• 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

Advanced forecasting of SARS-CoV-2-related deaths in Italy, Germany, Spain, and New York State.

作者信息

Sotgiu Giovanni, Gerli Alberto G, Centanni Stefano, Miozzo Monica, Canonica G Walter, Soriano Joan B, Virchow J Christian

机构信息

Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical, Experimental Sciences, University of Sassari, Sassari, Italy.

Management Engineering Tourbillon Tech srl, Padova, Italy.

出版信息

Allergy. 2020 Jul;75(7):1813-1815. doi: 10.1111/all.14327. Epub 2020 May 11.

DOI:10.1111/all.14327
PMID:32306406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7264667/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0828/7264667/873a276482db/ALL-75-1813-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0828/7264667/873a276482db/ALL-75-1813-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0828/7264667/873a276482db/ALL-75-1813-g001.jpg

相似文献

1
Advanced forecasting of SARS-CoV-2-related deaths in Italy, Germany, Spain, and New York State.意大利、德国、西班牙和纽约州与新冠病毒相关死亡人数的高级预测。
Allergy. 2020 Jul;75(7):1813-1815. doi: 10.1111/all.14327. Epub 2020 May 11.
2
[Forecasting the Pandemic: The Role of Mathematical Models].预测大流行：数学模型的作用
Acta Med Port. 2020 Nov 2;33(11):713-715. doi: 10.20344/amp.15049.
3
UK's record on pandemic deaths.英国在疫情死亡方面的记录。
BMJ. 2020 Sep 4;370:m3348. doi: 10.1136/bmj.m3348.
4
COVID-19 in Padua, Italy: not just an economic and health issue.意大利帕多瓦的新冠肺炎疫情：不仅仅是经济和健康问题。
Nat Med. 2020 Jun;26(6):806. doi: 10.1038/s41591-020-0884-6.
5
Genome analyses help track coronavirus' moves.基因组分析有助于追踪新冠病毒的传播轨迹。
Science. 2020 Mar 13;367(6483):1176-1177. doi: 10.1126/science.367.6483.1176.
6
Modelling the epidemic spread of COVID-19 virus infection in Northern African countries.模拟新冠病毒感染在北非国家的疫情传播情况。
Travel Med Infect Dis. 2020 May-Jun;35:101671. doi: 10.1016/j.tmaid.2020.101671. Epub 2020 Apr 15.
7
Geographical Distribution of COVID-19 Cases and Deaths Worldwide.全球新冠肺炎病例及死亡病例的地理分布。
J Res Health Sci. 2020 Sep 30;20(3):e00483. doi: 10.34172/jrhs.2020.24.
8
COVID-19 pandemic: is a gender-defined dosage effect responsible for the high mortality rate among males?新冠疫情：男性高死亡率是由性别特定剂量效应所致吗？
Immunogenetics. 2020 Jul;72(5):275-277. doi: 10.1007/s00251-020-01165-7.
9
Predictive models for COVID-19-related deaths and infections.新型冠状病毒肺炎相关死亡和感染的预测模型
Int J Tuberc Lung Dis. 2020 Jun 1;24(6):647-650. doi: 10.5588/ijtld.20.0196.
10
Research on COVID-19 based on ARIMA model-Taking Hubei, China as an example to see the epidemic in Italy.基于 ARIMA 模型的 COVID-19 研究——以中国湖北省为例，观察意大利的疫情。
J Infect Public Health. 2020 Oct;13(10):1415-1418. doi: 10.1016/j.jiph.2020.06.019. Epub 2020 Jun 20.

