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Illemann NM, Illemann TM. Mobile imaging trailers: A scoping review of CT and MRI modalities. Radiography (Lond) 2024; 30:431-439. [PMID: 38199159 DOI: 10.1016/j.radi.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/21/2023] [Accepted: 12/13/2023] [Indexed: 01/12/2024]
Abstract
INTRODUCTION Mobile Imaging Trailers enable moving diagnostic imaging equipment between locations requiring very little setup and configuration, example given CT-scanners and MRI-scanners. However, despite the apparent benefits of utilising these imaging capabilities, very little research on the subject exists. This study aims at gaining an overview of the current state of the literature, using the scoping review methodology. METHODS The systematic literature search was conducted in three databases: Scopus, Embase and PubMed. Included sources were extracted based on the objectives of the scoping review, and inspired by the by PRISMA-ScR. RESULTS 29 papers were included. CONCLUSION The results of the review showed that three general categories of research on this subject exist - trailers used in research, trailers as the object of research and trailers as an element or tool of the research. Of these, the most prevalent one used is the latter - trailers used as an element or tool of the research. This; however, is an issue for the use of trailers in a clinical setting, as very little research has been conducted on how they might be used and how they compare to fixed installations. As seen during the recent COVID-19 pandemic, the potentials for the use of MITs are immense; however, with the current lack of knowledge and understanding, the full potential has not been realised, suggesting further research should be focused in this area. IMPLICATIONS FOR PRACTICE This study has shown that the limited research in the area does point towards a few benefits of MITs; however, there is a clear lack of sufficient research on the field to say this with confidence.
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Affiliation(s)
- N M Illemann
- University College of Northern Denmark, Selma Lagerløfts vej 2, 9220 Aalborg East, Denmark.
| | - T M Illemann
- Department of the Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg East, Denmark
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2
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Tian B, Ning Z, Tu P. Temporary COVID-19 Specialized Hospital: Management Strategies for Public Health Emergencies. J Multidiscip Healthc 2023; 16:1699-1704. [PMID: 37361195 PMCID: PMC10289172 DOI: 10.2147/jmdh.s413261] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
During the coronavirus disease 2019 (COVID-19) outbreak in Shanghai with the Omicron variant in March 2022, locally accessible hospitals and healthcare centres encountered difficulties quickly responding to a demand for hospitals that were rapidly increasing, optimizing clinical results and controlling the infection. In this commentary, we summarize the management strategies of patients in a temporary COVID-19 specialized hospital during the outbreak in Shanghai, China. The present commentary was considered eight characteristics of management system, including general idea, infection prevention team, and efficient time management, and preventive and protective measures management, strategies for the management of infected patients, disinfection management, drug supply management strategies, and medical waste management. Following eight characteristics, the temporary COVID-19 specialized hospital operated effectively for 21 days. A total of 9674 patients were admitted, 7127 cases (73.67%) were cured and discharged, and 36 were transferred to designate hospitals for better treatment. Twenty-five management staff, 1130 medical, nursing staff, 565 logistics staff, and 15 volunteers participated in the temporary COVID-19 specialized hospital, and no infection prevention team member was infected. We speculated that these management strategies could be potential references for public health emergencies.
