scholarly journals Effect of large-scale testing platform in prevention and control of the COVID-19 pandemic: an empirical study with a novel numerical model

2020 ◽  
Author(s):  
xie qing ◽  
wang jing ◽  
you jianling ◽  
zhu shida ◽  
zhou rui ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Large Scale ◽  
Ad Hoc ◽  
Virus Detection ◽  
Nucleic Acid Testing ◽  
Transfer Coefficients ◽  
Differential Model ◽  
Large Scale Testing ◽  
Novel Coronavirus ◽  
And Control

A large-scale (>20,000 tests per day) standardized and fully-automated laboratory (Huo-Yan) was built as an ad-hoc measure to meet the requirement of virus detection after the novel coronavirus (COVID-19) outbreak in Wuhan, China. We integrated the brief data from Health Commission of Hubei Province and the real-world operation data of Huo-Yan laboratory, into a novel differential model with non-linear transfer coefficients and competitive compartments, to evaluate the trend of suspected cases under different nucleic acid testing capacities, including suspected cases with/without coronavirus infection, to evaluate the achievement of “daily settlement” condition of suspected cases and the control of the epidemic under different nucleic acid testing capacities.

scholarly journals Effect of large-scale testing platform in prevention and control of the COVID-19 pandemic: an empirical study with a novel numerical model

2020 ◽  
Author(s):  
Qing Xie ◽  
Jing Wang ◽  
Jianling You ◽  
Shida Zhu ◽  
Rui Zhou ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Prevention And Control ◽  
Large Scale ◽  
High Throughput Sequencing ◽  
Nucleic Acid Testing ◽  
Differential Model ◽  
Testing Platform ◽  
Public Data ◽  
And Control ◽  
The Impact

BackgroundChina adopted an unprecedented province-scale quarantine since January 23rd 2020, after the novel coronavirus (COVID-19) broke out in Wuhan in December 2019. Responding to the challenge of limited testing capacity, large-scale standardized and fully-automated laboratory (Huo-Yan) was built as an ad-hoc measure. There was so far no empirical data or mathematical model to reveal the impact of the testing capacity improvement since the quarantine.MethodsWe integrated public data released by the Health Commission of Hubei Province and Huo-Yan Laboratory testing data into a novel differential model with non-linear transfer coefficients and competitive compartments, to evaluate the trends of suspected cases under different nucleic acid testing capacities.ResultsWithout the establishment of Huo-Yan, the suspected cases would increased by 47% to 33,700, the corresponding cost of the quarantine would be doubled, and the turning point of the increment of suspected cases and the achievement of “daily settlement” (all daily new discovered suspected cases were diagnosed according to the nucleic acid testing results) would be delayed for a whole week and 11 days. If the Huo-Yan Laboratory ran at its full capacity, the number of suspected cases would decrease at least a week earlier, the peak of suspected cases would be reduced by at least 44% and the quarantine cost could be reduced by more than 72%. Ideally, if a daily testing capacity of 10,500 could achieved immediately after the Hubei lockdown, “daily settlement” for all suspected cases would be achieved immediately.ConclusionsLarge-scale and standardized clinical testing platform with nucleic acid testing, high-throughput sequencing and immunoprotein assessment capabilities need to be implemented simultaneously in order to maximize the effect of quarantine and minimize the duration and cost. Such infrastructure like Huo-Yan, is of great significance for the early prevention and control of infectious diseases for both common times and emergencies.

scholarly journals Multi-Objective Optimization of Integrated Civilian-Military Scheduling of Medical Supplies for Epidemic Prevention and Control

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Medical Services ◽  
The Novel ◽  
Multi Objective ◽  
Medical Supplies ◽  
Problem Instances ◽  
Novel Coronavirus ◽  
And Control ◽  
Minimum Ratio

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.

scholarly journals Comprehensive large-scale nucleic acid–testing strategies support China’s sustained containment of COVID-19

2021 ◽  
Author(s):  
Zhongjie Li ◽  
Fengfeng Liu ◽  
Jinzhao Cui ◽  
Zhibin Peng ◽  
Zhaorui Chang ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Large Scale ◽  
Nucleic Acid Testing ◽  
Testing Strategies

scholarly journals Empirical Research on the Application of Online Teaching in Chinese Colleges and Universities Under the Situation of Novel Coronavirus Pneumonia Prevention and Control

2020 ◽  
Vol 15 (11) ◽  
pp. 119 ◽  
Author(s):  
Tiejun Zhu
Keyword(s):  
Online Education ◽  
Prevention And Control ◽  
Online Teaching ◽  
Large Scale ◽  
Colleges And Universities ◽  
Chinese Government ◽  
Advantages And Disadvantages ◽  
Teachers And Students ◽  
Novel Coronavirus ◽  
And Control

