scholarly journals Comparison between two types of control strategies for the coronavirus disease 2019 pandemic

2020 ◽  
Vol 14 (07) ◽  
pp. 696-698
Author(s):  
Xiaoyan Zhang ◽  
Yuxuan Wang
Keyword(s):  
Comparative Analysis ◽  
Severe Acute Respiratory Syndrome ◽  
Control Strategy ◽  
Prevention And Control ◽  
Control Strategies ◽  
Influenza Pandemic ◽  
Control Measures ◽  
Effective Control ◽  
Epidemic Control ◽  
And Control

Different countries have employed various strategies for controlling the coronavirus disease (COVID-19) pandemic because there is no consensus regarding effective control measures in the literature. Epidemic control strategies can be classified into two types based on their characteristics. The first type is the “severe acute respiratory syndrome (SARS)-like epidemic control strategy,” i.e., containment. The second type is the “influenza pandemic-like epidemic control strategy” (flu pandemic-like strategy), i.e., mitigation. This paper presents a comparative analysis on the prevention and control strategies for COVID-19 in different countries to provide a reference to control the further spread of the pandemic.

scholarly journals Effects of medical resource capacities and intensities of public mitigation measures on outcomes of COVID-19 outbreaks

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xia Wang ◽  
Qian Li ◽  
Xiaodan Sun ◽  
Sha He ◽  
Fan Xia ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Control Strategies ◽  
Control Measures ◽  
Mitigation Measures ◽  
Effective Control ◽  
Medical Resource ◽  
Key Factors ◽  
Medical Resources ◽  
Detection Rates ◽  
And Control

Abstract Background The COVID-19 pandemic is complex and is developing in different ways according to the country involved. Methods To identify the key parameters or processes that have the greatest effects on the pandemic and reveal the different progressions of epidemics in different countries, we quantified enhanced control measures and the dynamics of the production and provision of medical resources. We then nested these within a COVID-19 epidemic transmission model, which is parameterized by multi-source data. We obtained rate functions related to the intensity of mitigation measures, the effective reproduction numbers and the timings and durations of runs on medical resources, given differing control measures implemented in various countries. Results Increased detection rates may induce runs on medical resources and prolong their durations, depending on resource availability. Nevertheless, improving the detection rate can effectively and rapidly reduce the mortality rate, even after runs on medical resources. Combinations of multiple prevention and control strategies and timely improvement of abilities to supplement medical resources are key to effective control of the COVID-19 epidemic. A 50% reduction in comprehensive control measures would have led to the cumulative numbers of confirmed cases and deaths exceeding 590,000 and 60,000, respectively, by 27 March 2020 in mainland China. Conclusions Multiple data sources and cross validation of a COVID-19 epidemic model, coupled with a medical resource logistic model, revealed the key factors that affect epidemic progressions and their outbreak patterns in different countries. These key factors are the type of emergency medical response to avoid runs on medical resources, especially improved detection rates, the ability to promote public health measures, and the synergistic effects of combinations of multiple prevention and control strategies. The proposed model can assist health authorities to predict when they will be most in need of hospital beds and equipment such as ventilators, personal protection equipment, drugs, and staff.

scholarly journals Effects of medical resource capacities and intensities of public mitigation measures on outcomes of COVID-19 outbreaks

2020 ◽  
Author(s):  
Xia Wang ◽  
Qian Li ◽  
Xiaodan Sun ◽  
Sha He ◽  
Fan Xia ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Control Strategies ◽  
Control Measures ◽  
Mitigation Measures ◽  
Effective Control ◽  
Medical Resource ◽  
Medical Resources ◽  
Detection Rates ◽  
Medical Response ◽  
And Control

AbstractThe COVID-19 pandemic is complex and is developing in different ways according to the country involved. To identify the key parameters or processes that have the greatest effects on the pandemic and reveal the different progressions of epidemics in different countries, we quantified enhanced control measures and the dynamics of the production and provision of medical resources. We then nested these within a COVID-19 epidemic transmission model, which is parameterized by multi-source data. We obtained rate functions related to the intensity of mitigation measures, the effective reproduction numbers and the timings and durations of runs on medical resources, given differing control measures implemented in various countries. Increased detection rates may induce runs on medical resources and prolong their durations, depending on resource availability. Nevertheless, improving the detection rate can effectively and rapidly reduce the mortality rate, even after runs on medical resources. Combinations of multiple prevention and control strategies and timely improvement of abilities to supplement medical resources are key to effective control of the COVID-19 epidemic. A 50% reduction in comprehensive control measures would have led to the cumulative numbers of confirmed cases and deaths exceeding 590000 and 60000, respectively, by 27 March 2020 in mainland China. The proposed model can assist health authorities to predict when they will be most in need of hospital beds and equipment such as ventilators, personal protection equipment, drugs and staff.One sentence summaryMultiple data sources and cross validation of a COVID-19 epidemic model, coupled with a medical resource logistic model, reveal that the key factors that affect epidemic progressions and their outbreak patterns in different countries are the type of emergency medical response to avoid runs on medical resources, especially improved detection rates, the ability to promote public health measures, and the synergistic effects of combinations of multiple prevention and control strategies.