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Affiliation(s)
- Bei Tian
- Department of Nursing, Shanghai Pudong New Area Zhoupu Hospital (Zhoupu Hospital Affiliated with Shanghai Medical College of Health), Shanghai, 201318, People’s Republic of China
| | - Zhongping Ning
- Department of Cardiology, Shanghai Pudong New Area Zhoupu Hospital (Zhoupu Hospital Affiliated with Shanghai Medical College of Health), Shanghai, 201318, People’s Republic of China
| | - Pingan Tu
- Vice President Office, Shanghai Pudong New Area Zhoupu Hospital (Zhoupu Hospital Affiliated with Shanghai Medical College of Health), Shanghai, 201318, People’s Republic of China
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Peng M, Hu M, Peng X, Gong Y, Qian K, Li J, Zhao J, Li X, Huang J, Zhang M, Chai L, Chen L, Zhang D, Peng L. What contributes to the re-positive nucleic acid test results for the omicron variant of SARS-CoV-2 in the shelter cabin hospital in Shanghai, China? Heliyon 2023; 9:e15679. [PMID: 37124338 PMCID: PMC10123020 DOI: 10.1016/j.heliyon.2023.e15679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 04/18/2023] [Accepted: 04/18/2023] [Indexed: 05/02/2023] Open
Abstract
Background Despite the increasing reports of re-positive SARS-CoV-2 cases after recovery and discharge from hospitals, our knowledge remains very limited regarding the contributing factors of re-positivity and its roles in the transmission and epidemiology of the Omicron variant. Methods In this retrospective study, re-positivity is defined as the positive nucleic acid result (Ct < 35) following two consecutive negative results during hospitalization. A total of 751 patients from Shanghai Shelter Cabin Hospital were enrolled and divided with a ratio of about 1:2 into the re-positivity group and the non-re-positivity group. Patients required three consecutive negative results daily as the de-isolation criterion. The follow-up time of discharged patients lasted five weeks. Univariate regression analysis was used to compare variables between the re-positivity and non-re-positivity groups, and the single re-positivity and multiple re-positivity groups, with P < 0.05 defined as the statistical significance of differences. Subsequently, variables with P < 0.2 were subjected to multivariate logistic regression analysis to investigate the odds ratio (OR) of re-positivity and the influencing factors of re-positivity of the Omicron variant. Results The re-positivity group had a higher proportion of males (68.1% vs 58.1%, p = 0.000), a higher education level (31.9% vs 12.7%, p = 0.007), a longer hospitalization duration (13 days vs 8 days, p = 0.000), and a higher Convidecia vaccination rate (6.0% vs 2.4%, p = 0.011). Further multivariable analysis showed male (OR = 2.168, p = 0.000), Convidecia vaccination (OR = 2.634, p = 0.014), hospitalization duration (OR = 2.146, p = 0.000) and education level (OR = 1.595, p = 0.007) were associated with re-positivity. The average rate of re-positivity was 25% during hospitalization and decreased to 0.4% among discharged patients. Re-positivity was more common in the period with a larger number of hospitalized patients and in larger wards with a larger number of patients. Conclusion A large number of hospitalized patients, large-sized wards, and gender are significant contributing factors to re-positivity. Division of the shelter cabin hospital into small independent wards and requirement of three consecutive results daily as the de-isolation criterion might be more beneficial to the control and prevention of the spread of the Omicron variant.
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Affiliation(s)
- Mei Peng
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Maozi Hu
- Gastroenterology Department, Jiulongpo District Hospital of Chongqing, Chongqing, China
| | - Xiaolu Peng
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuan Gong
- Critical Care Medicine Department, Jiulongpo District Hospital of Chongqing, Chongqing, China
| | - Keli Qian
- Department of Nosocomial Infection Control, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junnan Li
- Department of Obstetrics and Fetal Medicine Unit, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinqiu Zhao
- Department of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiang Li
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Huang
- Department of Respiratory Medicine, Chongqing General Hospital, Chongqing, China
| | - Meng Zhang
- Department of Critical Care Medicine, Chongqing General Hospital, Chongqing, China
| | - Lili Chai
- Infectious Department, The Fifth Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Li Chen
- Medical Service Division, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dan Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Peng
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Yang YF, Lin YJ, You SH, Lu TH, Chen CY, Wang WM, Liao CM. Control measure implications of COVID-19 infection in healthcare facilities reconsidered from human physiological and engineering aspects. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:36228-36243. [PMID: 36547825 PMCID: PMC9772602 DOI: 10.1007/s11356-022-24815-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
The Wells-Riley model invokes human physiological and engineering parameters to successfully treat airborne transmission of infectious diseases. Applications of this model would have high potentiality on evaluating policy actions and interventions intended to improve public safety efforts on preventing the spread of COVID-19 in an enclosed space. Here, we constructed the interaction relationships among basic reproduction number (R0) - exposure time - indoor population number by using the Wells-Riley model to provide a robust means to assist in planning containment efforts. We quantified SARS-CoV-2 changes in a case study of two Wuhan (Fangcang and Renmin) hospitals. We conducted similar approach to develop control measures in various hospital functional units by taking all accountable factors. We showed that inhalation rates of individuals proved crucial for influencing the transmissibility of SARS-CoV-2, followed by air supply rate and exposure time. We suggest a minimum air change per hour (ACH) of 7 h-1 would be at least appropriate with current room volume requirements in healthcare buildings when indoor population number is < 10 and exposure time is < 1 h with one infector and low activity levels being considered. However, higher ACH (> 16 h-1) with optimal arranged-exposure time/people and high-efficiency air filters would be suggested if more infectors or higher activity levels are presented. Our models lay out a practical metric for evaluating the efficacy of control measures on COVID-19 infection in built environments. Our case studies further indicate that the Wells-Riley model provides a predictive and mechanistic basis for empirical COVID-19 impact reduction planning and gives a framework to treat highly transmissible but mechanically heterogeneous airborne SARS-CoV-2.