At the turn of 2019-2020, a new epidemic broke out in China. China has entered the critical stage of epidemic prevention and control. And The severe situation has led to the failure of normal opening of new semester in Chinese colleges and universities. In order to effectively guarantee the education, teaching and talent cultivation in colleges and universities, the Ministry of education of China has rapidly put forward the requirements of launching online teaching. Therefore, under the situation of Novel Coronavirus Pneumonia (Hereinafter referred to as 2019-nCoV) prevention and control, online teaching in Chinese colleges and universities is widely used and develops rapidly. However, the demand for online education has been released in a short time and on a large scale, and each online teaching platform has encountered unprecedented pressure and challenges. In this regard, based on the situation of 2019-nCoV prevention and control in China, this paper demonstrates how the Chinese government deploy online teaching in an all-round way with specific measures, how the Chinese colleges and universities implement massive online teaching quickly, how teachers and students adapt to online teaching quickly. At the same time, this paper carries out empirical analysis to show the process and effectiveness of online teaching in Chinese colleges and universities in the unprecedented state of 2019-nCoV prevention and control with specific examples. On this basis, it analyzes and summarizes the advantages and disadvantages, so as to facilitate the later improvement and provide reference.

scholarly journals Heterogeneity and effectiveness analysis of COVID-19 prevention and control in major cities in China through time-varying reproduction numbers estimation

2020 ◽  
Author(s):  
Qing Cheng ◽  
Zeyi Liu ◽  
Guangquan Cheng ◽  
Jincai Huang
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Correlation Method ◽  
Control Measures ◽  
Time Varying ◽  
Reproduction Numbers ◽  
Short Period ◽  
Significant Difference ◽  
Novel Coronavirus ◽  
And Control

Abstract From December 31, 2019, a large-scale 2019 novel coronavirus disease (COVID-19) broke out in China. Tracking and analyzing the heterogeneity and effectiveness of cities’ prevention and control for COVID-19 epidemic is essential to design and adjust epidemic prevention and control. The number of newly infected cases in 25 China’s worst cities for COVID-19 epidemic from January 11 to February 10 was collected. The heterogeneity and effectiveness of these 25 cities’ prevention and control measures for COVID-19 were analyzed by using a estimate time-varying reproduction numbers method and a serial correlation method. The results shown that the effective reproduction number (R) in 25 cities showed a downward trend as a whole, but there was a significant difference in the R change trends among cities indicating that there was heterogeneity in the spread and control of COVID-19 in cities. Moreover, the COVID-19 control in 21 of 25 cities were effective and the risk of infection was decreasing due to their R had dropped below 1 on February 10, 2020 and the average decline of R in the past 5 days was greater than 0, while cities of Wuhan, Tianmen, Ezhou and Enshi were still difficult to effectively control the COVID-19 epidemic in a short period of time because their R was also greater than 1.

scholarly journals Predictive Analysis of Real-Time Strategy using Face book’s Prophet Model on Covid-19 Dataset of India

2021 ◽  
pp. 305-312
Author(s):  
Pankaj Kumar ◽  
Renuka Sharma ◽  
S. K. Singh
Keyword(s):  
Large Scale ◽  
Time Series Data ◽  
Predictive Analytics ◽  
Series Data ◽  
The Novel ◽  
Healthcare Facilities ◽  
Global Epidemic ◽  
The Government ◽  
Novel Coronavirus ◽  
And Control

The global epidemic of the novel coronavirus (COVID-19) called SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) has infected millions and killed millions. The prevalence of the virus is of paramount importance in identifying future infections and preparing healthcare facilities to avoid death. Accurately predicting the spread of COVID-19 is a challenging analytical and practical task for the research community. We can learn to use predictive analytics to predict the positive outcomes of these risks. These predictive analytics can look at the risks of past successes and failures. In this paper, the Facebook prophet model discusses the number of large-scale cases and deaths in India based on daily time-series data from 30 January 2020 to 30 April 2021, for forecasting and visualization. The covid-19 pandemic could end prematurely if social distancing and safety measures are required to stabilize and control is required to achieve treatment in India. This paper suggests that the Prophet Model is more effective in predicting COVID-19 cases. The forecast results will help the government plan strategies to prevent the spread of the coronavirus.

scholarly journals Evaluation of seven different rapid methods for nucleic acid detection of SARS-COV-2 virus

2021 ◽  
Author(s):  
Sally Mahmoud ◽  
Esra Ibrahim ◽  
Subhashini Ganesan ◽  
Bhagyashree Thakre ◽  
Juliet Teddy ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Gold Standard ◽  
Large Scale ◽  
Virus Detection ◽  
Detection Methods ◽  
Nucleic Acid Detection ◽  
Test Accuracy ◽  
Rt Pcr ◽  
Rapid Methods ◽  
Kappa Value

