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<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Journal of Urban Ecology Researches</JournalTitle>
				<Issn>2538-3930</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>14</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluation of Health Resilience Indicators Against the COVID‑19 Pandemic in Urban Neighborhoods (Case Study: Selected Neighborhoods of Tabriz City)</ArticleTitle>
<VernacularTitle>Evaluation of Health Resilience Indicators Against the COVID‑19 Pandemic in Urban Neighborhoods (Case Study: Selected Neighborhoods of Tabriz City)</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">12679</ELocationID>
			
<ELocationID EIdType="doi">10.30473/grup.2026.74432.2922</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Kasra</FirstName>
					<LastName>Ketabollahi</LastName>
<Affiliation>Assistant Professor, Department of Industrial Design, Planning, faculty of Art and Architecture, Bu-Ali Sina University, Hamedan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>04</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>The COVID‑19 pandemic presented extensive threats to contemporary healthy living. Given that the neighborhood is a focal point in urban thought and gained heightened importance during the recent crisis, this research adopted it as its primary scale. The main objectives include explaining the biological health paradigm of neighborhoods in the post‑corona context and interpreting the health resilience of selected neighborhoods in Tabriz during the pandemic. Data were compiled via a review of 182 articles, resulting in the extraction of 12 indicators and 20 variables. These indicators were defined and redefined within an innovative framework based on the “evolution of health” across three dimensions: spatial, psychological, and medical, to serve as the basis for evaluating neighborhood health resilience through Confirmatory Factor Analysis (CFA). Three neighborhoods—Gharamalek, Maghsudieh, and Valie‑Asr Town—were selected as case samples, classified into high‑, moderate‑, and low‑risk levels based on official mortality statistics. The research methodology was mixed‑methods (quantitative and qualitative), incorporating GIS, narrative inquiry, questionnaires, and interviews. Data evaluation was performed using SPSS and AMOS version 19.&lt;br /&gt;The results show that Maghsudieh, Gharamalek, and Valie‑Asr Town, respectively, possess a higher level of resilience and biological health. However, the findings cast doubt on the initial hypothesis positing that better living qualities in a neighborhood would correlate with lower COVID‑19 prevalence. Finally, a comparative analysis of the variables helped explain the differences in factor influence.</Abstract>
			<OtherAbstract Language="FA">The COVID‑19 pandemic presented extensive threats to contemporary healthy living. Given that the neighborhood is a focal point in urban thought and gained heightened importance during the recent crisis, this research adopted it as its primary scale. The main objectives include explaining the biological health paradigm of neighborhoods in the post‑corona context and interpreting the health resilience of selected neighborhoods in Tabriz during the pandemic. Data were compiled via a review of 182 articles, resulting in the extraction of 12 indicators and 20 variables. These indicators were defined and redefined within an innovative framework based on the “evolution of health” across three dimensions: spatial, psychological, and medical, to serve as the basis for evaluating neighborhood health resilience through Confirmatory Factor Analysis (CFA). Three neighborhoods—Gharamalek, Maghsudieh, and Valie‑Asr Town—were selected as case samples, classified into high‑, moderate‑, and low‑risk levels based on official mortality statistics. The research methodology was mixed‑methods (quantitative and qualitative), incorporating GIS, narrative inquiry, questionnaires, and interviews. Data evaluation was performed using SPSS and AMOS version 19.&lt;br /&gt;The results show that Maghsudieh, Gharamalek, and Valie‑Asr Town, respectively, possess a higher level of resilience and biological health. However, the findings cast doubt on the initial hypothesis positing that better living qualities in a neighborhood would correlate with lower COVID‑19 prevalence. Finally, a comparative analysis of the variables helped explain the differences in factor influence.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Resilience</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Neighborhood</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">COVID-19</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Health Approach</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tabriz</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://grup.journals.pnu.ac.ir/article_12679_3ffc42b16830b1dea8131f6f65f85388.pdf</ArchiveCopySource>
</Article>
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