共查询到20条相似文献，搜索用时 0 毫秒
1.
2.
3.
加强我国公共卫生管理的若干建议 总被引：1，自引：0，他引：1
公共卫生是事关人民群众健康的公共事业,提供公共卫生服务、进行公共卫生管理是政府的重要职责。我国政府十分重视公共卫生事业发展,尤其是2003年\"非典\"疫情后,我国公共卫生服务体系建设不断完善、管理不断加强。但这次突如其来的新冠肺炎疫情发生与蔓延,仍然暴露出我国公共卫生管理的一些短板,亟待我们总结经验、深入研究,有针对性地采取措施加以解决。具体建议包括：（1）完善国家安全观;（2）强化法治建设;（3）强化政府治理能力建设;（4）健全信息公开、媒体与互联网管理制度;（5）强化专家的科学精神与职业素养;（6）健全突发公共卫生事件应急管理机制;（7）加强社会组织建设,完善社会力量参与机制;（8）提升公民应对疫情灾情素质;（9）切实把\"预防为主\"方针落到实处;（10）注重研究突发公共卫生事件期间的经济政策。 相似文献
4.
在突如其来的新冠肺炎疫情面前,为了最大限度地降低停课对学生学业的影响,各大高校纷纷采用线上教学的方式开展2020年春季学期的教学工作。该文回顾了疫情防控期间作者大学英语线上教学的实践情况,并在此基础上进行了反思,希望能对将来线上、线下相结合的大学英语教学有所裨益。 相似文献
5.
抗疫情助推我国数字化转型：机遇与挑战 总被引：1，自引：0，他引：1
近年来,我国数字经济蓬勃发展,赋能实体经济提质增效,成为经济增长的新动能。在2020年的新冠肺炎疫情中,新一代信息技术在疫情防控、生产生活物资保障、复工复产等各环节得到广泛应用,助力科学防控、精准施控,也为我国经济社会全面数字化转型带来新的机遇。文章聚焦当前疫情影响下我国政府、产业、企业、社会的数字化转型机遇,分析了疫情中数字化转型存在的问题与挑战,提出了加快我国经济社会全面数字化转型的政策建议,具体包括:(1)加快推进政府数字化转型,提高政府治理现代化水平;(2)深化新一代信息技术在垂直细分领域的融合发展,丰富应用场景;(3)推动产业互联网建设,促进各产业数字化水平均衡发展;(4)加强数字化转型中的数据治理,保障数据的高效安全使用。 相似文献
6.
Chengye Yao Di Wu Ding-Yu Zhang Hong Wang Jian-Xin Song Jingfang Mu Jiqian Xu Mingliang Zhang Muhan Huang Qingyu Yang Shu-Hai Lin Tang Tang Ting Shu Tingju Zhu Wen Liu Xi Zhou Xiaobo Yang Yang Qiu Yaxin Wang Yongran Wu You Shang Yuan Yu Yujie Ren 《国家科学评论(英文版)》2020,(7):1157-1168
The pandemic of the coronavirus disease 2019 (COVID-19) has become a global public health crisis.The symptoms of COVID-19 range from mild to severe,but the phys... 相似文献
7.
[目的/意义]旨在为疫情防控及其他公共突发事件中的信息管理提供参考.[方法/过程]通过对世卫组织流行病信息网络组织的信息疫情管理全球在线会议进行网络调查,在总结和借鉴在线会议成果的基础上,结合我国疫情期间所暴露的信息疫情管理问题,提出适合我国国情的信息疫情的管理对策.[结果/结论]提出协同多元主体建立统一的疫情信息管理... 相似文献
8.
