• 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

哈萨克斯坦共和国新冠疫情升级后对医疗资源需求的预测

Anticipating the Need for Healthcare Resources Following the Escalation of the COVID-19 Outbreak in the Republic of Kazakhstan.

作者信息

Semenova Yuliya, Pivina Lyudmila, Khismetova Zaituna, Auyezova Ardak, Nurbakyt Ardak, Kauysheva Almagul, Ospanova Dinara, Kuziyeva Gulmira, Kushkarova Altynshash, Ivankov Alexandr, Glushkova Natalya

机构信息

Department of Neurology, Ophthalmology and Otolaryngology, Semey Medical University, Semey, Kazakhstan.

Department of Internal Medicine, Semey Medical University, Semey, Kazakhstan.

出版信息

J Prev Med Public Health. 2020 Nov;53(6):387-396. doi: 10.3961/jpmph.20.395. Epub 2020 Oct 5.

DOI:10.3961/jpmph.20.395
PMID:33296578
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7733753/
Abstract

OBJECTIVES

The lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available.

METHODS

We constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach. The World Health Organization's COVID-19 Essential Supplies Forecasting Tool was used to evaluate the healthcare resources needed for the next 12 weeks.

RESULTS

Over the forecast period, there will be 104 713.7 hospital admissions due to severe disease and 34 904.5 hospital admissions due to critical disease. This will require 47 247.7 beds for severe disease and 1929.9 beds for critical disease at the peak of the COVID-19 outbreak. There will also be high needs for all categories of healthcare workers and for both diagnostic and treatment equipment. Thus, Republic of Kazakhstan faces the need for a rapid increase in available healthcare resources and/or for finding ways to redistribute resources effectively.

CONCLUSIONS

Republic of Kazakhstan will be able to reduce the rates of infections and deaths among its population by developing and following a consistent strategy targeting COVID-19 in a number of inter-related directions.

摘要

目的

突发公共卫生事件中缺乏预先规划可能导致资源浪费和意外的生命损失。本研究旨在预测哈萨克斯坦共和国2019冠状病毒病(COVID-19)疫情扩大后对医疗资源的需求,根据不断发展的疫情形势和现有资源数据,重点关注医院床位、设备和专业医护人员。

方法

我们通过经典的易感-暴露-感染-康复(SEIR)方法构建了疫情情景预测模型。使用世界卫生组织的COVID-19基本物资预测工具评估未来12周所需的医疗资源。

结果

在预测期内,因重症将有104713.7例住院病例,因危重症将有34904.5例住院病例。在COVID-19疫情高峰期,这将需要47247.7张重症床位和1929.9张危重症床位。对各类医护人员以及诊断和治疗设备也将有很高的需求。因此,哈萨克斯坦共和国面临着迅速增加可用医疗资源和/或找到有效重新分配资源方法的需求。

结论

哈萨克斯坦共和国将能够通过制定并遵循一系列相互关联的针对COVID-19的一致战略,降低其人口中的感染率和死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6371/7733753/521b5b5ec904/jpmph-20-395f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6371/7733753/521b5b5ec904/jpmph-20-395f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6371/7733753/521b5b5ec904/jpmph-20-395f1.jpg

