scholarly journals Construction of the Joint Prevention and Control Management System in the General Ward under Corona Virus Disease 2019

2020 ◽  
Vol 82 ◽  
Author(s):  
SHU FANG HUANG ◽  
L. CHEN ◽  
Y. HU ◽  
JIE MEI TANG ◽  
BI XIA ZHAO
Keyword(s):  
Management System ◽  
Prevention And Control ◽  
Virus Disease ◽  
General Ward ◽  
Corona Virus ◽  
And Control ◽  
Control Management System ◽  
Control Management

Digital Mining Control Management System in an Open Pit Based on GIS/GPS/GPRS

2011 ◽  
Vol 467-469 ◽  
pp. 207-211
Author(s):  
Shi Gun Jing ◽  
Fa Ben Li ◽  
Xin Ma
Keyword(s):  
Global Positioning System ◽  
Management System ◽  
Programming Model ◽  
Open Pit ◽  
General Packet Radio Service ◽  
Global Positioning ◽  
Set Up ◽  
And Control ◽  
Control Management System ◽  
Control Management

Using GIS(Geographic Information System), GPS(Global Positioning System), and GPRS(General Packet Radio Service), an digital mining control management system in an open pit has been designed and developed. A linear programming model is set up in a practical application. By the model, the system can automatically draw up production plan of ore blending well every day. The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths. It can monitor and control the process of mining production in real time. The system can also count the number of trucks’ delivery and shovels’ loading automatically. Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of ore blending in open pits.

scholarly journals Knowledge and practice of infection prevention and control among healthcare workers: a COVID-19 pandemic experience

2020 ◽  
Vol 24 (6) ◽  
pp. 596-602
Author(s):  
Rifat Yasmin ◽  
Huma Hussain ◽  
Syeda Turab Fatima Abidi ◽  
Syed Asim Ali Shah ◽  
Tazaeen Hina Kazmi ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Healthcare Workers ◽  
Infection Prevention ◽  
Virus Disease ◽  
Close Contact ◽  
Infection Prevention And Control ◽  
P Value ◽  
Corona Virus ◽  
Knowledge And Practice ◽  
And Control

Background: Coronavirus disease (COVID-19) is a global outbreak caused by novel SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). Study aims to evaluate knowledge and practices of healthcare workers (HCW) regarding infection prevention and control of corona virus disease Material and methods: A cross sectional validation study was conducted. Study was conducted at department of Medicine, Pakistan Ordinance Factory Hospital, Wah Cantt. Study duration was 2 months (May 2020-June2020)A sample size of 217 HCW was calculated using WHO calculator. HCW were selected through non probability sampling (consecutive). Ethical permission was taken and research consent was signed by each participant. SPSS version 24 was used for analysis purpose. Post stratification fissure exact and chi-square test was applied. We found p value ≤0.05 as statistically significant. Results: Total 217 HCW were included in our study. Out of them, 85 (39.2%) were male and 132 (60.8%) were female in our study. Mean age of HCW was 34.5±2.4SD. In knowledge assessment majority of HCW had fair knowledge (46.5%), followed by good (30%) and poor knowledge (23.5%) regarding corona virus associated infection control and prevention. In practice assessment, among all those, 38.2% HCW showed better practices while 61.8% showed poor practices. Knowledge is significantly associated with virus transmission mode (p = 0.00), close contact (p = 0.000), protection from COVID-19 in triage area (p = 0.000), wearing PPE (p = 0.000) etc. Conclusion: Corona virus disease is a major challenge in resource limited countries. Healthcare workers showed relatively improved knowledge and practices regarding infection prevention and control in this COVID-19 Pandemic. Key words: Corona virus disease, Healthcare workers, Infection Prevention and Control, Knowledge, Practices Citation: Yasmin R, Hussain H, Abidi STF, Shah SAA, Kazmi TH, Hussain H. Knowledge and practice of infection prevention and control among healthcare workers: a COVID-19 pandemic experience. Anaesth pain intensive care 2020;24 (6):597-602 Received: 8 November 2020, Reviewed: 17 November 2020, Accepted: 19 November 2020

scholarly journals The role of health managers in community prevention and control of Corona Virus Disease 2019

