scholarly journals Summaries, Analysis and Simulations of COVID-19 Epidemics in Shanghai

2022 ◽  
Author(s):  
Lequan Min
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Turning Point ◽  
Symptomatic Infection ◽  
Blocking Rate ◽  
Simulation Results ◽  
And Control

Shanghai is the best city to prevent the spread of COVID-19 infection in China. Since February 20, 2020, Shanghai has experienced five waves of COVID-19. Out of a total of 388 patients with COVID-19 symptoms, 381 were cured and seven died. Medical staff achieved zero infection. This paper summarizes, analyzes and simulates COVID-19 epidemics in Shanghai. The simulation results show that for five waves of epidemics, after reaching the infection turning point, the blocking rate of symptomatic infection is over 99%. The administration needs to maintain the prevention and control implemented 7 days after reaching the infection turning point until the new infection goes away.

scholarly journals Integrated management is effective in the prevention and control of COVID-19 in the blood purification center: joint efforts from multiple departments

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jinmei Yin ◽  
Jun Yin ◽  
Zhiwu Tian ◽  
Peiqiu Li ◽  
Xiaoqiu Chen
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Integrated Management ◽  
Medical Personnel ◽  
Blood Purification ◽  
Medical Department ◽  
Effective Prevention ◽  
Dialysis Center ◽  
Education Of Patients ◽  
And Control

Abstract Background During the outbreak of new coronavirus pneumonia, many hospitals in China became the designated hospitals for the treatment of new coronavirus pneumonia. The goal was to develop rapid and effective prevention and control methods for blood purification centers. Research design and methods The medical department, hospital department, nursing department, and blood purification center jointly set up a multi-department integrated COVID-19 prevention and control management team to manage the blood purification center. The efforts included the establishment of the continuous renal replacement therapy (CRRT) team for COVID-19, the integrated training and assessment of medical personnel, the integrated education of patients and their families, and the integrated management of the workflow of the hemodialysis room. Results No infected persons, including medical staff, patients, and their families, have been found in the dialysis center. After multi-departmental integrated training, the theoretical performance of medical staff in our dialysis center has increased from 82.36 ± 8.10 to 95.29 ± 4.95 (p < 0.05), and the unqualified rate dropped from 23.21 to 1.78% (p < 0.05). In addition, the three operational skills evaluation scores have also been significantly improved, from 86.00 ± 4.02, 88.01 ± 6.20, 92.01 ± 2.46 to 95.90 ± 0.30, 97.21 ± 0.87, 96.00 ± 1.00 (p < 0.01), and the passing rate from 80.36 to 100% (p < 0.05). Conclusion Medical staff’s knowledge of novel coronavirus pneumonia prevention and control can be improved by multi-sectoral integrated management, and CRRT treatment of COVID-19 patients is effective.

scholarly journals Consideration of the Management of Pediatric Fever Clinics During the Novel Coronavirus Pneumonia Outbreak

2020 ◽  
pp. 1-7
Author(s):  
Hui Ding ◽  
Zhaoling Shi ◽  
Zhen Ruan ◽  
Xiaoning Cheng ◽  
Ruying Li ◽  
...  
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Cross Infection ◽  
The Novel ◽  
Wuhan City ◽  
Control Programs ◽  
Treatment And Prevention ◽  
Epidemic Period ◽  
Novel Coronavirus ◽  
And Control

ABSTRACT Since the outbreak of 2019 novel coronavirus (2019-nCoV) infection in Wuhan City, China, pediatric cases have gradually increased. It is very important to prevent cross-infection in pediatric fever clinics, to identify children with fever in pediatric fever clinics, and to strengthen the management of pediatric fever clinics. According to prevention and control programs, we propose the guidance on the management of pediatric fever clinics during the nCoV pneumonia epidemic period, which outlines in detail how to optimize processes, prevent cross-infection, provide health protection, and prevent disinfection of medical staff. The present consideration statement summarizes current strategies on the pre-diagnosis, triage, diagnosis, treatment, and prevention of 2019-nCoV infection, which provides practical suggestions on strengthening the management of pediatric fever clinics during the nCoV pneumonia epidemic period.

scholarly journals Letter: Strategies for Prevention and Control of 2019 Novel Coronavirus Infection Among Medical Staff

Neurosurgery ◽  
2020 ◽  
Vol 87 (1) ◽  
pp. E57-E62 ◽  
Author(s):  
Xuan Wang ◽  
Min-Jie Wang ◽  
Xiao-Bing Jiang ◽  
Hai-Jun Wang ◽  
Hong-Yang Zhao
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
And Control

scholarly journals Modelling, Simulations and Analysis of the First COVID-19 Epidemic in Shanghai