Mariangela Palladino 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2021,31(3)
Coronavirus disease 2019 (COVID-19) pandemic represents a scientific and social crisis. One of the main unmet needs for coronavirus disease 2019 is its unpredictable clinical course, which can rapidly change in an irreversible outcome. COVID-19 patients can be classified into mild, moderate, and severe. Several haematological parameters, such as platelets, white blood cell total count, lymphocytes, neutrophils, (together with neutrophil-lymphocyte and platelet-lymphocyte ratio), and haemoglobin were described to be associated with COVID-19 infection and severity. The purpose of these review is to describe the current state of the art about complete blood count alterations during COVID-19 infection, and to summarize the crucial role of some haematological parameters during the course of the disease. Decreased platelet, lymphocyte, haemoglobin, eosinophil, and basophil count, increased neutrophil count and neutrophil-lymphocyte and platelet-lymphocyte ratio have been associated with COVID-19 infection and a worse clinical outcome. Our study adds some novelty about the identification of effective biomarkers of progressive disease, and might be helpful for diagnosis, prevention of complications, and effective therapy. 相似文献
9.
《Research Policy》2023,52(1):104623
In this paper we develop a novel multi-stage integrative framework for technology foresight-planning. This framework integrates econometric analysis and a technology foresight procedure to predict: (i) the most COVID-19 resilient industries at the national level; and (ii) the most adversely affected industries (due to prior investment in innovation) that requires public support. Our econometric results show that the pandemic has induced a ‘double-edge sword’ effect of innovation on firm’s COVID-19 adaptable capacity (CAC). Costly innovation undertaken before the pandemic can be bad for firms if it compounds the problem of declining post-pandemic outbreak profit and optimism. Contrarily, firm level innovation improves firm’s CAC as the prior innovators’ profitability are found to have above-even odds of rebounding quickly post-pandemic outbreak. Our empirical analysis focuses mostly on developing economies, where firms are most likely implementing only incremental (non-frontier) innovation and thus our results should be generalized with caution. 相似文献
10.
María Jos Castro-Castro Laura García-Tejada Ariadna Arbiol-Roca Lourdes Snchez-Navarro Loreto Rapún-Mas Isabel Cachon-Surez Marta lvarez-lvarez Dolors Dot-Bach Roser Güell-Mir Anna Corts-Bosch de Bassea Macarena Dastis-Arias Ana Sancho-Cerro Noelia Díaz-Troyano Teresa Escartín-Diez Diego Muoz-Provencio Rosa Navarro-Badal 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2022,32(1)
11.
《Information processing & management》2022,59(5):103025
Since the patient is not quarantined during the conclusion of the Polymerase Chain Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In this study, it was aimed to reduce the duration and amount of transmission of the disease by shortening the diagnosis time of COVID-19 patients with the use of Computed Tomography (CT). In addition, it is aimed to provide a decision support system to radiologists in the diagnosis of COVID-19. In this study, deep features were extracted with deep learning models such as ResNet-50, ResNet-101, AlexNet, Vgg-16, Vgg-19, GoogLeNet, SqueezeNet, Xception on 1345 CT images obtained from the radiography database of Siirt Education and Research Hospital. These deep features are given to classification methods such as Support Vector Machine (SVM), k Nearest Neighbor (kNN), Random Forest (RF), Decision Trees (DT), Naive Bayes (NB), and their performance is evaluated with test images. Accuracy value, F1-score and ROC curve were considered as success criteria. According to the data obtained as a result of the application, the best performance was obtained with ResNet-50 and SVM method. The accuracy was 96.296%, the F1-score was 95.868%, and the AUC value was 0.9821. The deep learning model and classification method examined in this study and found to be high performance can be used as an auxiliary decision support system by preventing unnecessary tests for COVID-19 disease. 相似文献
12.
基于大数据回溯新冠肺炎的扩散趋势及中国对疫情的控制研究 总被引：2，自引：0，他引：2
自2019年12月以来,湖北省武汉市出现新型冠状病毒肺炎(简称\"新冠肺炎\"),随后疫情在全国范围内暴发。相关学者对此次疫情扩散趋势做了大量研究,但基于模型的估算普遍存在高估传染系数和感染人群的问题。基于此,利用大数据回溯新冠肺炎在全国扩散的趋势和传染系数,得出结论:(1)在扩散前期(2020年1月24号之前)武汉输出的人口是全国各城市(武汉除外)新冠肺炎扩散的主要威胁,之后每个省、自治区、直辖市的人口与确诊病例数的关系逐渐增强,体现出本地传播的趋势;(2)利用SEIR模型拟合武汉和北京两地新冠肺炎确诊病例得出真实传播系数(R0),揭示武汉的R0高于北京,考虑到人为控制因素,2019年12月1日—2020年2月9日两地的实际的R0均大幅度下降。基于此,对疫情期间存在的问题进行针对性建议,并从数据上论证了中国政府对于疫情扩散强有力的控制能力,对阻止国内及世界范围的疫情扩散作出积极贡献。 相似文献
13.