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Affiliation(s)
- Ying-Fei Yang
- Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan
| | - Yi-Jun Lin
- Institute of Food Safety and Health Risk Assessment, National Yang Ming Chia Tung University, Taipei, 11221, Taiwan
| | - Shu-Han You
- Institute of Food Safety and Risk Management, National Taiwan Ocean University, Keelung City, 20224, Taiwan
| | - Tien-Hsuan Lu
- Department of Environmental Engineering, Da-Yeh University, Changhua, 515006, Taiwan
| | - Chi-Yun Chen
- Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan
| | - Wei-Min Wang
- Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan
| | - Chung-Min Liao
- Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.
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Lan S, Fan W, Yang S, Pardalos PM. Physician scheduling problem in Mobile Cabin Hospitals of China during Covid-19 outbreak. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2023; 91:349-372. [PMID: 36721866 PMCID: PMC9880358 DOI: 10.1007/s10472-023-09834-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/16/2023] [Indexed: 05/27/2023]
Abstract
In this paper, we investigate a novel physician scheduling problem in the Mobile Cabin Hospitals (MCH) which are constructed in Wuhan, China during the outbreak of the Covid-19 pandemic. The shortage of physicians and the surge of patients brought great challenges for physicians scheduling in MCH. The purpose of the studied problem is to get an approximately optimal schedule that reaches the minimum workload for physicians on the premise of satisfying the service requirements of patients as much as possible. We propose a novel hybrid algorithm integrating particle swarm optimization (PSO) and variable neighborhood descent (VND) (named as PSO-VND) to find the approximate global optimal solution. A self-adaptive mechanism is developed to choose the updating operators dynamically during the procedures. Based on the special features of the problem, three neighborhood structures are designed and searched in VND to improve the solution. The experimental comparisons show that the proposed PSO-VND has a significant performance increase than the other competitors.
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Affiliation(s)
- Shaowen Lan
- School of Management, Hefei University of Technology, Hefei, 230009 China
- Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei, 230009 China
| | - Wenjuan Fan
- School of Management, Hefei University of Technology, Hefei, 230009 China
- Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei, 230009 China
| | - Shanlin Yang
- School of Management, Hefei University of Technology, Hefei, 230009 China
- Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei, 230009 China
| | - Panos M. Pardalos
- Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611-6595 USA
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Zhu J, Zhu GP, Weng YM, Zhang Y, Li BX. Clinical Practice and Effectiveness Analysis of the Management of Corona Virus Disease 2019 Infected at Shanghai Fangcang Shelter Hospital: A Descriptive Study. Risk Manag Healthc Policy 2023; 16:337-346. [PMID: 36883054 PMCID: PMC9985874 DOI: 10.2147/rmhp.s403414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/23/2023] [Indexed: 03/06/2023] Open
Abstract
Background The Fangcang shelter hospital has gradually become the primary management mode in China's fight against this Corona Virus Disease 2019 (COVID-19) in 2020. In early 2022, the Fangcang shelter hospital management model was successfully applied to the new outbreak of COVID-19 in Shanghai also. Although Fangcang shelter hospitals are no longer the prevailing mode of prevention of COVID-19, the management experience of Shanghai makeshift hospitals is worthy of reference for public health. Methods The authors conducted a descriptive statistical analysis of Hall 6-2 of the Shanghai National Convention and Exhibition Center Fangcang shelter hospital. The whole hall of the Fangcang shelter hospital was managed by the one hospital, and the inclusion of third-party management personnel alleviated the shortage of medical personnel human resources. Through practice, a new procedure for treating batch infected people was introduced. Results By optimizing ward management, 72 on-duty doctors, 360 on-duty nurses, 3 sense-control administrators, and 15 administrators cured 18,574 infected people in 40 days, and created a record of a doctor managing 700 infected people without compromising the quality of treatment. There have been no deaths and no complaints from the infected people located in Hall 6-2 of the Shanghai National Convention and Exhibition Center Fangcang shelter hospital. Conclusion Compared with previous data, the new management mode of Fangcang shelter hospitals provides a reference for the management of the new infectious diseases for public health.