2021 ◽  
Author(s):  
Lequan Min
Keyword(s):  
Numerical Simulations ◽  
Prevention And Control ◽  
Control Strategies ◽  
Equation Model ◽  
Control Measures ◽  
Differential Equation Model ◽  
Blocking Rate ◽  
Prevention And Control Measures ◽  
Asymptomatic Individuals ◽  
And Control

To date, over 178 million people on infected with COVID-19. It causes more 3.8 millions deaths. Based on a previous symptomatic-asymptomatic-recoverer-dead differential equation model (SARDDE) and the clinic data of the first COVID-19 epidemic in Shanghai, this paper determines the parameters of SARDDE. Numerical simulations of SARDDE describe well the outcomes of current symptomatic individuals, recovered symptomatic individuals, and died individuals, respectively. The numerical simulations suggest that both symptomatic and asymptomatic individuals cause lesser asymptomatic spread than symptomatic spread; blocking rate of about 95.5\% cannot prevent the spread of the COVID19 epidemic in Shanghai. The strict prevention and control strategies implemented by Shanghai government is not only very effective but also completely necessary. The numerical simulations suggest also that using the data from the beginning to the day after about 19 days at the turning point can estimate well the following outcomes of the COVID-19 academic. It is expected that the research can provide better understanding, explaining, and dominating for epidemic spreads, prevention and control measures.

scholarly journals Risk of COVID-19 Infection Among Medical Recorders: a Descriptive Study in Central Java Province

2021 ◽  
Vol 12 (3) ◽  
pp. 229-240
Author(s):  
Tiara Fani ◽  
Kriswiharsi Kun Saptorini ◽  
Retno Astuti Setijaningsih ◽  
Nimas Arum Titisari
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Descriptive Study ◽  
Infection Prevention And Control ◽  
Healthcare Facilities ◽  
Central Java ◽  
Socio Demographic Factors ◽  
And Control ◽  
Central Java Province

Covid infection risks among non-medical staff in healthcare facilities may not be as high as physicians and nurses. However, healthcare facilities should understand infection risk among non-medical staff who works during the pandemic. This study describes several factors associated with Covid-19 infection among medical recorders. A descriptive study with a cross-sectional approach observed 124 medical record officers in Central Java Province from January to June 2021. This study measured socio-demographic factors, job characteristics, infection prevention and control (IPC) efforts, and Covid-19 infection through an online questionnaire with Kobotoolbox. Data analyze performed in descriptive and bivariate analysis. Most respondents said personal protective equipment (PPE) availability was adequate and had received IPC training. Socio-demographic factors, PPE availability, IPC training, and occupation were significantly unrelated to covid 19 infections. Having infected co-workers was related to covid 19 transmissions. Covid-19 cases proportion mostly in respondents who work in type C and D hospitals, never or rarely available PPE, received IPC training, worked <7 hours/day, and medical record staff.  Healthcare facilities should pay more attention to PPE availability and other infection prevention and control for medical recorder staff. Further research should assess the contact history of workers with positive covid 19 both in or outside their workplace and their activities outside their workplace, PPE use compliance, and IPC training time.

scholarly journals Multi-chain Fudan-CCDC model for COVID-19 – a revisit to Singapore’s case

2020 ◽  
Author(s):  
Hanshuang Pan ◽  
Nian Shao ◽  
Yue Yan ◽  
Xinyue Luo ◽  
Shufen Wang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Penalty Function ◽  
Prevention And Control ◽  
World Wide ◽  
Data Fitting ◽  
Chain Model ◽  
Single Chain ◽  
Simulation Results ◽  
Different Characteristics ◽  
And Control

AbstractBackgroundCOVID-19 has been impacting on the whole world critically and constantly since late December 2019. Rapidly increasing infections has raised intense world-wide attention. How to model the evolution of COVID-19 effectively and efficiently is of great significance for prevention and control.MethodsWe propose the multi-chain Fudan-CCDC model based on the original single-chain model in [8] to describe the evolution of COVID-19 in Singapore. Multi-chains can be considered as the superposition of several single chains with different characteristics. We identify parameters of models by minimizing the penalty function.ResultsThe numerical simulation results exhibit the multichain model performs well on data fitting. Though unsteady the increments are, they could still fall within the range of ±25% fluctuation from simulation results. It is predicted by multi-chain models that Singapore are experiencing a nonnegligible risk of explosive outbreak, thus stronger measures are urgently needed to contain the epidemic.ConclusionThe multi-chain Fudan-CCDC model provides an effective way to early detect the appearance of imported infectors and super spreaders and forecast a second outbreak. It can also explain the data in those countries where the single-chain model shows deviation from the data.