14.
《鼠疫》是荒诞主义代表作家、"存在主义"文学大师加缪的代表作。该文从作品的人物、背景、情感三方面对比分析新冠肺炎疫情防控时期三种主要情感:人们的恐惧、流放感和同理心。 相似文献
15.
Vandana Tiwari Jyotsna Agarwal Anumesh Kumar Pathak Shivani Singh 《Indian journal of clinical biochemistry : IJCB》2023,38(2):212
Immune dysregulation is a key feature of the coronavirus disease-2019 (COVID-19). However, disparities in responses across ethnic groups are underappreciated. This study aimed to determine the relationship between chemokines and cytokines and the severity of COVID-19. Multiplex magnetic bead-based Luminex-100 was used to assess chemokine and cytokine levels in COVID-19 patients at admission (day-1) and after 4 days. The mean age of the patients recruited was 54.3 years, with 19 (63.3%) males. COVID-19 patients had significantly lower lymphocyte, monocyte, hemoglobin and eosinophil levels than controls (p < 0.05). COVID-19 patients showed significantly higher neutrophil levels than controls (p < 0.05). The baseline levels of IL-2, IL-6, IL-8, IL-10, and IFN-α/γ significantly increased in COVID-19 patients (p < 0.05). Chemokine levels (IP-10, MCP-1, MIG, and CCL-5) were significantly in COVID-19 patients. IL-8, IP-10, and MIG levels were significantly higher in the patients with severe COVID-19 (p < 0.05). Individuals with mild COVID-19 showed significantly higher levels of INF-α, IL-2, IL-6, and IL-8, whereas IL-10 levels were significantly lower (p < 0.05). TNF-levels decreased significantly in individuals with severe COVID-19, whereas IL-6, IL-8, and MIG levels increased (p < 0.05). After 4 days, INFα-, IL-2, IL-6, IL-8, IP-10, and MIG levels were significantly higher in patients with mild disease, whereas IL-6, MIG, and TNF-αlevels were significantly higher in patients with severe disease (p < 0.05). Thus, we conclude that COVID-19 is characterized by INF-α/γ, IL-6, IL-10, IP-10, MCP-1, MIG, and CCL5 dysregulation. IL-8, MIG, and IP-10 levels distinguish between moderate and severe COVID-19. Changes in INF-α, IL-2, IL-6, IL-8, IP-10, and MIG levels can be used to monitor disease progression.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12291-022-01108-x. 相似文献
16.
The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study. 相似文献
17.
