ABSTRACT
Air-borne pollutants in particulate matter (PM) form, produced either physically during industrial processes or certain biological routes, have posed a great threat to human health. Particularly during the current COVID-19 pandemic, effective filtration of the virus is an urgent matter worldwide. In this review, we first introduce some fundamentals about PM, including its source and classification, filtration mechanisms, and evaluation parameters. Advanced filtration materials and their functions are then summarized, among which polymers and MOFs are discussed in detail together with their antibacterial performance. The discussion on the application is divided into end-of-pipe treatment and source control. Finally, we conclude this review with our prospective view on future research in this area. (c) 2022 Institute of Process Engineering, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ABSTRACT
Due to the COVID-19 epidemic prevention policy, many university freshmen are unable to visit their schools in person. As a remote campus orientation tool, we propose Newbie at CUHKSZ, a voxel art puzzle game, for the incoming students to explore The Chinese University of Hong Kong, Shenzhen (CUHKSZ) in an interactive way. We crowd-sourced the digital model of the CUHKSZ campus and created Non-Player Characters (NPCs) as digital twins of our staffs in the virtual campus. Furthermore, we designed school traditions related puzzle tasks to lead an interactive campus tour and deliver humanistic values. The design of Newbie at CUHKSZ sheds light on a new way to engage the incoming students in a remote campus orientation event. © 2023 IEEE.
ABSTRACT
COVID-19 has led to immense impacts on the hospitality sector, putting millions of jobs at risk. The uncertainty has resulted in significant psychological effects on service staff. Developing on micro-level interpersonal interactions between line managers and service staff, this article aims to propose a bottom-up approach to alleviate service staff's anxiety and enhance their work resilience during and after the pandemic. The proposed conceptual framework synthesised the personal uncertainty constructs, self-determination theory (SDT) and leader-member exchange (LMX) to address the psychological issues that emerged from a prolonged ambiguous and unsettled period. The framework proposes that interpersonal exchanges at the micro-level can strengthen service staff's intrinsic motivation and resilience. This article offers new insights into crisis management research and practice in the hospitality sector by developing a people-centred approach. At the micro-level, this framework offers a holistic strategy, including a flat team structure, uncertainty-embracing organisational environment, transparent decision-making process and sympathetic behaviours from leaders to facilitate service staff to develop greater coping mechanisms for the unknown future. Furthermore, this framework provides organisations preliminary guidelines to establish a longitudinal preventive strategy to strengthen employees' work resilience. © The Author(s) 2022.
ABSTRACT
Objective: To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing. Methods: Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic. Results: From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval M(Q1, Q3)was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). Conclusions: The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.
Subject(s)
COVID-19 , Epidemics , Humans , COVID-19/epidemiology , Beijing/epidemiology , SARS-CoV-2ABSTRACT
Background The transmission speed and concealment of the Omicron variant of SARS-CoV-2 have been enhanced. The awareness level and skills of correctly donning and doffing personal protective equipment （PPE） in SARS-CoV-2 containment workers from the mobile cabin hospital are associated with their own health status, and the overall quality of COVID-19 pandemic control. Objective To understand the awareness and skills of correctly donning and doffing PPE in SARS-CoV-2 containment workers from a mobile cabin hospital. Methods By use of cluster sampling, 460 SARS-CoV-2 containment workers were selected from the Fourth Branch of Shanghai Mobile Cabin Hospital located in the National Exhibition and Convention Center （Shanghai）, from April 10 to May 10, 2022. Their awareness and skills of correctly donning and doffing PPE were assessed using an online survey with a self-developed questionnaire named Awareness of Correctly Donning and Doffing Personal Protective Equipment, and using an onsite performance assessment with a self-developed questionnaire named Skills of Correctly Donning and Doffing Personal Protective Equipment, respectively. Results The survey obtained a response rate of 83.5% （384/460）. According to the survey, both doctors and nurses had significantly higher average scores with regards to the operations at the first donning area, second donning area, front doffing area and first doffing area, second doffing area, and hand hygiene disinfection than public security officers and fire fighters（P<0.05）. All of the 460 cases completed the onsite performance assessment. Both doctors and nurses obtained lower average scores in terms of completing the operations at the first donning area, and donning steps in clean area into contaminated area than public security officers and fire fighters （P<0.05）. Doctors had much lower average score for completing the operations at the first donning area than nurses （P<0.05）. Conclusion There were significant differences in the levels of awareness and skills of correctly donning and doffing PPE in SARS-CoV-2 containment workers by occupation. Targeted and focused trainings and supervisions should be carried out to improve the mismatching between the levels of awareness and skills. © 2022 Chinese General Practice. All rights reserved.
