城市县域抗菌素耐药模式的时空探索

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Tanvi A Ingle, Lauren N Cooper, Alaina M Beauchamp, Abdi D Wakene, Christoph U Lehmann, Richard J Medford
{"title":"城市县域抗菌素耐药模式的时空探索","authors":"Tanvi A Ingle, Lauren N Cooper, Alaina M Beauchamp, Abdi D Wakene, Christoph U Lehmann, Richard J Medford","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The Centers for Disease Control and Prevention has raised national alarm over five Antimicrobial Resistant Organisms (AMROs) considered urgent or serious threats to public safety. Understanding the prevalence and distribution of AMROs at a local level can inform the unique infection risks facing our communities. We conducted a retrospective, spatiotemporal analysis of AMRO prevalence across Tarrant County, Texas from 2010-2019. Using spatial autocorrelation tests, we identified that across five different AMRO subtypes, the Western half of Tarrant County experienced more hot spots than the Eastern half. Our Space-Time Permutation Models identified 35 unique AMRO clusters. Using logistic regression models, we found significant associations between Area Deprivation Index, a measure of socioeconomic disparity, and most AMRO clusters. These findings underscore the importance of residency location and temporal trends when treating and preventing AMRO infections.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"541-550"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099405/pdf/","citationCount":"0","resultStr":"{\"title\":\"Antimicrobial Resistance Patterns in an Urban County: a Spatiotemporal Exploration.\",\"authors\":\"Tanvi A Ingle, Lauren N Cooper, Alaina M Beauchamp, Abdi D Wakene, Christoph U Lehmann, Richard J Medford\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Centers for Disease Control and Prevention has raised national alarm over five Antimicrobial Resistant Organisms (AMROs) considered urgent or serious threats to public safety. Understanding the prevalence and distribution of AMROs at a local level can inform the unique infection risks facing our communities. We conducted a retrospective, spatiotemporal analysis of AMRO prevalence across Tarrant County, Texas from 2010-2019. Using spatial autocorrelation tests, we identified that across five different AMRO subtypes, the Western half of Tarrant County experienced more hot spots than the Eastern half. Our Space-Time Permutation Models identified 35 unique AMRO clusters. Using logistic regression models, we found significant associations between Area Deprivation Index, a measure of socioeconomic disparity, and most AMRO clusters. These findings underscore the importance of residency location and temporal trends when treating and preventing AMRO infections.</p>\",\"PeriodicalId\":72180,\"journal\":{\"name\":\"AMIA ... Annual Symposium proceedings. AMIA Symposium\",\"volume\":\"2024 \",\"pages\":\"541-550\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099405/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AMIA ... Annual Symposium proceedings. AMIA Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AMIA ... Annual Symposium proceedings. AMIA Symposium","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

美国疾病控制与预防中心对5种被认为对公共安全构成紧急或严重威胁的抗菌素耐药生物(AMROs)发出了全国警报。了解地方一级amro的流行和分布情况可以为我们社区面临的独特感染风险提供信息。我们对2010-2019年德克萨斯州塔兰特县AMRO患病率进行了回顾性时空分析。利用空间自相关检验,我们发现在五种不同的AMRO亚型中,塔兰特县的西半部比东半部经历了更多的热点。我们的时空排列模型确定了35个独特的AMRO星团。使用逻辑回归模型,我们发现区域剥夺指数(衡量社会经济差距)与大多数AMRO集群之间存在显著关联。这些发现强调了在治疗和预防AMRO感染时居住地和时间趋势的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antimicrobial Resistance Patterns in an Urban County: a Spatiotemporal Exploration.

The Centers for Disease Control and Prevention has raised national alarm over five Antimicrobial Resistant Organisms (AMROs) considered urgent or serious threats to public safety. Understanding the prevalence and distribution of AMROs at a local level can inform the unique infection risks facing our communities. We conducted a retrospective, spatiotemporal analysis of AMRO prevalence across Tarrant County, Texas from 2010-2019. Using spatial autocorrelation tests, we identified that across five different AMRO subtypes, the Western half of Tarrant County experienced more hot spots than the Eastern half. Our Space-Time Permutation Models identified 35 unique AMRO clusters. Using logistic regression models, we found significant associations between Area Deprivation Index, a measure of socioeconomic disparity, and most AMRO clusters. These findings underscore the importance of residency location and temporal trends when treating and preventing AMRO infections.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信