• 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

墨西哥城大都市区新冠疫情政策对年末节假日接触情况的依赖性:一项建模研究

Dependence of COVID-19 Policies on End-of-Year Holiday Contacts in Mexico City Metropolitan Area: A Modeling Study.

作者信息

Alarid-Escudero Fernando, Gracia Valeria, Luviano Andrea, Roa Jorge, Peralta Yadira, Reitsma Marissa B, Claypool Anneke L, Salomon Joshua A, Studdert David M, Andrews Jason R, Goldhaber-Fiebert Jeremy D

机构信息

Division of Public Administration, Center for Research and Teaching in Economics (CIDE), Aguascalientes, Mexico.

Center for Research and Teaching in Economics (CIDE), Aguascalientes, Mexico.

出版信息

MDM Policy Pract. 2021 Oct 11;6(2):23814683211049249. doi: 10.1177/23814683211049249. eCollection 2021 Jul-Dec.

DOI:10.1177/23814683211049249
PMID:34660906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8512280/
Abstract

Mexico City Metropolitan Area (MCMA) has the largest number of COVID-19 (coronavirus disease 2019) cases in Mexico and is at risk of exceeding its hospital capacity in early 2021. We used the Stanford-CIDE Coronavirus Simulation Model (SC-COSMO), a dynamic transmission model of COVID-19, to evaluate the effect of policies considering increased contacts during the end-of-year holidays, intensification of physical distancing, and school reopening on projected confirmed cases and deaths, hospital demand, and hospital capacity exceedance. Model parameters were derived from primary data, literature, and calibrated. Following high levels of holiday contacts even with no in-person schooling, MCMA will have 0.9 million (95% prediction interval 0.3-1.6) additional COVID-19 cases between December 7, 2020, and March 7, 2021, and hospitalizations will peak at 26,000 (8,300-54,500) on January 25, 2021, with a 97% chance of exceeding COVID-19-specific capacity (9,667 beds). If MCMA were to control holiday contacts, the city could reopen in-person schools, provided they increase physical distancing with 0.5 million (0.2-0.9) additional cases and hospitalizations peaking at 12,000 (3,700-27,000) on January 19, 2021 (60% chance of exceedance). MCMA must increase COVID-19 hospital capacity under all scenarios considered. MCMA's ability to reopen schools in early 2021 depends on sustaining physical distancing and on controlling contacts during the end-of-year holiday.

摘要

墨西哥城大都市区(MCMA)是墨西哥新冠肺炎(2019冠状病毒病)病例最多的地区,有在2021年初超出其医院收治能力的风险。我们使用了斯坦福-国际疾病动态合作中心冠状病毒模拟模型(SC-COSMO),这是一个新冠肺炎的动态传播模型,来评估考虑到年末假期期间接触增加、强化物理距离措施以及学校重新开学等政策对预计确诊病例和死亡人数、医院需求以及医院收治能力超支情况的影响。模型参数来自原始数据、文献并经过校准。即使没有面对面授课,在假期接触水平较高的情况下,2020年12月7日至2021年3月7日期间,墨西哥城大都市区将新增90万例(95%预测区间为30万 - 160万)新冠肺炎病例,住院人数将于2021年1月25日达到峰值26000例(8300 - 54500例),有97%的可能性超出新冠肺炎特定收治能力(9667张床位)。如果墨西哥城大都市区能够控制假期接触,该市可以重新开展面对面授课,前提是增加物理距离措施,这样将新增50万例(20万 - 90万)病例,住院人数于2021年1月19日达到峰值12000例(3700 - 27000例)(超支概率为60%)。在所有考虑的情景下,墨西哥城大都市区都必须增加新冠肺炎医院收治能力。墨西哥城大都市区在2021年初重新开学的能力取决于维持物理距离措施以及控制年末假期期间的接触。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/be1e7c6c69ab/10.1177_23814683211049249-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/38fe26226332/10.1177_23814683211049249-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/221b55a19e9b/10.1177_23814683211049249-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/6d2210e4f881/10.1177_23814683211049249-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/20b3be927014/10.1177_23814683211049249-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/be1e7c6c69ab/10.1177_23814683211049249-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/38fe26226332/10.1177_23814683211049249-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/221b55a19e9b/10.1177_23814683211049249-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/6d2210e4f881/10.1177_23814683211049249-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/20b3be927014/10.1177_23814683211049249-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba8/8512280/be1e7c6c69ab/10.1177_23814683211049249-fig5.jpg