ABSTRACT
Persistent air pollution in the Beijing-Tianjin-Hebei region (BTH) has become an extremely complex challenge due to the combined effects of industrial structure, regional characteristics, weather and climate, and development. Although China's air pollution levels have reduced significantly since the Airborne Pollution Prevention and Control Action Plan and the Blue Sky Protection Campaign were implemented, the BTH remains a sensitive and vulnerable area. Such large decrease in primary pollution was mainly attributed to the substantial reductions in economic activities and associated emissions during the 2019 novel coronavirus (COVID-19) lockdown, i.e., around the Chinese New Year of 2020. Yet two consecutive severely polluting weather processes occurred in the BTH around the Chinese New Year of 2020, which have seeded doubt among the Chinese public and policymakers regarding the current scientific understanding of the mechanisms of haze pollution. The causes of formation and maintenance of pollution processes can differ significantly. The formation and maintenance of heavy pollution weather is caused by various factors, which is a complex process. Thus, it is crucial to distinguish the contribution of emissions and meteorological conditions on polluting weather, as well as distinguish the contribution of various meteorological factors on the formation and maintenance of polluting weather, for conducting effective attribution diagnostic analysis in actually environmental and meteorological impact assessment operation systems, especially in areas that are sensitive or vulnerable to air pollution. Identifying the specific meteorological conditions formed by polluting weather and establishing a comprehensive model for discriminating atmospheric dynamics and thermodynamics can provide a scientific basis for improving numerical models for air pollution potential forecasting in the future. Therefore, in this study, we focused on two consecutive severely polluting weather processes in BTH around the 2020 Chinese New Year (January to February 2020), as an ideal and unique field experiment for the prevention and control of current severe air pollution. We explored the reasons for the formation and maintenance of continuous severely polluting weather in the context of "continuous emissions reduction" and "relatively low social activity levels" from the perspective of the abnormal structure of the high-low atmospheric circulation system. Based on comprehensive diagnostic analyses, we quantified the relative contribution of each key meteorological factor to the continuous severely polluting weather in BTH by using the standardized multiple linear regression method. The results indicated that stable maintenance of low-level coastal high-pressure systems led to higher relative humidity at ground level compared with normal years and blocking systems, which are two key meteorological factors that induced persistent polluting weather in BTH. The abnormally stable blocking situation provided a special circulation background for the occurrence and maintenance of persistent heavy air pollution in BTH. The continuous and stable easterly and southerly water vapor transportation structure provided the BTH with more moisture than normal years, and it was conducive to increased moisture absorption by aerosols, especially under blocking. The "subsidence warming" effect of the high-level blocking high-pressure system facilitated the production of a "warm cover" structure in the middle of the troposphere. The presence of the anomalous warm cover structure in the troposphere facilitated the establishment of stable and high humidity weather, which was conducive to the accumulation of pollutants and continued air pollution. Dynamic systems (blocking systems) and water vapor transportation factors directly explained 46.8% of the meteorological causes of persistent heavy air polluting weather events around the 2020 Chinese New Year in BTH.