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Affiliation(s)
- Jian Zhu
- Department of Thoracic Cardiovascular Surgery, General Hospital of Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China
| | - Guang-Ping Zhu
- Department of Endocrinology, General Hospital of Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China
| | - Yan-Ming Weng
- Department of Stomatology, General Hospital of Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China
| | - Yong Zhang
- Department of Integrative Medicine, General Hospital of Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China
| | - Bi-Xi Li
- Department of Anesthesiology, General Hospital of Central Theater Command of the People's Liberation Army, Wuhan, Hubei Province, People's Republic of China
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Qiu S, Xu D, Dai J, Zhang L, Tian X, Li X, Chen D, Zhou R, Liu W. Improving the efficiency and biosafety of respiratory syncytial virus identification using a nucleic acid extraction-free reagent. J Med Virol 2023; 95:e28287. [PMID: 36345579 DOI: 10.1002/jmv.28287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/27/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022]
Abstract
Respiratory syncytial virus (RSV) is the most important virus that causes lower respiratory tract disease in children; efficient viral identification is an important component of disease prevention and treatment. Here, we developed and evaluated a ready-to-use (RTU) nucleic acid extraction-free direct reagent for identification of RSV (RTU-Direct test) in clinical samples. The limit of detection (LOD) of the RSV RTU-Direct test was consistent with the LOD of the standard test using extracted nucleic acids. The virus inactivation ability of RTU-Direct reagent was confirmed by viral infectivity assays involving RTU-Direct-treated samples containing RSV and human coronavirus OC43. RSV RNA stability was significantly better in RTU-Direct reagent than in conventional virus transport medium (VTM) at room temperature and 4°C (p < 0.05). The clinical performance of the RTU-Direct test was evaluated using 155 respiratory specimens from patients with suspected RSV infection. Positive agreement between the RTU-Direct test and the VTM standard test was 100% (42/42); negative agreement was 99.1% (112/113), and the kappa statistic was 0.968 (p < 0.001). The distributions of Ct values did not significantly differ between the RTU-Direct test and the standard test (p > 0.05). Overall, the RTU-Direct reagent can improve the efficiency and biosafety of RSV detection, while reducing the cost of detection.