scholarly journals Multi-chain Fudan-CCDC model for COVID-19 in Iran

2020 ◽  
Author(s):  
Hanshuang Pan ◽  
Nian Shao ◽  
Yue Yan ◽  
Xinyue Luo ◽  
Ali Ahmadi ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Prevention And Control ◽  
Data Fitting ◽  
Chain Model ◽  
Single Chain ◽  
Epidemic Curve ◽  
The World ◽  
Simulation Results ◽  
Fitting In ◽  
And Control

AbstractBackgroundCOVID-19 has been deeply affecting people’s lives all over the world. It is significant for prevention and control to model the evolution effectively and efficiently.MethodsWe first propose the multi-chain Fudan-CCDC model which is based on the original Fudan-CCDC model to describe the revival of COVID-19 in some countries. Multi-chains are considered as the superposition of distinctive single chains. Parameter identification is carried out by minimizing the penalty function.ResultsFrom results of numerical simulations, the multi-chain model performs well on data fitting and reasonably interprets the revival phenomena. The band of ±25% fluctuation of simulation results could contain most seemly unsteady increments.ConclusionThe multi-chain model has better performance on data fitting in revival situations compared with the single-chain model. It is predicted by the three-chain model with data by Apr 21 that the epidemic curve of Iran would level off on round May 10, and the final cumulative confirmed cases would be around 88820. The upper bound of the 95% confidence interval would be around 96000.

Investigation and Analysis of the Psychological Status of Medical Staff during the COVID-19

2021 ◽  
Vol 7 (6) ◽  
pp. 6023-6028
Author(s):  
Song Jian ◽  
Meng Ya ◽  
Feng Zehui ◽  
Zhang Qian ◽  
Ronnell D. Dela Rosa ◽  
...  
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Research Method ◽  
Control Period ◽  
Psychological Support ◽  
Psychological Status ◽  
Psychological State ◽  
Front Line ◽  
First Line ◽  
And Control

Objectives: To investigate the psychological state of front-line medical staff during the prevention and control of COVID-19, in order to provide effective psychological support and social intervention, and to provide reference ideas. Methods The research method was a cross-sectional research method. The convenience sampling method was adopted to select 156 first-line medical staff during the prevention and control period of the COVID-19. The online survey scale developed by the "Questionnaire Star" was used to investigate the psychological state of the first-line medical staff. Results There were significant differences in the overall status of depression, anxiety, and stress among front-line medical staff in terms of gender, education level, professional title status, children’s status, and working years (P<0.05); among the five dimensions of mental state, the fear and worry dimension scored the highest. The overall confidence dimension score was the lowest (P<0.05). According to Pearson correlation analysis, the overall confidence of front-line medical staff is related to the dimensions of fear and worry, hospital support, and psychological support (P<0.05); while fear and worry are mainly related to hospital support and psychological support (P<0.05). Front-line medical staff all have different degrees of depression and anxiety. The incidence of depression is 71.15%, and the incidence of depression is 30.77%. The incidence of anxiety is 74.36%, and the incidence of anxiety is 58.97%. Conclusion During the prevention and control of COVID-19, the psychological conditions of front-line medical staff are worrying. Therefore, it is advisable to formulate corresponding management and intervention measures to help medical staff survive the psychological crisis and ensure the smooth progress of the prevention and control of the new crown pneumonia epidemic.

Method of the Safety Early Warning on Hazard Installations

2010 ◽  
Vol 34-35 ◽  
pp. 806-810
Author(s):  
Jing Zhang
Keyword(s):  
Quantitative Analysis ◽  
Early Warning ◽  
Prevention And Control ◽  
Processing System ◽  
Actual Situation ◽  
Information Processing Model ◽  
Effective Combination ◽  
Simulation Results ◽  
And Control ◽  
And Diffusion

The early warning can improve the monitoring and management of the hazard installations, realize the prevention and control in advance. Many early warning methods do not have the forecast and simulation of the hazard consequences and early warning information is not comprehensive. The hazard installations warning process and hazard assessment technology are analyzed and studied, and qualitative analysis and quantitative analysis are carried out. With the effective combination of hazard consequences and early warning technology, the processing system of hazard installation early warning process information is presented, the hazard installation early warning information processing model is designed, the hazard installation early warning is improved, and the accuracy and efficiency of early warning is improved. With examples, the hazard consequences of leak and diffusion are simulated. Experiments prove that the early warning simulation structure and early warning method are effective, and that the simulation results are close to the actual situation with better application value.

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