ABSTRACT
Interleukin-6 (IL-6) is a pleiotropic cytokine, which participates in many physiological and pathological functions. Studies have shown that IL-6 first forms a heterohexameric complex with its own receptors (IL-6R, gp130), which further activate downstream signal transduction pathways, and finally exerts biological functions. However, abnormal activation and dysfunction of IL-6 signaling pathway are closely related to a variety of diseases, such as autoimmune diseases, chronic inflammation, and malignant tumors. In addition, the abnormal expression of IL-6 also plays an important role in COVID-19’s cytokine storm syndrome (CSS). In general, treatments that block key molecules in the IL-6 signaling pathway can be used for IL-6-related diseases. Different from blocking shared receptor molecules such as IL-6R or gp130, therapeutic monoclonal antibodies that block IL-6 protein are more specific. In clinical research, some antibodies targeting IL-6 show their unique therapeutic characteristics and beneficial effects. At present, only one monoclonal antibody drug targeting IL-6 protein has been approved by the US FDA for marketing, and more than 8 therapeutic monoclonal antibodies are in the clinical research. This article focuses on a brief review of therapeutic monoclonal antibodies targeting human IL-6 protein around world and their clinical applications. © 2022, China Biotechnology Press. All rights reserved.
ABSTRACT
Features in data samples usually need a unified dimension by a standardization process before clustering. However, there still exists a non-standardized metric in which the distance between samples is greater than 1 after features are standardized. It is difficult to find the optimal search path if the data sample metrics are not standardized. To address this problem, we develop a dynamic-metric accelerated method for fuzzy clustering by introducing a metric matrix, whose diagonal elements consist of infinite norms of the metric matrix into the Fuzzy C-Means (FCM) clustering algorithm and its derived algorithms. More specifically, we focus on constructing a dynamic metric matrix that is used to unify the metric between data samples and updating cluster centers to optimize the search path of the cluster center. In addition, we propose a new evaluation index named the Coefficient of Variation Metric (CVM) to evaluate metric effectiveness. The dynamic metric accelerated method, whose complexity remains unchanged, can effectively accelerate the iteration speed of fuzzy clustering. The comparisons between the algorithm using the dynamic metric accelerated method and the corresponding algorithm on UCI, business district and COVID-19 CT image datasets show the superiority of the dynamic metric accelerated method in accelerating effect and clustering performance.
ABSTRACT
Objective: To evaluate the efficacy and safety of lopinavir/ritonavir (LPV/r) and arbidol in treating patients with coronavirus disease 2019 (COVID-19) in the real world. Methods: The clinical data of 178 patients diagnosed with COVID-19 admitted to Guangzhou Eighth People's Hospital from January 20 to February 10, 2020 were retrospectively analyzed. According to patient's antiviral treatment regimens, 178 patients were divided into 4 groups including LPV/r group (59 patients), arbidol group (36 patients), LPV/r plus arbidol combination group (25 patients) and the supportive care group without any antiviral treatment (58 patients). The primary end point was the negative conversion time of nucleic acid of 2019 novel coronavirus (2019-nCoV) by pharyngeal swab. Results: The baseline parameters of 4 groups before treatment was comparable. The negative conversion time of viral nucleic acid was (10.20±3.49), (10.11±4.68), (10.86±4.74), (8.44±3.51) days in LPV/r group, arbidol group, combination group, and supportive care group respectively (F=2.556, P=0.058). There was also no significant difference in negative conversion rate of 2019-nCoV nucleic acid, the improvement of clinical symptoms, and the improvement of pulmonary infections by CT scan (P>0.05). However, a statistically significant difference was found in the changing rates from mild/moderate to severe/critical type at day 7 (χ(2)=9.311, P=0.017), which were 24%(6/25) in combination group, 16.7%(6/36) in arbidol group, 5.4%(3/56) in LPV/r group and 5.2%(3/58) in supportive care group. Moreover, the incidence of adverse reactions in three antiviral groups was significantly higher than that in supportive care group (χ(2)=14.875, P=0.002). Conclusions: Antiviral treatment including LPV/r or arbidol or combination does not shorten the negative conversion time of 2019-nCoV nucleic acid nor improve clinical symptoms. Moreover, these antiviral drugs cause more adverse reactions which should be paid careful attention during the treatment.
