Overview of global organ donation and transplantation in 2020

Objective At present, the novel coronavirus pneumonia (COVID-19) pandemic is still raging in certain regions around the globe, and the prevention and control of the pandemic should be strengthened. Under the challenges of respective social environment and allocation of medical resources, and support from the inertia and inherent productivity of the system on which the industry depends, extensive attempts are being delivered to push forward the work of organ donation and transplantation in each country. Under the guidance of national experts and committee members, Shanxi Provincial Human Organ Procurement and Allocation Service Center was established on August 28, 2018 approved by the former Shanxi Provincial Health and Family Planning Commission. It is the only independent non-profit medical institution in Shanxi Province. In this article, the system construction of citizen's organ donation and transplantation fitting national and provincial conditions was further explored according to the data analysis of organ donation and transplantation in the United States and Spain during the COVID-19 pandemic combined with the implementation of organ donation work in Shanxi Provincial Human Organ Procurement and Allocation Service Center.Copyright © 2021 The authors.

Vascular e-Learning in the MENA Region during the COVID-19 Pandemic

Introduction: With the steady rise in interest in e-learning and the sudden boost provoked by the COVID-19 pandemic, it becomes necessary to explore the e-learning experience within the medical community in the MENA region. Methods: An online survey was conducted during the early phase of the COVID-19 pandemic (June 15 - October 15, 2020). Results: Seventy-eight vascular surgeons and trainees from 16 countries participated. 88% of the participants were male. 55% attended more than 4 activities. More than half of the activities did not lead to any official certification. Topic was the primary determinant for attending an activity. National societies and social media played a major role in disseminating activity-related information. Lack of time, increased workload, differences in time zone, and technical issues were the main obstacles cited. 84.7% of the participants had a positive impression. Conclusion: As the COVID-19 pandemic boosted e-learning activities in vascular surgery, a shift was observed in the learning mode and new leadership skills were called upon. Novel ways of quality control are required.

A new method for accurate calculation of case fatality rates during a pandemic: Mathematical deduction based on population-level big data

Background: During the course of an epidemic of a potentially fatal disease, it is difficult to accurately estimate the case fatality rate (CFR) because many calculation methods do not account for the delay between case confirmation and disease outcome. Taking the coronavirus disease-2019 (COVID-19) as an example, this study aimed to develop a new method for CFR calculation while the pandemic was ongoing. Methods: We developed a new method for CFR calculation based on the following formula: number of deaths divided by the number of cases T days before, where T is the average delay between case confirmation and disease outcome. An objective law was found using simulated data that states if the hypothesized T is equal to the true T, the calculated real-time CFR remains constant;whereas if the hypothesized T is greater (or smaller) than the true T, the real-time CFR will gradually decrease (or increase) as the days progress until it approaches the true CFR. Results: Based on the discovered law, it was estimated that the true CFR of COVID-19 at the initial stage of the pandemic in China, excluding Hubei Province, was 0.8%;and in Hubei Province, it was 6.6%. The calculated CFRs predicted the death count with almost complete accuracy. Conclusions: The method could be used for the accurate calculation of the true CFR during a pandemic, instead of waiting until the end of the pandemic, whether the pandemic is under control or not. It could provide those involved in outbreak control a clear view of the timeliness of case confirmations. © 2023 The Author(s)

The Superhero and the Salted Fish: The Aesthetic of the Ordinary in "Doomsday” Chinese Web Fiction

In this article I take a close look at several representative Chinese web novels that apparently tell "ordinary tales of ordinary people” set in an apocalyptical universe. By examining their shared characteristics in setting, plot arc, and character development, I show that the current pandemic shapes the liminal space created in these "doomsday” (mori or moshi) novels and generates through them an aesthetic of the ordinary. This unique aesthetic follows decades-long trends in Chinese web fiction on the one hand, while on the other finding inspiration in the extraordinary historical moment we live in, as rising popularism in China wages war against "pandemic orientalism” abroad. Indeed, the COVID-19 pandemic has become both the background and staging ground for these Chinese web authors and readers to perform self-maintenance and explore the meaning of life, the essence of their identity, and even the boundary between human and non-human forms. Given Chinese web fiction's immediacy to lived experiences, responsiveness to contemporary socio-cultural events, and the speed and scope of self-reproduction and proliferation in Chinese cyber space, these works can also offer some clue to the trauma wrought by and still unfolding in the current pandemic. © 2023 Taylor & Francis Group, LLC.