Roberto Assandri Silvia Accordino Ciro Canetta Elisabetta Buscarini Alessandro Scartabellati Chiara Tolassi Federico Serana 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2022,32(2)
IntroductionSeveral laboratory tests are characteristically altered in Coronavirus Disease 2019 (COVID-19), but are not totally accurate in predicting the disease outcome. The long pentraxin 3 (PTX3) is quickly released directly at inflammation sites by many immune cell types. Previous studies have shown that PTX3 correlated with disease severity in various inflammatory conditions. Our study investigated the use of PTX3 as a potential marker of COVID-19 severity and compared its performance in detecting a more severe form of the disease with that of routine laboratory parameters.Materials and methodsStored serum samples of RT-PCR confirmed COVID-19 cases that had been obtained at hospital admission were retrospectively analysed. Intensive care unit (ICU) stay was considered a surrogate endpoint of severe COVID-19. Pentraxin 3 was measured by a commercial enzyme-linked immunosorbent assay.ResultsA total of 96 patients were recruited from May 1st, 2020 to June 30th, 2020; 75/96 were transferred to ICU. Pentraxin 3 was higher in ICU vs non-ICU patients (35.86 vs 10.61 ng/mL, P < 0.001). Univariate and multivariate logistic regression models demonstrated that the only significant laboratory predictor of ICU stay was PTX3 (OR: 1.68 (1.19-2.29), P = 0.003), after controlling for comorbidities. The Receiver Operator Characteristic curve analysis showed that PTX3 had a higher accuracy compared to C-reactive protein (CRP), lactate dehydrogenase (LD), ferritin in identifying ICU patients (AUC of PTX3 = 0.98; CRP = 0.66; LD = 0.70; ferritin = 0.67, P < 0.001). A cut-off of PTX3 > 18 ng/mL yielded a sensitivity of 96% and a specificity of 100% in identifying patients requiring ICU.ConclusionHigh values of PTX3 predict a more severe COVID-19. 相似文献
18.
该文结合新冠肺炎疫情防控期间开展网络教学实践的体会,就网络教学的必要性、存在的不足及如何改进网络课堂教学效果、提高教学质量进行了系统梳理,为进一步促进网络教学工作发展、提升教育教学工作水平、保证教学工作质量提供参考。 相似文献
19.
Anita Somborac Ba
ura Marija Doroti&#x; Leonarda Gro&#x;i&#x; Monika Dimbeg Slavica Dodig 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2021,31(2)
Early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and diagnosis of coronavirus disease 2019 (COVID-19) are priorities during the pandemic. Symptomatic and suspected asymptomatic individuals should be tested for COVID-19 to confirm infection and to be excluded from social interactions. As molecular testing capacity is overloaded during the pandemic, rapid antigen tests, such as lateral flow immunoassays (LFIAs), can be a useful tool as they allow greater test availability and obtain results in a very short time. This short review aims to present the analytical properties of LFIAs in the detection of SARS-CoV-2 in nasopharyngeal swabs. Lateral flow immunoassay is a method that combines thin-layer chromatography and indirect immunochemical sandwich method and allows the detection of a specific SARS-CoV-2 antigen in nasopharyngeal swabs. Swab specimens should be adequately collected and tested as soon as possible. Users should pay attention to quality control and possible interferences. Antigen tests for SARS-CoV-2 show high sensitivity and specificity in cases with high viral loads, and should be used up to five days after the onset of the first symptoms of COVID-19. False positive results may be obtained when screening large populations with a low prevalence of COVID-19 infection, while false negative results may happen due to improper specimen collection or insufficient amount of antigen in the specimen. So as to achieve reliable results, a diagnostic accuracy study of a specific rapid antigen test should be performed. 相似文献
20.
Pushpendra Singh Kuldeep Sharma Dipika Shaw Anudita Bhargava Sanjay Singh Negi 《Indian journal of clinical biochemistry : IJCB》2023,38(4):418
Human Coronaviruses (hCoVs) belongs to the enormous and dissimilar family of positive-sense, non-segmented, single-stranded RNA viruses. The RNA viruses are prone to high rates of mutational recombination resulting in emergence of evolutionary variant to alter various features including transmissibility and severity. The evolutionary changes affect the immune escape and reduce effectiveness of diagnostic and therapeutic measures by becoming undetectable by the currently available diagnostics and refractory to therapeutics and vaccines. Whole genome sequencing studies from various countries have adequately reported mosaic recombination between different lineage strain of SARS-CoV-2 whereby RNA dependent RNA polymerase (RdRp) gene reconnects with a homologous RNA strand at diverse position. This all lead to evolutionary emergence of new variant/ lineage as evident with the emergence of XBB in India at the time of writing this review. The continuous periodical genomic surveillance is utmost required for understanding the various lineages involved in recombination to emerge into hybrid variant. This may further help in assessing virus transmission dynamics, virulence and severity factor to help health authorities take appropriate timely action for prevention and control of any future COVID-19 outbreak. 相似文献