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Affiliation(s)
- Shuyan Qiu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Duo Xu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Jing Dai
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Li Zhang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Xingui Tian
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Xiao Li
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Dehui Chen
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
| | - Rong Zhou
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China.,Guangzhou Laboratory, Guangzhou, China
| | - Wenkuan Liu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Guangzhou Medical University, Guangzhou, China
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Lei N, Li BX, Zhang KF, Bao H, Ding J, Wang Y. Analysis of the Protective Effect of Infection Controllers Supervising Third-Party Personnel Entering and Leaving Shanghai Fangcang Shelter Hospital. Infect Drug Resist 2022; 15:7519-7527. [PMID: 36570712 PMCID: PMC9788835 DOI: 10.2147/idr.s388707] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
Objective To analyze the impact of the new supervision and management methods of infection controllers on the protection of third-party personnel entering and leaving Shanghai Fangcang shelter hospital, to provide a reference for the management of third-party personnel in Fangcang shelter hospitals. Methods A total of 200 third-party personnel received with traditional supervision and management methods, and 156 received new supervision and management methods from the Fangcang shelter hospital of the Shanghai International Convention and Exhibition Center. The sociodemographic characteristics of third-party personnel, including gender, age, education level, work experience in fighting the epidemic with safety awareness, was analyzed. The effects of the two different management modes on the protection of third-party personnel were statistically analyzed by the Chi-square test or logistic regression analysis. Results There were statistically significant differences in the incidence of infection among third-party personnel in terms of age, education level, work experience in fighting the epidemic in traditional supervision and management group, and whether they accepted the new supervision and management model had statistically significant differences (p <0.05). The main causes of incorrect put on and take off protective clothing, such as wrong way to detach the face screen, wrong way to remove goggles, wrong way to undress protective clothing, wrong way to take off the shoe cover, hand washing steps omitted, are that causes infection of third-party personnel (p <0.05). Conclusion The new supervision and management model can reduce the infection rate of third-party personnel in Fangcang shelter hospitals through planned and purposeful training in terms of different age groups, education levels, work experience, and acceptance of protection knowledge.
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Affiliation(s)
- Na Lei
- Department of Disinfection and Supply, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China
| | - Bi-Xi Li
- Department of Anesthesiology, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China
| | - Kai-Fen Zhang
- Department of Outpatient, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China
| | - Hui Bao
- Department of Urology, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China
| | - Jian Ding
- Department of Disinfection and Supply, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China,Correspondence: Jian Ding; Yan Wang, Department of Disinfection and Supply, General Hospital of Central Theater Command of the People’s Liberation Army, 627#, Wuluo Road, Wuchang District, Wuhan, 430070, People’s Republic of China, Tel +86-18971123442, Fax +86-27-50772953, Email ;
| | - Yan Wang
- Department of Disinfection and Supply, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China
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Chen C, Xing Z, Xi Y, Tiong R. Ensuring sufficient cabin hospital beds for curbing the spread of COVID-19 - Findings from petri net analysis. Heliyon 2022; 8:e11202. [PMID: 36284770 PMCID: PMC9584841 DOI: 10.1016/j.heliyon.2022.e11202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/28/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Due to the complexity of the virus and its rapid rate of spread, many countries face the same challenges of providing adequate medical resources. This paper provides an analytical approach for evaluating the possibility of the regional construction industry constructing a large number of cabin hospitals within a short time. The key idea is to compare the demand and supply of patient beds using a Petri net-based approach that incorporates a neural network for the prediction of demand, fuzzy logic for decision-making, and a linear model for predicting supply. The data reported in the Shanghai Omicron battle is used to validate the developed model. Our results show that the fastest conversion speed and the least manpower requirement are obtained from high-rise buildings. Then, preparing some high-rises for easy conversion into cabin hospitals seems a possible solution for future citywide preparedness toward pandemic resilience. A Petri net analytical tool for studying cabin hospital demand and supply. The case of the Shanghai Omicron outbreak. Sensitivity analysis for the impact of manpower and impact of venue size. Vertical cabin hospitals are recommended to build post-pandemic resilience.
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Affiliation(s)
- Chen Chen
- Department of Structural Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China,School of Civil & Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore,Corresponding author.
| | - Zijie Xing
- Department of Structural Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China
| | - Yonghui Xi
- Department of Structural Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China
| | - Robert Tiong
- School of Civil & Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
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Shi F, Li H, Liu R, Liu Y, Liu X, Wen H, Yu C. Emergency Preparedness and Management of Mobile Cabin Hospitals in China During the COVID-19 Pandemic. Front Public Health 2022; 9:763723. [PMID: 35047472 PMCID: PMC8761647 DOI: 10.3389/fpubh.2021.763723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 11/29/2021] [Indexed: 12/23/2022] Open
Abstract
The healthcare systems in China and globally have faced serious challenges during the coronavirus disease (COVID-19) pandemic. The shortage of beds in traditional hospitals has exacerbated the threat of COVID-19. To increase the number of available beds, China implemented a special public health measure of opening mobile cabin hospitals. Mobile cabin hospitals, also called Fangcang shelter hospitals, refer to large-scale public venues such as indoor stadiums and exhibition centers converted to temporary hospitals. This study is a mini review of the practice of mobile cabin hospitals in China. The first part is regarding emergency preparedness, including site selection, conversion, layout, and zoning before opening the hospital, and the second is on hospital management, including organization management, management of nosocomial infections, information technology support, and material supply. This review provides some practical recommendations for countries that need mobile cabin hospitals to relieve the pressure of the pandemic on the healthcare systems.