All children left behind: drug adherence and the COVID-19 pandemic

We study the effect of the COVID-19 pandemic on chronic disease drug adherence. Focusing on asthma, we use a database that tracks the vast majority of prescription drug claims in the U.S. from 2018 to 2020. Using a difference-in-differences empirical specification, we compare monthly drug adherence in 2019 and 2020 for the set of chronic patients taking asthma medication before the onset of the pandemic. We find that the pandemic increased adherence for asthmatic adults by 10 percent. However, we find a sustained decrease in pediatric drug adherence that is most severe for the youngest children. By the end of 2020, drug adherence fell by 30 percent for children aged 0 to 5, by 12 percent for children aged 6 to 12, and 5 percent for children aged 13 to 18. These negative effects are persistent regardless of changes in medical need, socioeconomic factors, insurance coverage and access to health services. We provide suggestive evidence that the observed pediatric changes are likely driven by parental inattention.

Expert consensus on diagnosing & treating pediatric surgical diseases during the epidemic period of COVID -19.

Ever since late December 2019, corona virus disease 2019 (COVID -19) has been reported in China. It presents a general trend of a global pandemic. By consulting the relevant Chinese government regulations and the latest publications of COVID -19, more than 20 pediatric surgical specialists from China formulated the Expert Consensus of COVID -19 Prevention and Control Protocol. Suitable for clinical practices, it provides recommendations for children's hospitals and pediatric surgical institutions at domestic and abroad.Copyright © 2020 by the Chinese Medical Association.

Bayesian Network Model of China's Financial Risk Under COVID-19 Based on Grey Clustering

The panic caused by COVID-19 and the stagnation of business activities induced the continuous breeding of China's financial risks. This paper considers the COVID-19 and economic indexes as nodes to establish the Bayesian topology of financial risk. The liquidity, sovereign, and stock market risks are mainly considered to evaluate the financial risk. Based on the risk characteristics, the central interval trapezoidal possibility functions are designed, then the grey clustering model is used to classify the financial risk into four different levels. The possibility distribution of financial risk levels under different COVID-19 index levels is inferenced through the Bayesian network. Finally, each node's monthly time series data from October 2019 to May 2021 is used to learn by NETICA software, and the conditional probability of each node and the possibility of financial risk are deduced. It is concluded that liquidity risk and sovereign risk are more sensitive to COVID-19, while the stock market risk is not very sensitive to it.

Economic policy uncertainty and environmental governance company volatility: Evidence from China

This study primarily investigates whether China's economic policy uncertainty (EPU) can predict the environmental governance index volatility, which selects companies regarding environmental protection such as sewage treatment, solid waste treatment, air treatment, and energy saving. Empirical results reveal that China's EPU index can predict the environmental governance index volatility. Furthermore, even during periods of fluctuating volatility and the COVID-19 pandemic, China's EPU index can reliably forecast the environmental governance index volatility. This paper tries to provide new evidence regarding the connection between EPU and environmental governance companies' stock volatility. © 2023

Designing the intelligent epidemic control robot control system for epidemic prevention and control

In response to the current problem of highly contagious new coronavirus and repeated epidemics, which cause great threat and inconvenience to people's production and life, In this paper, a multifunctional intelligent epidemic prevention robot control system based on a single chip microcomputer is designed to realize the intelligent management of community epidemic prevention and control. Stm32 microcontroller is used as the control core. In order to improve the efficiency of prevention and control management and reduce contact, the Jetson Nano controller is designed to provide map reproduction, positioning navigation, and path planning functions. It is used to summarize patient status information quickly and efficiently, the design provides face recognition and remote monitoring functions to realize real-time uploading of accurate data to cell phone console APP and computer terminal integrated monitoring platform. Through the map reconstruction and positioning simulation test, an optimal path is selected to ensure the stable movement of the epidemic prevention robot. The face_recognition algorithm's error reception rate, error rejection rate, and accuracy rate are 0.35%, 11.12%, and 88.53%, respectively, which are better than the face-net algorithm in three aspects and can well meet the needs of small communities. The face recognition needs of small community areas can be well met. This epidemic prevention and control system can realize efficient community epidemic prevention and control management, reduce contact transmission, and lower the difficulty of epidemic prevention and control. © 2022 IEEE.

