{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["24(1)"],"submitter":["Song C"],"pubmed_abstract":["<h4>Background</h4>Ensuring universal health coverage and equitable access to health services requires a comprehensive understanding of spatiotemporal heterogeneity in healthcare resources, especially in small areas. The absence of a structured spatiotemporal evaluation framework in existing studies inspired us to propose a conceptual framework encompassing three perspectives: spatiotemporal inequalities, hotspots, and determinants.<h4>Methods</h4>To demonstrate our three-perspective conceptual framework, we employed three state-of-the-art methods and analyzed 10 years' worth of Chinese county-level hospital bed data. First, we depicted spatial inequalities of hospital beds within provinces and their temporal inequalities through the spatial Gini coefficient. Next, we identified different "],"journal":["BMC public health"],"pagination":["423"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11218403"],"repository":["biostudies-literature"],"pubmed_title":["Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties."],"pmcid":["PMC11218403"],"pubmed_authors":["Tang Z","Pan J","Tian F","Zhang Y","Xie M","Song C","Lin X","Liu Q","Xu S","Wang X","Fang L"],"additional_accession":[]},"is_claimable":false,"name":"Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.","description":"<h4>Background</h4>Ensuring universal health coverage and equitable access to health services requires a comprehensive understanding of spatiotemporal heterogeneity in healthcare resources, especially in small areas. The absence of a structured spatiotemporal evaluation framework in existing studies inspired us to propose a conceptual framework encompassing three perspectives: spatiotemporal inequalities, hotspots, and determinants.<h4>Methods</h4>To demonstrate our three-perspective conceptual framework, we employed three state-of-the-art methods and analyzed 10 years' worth of Chinese county-level hospital bed data. First, we depicted spatial inequalities of hospital beds within provinces and their temporal inequalities through the spatial Gini coefficient. Next, we identified different ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Feb","modification":"2025-04-21T16:13:02.908Z","creation":"2025-04-21T16:13:02.908Z"},"accession":"S-EPMC11218403","cross_references":{"pubmed":["38336709"],"doi":["10.1186/s12889-024-17950-y"]}}