引用本文的文献

1
Clinical Characteristics, Outcomes and Prognostic Factors for Critical Illness in Hospitalized COVID-19 Patients in Saudi Arabia: A Retrospective Cohort Study.沙特阿拉伯住院COVID-19患者危重症的临床特征、结局及预后因素：一项回顾性队列研究
Int J Gen Med. 2022 Aug 31;15:6945-6963. doi: 10.2147/IJGM.S374090. eCollection 2022.
2
Inflammation, underweight, malignancy and a marked catabolic state as predictors for worse outcomes in COVID-19 patients with moderate-to-severe disease admitted to Internal Medicine Unit.炎症、体重过轻、恶性肿瘤和明显的分解代谢状态是导致中重度 COVID-19 患者入住内科单元后预后较差的预测因素。
PLoS One. 2022 May 18;17(5):e0268432. doi: 10.1371/journal.pone.0268432. eCollection 2022.
3

本文引用的文献

1
Predictive models for COVID-19-related deaths and infections.新型冠状病毒肺炎相关死亡和感染的预测模型
Int J Tuberc Lung Dis. 2020 Jun 1;24(6):647-650. doi: 10.5588/ijtld.20.0196.
2
Offline: COVID-19-what countries must do now.线下：新冠疫情——各国当下必须做的事。
Lancet. 2020 Apr 4;395(10230):1100. doi: 10.1016/S0140-6736(20)30787-X.
3
Monitoring the COVID-19 epidemic in the context of widespread local transmission.在本地广泛传播的背景下监测新冠疫情。
Decreased serum level of sphingosine-1-phosphate: a novel predictor of clinical severity in COVID-19.
血清神经酰胺-1-磷酸水平降低：COVID-19 临床严重程度的新预测因子。
EMBO Mol Med. 2021 Jan 11;13(1):e13424. doi: 10.15252/emmm.202013424. Epub 2020 Dec 9.
4
Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.新型冠状病毒肺炎患者入住重症监护病房的临床特征及预后因素：运用机器学习和自然语言处理的回顾性研究
J Med Internet Res. 2020 Oct 28;22(10):e21801. doi: 10.2196/21801.
5
Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India.估算美国、英国、俄罗斯和印度的2019冠状病毒病（COVID-19）患病率和死亡率。
Infect Drug Resist. 2020 Sep 29;13:3335-3350. doi: 10.2147/IDR.S265292. eCollection 2020.
6
Outcomes and Laboratory and Clinical Findings of Asthma and Allergic Patients Admitted With Covid-19 in a Spanish University Hospital.西班牙一家大学医院中因新冠病毒病（Covid-19）入院的哮喘和过敏患者的结局以及实验室和临床检查结果
Front Pharmacol. 2020 Sep 16;11:570721. doi: 10.3389/fphar.2020.570721. eCollection 2020.
7
Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced -Sutte Indicator.利用高级 Sutte 指标预测 COVID-19 流行和死亡率的流行病学趋势。
Epidemiol Infect. 2020 Oct 5;148:e236. doi: 10.1017/S095026882000237X.
8
Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea.韩国新冠肺炎流行病学及康复预测因素
Pulm Med. 2020 Jul 30;2020:7291698. doi: 10.1155/2020/7291698. eCollection 2020.
9
Inpatient Care during the COVID-19 Pandemic: A Survey of Italian Physicians.《COVID-19 大流行期间的住院患者治疗：意大利医师调查》。
Respiration. 2020;99(8):667-677. doi: 10.1159/000509007. Epub 2020 Aug 5.
10
SARS-CoV-2 specific serological pattern in healthcare workers of an Italian COVID-19 forefront hospital.意大利一家直面 COVID-19 前线医院的医护人员中 SARS-CoV-2 的血清学特征。
BMC Pulm Med. 2020 Jul 29;20(1):203. doi: 10.1186/s12890-020-01237-0.
Lancet Respir Med. 2020 May;8(5):440-442. doi: 10.1016/S2213-2600(20)30162-4. Epub 2020 Apr 2.
4
Epidemiological data from the COVID-19 outbreak, real-time case information.新冠疫情流行病学数据，实时病例信息。
Sci Data. 2020 Mar 24;7(1):106. doi: 10.1038/s41597-020-0448-0.