{"title":"Geographic disparities and emerging hotspot trends of long COVID in the United States","authors":"Anand Gourishankar M.B.B.S., MRCP, MAS","doi":"10.1016/j.amjms.2025.03.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>To study the emerging hotspot pattern of Long COVID (LC) in the U.S. population and investigate the correlation between Long COVID and state health system performance.</div></div><div><h3>Methods</h3><div>Using 2022 to 2024 Center for Disease Control and Prevention adult LC data, I applied the Getis-Ord Gi* statistic with the Mann-Kendall trend test to determine emerging temporal trends associated with local clustering patterns across the contiguous states. A Pearson's correlation tested LC rates and state health system performance.</div></div><div><h3>Results</h3><div>A spatiotemporal trend map described discrete patterns. In 2023, Long COVID rates were highest in Southeastern states such as Mississippi and West Virginia, but by 2024, mixed patterns were observed in some states. The LC rates showed an inverse relationship with state health outcome scores (r = -0.69, P < 0.001). Emerging hotspot analysis identified Mississippi as a persistent hotspot for Long COVID. Northeastern states showed consistently persistent cold spots.</div></div><div><h3>Conclusions</h3><div>The states with better health outcomes showed a lower frequency of long COVID. The geographically emerging hot spots can guide focused intervention and resource allocation for these patients.</div></div>","PeriodicalId":55526,"journal":{"name":"American Journal of the Medical Sciences","volume":"369 6","pages":"Pages 689-694"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of the Medical Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0002962925009553","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
To study the emerging hotspot pattern of Long COVID (LC) in the U.S. population and investigate the correlation between Long COVID and state health system performance.
Methods
Using 2022 to 2024 Center for Disease Control and Prevention adult LC data, I applied the Getis-Ord Gi* statistic with the Mann-Kendall trend test to determine emerging temporal trends associated with local clustering patterns across the contiguous states. A Pearson's correlation tested LC rates and state health system performance.
Results
A spatiotemporal trend map described discrete patterns. In 2023, Long COVID rates were highest in Southeastern states such as Mississippi and West Virginia, but by 2024, mixed patterns were observed in some states. The LC rates showed an inverse relationship with state health outcome scores (r = -0.69, P < 0.001). Emerging hotspot analysis identified Mississippi as a persistent hotspot for Long COVID. Northeastern states showed consistently persistent cold spots.
Conclusions
The states with better health outcomes showed a lower frequency of long COVID. The geographically emerging hot spots can guide focused intervention and resource allocation for these patients.
期刊介绍:
The American Journal of The Medical Sciences (AJMS), founded in 1820, is the 2nd oldest medical journal in the United States. The AJMS is the official journal of the Southern Society for Clinical Investigation (SSCI). The SSCI is dedicated to the advancement of medical research and the exchange of knowledge, information and ideas. Its members are committed to mentoring future generations of medical investigators and promoting careers in academic medicine. The AJMS publishes, on a monthly basis, peer-reviewed articles in the field of internal medicine and its subspecialties, which include:
Original clinical and basic science investigations
Review articles
Online Images in the Medical Sciences
Special Features Include:
Patient-Centered Focused Reviews
History of Medicine
The Science of Medical Education.