Subject(s)
COVID-19 Drug Treatment , HIV Infections , HIV Infections/drug therapy , Humans , Indoles , Lopinavir/adverse effects , Retrospective Studies , Ritonavir/adverse effects , SARS-CoV-2ABSTRACT
Left unmitigated, climate change poses a catastrophic risk to human health, demanding an urgent and concerted response from every country. The 2015 Lancet Commission on Health and Climate Change and The Lancet Countdown: Tracking Progress on Health and Climate Change have been initiated to map out the impacts of climate change and the necessary policy responses. To meet these challenges, Tsinghua University, partnering with the University College London and 17 Chinese and international institutions, has prepared the Chinese Lancet Countdown report, which has a national focus and builds on the work of the global Lancet Countdown: Tracking Progress on Health and Climate Change. Drawing on international methodologies and frameworks, this report aims to deepen the understanding of the links between public health and climate change at the national level and track them with 23 indicators. This work is part of the Lancet's Countdown broader efforts to develop regional expertise on this topic, and coincides with the launch of the Lancet Countdown Regional Centre in Asia, based at Tsinghua University. The data and results of this report are presented at the provincial level, where possible, to facilitate targeted response strategies for local decision-makers. Based on the data and findings of the 2020 Chinese Lancet Countdown report, five recommendations are proposed to key stakeholders in health and climate change in China: (1) Enhance inter-departmental cooperation. Climate change is a challenge that demands an integrated response from all sectors, urgently requiring substantial inter-departmental cooperation among health, environment, energy, economic, financial, and education authorities. (2) Strengthen health emergency preparedness. Knowledge and findings on current and future climate-related health threats still lack the required attention and should be fully integrated into the emergency preparedness and response system. (3) Support research and raise awareness. Additional financial support should be allocated to health and climate change research in China to enhance health system adaptation, mitigation measures, and their health benefits. At the same time, media and academia should be fully motivated to raise the public and politicians' awareness of this topic. (4) Increase climate change mitigation. Speeding up the phasing out of coal is necessary to be consistent with China's pledge to be carbon neutral by 2060 and to continue to reduce air pollution. Fossil fuel subsidies must also be phased out. (5) Ensure the recovery from COVID-19 to protect health now and in the future. China's efforts to recover from COVID-19 will shape public health for years to come. Climate change should be a priority in these interventions. © 2021, Science Press. All right reserved.
ABSTRACT
The COVID-19 pandemic continues to influence every aspect of human life across the globe. It was reported that vascular angiogenesis of COVID-19 was elevated in patients with equally severe influenza virus infection. In this issue of AJNMMI, Farolfi et al. reported that there was lung uptake not related to prostate cancer in almost all COVID-19 patients who performed Ga-68-PSMA-11 PET/CT scans and most of the lung uptake lesions were matched with typical CT patterns of COVID-19. With the advantages of having various tracers for whole-body imaging, PET provides opportunities to study the mechanism of COVID-19 from different aspects and obtain patterns of extra-pulmonary lesions in COVID-19, which helps explore more effective treatments for the patients. This case series opened the door to many future studies. Furthermore, such a multi-national/multi-institutional collaboration in the pandemic truly encouraged us that science is indeed without borders.
ABSTRACT
Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic scoping review is to document the current uses of AI in dentistry and the ethical concerns or challenges they imply. Three health care databases (MEDLINE [PubMed], SciVerse Scopus, and Cochrane Library) and 2 computer science databases (ArXiv, IEEE Xplore) were searched. After identifying 1,553 records, the documents were filtered, and a full-text screening was performed. In total, 178 studies were retained and analyzed by 8 researchers specialized in dentistry, AI, and ethics. The team used Covidence for data extraction and Dedoose for the identification of ethics-related information. PRISMA guidelines were followed. Among the included studies, 130 (73.0%) studies were published after 2016, and 93 (52.2%) were published in journals specialized in computer sciences. The technologies used were neural learning techniques for 75 (42.1%), traditional learning techniques for 76 (42.7%), or a combination of several technologies for 20 (11.2%). Overall, 7 countries contributed to 109 (61.2%) studies. A total of 53 different applications of AI in dentistry were identified, involving most dental specialties. The use of initial data sets for internal validation was reported in 152 (85.4%) studies. Forty-five ethical issues (related to the use AI in dentistry) were reported in 22 (12.4%) studies around 6 principles: prudence (10 times), equity (8), privacy (8), responsibility (6), democratic participation (4), and solidarity (4). The ratio of studies mentioning AI-related ethical issues has remained similar in the past years, showing that there is no increasing interest in the field of dentistry on this topic. This study confirms the growing presence of AI in dentistry and highlights a current lack of information on the ethical challenges surrounding its use. In addition, the scarcity of studies sharing their code could prevent future replications. The authors formulate recommendations to contribute to a more responsible use of AI technologies in dentistry.
