[Application and reflection of laboratory-based monitoring in early warning of infectious diseases].

爆发 传染病(医学专业) 医学 预警系统 传输(电信) 疾病 预警系统 鼠疫(疾病) 大流行 流行病学 环境卫生 重症监护医学 病毒学 2019年冠状病毒病(COVID-19) 病理 计算机科学 电信
作者
Haijian Zhou,Zhi Gang Cui,Biao Kan
出处
期刊:PubMed 卷期号:56 (4): 401-404
标识
DOI:10.3760/cma.j.cn112150-20220225-00181
摘要

Despite the fact that our cognition towards infectious disease prevention, the advanced technology and the economic status of the whole society has made a great progress in the last decade, the outbreak of COVID-19 pneumonia has again enabled the public to acquire more about super-challenges of infectious diseases, epidemics and the relevant preventive measurements. In order to identify the epidemic signals in early stage or even before the onset of epidemic, the data research and utilization of a series of factors related to the occurrence and transmission of infectious diseases have played a significant role in research of prevention and control during the whole period of surveillance and early warning. Laboratory-based monitoring for the etiology has always been an important part of infectious disease warning system due to pathogens as the direct cause of such diseases. China has initially established a laboratory-based monitoring and early warning system for bacterial infectious diseases based on the Chinese Pathogen Identification Network with an aim to identify pathogens, outbreaks and sources. This network has played an essential role in early detection, tracking and precise prevention and control of bacterial infectious diseases, such as plague, cholera, and epidemic cerebrospinal meningitis. This issue focuses on the function of laboratory-based monitoring during the period of early warning, prevention, and control of bacterial infectious diseases, and conducted a wide range of researches based on the analysis of the epidemic and outbreak isolates, together with field epidemiological studies and normal monitoring systems. All of these could illustrate the effect of laboratory surveillance in the infectious disease risk assessment and epidemic investigation. At the same time, we have put forward our review and expectation of scenarios about laboratory-based monitoring and early warning technologies to provide innovative thoughts for promoting a leapfrog development of infectious disease monitoring and early warning system in China.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ww发布了新的文献求助10
刚刚
希望天下0贩的0应助wen采纳,获得10
1秒前
1秒前
2秒前
3秒前
前进四19发布了新的文献求助10
3秒前
4秒前
ylp完成签到,获得积分10
4秒前
carpybala发布了新的文献求助10
4秒前
费尔明娜完成签到,获得积分10
5秒前
yuxing应助chen采纳,获得30
6秒前
麦克完成签到,获得积分20
6秒前
科研通AI6.4应助舒适香露采纳,获得10
6秒前
6秒前
7秒前
研友_Lmb15n完成签到,获得积分10
8秒前
9秒前
前进四19完成签到,获得积分10
9秒前
乐乐应助123采纳,获得30
9秒前
李爱国应助GD采纳,获得10
9秒前
麦克发布了新的文献求助10
9秒前
科研通AI6.4应助万物生采纳,获得10
9秒前
Evie发布了新的文献求助10
9秒前
huoxing完成签到 ,获得积分10
10秒前
carpybala完成签到,获得积分10
10秒前
jenny发布了新的文献求助10
11秒前
boboo完成签到,获得积分10
12秒前
zzr完成签到 ,获得积分10
12秒前
Owen应助Guoct0916采纳,获得50
12秒前
Zbmd发布了新的文献求助10
13秒前
AkiYaYe完成签到 ,获得积分10
13秒前
13秒前
13秒前
13秒前
13秒前
13秒前
13秒前
神宝嘎li应助科研通管家采纳,获得10
13秒前
13秒前
高分求助中
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Cronologia da história de Macau 1600
Treatment response-adapted risk index model for survival prediction and adjuvant chemotherapy selection in nonmetastatic nasopharyngeal carcinoma 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Intentional optical interference with precision weapons (in Russian) Преднамеренные оптические помехи высокоточному оружию 1000
Atlas of Anatomy 5th original digital 2025的PDF高清电子版(非压缩版,大小约400-600兆,能更大就更好了) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6201714
求助须知:如何正确求助?哪些是违规求助? 8028683
关于积分的说明 16718352
捐赠科研通 5294508
什么是DOI,文献DOI怎么找? 2821352
邀请新用户注册赠送积分活动 1800911
关于科研通互助平台的介绍 1662848