Spike Proteins Increase Endothelial Calcium via TRPV4

Introduction: Endothelial dysfunction plays a central role in the pathogenesis of acute respiratory distress syndrome (ARDS) with COVID-19. Transient receptor potential vanilloid 4 (TRPV4), a cation channel ubiquitously expressed, can regulate inflammatory cytokines that play key roles in in acute lung injury/ARDS. However, it is unknown whether spike proteins can affect TRPV4 activity and related Ca2+]signaling in pulmonary microvascular endothelial cells. Hypothesis: We hypothesized that spike protein causes activation of TRPV4 channels, resulting in increases in intracellular Ca2+], may lead to pulmonary endothelial dysfunction. Method(s): Intracellular Ca2+]concentrations in human lung microvascular endothelial cells (HLMECs) were measured by calcium imaging in the presence of SARS CoV-2 Spike protein S1, receptor-binding domain (RBD) of S1, or protein S2 with or without co-incubation of the selective TRPV4 antagonist (HC-067047). Result(s): The intracellular Ca2+]concentration of HLMECs was significantly increased when incubated with S1 (1, 10nM) or S1 RBD (1, 10nM) for 12, 24, 48 hours, relative to control or S2 (p<0.05, respectively, Fig. A, B). Co-incubation of HC-067047 (500nM) significantly attenuated Ca2+]intracellular influx upon treatment with S1 (10nM, 24 hours, p<0.05) or S1 RBD (10nM, 24 hours, p<0.05) (Fig. C). TRPV4 sensitive current density was significantly increased when incubated with S1 (10nM) or S1 RBD (10nM) for 24 hours (p<0.05 vs. control, respectively, Fig. D-G), whereas co-incubated with HC-067047 (500nM) significantly reversed the S1 (10nM, 24 hours, p<0.05) or S1 RBD (10nM, 24 hours, p<0.05) induced increases of TRPV4 sensitive current density (Fig. D-G). Conclusion(s): The of SARS CoV-2 Spike protein S1 and S1 RBD caused the activation of TRPV4 channels, resulting in increased intracellular Ca2+], may lead to pulmonary endothelial dysfunction. (Figure Presented).

Safety and Immunogenicity of a Bivalent Omicron-Containing Booster Vaccine against COVID-19

Background. Vaccination strategies that provide enhanced immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are needed. We evaluated the safety and immunogenicity of a bivalent omicron containing vaccine, mRNA-1273.214 (50 mug), administered as a second booster dose in adult participants. Methods. In this ongoing phase 2/3 trial, 50 mug of the bivalent vaccine mRNA-1273.214 (25 mug each ancestral Wuhan-Hu-1 and omicron BA.1 spike mRNAs) or 50 mug of the authorized mRNA-1273 were administered as second boosters in adults who previously received a 2 dose (100 mug) primary series and a first booster (50 mug) dose of mRNA-1273 (>= 3 months prior). Primary objectives were safety and reactogenicity and immunogenicity 28 days post-booster dose. Results. In participants with no prior SARS-CoV-2 infection who received booster doses of mRNA-1273.214 (n=334) or mRNA-1273 (n=260), neutralizing antibody (nAb) geometric mean titers (GMTs [95% confidence interval (CI)]) against omicron BA.1 were 2372.4 (2070.6-2718.2) and 1473.5 (1270.8-1708.4), respectively. The model-based GMT ratio (GMR [97.5% CI]) of mRNA-1273.214 compared to mRNA-1273 was 1.75 (1.49-2.04), meeting the pre-specified superiority criterion against omicron BA.1. The pre-specified criterion for non-inferiority against the ancestral SARS-CoV-2 strain was also met. Additionally, mRNA-1273.214 elicited higher GMTs (727.4 [632.8-836.1]) than mRNA-1273 (492.1 [431.1-561.9]) against omicron subvariants BA.4/BA.5 [GMR (95% CI) 1.69 [1.51-1.90])]. Binding antibody responses against alpha, beta, gamma, delta, and omicron were numerically higher in the mRNA-1273.214 group compared to mRNA-1273. mRNA-1273.214 GMTs were consistently higher across age (18-< 65 and >= 65 years) and pre-booster SARS-CoV-2 infection subgroups (Figure). Safety and reactogenicity were similar for both vaccine groups. Conclusion. The bivalent omicron containing mRNA-1273.214 elicited superior nAb responses against omicron 28 days post-immunization compared to mRNA-1273 regardless of age and prior SARS-CoV-2 infection;no new safety concerns were identified. (Figure Presented).

