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Annals of the American Association of Geographers Volume 112, 2022 - Issue 7
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Spatial Associations between COVID-19 Incidence Rates and Work Sectors: Geospatial Modeling of Infection Patterns among Migrants in Oman

Shawky Mansour* Geography Department, College of Arts and Social Sciences, Sultan Qaboos University, Oman, andDepartment of Geography and GIS, Faculty of Arts, Alexandria University, EgyptORCID Iconhttps://orcid.org/0000-0001-6969-9188View further author information
ORCID Icon,
Ammar Abulibdeh† Department of Humanities, College of Arts and Sciences, Qatar University, QatarORCID Iconhttps://orcid.org/0000-0002-0899-3655View further author information
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Mohammed Alahmadi‡ National Center for Remote Sensing Technology, Space and Aeronautics Research Institute, King Abdulaziz City for Science and Technology, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0003-4739-4855View further author information
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Adham Al-Said§ Department of Economic and Finance, College of Economics and Political Sciences, Sultan Qaboos University, OmanView further author information
,
Alkhattab Al-Said§ Department of Economic and Finance, College of Economics and Political Sciences, Sultan Qaboos University, OmanView further author information
,
Gary Watmough# School of Geosciences, University of Edinburgh, UKORCID Iconhttps://orcid.org/0000-0002-0657-2208View further author information
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Peter M. Atkinson¶ Lancaster Environment Centre, Lancaster University, UK, andInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, ChinaORCID Iconhttps://orcid.org/0000-0002-5489-6880View further author information
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Pages 1974-1993 | Received 02 Aug 2021, Accepted 12 Nov 2021, Published online: 05 Apr 2022

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Ming-Hsiang Tsou, Jian Xu, Chii-Dean Lin, Morgan Daniels, Jessica Embury, Jaehee Park, Eunjeong Ko & Joseph Gibbons. (2023) Analyzing Spatial-Temporal Impacts of Neighborhood Socioeconomic Status Variables on COVID-19 Outbreaks as Potential Social Determinants of Health. Annals of the American Association of Geographers 113:4, pages 891-912.
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Jinglun Xi, Xiaolu Liu, Jianghao Wang, Ling Yao & Chenghu Zhou. (2023) A Systematic Review of COVID-19 Geographical Research: Machine Learning and Bibliometric Approach. Annals of the American Association of Geographers 113:3, pages 581-598.
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Articles from other publishers (1)

Daniel A. Griffith. (2023) Spatial autocorrelation mixtures in geospatial disease data: An important global epidemiologic/public health assessment ingredient?. Transactions in GIS 27:3, pages 730-751.
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