scholarly journals The Saudi Infection Control Guidance for Re-opening Dental Services in Governmental and Private Sectors During Coronavirus Disease-2019 Pandemic

2021 ◽  
Vol 15 (1) ◽  
pp. 64-70
Author(s):  
Ali AlAhdal ◽  
Haila Al-Huraishi ◽  
Ahmad Almalag ◽  
Adel Alrusayes ◽  
Saud M Orfali
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Infection Control ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Dental Treatment ◽  
Dental Health ◽  
Control Measures ◽  
Infection Prevention And Control ◽  
Dental Services ◽  
And Control

Objective: Novel newly discovered coronavirus, also known as severe acute respiratory syndrome coronavirus-2, is a recently emerging virus that has been rapidly spreading globally since December 2019. Due to the vicinity inoro-dental treatment and aerosol production, people inside the dental office are at high risk of being infected with severe acute respiratory syndrome coronavirus-2. This guideline aims to protect the dental health-care workers during their plans to re-open and increasingly continue their routine services until further notice from their governing body. Methods: A panel of experts in dentistry and infection prevention and control reviewed the local and global research and guidelines related to infection prevention and control during coronavirus disease-2019, along with the re-opening guidance provided by different entities. Results: Such a document might either be adopted or adapted to any regional and international organization that wishes to use a revised professional guideline in infection prevention and control dental services. Conclusion: A careful re-opening plan should be developed and implemented, including strict infection control measures before resuming the dental practice.

scholarly journals Epidemiology of Bovine Mastitis and its Diagnosis, Prevention, and Control

2021 ◽  
Author(s):  
S.D. Audarya ◽  
D. Chhabra ◽  
R. Sharda ◽  
R. Gangil ◽  
R. Sikrodia ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Control Strategies ◽  
Significant Proportion ◽  
Bovine Mastitis ◽  
The State ◽  
Madhya Pradesh ◽  
Control Measures ◽  
Prevention And Control Measures ◽  
Etiological Agents ◽  
And Control

Mastitis is an inflammation of mammary glands that is prevalent in dairy bovines. It causes a significant proportion of economic losses to the dairy farmers in India. Cattle and buffalo farming contribute significantly to the economy of the state. Various infectious agents such as bacteria, fungi, and algae may cause mastitis. Hence, it is essential to understand the etiological agents and predisposing factors that lead to mastitis in susceptible bovine populations in Madhya Pradesh state so that appropriate prevention and control strategies can be implemented. In this chapter, epidemiology, diagnosis, prevention, and control measures of mastitis in general and in India, the state of Madhya Pradesh, in particular, will be presented.

scholarly journals Epidemic prevention and control measures in China significantly curbed the epidemic of COVID-19 and influenza

2020 ◽  
Author(s):  
Xiang-Sha Kong ◽  
Feng Liu ◽  
Hai-Bo Wang ◽  
Rui-Feng Yang ◽  
Dong-Bo Chen ◽  
...  
Keyword(s):  
Respiratory Tract ◽  
Prevention And Control ◽  
Virus Disease ◽  
Control Strategies ◽  
Mainland China ◽  
Control Measures ◽  
Spring Festival ◽  
Railway Passenger ◽  
Prevention And Control Measures ◽  
And Control

AbstractAt the end of 2019, an outbreak of unknown pathogen pneumonia occurred in China, then it was named corona virus disease 2019 (COVID-19). With the rapid spread of COVID-19, a series of strict prevention and control measures were implemented to cut the spread of the epidemic. Influenza as a respiratory tract infection disease as COVID-19 might also be controlled. To assess the effects, we used the total passenger numbers sent in mainland China from 2018 to 2020 and the daily number of railway passenger (DNRP) flow in 2020 during Spring Festival travel rush to reflect the population movement and further to analyze newly and cumulative confirmed COVID-19 and influenza. We found that with implementing the series measures on COVID-19, not only COVID-19, but also influenza mitigated in China. The prevention and control measures for COVID-19 might be used in controlling respiratory tract diseases, and reducing the national health economic burden. When other countries issue measures on COVID-19 and influenza, they should consider adopting more aggressive epidemic prevention and control strategies.

scholarly journals Modelling, Simulations and Analysis of the First and Second COVID-19 Epidemics in Beijing