Molecular Tracer Characterization during COVID-19 Pandemic in Shanghai: Changes in the Aerosol Aqueous Environment and Implications for Secondary Organic Aerosol Formation

The COVID-19 lockdown has opened a unique window for investigating aerosol formation and evolution with controlled anthropogenic emissions in urban areas. Here, variations of PM2.5 chemical compositions, gaseous pollutants, meteorological conditions, and secondary organic aerosol (SOA) molecular tracers were monitored during three stages at an urban site (Pudong) and a suburban site (Qingpu) in Shanghai, which were defined as pre-COVID lockdown (PL), during COVID lockdown (DL), and after COVID lockdown (AL) in 2020. Abundances of pollutants during the same periods back in 2019 were also analyzed for a more comprehensive intercomparison and evaluation of the impact of the 2020 COVID-19 lockdown on regional air quality. With the sudden cessation of anthropogenic activities during the lockdown, significant reductions in PM2.5 were observed compared to both PL in 2020 (32% in Pudong and 36% in Qingpu) and the DL period back in 2019 (31% in Pudong and 35% in Qingpu), which was accompanied by the significantly reduced PM2.5 components (29-44% and 14-44% reductions in sulfate, nitrate, ammonium, organic carbon, and elemental carbon for Pudong and Qingpu, respectively). In particular, with the reduced secondary inorganic aerosol (SIA), the time series of SOA molecular tracers also underwent significant reduction that was characteristic to the lockdown. Amid the uncontrolled biogenic emissions and even slightly enhanced atmospheric oxidation capacity during the 2020 DL period, controlling anthropogenic emissions exhibits synergistic effects on the reduction of SIA and SOA, which could be further attributed to the changes in the aerosol aqueous-phase environment, such as aerosol liquid water content (ALWC), ionic strength, sulfate content, and particulate NH4+. Based on thermodynamic modeling, greatly reduced ALWC was observed during 2020 DL, which can prevent the partitioning of oxygenated organics into the condensed phase as well as the aqueous-phase formation of SOA. Higher ionic strength in 2020 DL may have a "salting-out" effect on gas- particle partitioning of oxygenated organics. The reduced SOA during 2020 DL at both sites can generally be reflected by the predicted heterogeneous reaction kinetics (gamma) of the isoprene SOA formation pathway. Overall, our study showed a synergistic effect in suppressing SIA and SOA formation upon the reduction of anthropogenic emissions during the COVID-19 lockdown, which shed light on the importance of controlling anthropogenic emissions in regulating secondary aerosol formation in typical urban areas of East China.

Sodium Reduction in Restaurant Food: A Randomized Controlled Trial in China.

Restaurant food is one of the important sources of sodium intake in China. We aimed to determine whether a restaurant-based comprehensive intervention program may induce lower sodium content in restaurant food. A randomized controlled trial was implemented between 2019 and 2020 in 192 restaurants in China. After baseline assessment, the restaurants were randomly assigned to either an intervention or a control group (1:1). Comprehensive activities designed for intervention restaurants were conducted for one year. The primary outcome was the difference in change of sodium content estimated by the mean values of five best-selling dishes for each restaurant, from baseline to the end of the trial between groups. In total, 66 control restaurants and 80 intervention restaurants completed the follow-up assessment. The average sodium content of dishes at baseline was 540.9 ± 176.8 mg/100 g in control and 551.9 ± 149.0 mg/100 g in intervention restaurants. The mean effect of intervention after adjusting for confounding factors was -43.63 mg/100 g (95% CI: from -92.94 to 5.66, p = 0.08), representing an 8% reduction in sodium content. The restaurant-based intervention led to a modest but not significant reduction in the sodium content of restaurant food. There is great urgency for implementing effective and sustainable salt reduction programs, due to the rapid increase in the consumption of restaurant food in China.