Subject(s)
Artificial Intelligence , Delivery of Health Care , Dentistry , ForecastingABSTRACT
Objective: Previous studies showed that the effect of antivirals for COVID-19 was promising but varied across patient population, and was modest among severe cases. Chinese Medicine (CM) was extensively used to treat COVID-19 in China. We aimed to evaluate the real-world effectiveness of add-on semi-individualized CM during the outbreak. Methods: A retrospective total sampling cohort of 1788 adult confirmed COVID-19 patients were recruited from all 2235 consecutive records retrieved from 5 hospitals in Wuhan during 15 January to 13 March 2020. Consultation notes, laboratory/imaging investigations, pharmacy and prognosis records were linked by an electronic medical record system and verified by at least 2 researchers independently. The mortality of add-on semi-individualized CM users and non-users was compared by inverse probability weighted hazard ratio (HR) and by propensity score matching. Change of biomarkers was compared between groups and the frequency of CMs used was analysed. Subgroup analysis was performed to stratify disease severity and dose of CM exposure. Sensitivity analyses were conducted to test the robustness. Change of key biomarkers and the prescription were analysed. Results: The crude mortality was 3.8% in the semiindividualized CM user group and 17.0% among the nonusers. Add-on CM was associated with a mortality reduction of 58% (HR=0.42, 95% CI: 0.23 to 0.77) among all COVID-19 cases and 66% (HR=0.34, 95% CI: 0.15 to 0.76) among severe/critical COVID-19 cases demonstrating dosedependent response, after inversely weighted with propensity score. The result was robust in various stratified, weighted, matched, adjusted and sensitivity analyses. Severe/critical patients received add-on CM had a trend of stabilized D-dimer level after 3-7 days of admission when compared to baseline. Anti-inflammatory, immunomodulating and anti-asthmatic CMs were most used. Conclusion: Add-on semi-individualized CM was associated with significantly reduced mortality demonstrating dosedependent response, especially among severe/critical COVID-19 patients. Chinese medicine could be considered as an add-on regimen for trial use.
ABSTRACT
Objective To explore the risk perception characteristics and influencing factors of frontline medical staff during the coronavirus disease 2019 (COVID-19) epidemic, so as to provide effective reference for correctly perceiving the risk, improving stress-coping skills and maintaining mental health during the high-risk and high-intensity combat against the COVID-19 epidemic. Methods A risk perception questionnaire based on the context of COVID-19 epidemic was used to investigate the risk perception level of 181 frontline medical staff fighting against COVID-19 epidemic. Nonparametric test was used to compare the demographic factors and risk perception dimensions. Logistic regression analysis was used to predict the effect of demographic factors on the risk perception level of frontline medical staff. Results During the COVID-19 epidemic, the overall risk perception score of the frontline medical staff was 36.39±8.59, and the scoring rate was 60.65%. The top three dimensions with the highest scoring rate were physical function risk, organization risk and personal safety risk. The score of frontline medical staff in Hubei province was higher than that outside Hubei province (Z=-2.180, P<0.05) and the score of medical technicians (doctors and technicians) was higher than that of nurses (Z=-3.039, P<0.01). The location of frontline medical staff could significantly predict the overall risk perception (P<0.05). Conclusion During the COVID-19 epidemic, the risk perception of frontline medical staff has been found at the medium level, with the risk perception degree of frontline medical staff in Hubei province being higher than that outside Hubei province and the risk perception degree of medical technicians being higher than that of nurses. The location of frontline medical staff can predict their risk perception.
