<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>24(1)</volume><submitter>Song C</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </pubmed_abstract><journal>BMC public health</journal><pagination>423</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11218403</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.</pubmed_title><pmcid>PMC11218403</pmcid><pubmed_authors>Tang Z</pubmed_authors><pubmed_authors>Pan J</pubmed_authors><pubmed_authors>Tian F</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Xie M</pubmed_authors><pubmed_authors>Song C</pubmed_authors><pubmed_authors>Lin X</pubmed_authors><pubmed_authors>Liu Q</pubmed_authors><pubmed_authors>Xu S</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Fang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Feb</publication><modification>2025-04-21T16:13:02.908Z</modification><creation>2025-04-21T16:13:02.908Z</creation></dates><accession>S-EPMC11218403</accession><cross_references><pubmed>38336709</pubmed><doi>10.1186/s12889-024-17950-y</doi></cross_references></HashMap>