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Affiliation(s)
- Fang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Hao Li
- Global Health Institute, Wuhan University, Wuhan, China
| | - Rui Liu
- National Health Commission Key Lab of Radiation Biology, Jilin University, Changchun, China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Xiaoxue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.,Global Health Institute, Wuhan University, Wuhan, China
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11
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Liu W, Zhou Z, Zhang L, Li L, Wang L, Song L, Qiu S, Zhang L, Xu D, Tian X, Li X, Yang Y, Liang J, Liu Y, Li X, Zhou R. Establishment and evaluation of a 30-minute detection method for SARS-CoV-2 nucleic acid using a novel ultra-fast real-time PCR instrument. J Thorac Dis 2022; 13:6866-6875. [PMID: 35070371 PMCID: PMC8743416 DOI: 10.21037/jtd-21-1288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/10/2021] [Indexed: 01/08/2023]
Abstract
Background The coronavirus disease 2019 (COVID-19) pandemic is still raging worldwide. Efficient, fast and low-cost severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid detection methods are urgently needed. Methods A rapid PCR temperature change mode was explored by moving the reaction tube between the independent temperature modules with large temperature differences and a portable ultra-fast real-time PCR instrument were developed. We established a rapid SARS-CoV-2 test method using the ultra-fast real-time PCR instrument, a China Food and Drug Administration-certified SARS-CoV-2 reagent and optimized reaction condition. The analytical and clinical performances of the rapid tests were evaluated by comparing with the standard SARS-CoV-2 tests. Results The new temperature change mode can effectively shorten the amplification reaction time and be successfully used in the development of the ultra-fast real-time PCR instrument. The rapid SARS-CoV-2 test method was established and the time to yield results were greatly shortened from 81 min of the standard test to 31 min. Specificity of the rapid test was assessed and no non-specific amplification (0/63) was observed. The limits of detection of the rapid and standard tests were similar. Clinical performance was evaluated using 184 respiratory specimens from patients with suspected SARS-CoV-2 infection. The positive agreement between the rapid and standard tests was 100% (67/67), the negative agreement was 97.4% (114/117), and the kappa statistic was 0.965 (P<0.001). No significant differences in the Ct values for each target gene were observed between the rapid test and the standard test (P>0.05). Conclusions We had developed a 30-minute detection method for SARS-CoV-2 nucleic acid using a novel ultra-fast real-time PCR instrument. The rapid test method may impact on patient management.
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Affiliation(s)
- Wenkuan Liu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Zhichao Zhou
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Lu Zhang
- Technology Center, Guangzhou Custom, Guangzhou, China
| | - Lei Li
- GIRM Biosafety (Guangzhou) Co., Ltd., Guangzhou, China
| | - Lin Wang
- Kingmed Virology Diagnostic & Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Linxiu Song
- Kingmed Virology Diagnostic & Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Shuyan Qiu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Li Zhang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Duo Xu
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China.,Technology Center, Guangzhou Custom, Guangzhou, China.,GIRM Biosafety (Guangzhou) Co., Ltd., Guangzhou, China.,Kingmed Virology Diagnostic & Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China.,Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xingui Tian
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Xiao Li
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Yujie Yang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Jiaxin Liang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Yong Liu
- Kingmed Virology Diagnostic & Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Xiaobo Li
- Technology Center, Guangzhou Custom, Guangzhou, China
| | - Rong Zhou
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China.,Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
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