相似文献

1
Dependence of COVID-19 Policies on End-of-Year Holiday Contacts in Mexico City Metropolitan Area: A Modeling Study.墨西哥城大都市区新冠疫情政策对年末节假日接触情况的依赖性:一项建模研究
MDM Policy Pract. 2021 Oct 11;6(2):23814683211049249. doi: 10.1177/23814683211049249. eCollection 2021 Jul-Dec.
2
How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study.新冠疫情政策选项如何取决于墨西哥城大都市区的年终假期接触情况?一项建模研究。
medRxiv. 2020 Dec 22:2020.12.21.20248597. doi: 10.1101/2020.12.21.20248597.
3
Buying Time for an Effective Epidemic Response: The Impact of a Public Holiday for Outbreak Control on COVID-19 Epidemic Spread.为有效应对疫情争取时间:公共假日用于疫情防控对新冠疫情传播的影响
Engineering (Beijing). 2020 Oct;6(10):1108-1114. doi: 10.1016/j.eng.2020.07.018. Epub 2020 Sep 20.
4
A lattice gas model for infection spreading: Application to the COVID-19 pandemic in the Mexico City Metropolitan Area.一种用于感染传播的格子气模型:在墨西哥城大都市区新冠疫情中的应用。
Results Phys. 2021 Jan;20:103758. doi: 10.1016/j.rinp.2020.103758. Epub 2020 Dec 25.
5
Ozone over Mexico City during the COVID-19 pandemic.新冠疫情期间墨西哥城的臭氧。
Sci Total Environ. 2021 Mar 20;761:143183. doi: 10.1016/j.scitotenv.2020.143183. Epub 2020 Oct 22.
6
Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization.医疗单位应对墨西哥城大都市区 COVID-19 大流行第一波的地域战略:流动性、可达性和边缘化分析。
Int J Environ Res Public Health. 2022 Jan 7;19(2):665. doi: 10.3390/ijerph19020665.
7
Impact of Social Distancing Measures on Coronavirus Disease Healthcare Demand, Central Texas, USA.社会隔离措施对美国中德克萨斯州冠状病毒病医疗需求的影响。
Emerg Infect Dis. 2020 Oct;26(10):2361-2369. doi: 10.3201/eid2610.201702. Epub 2020 Jul 21.
8
Pilot Investigation of SARS-CoV-2 Secondary Transmission in Kindergarten Through Grade 12 Schools Implementing Mitigation Strategies - St. Louis County and City of Springfield, Missouri, December 2020.密苏里州圣路易斯县和斯普林菲尔德市幼儿园至 12 年级学校实施缓解策略后对 SARS-CoV-2 二次传播的初步调查-密苏里州圣路易斯县和斯普林菲尔德市,2020 年 12 月。
MMWR Morb Mortal Wkly Rep. 2021 Mar 26;70(12):449-455. doi: 10.15585/mmwr.mm7012e4.
9
Clusters of SARS-CoV-2 Infection Among Elementary School Educators and Students in One School District - Georgia, December 2020-January 2021.佐治亚州一个学区内的中小学校教育工作者和学生中 SARS-CoV-2 感染聚集性事件 - 2020 年 12 月至 2021 年 1 月。
MMWR Morb Mortal Wkly Rep. 2021 Feb 26;70(8):289-292. doi: 10.15585/mmwr.mm7008e4.
10
The Pandemic Holiday Blip in New York City.纽约市的疫情假期短暂波动。
IEEE Trans Comput Soc Syst. 2021 Mar 19;8(3):568-577. doi: 10.1109/TCSS.2021.3058633. eCollection 2021 Jun.

引用本文的文献

1
Decarceration and COVID-19 infections in U.S. Immigration and Customs Enforcement detention facilities: a simulation modeling study.美国移民和海关执法局拘留设施中的非监禁化与新冠病毒感染:一项模拟建模研究
Lancet Reg Health Am. 2024 Dec 27;42:100971. doi: 10.1016/j.lana.2024.100971. eCollection 2025 Feb.

本文引用的文献

1
Incremental Risk of Developing Severe COVID-19 Among Mexican Patients With Diabetes Attributed to Social and Health Care Access Disadvantages.墨西哥糖尿病患者因社会和医疗保健机会劣势而发展为重症 COVID-19 的增量风险。
Diabetes Care. 2021 Feb;44(2):373-380. doi: 10.2337/dc20-2192. Epub 2020 Nov 18.
2
The Household Secondary Attack Rate of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Rapid Review.家庭环境中严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的二次感染率:快速综述。
Clin Infect Dis. 2021 Jul 30;73(Suppl 2):S138-S145. doi: 10.1093/cid/ciaa1558.
3
A cross-country database of COVID-19 testing.
一个跨越国界的 COVID-19 检测数据库。
Sci Data. 2020 Oct 8;7(1):345. doi: 10.1038/s41597-020-00688-8.
4
Transmission of SARS-CoV-2 in Australian educational settings: a prospective cohort study.澳大利亚教育环境中 SARS-CoV-2 的传播:一项前瞻性队列研究。
Lancet Child Adolesc Health. 2020 Nov;4(11):807-816. doi: 10.1016/S2352-4642(20)30251-0. Epub 2020 Aug 3.
5
COVID-19 infectivity profile correction.新冠病毒感染性特征校正
Swiss Med Wkly. 2020 Aug 5;150:w20336. doi: 10.4414/smw.2020.20336. eCollection 2020 Jul 27.
6
Optimal strategies for vaccination and social distancing in a game-theoretic epidemiologic model.博弈论流行病学模型中疫苗接种和社交距离的最优策略
J Theor Biol. 2020 Nov 21;505:110422. doi: 10.1016/j.jtbi.2020.110422. Epub 2020 Jul 25.
7
Methods for Model Calibration under High Uncertainty: Modeling Cholera in Bangladesh.高不确定性下的模型校准方法:孟加拉国霍乱建模。
Med Decis Making. 2020 Jul;40(5):693-709. doi: 10.1177/0272989X20938683. Epub 2020 Jul 8.
8
Age-dependent effects in the transmission and control of COVID-19 epidemics.年龄相关因素对 COVID-19 疫情传播和防控的影响。
Nat Med. 2020 Aug;26(8):1205-1211. doi: 10.1038/s41591-020-0962-9. Epub 2020 Jun 16.
9
Children are unlikely to be the main drivers of the COVID-19 pandemic - A systematic review.儿童不太可能成为 COVID-19 大流行的主要驱动因素——系统评价。
Acta Paediatr. 2020 Aug;109(8):1525-1530. doi: 10.1111/apa.15371. Epub 2020 Jun 17.
10
On the fallibility of simulation models in informing pandemic responses.论模拟模型在为应对大流行提供信息方面的不可靠性。
Lancet Glob Health. 2020 Jun;8(6):e776-e777. doi: 10.1016/S2214-109X(20)30219-9. Epub 2020 Apr 30.