2021 ◽  
Author(s):  
Lequan Min
Keyword(s):  
Numerical Simulations ◽  
Prevention And Control ◽  
Control Strategies ◽  
Equation Model ◽  
Control Measures ◽  
Disease Spreading ◽  
Prevention And Control Measures ◽  
Asymptomatic Individuals ◽  
Reported Data ◽  
And Control

AbstractTo date, over 130 million people on infected with COVID-19. It causes more 2.8 millions deaths. This paper introduces a symptomatic-asymptomatic-recoverer-dead differential equation model (SARDDE). It gives the conditions of the asymptotical stability on the disease-free equilibrium of SARDDE. It proposes the necessary conditions of disease spreading for the SARDDE. Based on the reported data of the first and the second COVID-19 epidemics in Beijing and simulations, it determines the parameters of SARDDE, respectively. Numerical simulations of SARDDE describe well the outcomes of current symptomatic and asymptomatic individuals, recovered symptomatic and asymptomatic 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 90% cannot prevent the spread of the COVID19 epidemic in Beijing; the strict prevention and control strategies implemented by Beijing 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 two weeks at the turning point can estimate well or approximately the following outcomes of the two COVID-19 academics, respectively. It is expected that the research can provide better understanding, explaining, and dominating for epidemic spreads, prevention and control measures.

scholarly journals Mathematical modeling and comparative analysis of the Ebola epidemic reveal effective control measures

2019 ◽  
Author(s):  
Junlong Li ◽  
Caiping Song ◽  
Jingya Yang ◽  
Jingmin Zheng ◽  
Lina Zhou ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Comparative Analysis ◽  
Sierra Leone ◽  
Development Process ◽  
Ebola Virus ◽  
Virus Disease ◽  
Control Measures ◽  
Effective Control ◽  
Epidemic Outbreak ◽  
And Control

Abstract The Ebola virus disease (EVD) is a highly contagious disease which is caused by the Ebola virus . Various measures were used to prevent and control the spread of EVD. The aim of this study was to find out the most critical measures to prevent and control the spread of EVD. Both mathematical modeling and comparative analysis were used to explore the development process of EVD outbreak in Guinea, Liberia and Sierra Leone. The results of comparative analysis showed quarantined individuals before infection (R 2 = 0.848, ε = 1.012), safe burial teams (R 2 = 0.772, ε = 0.385), and the Ebola treatment units (ETU) bed (R 2 = 0.690, ε = 0.432) could significantly influence the incidence of EVD which were consistent with the results of mathematical modeling. These findings indicted that a timely and effective quarantine played a significant role in preventing and controlling the spread of EVD, and the findings would help us prevent and control the epidemic outbreak of new infectious disease in the future.

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 When do big problems far away become smaller than the problems closer to home: Lessons for antimicrobial resistance from Father Ted

2019 ◽  
Author(s):  
Tjibbe Donker ◽  
Katie L. Hopkins ◽  
Susan Hopkins ◽  
Berit Muller-Pebody ◽  
Tim E.A. Peto ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Control Strategy ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Control Strategies ◽  
Absolute Number ◽  
Infection Prevention And Control ◽  
Admission Screening ◽  
Imported Cases ◽  
And Control

AbstractInfection prevention and control strategies aimed at reducing the occurrence of Carbapenemase-Producing Enterobacteriaceae (CPE) and other antimicrobial-resistant organisms often include advice about screening patients coming from hospitals with a known resistance problem, to prevent introductions into new hospitals by shared patients. We argue that, despite being an efficient method of identifying cases, admission screening for introduction prevention is only effective if the absolute number of imported cases from other hospitals outnumbers the cases coming from the hospital’s own patient population, and therefore is only a feasible control strategy during the start of an epidemic. When determining whether import screening is still advisable, we therefore need to be continuously reminded of how Father Ted so eloquently summarised the principles of perspective: “These are small, but the ones out there are far away”.

scholarly journals Prevention and Control Strategy of Reader Factors in Safety Management of Electronic Reading Room

2021 ◽  
Vol 5 (5) ◽  
pp. 20-24
Author(s):  
Yanping Dong
Keyword(s):  
Control Strategy ◽  
Prevention And Control ◽  
Safety Management ◽  
Control Strategies ◽  
Reading Room ◽  
Effective Prevention ◽  
Management Level ◽  
Electronic Reading ◽  
Specific Safety ◽  
And Control

Many libraries have built and opened the electronic reading room, electronic reading room security management has been paid more and more attention. In the specific safety management, the prevention and control of reader factors is very important. By comparing and analyzing the prevention and control of reader factors in the safety management of some electronic reading rooms, it can be found that the corresponding prevention and control situation is not ideal, and even there are some obvious problems, which also leads to great hidden dangers in the safety management level. This paper will specifically analyze the prevention and control of reader factors in the safety management of electronic reading room, and put forward more effective prevention and control strategies.

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