相似文献

1
Anticipating the Need for Healthcare Resources Following the Escalation of the COVID-19 Outbreak in the Republic of Kazakhstan.哈萨克斯坦共和国新冠疫情升级后对医疗资源需求的预测
J Prev Med Public Health. 2020 Nov;53(6):387-396. doi: 10.3961/jpmph.20.395. Epub 2020 Oct 5.
2
Epidemiological Characteristics and Forecast of COVID-19 Outbreak in the Republic of Kazakhstan.哈萨克斯坦共和国 COVID-19 疫情的流行病学特征和预测。
J Korean Med Sci. 2020 Jun 22;35(24):e227. doi: 10.3346/jkms.2020.35.e227.
3
How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis.新墨西哥州如何利用新冠疫情预测模型来预先满足该州的医疗保健需求:定量分析
JMIR Public Health Surveill. 2021 Jun 9;7(6):e27888. doi: 10.2196/27888.
4
A national healthcare response to intensive care bed requirements during the COVID-19 outbreak in France.法国 COVID-19 疫情期间对重症监护床位需求的国家卫生保健应对措施。
Anaesth Crit Care Pain Med. 2020 Dec;39(6):709-715. doi: 10.1016/j.accpm.2020.09.007. Epub 2020 Oct 5.
5
[Current malaria situation in the Republic of Kazakhstan].[哈萨克斯坦共和国当前的疟疾形势]
Med Parazitol (Mosk). 2001 Jan-Mar(1):24-33.
6
Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia.印度尼西亚巴厘岛新冠病毒传播及医疗服务能力预测
J Prev Med Public Health. 2020 May;53(3):158-163. doi: 10.3961/jpmph.20.152. Epub 2020 Apr 29.
7
COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia.COVID-19 趋势在意大利撒丁岛老年人群中的估计。
Front Public Health. 2020 Apr 24;8:153. doi: 10.3389/fpubh.2020.00153. eCollection 2020.
8
A Closer Look Into Global Hospital Beds Capacity and Resource Shortages During the COVID-19 Pandemic.深入了解 COVID-19 大流行期间全球医院床位容量和资源短缺情况。
J Surg Res. 2021 Apr;260:56-63. doi: 10.1016/j.jss.2020.11.062. Epub 2020 Nov 24.
9
Public health and social measures to mitigate the health and economic impact of the COVID-19 pandemic in Turkey, Egypt, Ukraine, Kazakhstan, and Poland during 2020-2021: situational analysis.2020-2021 年期间,土耳其、埃及、乌克兰、哈萨克斯坦和波兰为减轻 COVID-19 大流行对健康和经济的影响而采取的公共卫生和社会措施:情况分析。
BMC Public Health. 2022 May 17;22(1):991. doi: 10.1186/s12889-022-13411-6.
10
Population Health Strategies to Support Hospital and Intensive Care Unit Resiliency During the COVID-19 Pandemic: The Italian Experience.在 COVID-19 大流行期间支持医院和重症监护病房恢复力的人口健康策略:意大利的经验。
Popul Health Manag. 2021 Apr;24(2):174-181. doi: 10.1089/pop.2020.0255. Epub 2020 Dec 30.

引用本文的文献

1
Frequency and patterns of CMF emergency cases during and after COVID-19.COVID-19期间及之后CMF急诊病例的频率和模式。
Eur J Trauma Emerg Surg. 2025 Sep 3;51(1):283. doi: 10.1007/s00068-025-02957-w.
2
National trends in Azithromycin consumption during 2017-2023 in Kazakhstan: impact of the COVID-19 pandemic and the imperative for enhanced clinical guidelines.2017 - 2023年哈萨克斯坦阿奇霉素消费的全国趋势:COVID - 19大流行的影响及加强临床指南的必要性
Sci Rep. 2025 Feb 21;15(1):6309. doi: 10.1038/s41598-025-91216-4.
3
The burden of COVID-19 in primary care of Almaty, Kazakhstan, 2021-2022.