ABSTRACT
Artificial seawall by silt squeezing with blasting dike, a small price for a good seawall than with mechanical dredging, and is effective in preventing this kind of accident from tsunami and typhoon disaster. This paper briefly discusses the pollution situation of poultry and mankind waste in China. For the first time gives the techniques for harmless (China patent ZL 201220109642.1, no flush heathy toilet.) and utilization of waste in China are presented and analysed for benefit utilization. Sanitary toilet without sewers -2019 world break-through technologies (no flush heathy toilet) driven reinvent the toilet challenge, RTTC. Authors also show the technique for harass and utilization of wastes in China. The authors suggest that all the mankind and animal waste, after harmless processing, should be used in a way of useful things as feed, fertilizer, etc. to benefit human society, prevent disease (covid-19, sars) propagation and reduce greenhouse gases. It is also can be used on ship, aircraft, coach and out space etc. (China patent ZL 201220109642.1 is one of several ways of human and livestock faeces harmless treatment, ultraviolet disinfection, ozone fumigation), its weight less than 15kg, volume less than 0.12m3. © Published under licence by IOP Publishing Ltd.
ABSTRACT
Objective: By analyzing the epidemic characteristics and related indicators of SARS and COVID-19, to explore the reasons for the similarities and differences of the two epidemics, so as to provide reference for epidemic prevention and control. Methods: The general situation, clinical classification, activity history, contact history, family members' contact and incidence of the two infectious diseases in Guangzhou were collected and used to analyze the time characteristics, occupational characteristics, age characteristics and other key indicators of the two diseases, including the number of cases, composition ratio (%), mean, median, crude mortality, etc. Results: A total of 1 072 cases of SARS were included in the study. Three hundred and fifty three were severe cases with the incidence of 30.13%. Forty three cases of death were reported with a mortality rate of 4.01%. The average age was 46 years old, and 26.31% of the cases were medical staff. The interval time between first report to continuous zero reports was 129 days. As to COVID-19, a total of 346 cases were included. 58 of which were severe cases with the incidence of 16.67%. One case of death was reported with a mortality rate of 0.29%. The average age was 38 years old, and no hospital infection among medical staff was reported. The interval time between first report to continuous zero reports was 35 days. Conclusions: The prevention and control strategies for COVID-19 were more effective compared to that of SARS, and the emergency response procedures were worth to be evaluated and summarized.
Subject(s)
Coronavirus Infections/epidemiology , Epidemics , Pneumonia, Viral/epidemiology , Severe Acute Respiratory Syndrome/epidemiology , Adult , COVID-19 , China/epidemiology , Humans , Middle Aged , PandemicsABSTRACT
Objective: To compare epidemic characteristics between severe acute respiratory syndrome (SARS) and coronavirus disease 2019 (COVID-19). Methods: The general information, including epidemiological and clinical data of the confirmed cases during the epidemic period of the two infectious diseases was collected. The data of SARS in Guangzhou was derived from the technical files of Guangzhou Center for Disease Control and Prevention (GZCDC), including the statistical report and brief report of the epidemic situation (from January 2 to May 11, 2003);The data of COVID-19 in Wuhan was derived from the epidemic data published by Wuhan health and Health Committee's official website and other publicly reported documents (from December 9, 2019 to March 11, 2020). Descriptive analysis was used for a comparativeanalysis of the time and age characteristics, the number of cases, basic reproduction number (R0), proportion of medical staff in confirmed cases (%), crude mortality, etc. Results: A total of 1 072 cases of SARS in Guangzhou were included in the study. The incidence ratio of male to female was 1â¶1.26. 43 cases of death were reported with a mortality rate of 4.01%. The median age was 36 years old. The proportion of medical staff in the early stage of the epidemic was 29.04% (88 cases). As to COVID-19 in Wuhan, a total of 49 978 cases were included, The incidence ratio of male to female was 1.04â¶1. The 2 423 cases of death were reported with a mortality rate of 4.85%. The median age was 56 years old. The proportion of medical staff in the early stage of the epidemic was 30.43% (42 cases). Conclusion: The COVID-19 in Wuhan has the characteristics of high incidence and wide population. However, the epidemic situation is falling rapidly, and the prevention and control strategy needs to be adjusted timely. The prevention and control of nosocomial infection should be addressed in future.