A Wushu Posture Recognition System Based on MediaPipe

With the development of information technology such as computer vision and human-computer interaction, online physical education has become an active field of current physical education research. Especially with COVID-19, a significant number of people are restricted to learning and exercising motor skills in small spaces, but most of the movement cannot be carried out in narrow environment. Wushu is exempt from this restriction, so it is often used in online physical education in China. In this context, we propose a Wushu posture recognition system based on camera and MediaPipe for tracking hand, head and body movements of users. According to the Landmarks returned by Mediapipe, we designed recognition algorithms for Fist, Palm, Hook, Tiger Talon, Forward Lunge, Horse Stance and Empty Step. By testing 400 photos, the experimental results show that these algorithms can effectively identify these movements. From there, we built a system using Python to help users perform Wushu training independently, safely, and efficiently without a teacher. © 2022 IEEE.

Comparative Study on the Review Text of COVID-19 Epidemic Prevention and Control Policy Between China and Japan

COVID-19 continues to spread and spread, and the epidemic situation in China and Japan is not optimistic, which brings huge hidden dangers and serious impact to the economic cooperation and development of China and Japan. Aiming at the comments and feedback of Chinese and Japanese people on government policies, this paper proposes a text emotional tendency analysis method based on maximum entropy model, which extracts word relation features and semantic features from the comment context. The maximum entropy model is used to identify the emotional tendency of words, and the smoothing technique is used to solve the problem of sparse features. At the same time, through the weighting and normalization of specific emotional words and punctuation marks, the uncertainty of the emotional tendency of words in the context is further reduced, and the experimental results verify the effectiveness of the model.

Joint Optimization of Energy and QoS for Smart Clothing with Multi-posture Participation

The rising aging population, inequality of medical resources and severe COVID-19 infection rate arises inevitable individual and social contradictions. One of the representative developing technologies, smart wearables, is dedicated to offering accurate personal healthcare. Nevertheless, energy constraints as well as unpredictable data transmission are critical in the development of wearable devices. In this regard, we investigate the key concerns of energy life and quality of service (QoS) for smart clothing. Unlike general wireless sensing networks (WSN), the wireless body area network (WBAN) embedded in smart clothing is highly affected by human postural changes. In this paper, we formulate the smart clothing with multi-posture participated from two perspectives: (i) For energy life, we address the energy consumption, the energy harvested by the nodes, and the battery discharge. (ii) The QoS involves the path loss and time delay. Moreover, five typical daily activity states have been discussed to model the impact of posture changes. Under the influence of the posture state, the trade-off between the collected tribological electrical energy and the consumed energy is also presented in the paper. We parameterize the path loss, transmission delay, energy consumption and collection in each posture, and integrally formulate the energy problem and QoS to a joint optimization problem. Particle swarm algorithm (PSO), sine cosine algorithm (SCA), and Q-learning algorithm are adopted to optimize the overall cost, time delay, and energy consumption. In addition, a comparison of the battery power of the nodes is conducted. Simulation results show that each algorithm achieves certain optimization effect, e.g., PSO, SCA, and Q-learning reduce total costs by 14%, 22%, and 30%, respectively. Q-learning is also effectively decreasing latency, energy consumption and improving battery life. IEEE

