An evaluative model for assessing pandemic resilience at the neighborhood level: The case of Tehran
| Autor: | Ayyoob Sharifi, Azadeh Lak, Pantea Hakimian |
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| Rok vydání: | 2021 |
| Předmět: |
Pandemic
Renewable Energy Sustainability and the Environment Geography Planning and Development COVID-19 Evaluative Model Transportation Sample (statistics) Article Exploratory factor analysis Test (assessment) Correlation Environmental health Human settlement Urban Resilience Urban resilience Psychology Resilience (network) Pandemic Resilient Neighborhood Tehran Civil and Structural Engineering |
| Zdroj: | Sustainable Cities and Society |
| ISSN: | 2210-6707 |
| Popis: | The spread of the COVID-19 virus, which has caused abundant mortalities in human settlements, has drawn the attention of urban planners and policy-makers to the necessity of improving resilience to future pandemics. In this study, a set of indicators related to pandemic resilience were identified and used to develop a composite multi-dimensional pandemic resilience index for Tehran's neighborhoods. The physical, infrastructural, socio-economic, and environmental dimensions of pandemic resilience were defined considering the conditions of 351 neighborhoods through the exploratory factor analysis method. Accordingly, the pandemic resilience (PR) score of the neighborhoods was calculated. Furthermore, the Pearson correlation analysis was used to validate the PR scores by examining the correlation between the neighborhood PR scores and the number of confirmed cases. For this purpose, we used a sample consisting of 43,000 confirmed COVID-19 patients in the first five months of its spread. The test shows a statistically significant negative correlation between neighborhoods’ resilience score and the cumulative number of confirmed patients in the neighborhoods (r= -.456, P |
| Databáze: | OpenAIRE |
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