Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.

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Bibliographic Details
Title: Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.
Authors: Norlund P; Department of Sustainability and Planning, Aalborg University Copenhagen, 2450 Aalborg, Denmark.; Department of Computer and Geospatial Sciences, University of Gävle, 801 76 Gävle, Sweden., Arsanjani JJ; Department of Sustainability and Planning, Aalborg University Copenhagen, 2450 Aalborg, Denmark., Paasch JM; Department of Computer and Geospatial Sciences, University of Gävle, 801 76 Gävle, Sweden.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2026 May 08; Vol. 23 (5). Date of Electronic Publication: 2026 May 08.
Publication Type: Journal Article; Systematic Review; Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1660-4601
DOI:10.3390/ijerph23050627