User Behavior Pre-training for Online Fraud Detection

The outbreak of COVID-19 burgeons newborn services on online platforms and simultaneously buoys multifarious online fraud activities. Due to the rapid technological and commercial innovation that opens up an ever-expanding set of products, the insufficient labeling data renders existing supervised or semi-supervised fraud detection models ineffective in these emerging services. However, the ever accumulated user behavioral data on online platforms might be helpful in improving the performance of fraud detection on newborn services. To this end, in this paper, we propose to pre-train user behavior sequences, which consist of orderly arranged actions, from the large-scale unlabeled data sources for online fraud detection. Recent studies illustrate accurate extraction of user intentions∼(formed by consecutive actions) in behavioral sequences can propel improvements in the performance of online fraud detection. By anatomizing the characteristic of online fraud activities, we devise a model named UB-PTM that learns knowledge of fraud activities by three agent tasks at different granularities, i.e., action, intention, and sequence levels, from large-scale unlabeled data. Extensive experiments on three downstream transaction and user-level online fraud detection tasks demonstrate that our UB-PTM is able to outperform the state-of-the-art designing for specific tasks. © 2022 ACM.

Research progress in anti-severe acute respiratory syndrome coronavirus 2 neutralizing antibodies

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is so contagious that it has caused a global pandemic known as COVID-19. Anti-SARS-CoV-2 antibodies are safe and specific, and have satisfactory neutralizing activities against the virus. As the spike glycoprotein (S protein) of SARS-CoV-2 is critical to virus infection, it is the most important target of neutralizing antibodies. Most of their epitopes are located in the receptor binding domain, while others are located in S2 subunit or S1/S2 hydrolysis site. Serum-derived polyclonal antibodies, monoclonal antibodies, Fc fusion proteins and signle-domain antibodies can be screened out using single-cell sequencing, antibody library, and transgenic mice technologies. A number of antibodies have entered clinical trials, some of which have been authorized by US Food and Drug Administration for emergency use. Here the current developments of anti-SARS-CoV-2 neutralizing antibodies are reviewed, which will be of benefit to COVID-19 treatment. © 2021 Chinese Journal of Pharmacology and Toxicology. All rights reserved.

Advances of Therapeutic Monoclonal Antibodies Targeting Human Interleukin-6 Protein

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.

Source-tracing investigation and analysis of a case of nucleic acid detection of 2019 Novel Corona Virus positive environmental samples in a medical institution

Objective This study is conducted against a case of positive nucleic acid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of environmental samples in a medical institution in Chengdu. Epidemiological investigation methods and laboratory tests are used to investigate the source and analyze the cause of the case, to explore the nucleic acid monitoring mode and the disposal scheme of abnormal conditions of SARS-CoV-2 in the medical institution environment. Methods Chengdu and Shuangliu district CDC jointly investigate A Medical Institution (A refers to a specific anonymous medical institute). Epidemiological surveys were conducted though related influencing factors of the medical institution. SARS-CoV-2 nucleic acid detection kits were used for detection. Sequencing was carried out on a second-generation sequencing platform. Results From Jan.18th 2021 to Jan.20th 2021, a total of 62 smear samples of environment and articles were collected, among which 30 samples were positive for SARS-CoV-2 nucleic acid. 30 positive samples were divided into Gongwei building (9) and Zhonghe building (21) according to the sampling location. The samples' Ct values of ORF1ab gene in Gongwei building were lower than that in Zhonghe building, and the difference was statistically significant (t=2.452, P=0.036). According to the nature of the specimens, they were divided into external environment smear samples (24 samples) and cleaning tool smear samples (6 samples). The N gene Ct values of external environment smear samples were lower than that of cleaning tools, and the difference was statistically significant (Z=-2.204, P=0.028). Through gene sequencing analysis, the sequence of SARS-CoV-2 nucleic acid positive environmental samples detected this time is highly homologous with SARS-CoV-2 vaccine (> 99.9%). Conclusions The positive environmental samples of SARS-CoV-2 nucleic acid in the medical institution are caused by the damage and leakage of COVID-19 vaccine ampoules in the process of vaccination, which led to the contamination of the vaccination room of public health building, and then transmit to the hospital environment of fever clinic and complex building through cleaning tools by cleaning workers. With the progress of COVID-19 vaccine vaccination, there is a high probability of environmental pollution of vaccine liquid in the vaccination area of medical institutions. Therefore, it is necessary in combination with the current normalization monitoring requirements of domestic COVID-19 epidemic situation to refine the specific implementation plan, conduct vaccination in a scientific and orderly manner, and reduce the social impact. © 2022, Publication Centre of Anhui Medical University. All rights reserved.