieve the goal of prioritizing and allocating corona vaccine in Mashhad neighborhoods. Neighborhoods prioritization in four scenarios was analyzed; Includes scenario AHP, scenario the WHO guideline, scenario guideline of the Ministry of Health and Medical Education of Iran, and scenario localized collective wisdom.
Results: The output of neighborhood prioritization of the four mentioned scenarios has been determined and categorized into five classes. In the AHP scenario, the lowest percentage (8.89%) while the localized collective wisdom highest percentage (42.22%) allocate to priority 1 neighborhoods. There is generally no high correlation between the results and only the scenario of the Ministry of Health and Medical Education and the localized collective wisdom correlates 0.82.
Conclusion: Considering the COVID-19 vaccine shortage, spatial allocation based on the presented guidelines is a reliable method that can meet the basic criteria for allocating limited treatment resources. In This research, the spatial allocation was conducted and 180 neighborhoods throughout the city of Mashhad were identified and prioritized in different scenarios that can assist decision-makers.
Keywords: Corona; Vaccine Allocation; AHP; Fuzzy Logic; COVID-19
References                                                                                                                    
1-Azarafza M, Azarafza M, Akgun H. Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran. Journal of Applied Science Engineering Technology and Education 2021;3(7):1-6.
2-Worldometer. COVID-19 Coronavirus Pandemic. Available from:
 www.worldometers.info/coronavirus/
3-World Health Organization. WHO SAGE values framework for the allocation and prioritization of COVID-19 vaccination, 14 September. 2020 World Health
 Organization.  https://apps.who.int/iris/handle/10665/334299.
4-Nicoara  P, Haidu I. A GIS based network analysis for the identification of shortest route access to emergency medical facilities. Geographia Technica.2014;9 (2):60-7.
5-Sahraeian Z, Zangiabadi A, Khosravi F. Spatial Analysis and Site Selection of Health                    Medical and Hospital Centers Using (GIS) (Casse Study: Jahrom City). Geographic Space. 2013;13(43):153-70.
6-Ajami S, Ketabi S. Performance Evaluation of Medical Records Departments by Analytical Hierarchy Process (AHP) Approach in the Selected Hospitals in Isfahan. Journal of medical systems.2010;36(3):1165–71.
7-Liberatore M, Nydick R. The Analytic Hierarchy Process in Medical and Health Care Decision Making: A Literature Review. European Journal of Operational Research.2008;189(1):194-207.
8-Cavmak D, Cavmak S. Using AHP to Prioritize Barriers in Developing Medical Tourism: Case of Turkey. International Journal of Travel Medicine and Global Health . 2020;8(2):73-9.
9-Terrada O, Cherradi B, Raihani A, et al. A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors. International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS). 2018;1-6.
10-Korenevskiy N. Application of Fuzzy Logic for Decision-Making in Medical Expert Systems. Biomed Engineering. 2015;49(1):46–9.
11-Valipour A, Al-Sheikh A, Qarah Gozlu A, et al. Modeling malaria prevalence using Spatial Information System (GIS) and AHP analytical hierarchy process (Case study: Hormozgan province). Geomatics Conference90. 2011;18. [Persian]
12-Ghaedamini Asadabadi R, Tofighi Sh, Ghaedamini H, et al. A review of some infectious diseases distribution based on geographic information system (GIS) in the area of Chahar Mahal and Bakhtiari. Journal of police Medicine.2012;1(2):113-24. [Persian]
13-Ghasemi M, Al-Husayni al-Modarsi S, Dehghani Tafti A. Spatial analysis of salk disease and the effect of moisture and vegetation parameter using remote sensing and GIS. Second National Conference on the Application of Advanced Models of Spatial Analysis (Remote Sensing and GIS) in Land Use Planning. 2017:661-671. [Persian]
14-Abasi M, Rafiei Mirza A. Spatial Distribution Pattern of Brucellosis in GIS Environment (Case Study: Hamadan Province). The 6^th National Conference on Advaced Studies and Research in Geigraphy, Architecture and Urban Science of Iran.2019:531-539. [Persian]
15-Pourghasemi H, Heidari B, Farajzadeh Z, et al. Spatial modelling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between 19 February to 14 June 2020). International Journal of Infectious Diseases. 2020;98:90-108.
