• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国 COVID-19 大流行的地域差异:地缘流行病学视角。

Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective.

机构信息

Department of Clinical Research and Innovation, Foch Hospital, Suresnes, France.

出版信息

Front Public Health. 2022 Jan 26;10:818989. doi: 10.3389/fpubh.2022.818989. eCollection 2022.

DOI:10.3389/fpubh.2022.818989
PMID:35155328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8826232/
Abstract

The spread of the COVID-19 pandemic has shown great heterogeneity between regions of countries, e. g., in the United States of America (USA). With the growing of the worldwide COVID-19 pandemic, there is a need to better highlight the variability in the trajectory of this disease in different worldwide geographic areas. Indeed, the epidemic trends across areas can display completely different evolution at a given time. Geo-epidemiological analyses using data, that are publicly available, could be a major topic to help governments and public administrations to implement health policies. Geo-epidemiological analyses could provide a basis for the implementation of relevant public health policies. With the COVID-19 pandemic, geo-epidemiological analyses can be readily utilized by policy interventions and USA public health authorities to highlight geographic areas of particular concern and enhance the allocation of resources.

摘要

新冠疫情的传播在各国各地区之间表现出很大的异质性,例如在美国。随着全球新冠疫情的加剧,有必要更好地突出不同全球地理区域内该疾病轨迹的可变性。实际上,在给定时间内,各地区的流行趋势可能会呈现出完全不同的演变。使用公开数据进行地理流行病学分析可能是帮助政府和公共行政部门实施卫生政策的一个主要议题。地理流行病学分析可以为实施相关公共卫生政策提供依据。在新冠疫情期间,地理流行病学分析可以通过政策干预和美国公共卫生当局的应用,突出特别关注的地理区域,并加强资源分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767e/8826232/1a4b5ef0a2d6/fpubh-10-818989-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767e/8826232/1a4b5ef0a2d6/fpubh-10-818989-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767e/8826232/1a4b5ef0a2d6/fpubh-10-818989-g0001.jpg

相似文献

1
Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective.美国 COVID-19 大流行的地域差异:地缘流行病学视角。
Front Public Health. 2022 Jan 26;10:818989. doi: 10.3389/fpubh.2022.818989. eCollection 2022.
2
Geo-epidemiological approach of the COVID-19 pandemic in France and in Europe for public health policies.法国和欧洲 COVID-19 大流行的地理流行病学方法对公共卫生政策的影响。
J Public Health Policy. 2023 Jun;44(2):255-263. doi: 10.1057/s41271-023-00402-z. Epub 2023 Mar 30.
3
Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study.美国新冠病毒传播的动态面板监测以指导卫生政策:观察性统计研究
J Med Internet Res. 2020 Oct 5;22(10):e21955. doi: 10.2196/21955.
4
International, national and local trends in the spread of COVID-19: a geographic view of COVID-19 spread and the role to be played by coproduction.COVID-19 的国际、国家和地方传播趋势:COVID-19 传播的地理视角以及共同创作的作用。
5
International, national and local trends in the spread of COVID-19: a geographic view of COVID-19 spread and the role to be played by coproduction.COVID-19 在国际、国家和地方的传播趋势:COVID-19 传播的地理视角以及共同生产所发挥的作用。
Int J Qual Health Care. 2021 Nov 29;33(Supplement_2):ii71-ii77. doi: 10.1093/intqhc/mzab074.
6
Variation Among Public Health Interventions in Initial Efforts to Prevent and Control the Spread of COVID-19 in the 50 States, 29 Big Cities, and the District of Columbia.50 个州、29 个大城市和哥伦比亚特区在预防和控制 COVID-19 传播的初始阶段采取的公共卫生干预措施存在差异。
J Public Health Manag Pract. 2021 Jan/Feb;27 Suppl 1, COVID-19 and Public Health: Looking Back, Moving Forward:S29-S38. doi: 10.1097/PHH.0000000000001284.
7
Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis.动态面板数据分析与美国大都市地区 COVID-19 的监测:纵向趋势分析。
J Med Internet Res. 2021 Feb 9;23(2):e26081. doi: 10.2196/26081.
8
Assessing COVID-19 pandemic policies and behaviours and their economic and educational trade-offs across US states from Jan 1, 2020, to July 31, 2022: an observational analysis.评估 2020 年 1 月 1 日至 2022 年 7 月 31 日美国各州的 COVID-19 大流行政策和行为及其经济和教育方面的权衡取舍:一项观察性分析。
Lancet. 2023 Apr 22;401(10385):1341-1360. doi: 10.1016/S0140-6736(23)00461-0. Epub 2023 Mar 23.
9
Emergency SARS-CoV-2 Variants of Concern: Novel Multiplex Real-Time RT-PCR Assay for Rapid Detection and Surveillance.关注的紧急 SARS-CoV-2 变异株:用于快速检测和监测的新型多重实时 RT-PCR 检测方法。
Microbiol Spectr. 2022 Feb 23;10(1):e0251321. doi: 10.1128/spectrum.02513-21.
10
SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis.东亚和太平洋地区的 SARS-CoV-2 第二波监测:纵向趋势分析。
J Med Internet Res. 2021 Feb 1;23(2):e25454. doi: 10.2196/25454.