本文引用的文献

1
Epidemiological Characteristics and Forecast of COVID-19 Outbreak in the Republic of Kazakhstan.哈萨克斯坦共和国 COVID-19 疫情的流行病学特征和预测。
J Korean Med Sci. 2020 Jun 22;35(24):e227. doi: 10.3346/jkms.2020.35.e227.
2
Dynamic interventions to control COVID-19 pandemic: a multivariate prediction modelling study comparing 16 worldwide countries.动态干预控制 COVID-19 大流行:比较全球 16 个国家的多变量预测建模研究。
Eur J Epidemiol. 2020 May;35(5):389-399. doi: 10.1007/s10654-020-00649-w. Epub 2020 May 19.
3
[Ethical recommendations for a difficult decision-making in intensive care units due to the exceptional situation of crisis by the COVID-19 pandemia: A rapid review & consensus of experts].
2021 - 2022年哈萨克斯坦阿拉木图初级医疗保健中新冠病毒病的负担
Sci Rep. 2025 Feb 12;15(1):5186. doi: 10.1038/s41598-025-89707-5.
4
Peculiarities of in-Stent Thrombosis and Restenosis in Coronary Arteries Post-COVID-19: A Systematic Review of Clinical Cases and Case Series.新冠病毒感染后冠状动脉内支架内血栓形成和再狭窄的特点:临床病例和病例系列的系统评价
Open Access Emerg Med. 2025 Jan 22;17:15-30. doi: 10.2147/OAEM.S470523. eCollection 2025.
5
Optimizing antibiotic stewardship and reducing antimicrobial resistance in Central Asia: A study protocol for evidence-based practice and policy.优化中亚地区的抗生素管理并减少抗菌药物耐药性:一项基于证据的实践与政策研究方案
PLoS One. 2025 Jan 16;20(1):e0307784. doi: 10.1371/journal.pone.0307784. eCollection 2025.
6
A Nationwide Evaluation of Antibiotic Consumption in Kazakhstan from 2019 to 2023.2019年至2023年哈萨克斯坦抗生素消费情况的全国性评估。
Antibiotics (Basel). 2024 Nov 23;13(12):1123. doi: 10.3390/antibiotics13121123.
7
Point-Prevalence Survey of Antimicrobial Use and Healthcare-Associated Infections in Four Acute Care Hospitals in Kazakhstan.哈萨克斯坦四家急症医院抗菌药物使用及医疗相关感染的现患率调查
Antibiotics (Basel). 2024 Oct 17;13(10):981. doi: 10.3390/antibiotics13100981.
8
Assessment of the Predictive Ability of the Neutrophil-to-Lymphocyte Ratio in Patients with In-Stent Restenosis after COVID-19.新冠病毒感染后支架内再狭窄患者中性粒细胞与淋巴细胞比值预测能力的评估
Diagnostics (Basel). 2024 Oct 11;14(20):2262. doi: 10.3390/diagnostics14202262.
9
Consumption Trends of Antifungal and Antiprotozoal Agents for Human Systemic Use in Kazakhstan from 2017 to 2023.2017年至2023年哈萨克斯坦人体全身用抗真菌和抗原虫药物的消费趋势
Antibiotics (Basel). 2024 Sep 6;13(9):857. doi: 10.3390/antibiotics13090857.
10
Interrupted time series analysis of the impact of the COVID-19 pandemic and compulsory social health insurance system on fertility rates: a study of live births in Kazakhstan, 2019-2023.COVID-19 大流行和强制性社会健康保险制度对生育率影响的中断时间序列分析:对哈萨克斯坦 2019-2023 年活产的研究
Front Public Health. 2024 Aug 23;12:1454420. doi: 10.3389/fpubh.2024.1454420. eCollection 2024.
[关于因新型冠状病毒肺炎大流行危机的特殊情况而在重症监护病房进行艰难决策的伦理建议:专家快速回顾与共识]
Med Intensiva (Engl Ed). 2020 Oct;44(7):439-445. doi: 10.1016/j.medin.2020.04.006. Epub 2020 Apr 15.
4
Fair allocation of scarce medical resources during COVID-19 pandemic: ethical considerations.新冠疫情期间稀缺医疗资源的公平分配:伦理考量
Einstein (Sao Paulo). 2020 Apr 30;18:eAE5775. doi: 10.31744/einstein_journal/2020AE5775.
5
Estimation of the Excess COVID-19 Cases in Seoul, South Korea by the Students Arriving from China.韩国首尔因中国入境学生导致的新冠病例超额估计
Int J Environ Res Public Health. 2020 Apr 29;17(9):3113. doi: 10.3390/ijerph17093113.
6
Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus.数学评估非药物干预措施对遏制 2019 年新型冠状病毒的影响。
Math Biosci. 2020 Jul;325:108364. doi: 10.1016/j.mbs.2020.108364. Epub 2020 May 1.
7
Inter nation social lockdown versus medical care against COVID-19, a mild environmental insight with special reference to India.国际社会封锁与医疗保健对抗 COVID-19,一个对印度有特殊参考意义的轻度环境观察。
Sci Total Environ. 2020 Aug 1;728:138914. doi: 10.1016/j.scitotenv.2020.138914. Epub 2020 Apr 23.
8
How Is COVID-19 Affecting South Korea? What Is Our Current Strategy?新冠疫情如何影响韩国?我们目前的策略是什么?
Disaster Med Public Health Prep. 2020 Oct;14(5):684-686. doi: 10.1017/dmp.2020.69. Epub 2020 Apr 3.
9
COVID-19 pandemic: triage for intensive-care treatment under resource scarcity.新冠疫情:资源稀缺情况下的重症监护治疗分诊
Swiss Med Wkly. 2020 Mar 24;150:w20229. doi: 10.4414/smw.2020.20229. eCollection 2020 Mar 23.
10
Fair Allocation of Scarce Medical Resources in the Time of Covid-19.新冠疫情期间稀缺医疗资源的公平分配
N Engl J Med. 2020 May 21;382(21):2049-2055. doi: 10.1056/NEJMsb2005114. Epub 2020 Mar 23.