16-Alkhamis M, Al Youha S, Khajah M, et al. Spatiotemporal Dynamics of COVID-19 epidemic in the State of Kuwait. International Journal of Infectious Diseases. 2020;98:153-60.
17-Cuadros D, Xiao Y, Mukandavire Z, et al. Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity, Health & Place. 2020;64:102404.
18-Emanuel E, Persad G, Upshur R, et al. Fair Allocation of Scarce Medical Resources in the Time of Covid-19. New England Journal of Medicine. 2020;382:2049-55.
19-Gupta R, Morain S. Ethical allocation of future COVID-19 vaccines. Journal of Medical Ethics. 2020;47(3):137-41.
20-Fallucchi F, Faravelli M, Quercia S. Fair allocation of scarce medical resources in the time of COVID-19: what do people think, Journal of Medical Ethics.2021;47:3-6.
21-Behroozi F, Salari M, Birjandinezhad A. A review of optimal allocation of beds and patient flow process in hospital. 12th International Industrial Engineering Conference. 2016;12. [Persian]
22-Jafari Eskandari M, Nozari H, Mokhtari Saghinsara M. Implementation of fuzzy-robust programming method in the locating-routing and allocation multi-objective pharmaceutical supply chain problem under uncertainty. Decision & Operations Research. 2020;5(1):48-71. [Persian]
23-Statistical Center of Iran, Institute of Statistics. Statistical Center of Iran (2016). Overall results of general census of population and housing 2016. Available from: Https://www.amar.org.ir.
24-Safari A, Sasanpour F, Mosavand A. Assessment of urban vulnerability to flood risk using GIS and fuzzy logic Case study: District 3 of Tehran. Journal of Applied Research in Geographical Sciences. 2011;11(20):129-50.[Persian]
25-Bezdek J. Fuzzy models—What are they, and why? [Editorial]. Fuzzy Systems, IEEE Transactions on. 1993;1:1-6.
26-Zadeh LA. Fuzzy Sets. Information and Control. 1965;8(3):338-53.
27-Ayat S, Horri-Najafabadi E. Combination of IT and Fuzzy Logic in Presenting a New Method for Educational Evaluation (Case Study: Teaching Mathematics). Information and Communication Technology in Educational Sciences.2011;1(2):129-46. [Persian]
28-Mosavi S, Sadeghian R. Investigation of fuzzy logic and its application in complex problems.  International Journal of Nations Research. 2017;2(15):77-90. [Persian]
29-Saaty, T. L. The Analytic Hierarchy Process. McGraw-Hill, New York. 1980:271-8.
30-Albayrak E, Erensal Y. Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem: Intelligent Manufacturing Systems: Vision for the Future (Guest Editors: Ercan Öztemel, Cemalettin Kubat and Harun Taşkin). Journal of Intelligent Manufacturing. 2004;15(4):491-503.
31-Ghara Gozlu A, Alizade M. Land suitability assessment for industry’s establishment with AHP-Fuzzy logic method (Case study: Mallard county). Remote Sensing and GIS in Natural Resources (Application of Remote Sensing and GIS in Natural Resources Sciences). 2015;5(4):79-94. [Persian]
32-Zhou W. GIS for Earth Sciences. Reference Module in Earth Systems and Environmental Sciences. 2020. DOI:10.1016/B978-0-08-102908-4.00018-7
33-Zhen Zh, Jing-min J, Fang L. The application of geographic information system (GIS) in the field of public health.  Second IITA International Conference on Geoscience and Remote Sensing.2010;2:442-5.
34-Shaw N, McGuire S. Understanding the use of geographical information systems (GIS) in health informatics research: A review. Journal of Innovation in Health Informatics. 2017;24:228.