引用本文的文献

1
Penetration of SARS-CoV-2 Alpha, Delta, and Omicron variants in the United States.严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)阿尔法、德尔塔和奥密克戎变异株在美国的传播情况。
Epidemiol Infect. 2025 Aug 4;153:e92. doi: 10.1017/S0950268825100290.
2
Spatial spread of COVID-19 during the early pandemic phase in Italy.意大利大流行早期 COVID-19 的空间传播。
BMC Infect Dis. 2024 Apr 29;24(1):450. doi: 10.1186/s12879-024-09343-8.
3
Geoepidemiological perspective on COVID-19 pandemic review, an insight into the global impact.从地理流行病学角度审视 COVID-19 大流行,洞察其对全球的影响。

本文引用的文献

1
Delayed epidemic peak caused by infection and recovery rate fluctuations.因感染和恢复率波动导致的疫情高峰延迟。
Chaos. 2021 Oct;31(10):101107. doi: 10.1063/5.0067625.
2
Role of Geographic Risk Factors in COVID-19 Epidemiology: Longitudinal Geospatial Analysis.地理风险因素在新冠疫情流行病学中的作用:纵向地理空间分析
Mayo Clin Proc Innov Qual Outcomes. 2021 Oct;5(5):916-927. doi: 10.1016/j.mayocpiqo.2021.06.011. Epub 2021 Jul 12.
3
Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race.
Front Public Health. 2023 Oct 19;11:1242891. doi: 10.3389/fpubh.2023.1242891. eCollection 2023.
4
Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory.利用基于社会经济代理的国家领土分类方法研究意大利 COVID-19 大流行的流行病学影响的地域异质性。
Front Public Health. 2023 Apr 21;11:1143189. doi: 10.3389/fpubh.2023.1143189. eCollection 2023.
5
Quantifying the impact of the COVID-19 pandemic on clinical trial screening rates over time in 37 countries.定量分析 COVID-19 大流行对 37 个国家临床试验筛选率随时间变化的影响。
Trials. 2023 Apr 4;24(1):254. doi: 10.1186/s13063-023-07277-1.
6
COVID-19 epidemic peaks distribution in the United-States of America, from epidemiological modeling to public health policies.美国 COVID-19 疫情高峰期分布:从流行病学建模到公共卫生政策。
Sci Rep. 2023 Mar 27;13(1):4996. doi: 10.1038/s41598-023-30014-2.
7
Comparison of Clinical Features, Complete Blood Count Parameters, and Outcomes between Two Distinct Waves of COVID-19: A Monocentric Report from Italy.两波不同的新冠疫情临床特征、全血细胞计数参数及结局比较:来自意大利的单中心报告
Healthcare (Basel). 2022 Nov 30;10(12):2427. doi: 10.3390/healthcare10122427.
8
Underestimation of the number of COVID-19 cases, an epidemiological threat.低估新型冠状病毒肺炎病例数量,一种流行病学威胁。
Epidemiol Infect. 2022 Nov 8;150:e191. doi: 10.1017/S0950268822001728.
9
Spatial governance for COVID-19 prevention and control in China's development zones.中国开发区新冠疫情防控的空间治理
Cities. 2022 Dec;131:104028. doi: 10.1016/j.cities.2022.104028. Epub 2022 Oct 6.
10
The COVID-19 Pandemic and the Migrant Population for HIV Diagnosis and Care Follow-Up: They Are Left Behind.新冠疫情与艾滋病毒诊断及护理随访中的流动人口:他们被遗忘了。
Healthcare (Basel). 2022 Aug 24;10(9):1607. doi: 10.3390/healthcare10091607.
基于人群流动的 COVID-19 感染的县内建模:通过商业交通、年龄和种族评估空间异质性。
Proc Natl Acad Sci U S A. 2021 Jun 15;118(24). doi: 10.1073/pnas.2020524118.
4
COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities.与 COVID-19 相关的跨学科方法:防止错误和发现研究机会。
Methods. 2021 Nov;195:3-14. doi: 10.1016/j.ymeth.2021.05.014. Epub 2021 May 23.
5
Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China.中国典型劳务输出省份 COVID-19 传播的时空异质性及其决定因素。
BMC Infect Dis. 2021 Mar 5;21(1):242. doi: 10.1186/s12879-021-05926-x.
6
Modeling Study: Characterizing the Spatial Heterogeneity of the COVID-19 Pandemic through Shape Analysis of Epidemic Curves.建模研究:通过疫情曲线的形状分析表征新冠疫情的空间异质性
Res Sq. 2021 Feb 23:rs.3.rs-223226. doi: 10.21203/rs.3.rs-223226/v1.
7
Factors associated with the spatial heterogeneity of the first wave of COVID-19 in France: a nationwide geo-epidemiological study.与法国 COVID-19 第一波空间异质性相关的因素:一项全国范围的地理流行病学研究。
Lancet Public Health. 2021 Apr;6(4):e222-e231. doi: 10.1016/S2468-2667(21)00006-2. Epub 2021 Feb 6.
8
A parsimonious approach for spatial transmission and heterogeneity in the COVID-19 propagation.一种用于新冠病毒传播中空间传播和异质性的简约方法。
R Soc Open Sci. 2020 Dec 15;7(12):201382. doi: 10.1098/rsos.201382. eCollection 2020 Dec.
9
Exposure to Common Geographic COVID-19 Prevalence Maps and Public Knowledge, Risk Perceptions, and Behavioral Intentions.接触常见地理 COVID-19 流行地图与公众知识、风险感知和行为意图。
JAMA Netw Open. 2021 Jan 4;4(1):e2033538. doi: 10.1001/jamanetworkopen.2020.33538.
10
Natural and human environment interactively drive spread pattern of COVID-19: A city-level modeling study in China.自然和人为环境交互作用驱动 COVID-19 的传播模式:中国的城市层面建模研究。
Sci Total Environ. 2021 Feb 20;756:143343. doi: 10.1016/j.scitotenv.2020.143343. Epub 2020 Oct 29.