2021 ◽  
Vol 235 ◽  
pp. 01052
Author(s):  
Fahu Yuan ◽  
Jiangyuan Chen ◽  
Xiaoqing Chen ◽  
Zhongqiang Chen ◽  
Ying Zhai ◽  
...  
Keyword(s):  
Rural Communities ◽  
Prevention And Control ◽  
Health Management ◽  
Virus Disease ◽  
Effective Means ◽  
Social Stability ◽  
Corona Virus ◽  
And Control ◽  
Health Managers

Since the outbreak of Corona Virus Disease 2019 (COVID-19) in December 2019, more than 26 million people have been infected. Urban and rural communities are the first line of defense for epidemic prevention and control. As an effective means of disease prevention and control at the community level, health management is of great significance in how to give full play to the professional advantages of health managers at present, and in combination with the current urgent situation of lack of specific drugs and vaccines, to maintain the health and social stability of the community population to the maximum extent. By assessing and intervening the health risk factors of COVID-19, the health manager can help the community effectively control the source of covid-19 infection, cut off the transmission route of COVID-19, effectively protect the vulnerable population in the community, and thus delay the spread and spread of COVID-19.

scholarly journals Impact of the corona virus disease 2019 pandemic on physiotherapy services in Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daha Garba Muhammad ◽  
Jamila Suleiman Musa
Keyword(s):  
Prevention And Control ◽  
Design Methodology ◽  
Respiratory Diseases ◽  
Virus Disease ◽  
The Other ◽  
Content Type ◽  
Corona Virus ◽  
And Control ◽  
The Impact

PurposeThis study aimed to explain the impact of the corona virus disease 2019 (COVID-19) pandemic on physiotherapy services in Nigeria.Design/methodology/approachThis is a commentary piece.FindingsThe pandemic has potential of reducing efficacy of physiotherapy services. It also showed that the mental health of local physiotherapists was badly affected. On the other hand, the pandemic allowed physiotherapists to support infectious disease prevention and control and as well as providing awareness of the role of physiotherapy in the management of respiratory diseases.Originality/valueIt shows the effect of COVID-19 on physiotherapy care.

scholarly journals Epidemiological analysis of corona virus disease 2019 (COVID-19) in two cities in China based on public data

2020 ◽  
pp. 1-16
Author(s):  
Ning Zhou ◽  
Xiaomeng Zhang ◽  
Ying Zhang ◽  
Lu Gao ◽  
Penghui Zhou ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Virus Disease ◽  
Health Departments ◽  
Epidemiological Analysis ◽  
The Public ◽  
Corona Virus ◽  
Public Data ◽  
Two Cities ◽  
And Control

Abstract Based on the public data from the health departments of Tianjin and Shenzhen, we conducted a comparative analysis of the corona virus disease 2019 (COVID-19) epidemic situation between these two cities. The aim of this study was to evaluate the role of public data in epidemic prevention and control of COVID-19, providing a scientific advice for the subsequent mitigation and containment of COVID-19 prevalence.

scholarly journals Potential and limitation of AI system in building services and control management system

2021 ◽  
Vol 881 (1) ◽  
pp. 012044
Author(s):  
C. H. Wong ◽  
M.H. Abdul Samad ◽  
N. Taib
Keyword(s):  
Construction Industry ◽  
Management System ◽  
Risk Mitigation ◽  
Mitigation Cost ◽  
Building Management ◽  
Cost Minimisation ◽  
Building Management System ◽  
And Control ◽  
Control Management System ◽  
Control Management

Abstract In the construction industry, traditional method for analysing human comfort is time consuming. Thus, artificial intelligence (AI) has been slowly being applied in the software stimulation and building management system to solve the typical comfort analysis method. The potential and limitation of the AI system in the building service are presented through PRISMA review. The AI system enables the building service system to analysis in real-time, optimising energy efficiency, enhance occupant’s satisfaction, risk mitigation, cost minimisation and work efficiency increased. However, the AI system application in the building service still faces some challenges such as lack of big data and the varying parameter of data input in the software system, expensive initial cost and required expertise.

Sign in / Sign up

Export Citation Format

Share Document