Rui Liu’s research while affiliated with Jilin University and other places

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Publications (3)


PRISMA flow diagram illustrating the screening process for the literature included in this review.
Organizational structure of the mobile cabin hospital.
Emergency Preparedness and Management of Mobile Cabin Hospitals in China During the COVID-19 Pandemic
  • Literature Review
  • Full-text available

January 2022

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415 Reads

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20 Citations

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Rui Liu

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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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Baseline Epidemiological Characteristics of Confirmed Cases and Clinically Diagnosed Cases in Wuhan
Baseline Epidemiological Characteristics of Confirmed Cases and Clinically Diagnosed Cases in Wuhan (Continued)
Epidemiological Characteristics of Death Cases and Cases not Dead in Wuhan
Epidemiological Characteristics of Death Cases and Cases not Dead in Wuhan (Continued)
The comparison of epidemiological characteristics between confirmed and clinically diagnosed cases with COVID-19 during the early epidemic in Wuhan, China

December 2021

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106 Reads

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10 Citations

Global Health Research and Policy

Background To put COVID-19 patients into hospital timely, the clinical diagnosis had been implemented in Wuhan in the early epidemic. Here we compared the epidemiological characteristics of laboratory-confirmed and clinically diagnosed cases with COVID-19 in Wuhan. Methods Demographics, case severity and outcomes of 29,886 confirmed cases and 21,960 clinically diagnosed cases reported between December 2019 and February 24, 2020, were compared. The risk factors were estimated, and the effective reproduction number (Rt) of SARS-CoV-2 was also calculated. Results The age and occupation distribution of confirmed cases and clinically diagnosed cases were consistent, and their sex ratio were 1.0 and 0.9, respectively. The epidemic curve of clinical diagnosis cases was similar to that of confirmed cases, and the city centers had more cumulative cases and higher incidence density than suburbs in both of two groups. The proportion of severe and critical cases (21.5 % vs. 14.0 %, P < 0.0001) and case fatality rates (5.2 % vs. 1.2 %, P < 0.0001) of confirmed cases were all higher than those of clinically diagnosed cases. Risk factors for death we observed in both of two groups were older age, male, severe or critical cases. Rt showed the same trend in two groups, it dropped below 1.0 on February 6 among confirmed cases, and February 8 among clinically diagnosed cases. Conclusions The demographic characteristics and spatiotemporal distributions of confirmed and clinically diagnosed cases are roughly similar, but the disease severity and clinical outcome of clinically diagnosed cases are better than those of confirmed cases. In cases when detection kits are insufficient during the early epidemic, the implementation of clinical diagnosis is necessary and effective.


Epidemiological Characteristics of Death Cases and Cases not Dead in Wuhan
Baseline Epidemiological Characteristics of Confirmed Cases and Clinically Diagnosed Cases in Wuhan
Baseline Epidemiological Characteristics of Confirmed Cases and Clinically Diagnosed Cases in Wuhan (Continued)
Epidemiological Characteristics of Death Cases and Cases not Dead in Wuhan (Continued)
The Comparison of Epidemiological Characteristics Between Confirmed and Clinically Diagnosed Cases With COVID-19 in Wuhan, China

December 2020

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95 Reads

Background: To put COVID-19 patients into hospital timely, the clinical diagnosis had been implemented in Wuhan in the early outbreak. Here we compared the epidemiological characteristics of laboratory-confirmed and clinically diagnosed cases with COVID-19 in Wuhan. Methods: Demographics, case severity and outcomes of 29886 confirmed cases and 21960 clinically diagnosed cases reported between December 2019 and February 24, 2020, were compared. The risk factors were estimated, and the effective reproduction number of SARS-CoV-2 (Rt) was also calculated. Results: The interval between symptom onset and diagnosis of confirmed and clinically diagnosed cases reduced gradually as time went by, and the proportion of severe and critical cases as well as case fatality rates of the two groups all decreased over time. The proportion of severe and critical cases (21.5% vs 14.0%, P<0.0001) and case fatality rates (5.2% vs 1.2%, P<0.0001) of confirmed cases were all higher than those of clinically diagnosed cases. Risk factors for death we observed in all two groups were older age, male, severe or critical cases. Rt showed a downward trend after the lockdown of Wuhan, it dropped below 1.0 on February 6 among confirmed cases, and February 8 among clinically diagnosed cases. Conclusion: Public health responses taken in Wuhan, including clinical diagnosis, have contributed to slow transmission. In cases where testing kits are insufficient, clinical diagnosis is effective, which is helpful to quarantine or treat infected cases as soon as possible, and prevent the epidemic from worsening. To decrease the case fatality rate of COVID-19, it is necessary to strengthen early warning and intervention of severe and critical elderly men.

Citations (2)


... The health regulation process needs to be carried out in a rigorous, agile and transparent manner, as the incorrect conduct of a regulatory process in public health has intrinsic impacts on waiting times for access to hospital beds, as well as on hospitalization times, which can have negative impacts on the availability of hospital beds and increase the potential for existing problems [5,10]. In this way, the inefficiency and ineffectiveness of this process can aggravate public health crisis situations, such as the COVID-19 pandemic, as it requires more rational use of health resources [8,[11][12][13][14][15][16]. Therefore, due to its complexity and the pressures that exist in all segments of the regulatory process, investment in intelligent computer systems can maximize the correct direction and assertive decision-making in healthcare systems [17][18][19][20][21][22]. ...

Reference:

Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the “RegulaRN Leitos Gerais” platform
Emergency Preparedness and Management of Mobile Cabin Hospitals in China During the COVID-19 Pandemic

... By the investigation of Shi et al. (2021), at the beginning of January 1, 2020, there were at least 133 COVID-19 patients in Wuhan. In this paper, January 1, 2020 is selected as the initial time of numerical simulation, and the initial number of infected people is 133 at the initial time. ...

The comparison of epidemiological characteristics between confirmed and clinically diagnosed cases with COVID-19 during the early epidemic in Wuhan, China

Global Health Research and Policy