Volume 11, Issue 3 (12-2024)
Journal of Spatial Analysis Environmental Hazards 2024, 11(3): 0-0 |
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Rafiee G, Maleki A, Shahbazi Y, Molaei A. Identifying environmental factors influencing biological crises Research sample: Tabriz metropolis. Journal of Spatial Analysis Environmental Hazards 2024; 11 (3)
URL: http://jsaeh.khu.ac.ir/article-1-3455-en.html
URL: http://jsaeh.khu.ac.ir/article-1-3455-en.html
1- Faculty of Architecture and Urban Planning, Tabriz University of Islamic Arts, Tabriz, Iran.
2- Faculty of Architecture and Urban Planning, Tabriz University of Islamic Arts, Tabriz, Iran. ,a.maleki@tabriziau.ac.ir
2- Faculty of Architecture and Urban Planning, Tabriz University of Islamic Arts, Tabriz, Iran. ,
Abstract: (1680 Views)
Natural biological crises are a constant threat to human societies; Therefore, it is considered important to be prepared to control and prevent such disasters. In dealing with such urban crises, addressing the category of non-pharmacological interventions against infectious diseases can be a way forward. Therefore, the aim of the current research is to find the main effective indicators in the epidemic and to explain the environmental components resulting from the interaction and correlation of the relevant measurable indicators at the locality level based on previous environmental studies.
In this research, in order to obtain a community of opinion about effective indicators in epidemiological crises, a systematic search was first conducted using the keyword of pandemic resilience. For this purpose, several widely used databases such as Web of Science, Scopus and Elsevier were searched between 2013 and 2023. After checking the quality of the conducted researches, 42 indicators were selected. Further, in order to find out the underlying variables and identify the basic factors or criteria in order to explain the correlation pattern between the observed variables, the exploratory factor analysis method was used and SPSS version 26 software was used to analyze the data. Data from 118 Tabriz neighborhoods were used for exploratory factor analysis. After collecting the data, the process of change, standardization has been done to prepare the data and convert the raw data into percentage, growth rate, average and ratio. Then, the status of urban resilience components against epidemic diseases was calculated and normalized separately based on factor load for each neighborhood. Finally, the results were illustrated using Arc GIS software.
The findings of the research indicate that 42 indicators affecting the spread of epidemic diseases at the level of localities can be re-categorized into 8 components of accumulation, diversity and design, social factors, density, economic factors, health infrastructure, environmental pollution and green spaces. Also, based on the findings, it can be said that the condition of most of the components in the neighborhoods of Tabriz city is at an average level.
Based on the results, the effects of environmental factors on the transmission of Covid-19 are differentiated spatially. These components represent more than 82% of the changes in effective environmental factors.
In this research, in order to obtain a community of opinion about effective indicators in epidemiological crises, a systematic search was first conducted using the keyword of pandemic resilience. For this purpose, several widely used databases such as Web of Science, Scopus and Elsevier were searched between 2013 and 2023. After checking the quality of the conducted researches, 42 indicators were selected. Further, in order to find out the underlying variables and identify the basic factors or criteria in order to explain the correlation pattern between the observed variables, the exploratory factor analysis method was used and SPSS version 26 software was used to analyze the data. Data from 118 Tabriz neighborhoods were used for exploratory factor analysis. After collecting the data, the process of change, standardization has been done to prepare the data and convert the raw data into percentage, growth rate, average and ratio. Then, the status of urban resilience components against epidemic diseases was calculated and normalized separately based on factor load for each neighborhood. Finally, the results were illustrated using Arc GIS software.
The findings of the research indicate that 42 indicators affecting the spread of epidemic diseases at the level of localities can be re-categorized into 8 components of accumulation, diversity and design, social factors, density, economic factors, health infrastructure, environmental pollution and green spaces. Also, based on the findings, it can be said that the condition of most of the components in the neighborhoods of Tabriz city is at an average level.
Based on the results, the effects of environmental factors on the transmission of Covid-19 are differentiated spatially. These components represent more than 82% of the changes in effective environmental factors.
Type of Study: Research |
Subject:
Special
Received: 2024/08/5 | Accepted: 2024/12/28 | Published: 2024/12/28
Received: 2024/08/5 | Accepted: 2024/12/28 | Published: 2024/12/28
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53. Hamidi S, Sabouri S, Ewing R. 2020b. Does density aggravate the COVID-19 pandemic? Early findings and lessons for planners. Journal of the American Planning Association. 86:1–15.
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55. Howard, MC.2016. A Review of Exploratory Factor Analysis Decisions and Overview of Current Practices: What We Are Doing and How Can We Improve? International Journal of Human Computer Interaction. 32(1): 51–62.
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57. Kang DW, Kim M, Cho D, Lee S. 2010. The effects of urban development pressure on agricultural land price: Application of a miXed GWR model. Journal of Rural Development.33(4): 63–83.
58. Lee VJ, Ho M, Kai CW, Aguilera X, Heymann D, Wilder-Smith A. 2020. Epidemic preparedness in urban settings: new challenges and opportunities. The Lancet Infectious Diseases, 20(5): 527–529.
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61. Moudon AV, Lee C. 2003. Walking and bicycling: An evaluation of environmental audit instruments. American Journal of Health Promotion. 18(1): 21–37.
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64. Perdue W C, Stone LA, Gostin LO. 2003. The built environment and its relationship to the public’s health: The legal framework. American Journal of Public Health, 93(9): 1390–1394.
65. Raj VAA, Velraj R, Haghighat F. 2020. The contribution of dry indoor built environment on the spread of Coronavirus: Data from various Indian states.Sustainable Cities and Society. 62:102371.
66. Rothan HA, Byrareddy SN. 2020. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity. 109: 102433.
67. Saadat S, Rawtani D, Hussain C. 2020. Environmental perspective of COVID-19.The Science of the Total Environment. 728: 138870.
68. Saarloos D, Kim J E, Timmermans H. 2009. The built environment and health: Introducing individual space-time behavior. International Journal of Environmental Research and Public Health, 6(6):1724–1743.
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74. Wild CP. 2005. Complementing the genome with an “exposome”: The outstanding challenge of environmental exposure measurement in molecular epidemiology.Cancer Epidemiology Biomarkers & Prevention, 14(8): 1847–1850.
75. Yashima K, Sasaki A. 2014. Epidemic process over the commute network in a metropolitan area. PloS One. 9(6):98518.
76. Yip TL, Huang Y, Liang C. 2021. Built environment and the metropolitan pandemic: Analysis of the COVID-19 spread in Hong Kong, Building and Environment. 188:107471.
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