Background In the current COVID-19 pandemic there is mass screening of SARS-CoV-2 happening round the world due to the extensive spread of the infections. There is a high demand for rapid diagnostic tests to expedite identification of cases and to facilitate early isolation and control spread. Hence this study evaluates seven different rapid nucleic acid detection assays that are commercially available for SARS- CoV- 2 virus detection. Methods Nasopharyngeal samples were collected from 4859 participants and were tested for SARS-CoV-2 virus by the gold standard RT-PCR method along with one of these seven rapid methods of detection. Evaluation of the rapid nucleic acid detection assays was done by comparing the results of these rapid methods with the gold standard RT-qPCR results for SARS-COV-2 detection. Results AQ-TOP had the highest sensitivity (98%) and strong kappa value of 0.943 followed by Genechecker and Abbot ID NOW. The POCKIT (ii RT-PCR) assay had the highest test accuracy of 99.29% followed by Genechecker and Cobas Liat. Atila iAMP showed the highest percentage of invalid reports (35.5%) followed by AQ-TOP with 6% and POCKIT with 3.7% of invalid reports. Conclusion Genechecker system, Abbott ID NOW and Cobas Liat, were found to have best performance and agreement when compared to the standard RT-PCR for COVID-19 detection. With further research, these rapid tests have the potential to be employed in large scale screening of COVID-19.

The Standardization and Control of Serology and Nucleic Acid Testing for Infectious Diseases

2021 ◽  
Author(s):  
Wayne Dimech
Keyword(s):  
Infectious Disease ◽  
Nucleic Acid ◽  
Infectious Diseases ◽  
Complement Fixation ◽  
Nucleic Acid Testing ◽  
Biological Functions ◽  
Patient Sample ◽  
Test Systems ◽  
Specific Antigens ◽  
And Control

Historically, the detection of antibodies against infectious disease agents was achieved using test systems that utilized biological functions such as neutralization, complement fixation, hemagglutination, or visualization of binding of antibodies to specific antigens, using testing doubling dilutions of the patient sample to determine an endpoint. These test systems have since been replaced by automated platforms, many of which have been integrated into general medical pathology.

scholarly journals Clinical Outcomes in 55 Patients With Severe Acute Respiratory Syndrome Coronavirus 2 Who Were Asymptomatic at Hospital Admission in Shenzhen, China

2020 ◽  
Vol 221 (11) ◽  
pp. 1770-1774 ◽  
Author(s):  
Yanrong Wang ◽  
Yingxia Liu ◽  
Lei Liu ◽  
Xianfeng Wang ◽  
Nijuan Luo ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Young People ◽  
Severe Acute Respiratory Syndrome ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Close Contact ◽  
Nucleic Acid Testing ◽  
Pharyngeal Swab ◽  
Asymptomatic Carriers ◽  
Novel Coronavirus

Abstract An epidemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread unexpectedly in Wuhan, Hubei Province, China, since December 2019. There are few reports about asymptomatic contacts of infected patients identified as positive for SARS-CoV-2 through screening. We studied the epidemiological and clinical outcomes in 55 asymptomatic carriers who were laboratory confirmed to be positive for SARS-CoV-2 through nucleic acid testing of pharyngeal swab samples. The asymptomatic carriers seldom occurred among young people (aged 18–29 years) who had close contact with infected family members. In the majority of patients, the outcome was mild or ordinary 2019 novel coronavirus disease during hospitalization.

scholarly journals Characteristics and evaluation of the effectiveness of monitoring and control measures for the first 69 Patients with COVID-19 from 18 January 2020 to 2 March in Wuxi, China

2020 ◽  
Author(s):  
Ping Shi ◽  
Yumeng Gao ◽  
Yuan Shen ◽  
Enping Chen ◽  
Hai Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Close Contact ◽  
Virus Detection ◽  
Control Measures ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Monitoring And Control ◽  
Infected People ◽  
Novel Coronavirus ◽  
And Control

Abstract Background: The novel coronavirus disease 2019(COVID-19) outbreak and has caused has caused 82,830 confirmed cases and 4,633 deaths in China by 26 April 2020. We analyzed data on 69 infections in Wuxi to describe the epidemiologic characteristics and evaluate the control measures.Methods: The demographic characteristics, exposure history, and illness timelines of COVID-19 cases in Wuxi were collected.Results: Among the 69 positive infections with COVID-19, mild and normal types accounted for 75.36% (52/69), adolescents and children are mainly mild and asymptomatic. The basic reproductive number was estimated to be 1.12 (95% CI, 0.71 to 1.69). The mean incubation period was estimated to be 4.77 days (95% CI, 3.61 to 5.94), with a mean serial interval of 6.31 days (95%CI, 5.12 to 7.50). We also found that age (RR=1.57, 95%CI: 1.11-2.21) and fever (RR=4.09, 95%CI: 1.10-15.19) were risk factors for COVID-19 disease severity.Conclusions: The incidence of COVID-19 in Wuxi has turned into a lower level, suggesting that the early prevention and control measures have achieved effectiveness. The community transmission can be effectively prevented through isolation and virus detection of all the people who were exposed together and close contact with the infected people. Aging and fever are risk factors for clinical outcome, which might be useful for preventing severe transition.

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