Predictive value of heparin-binding protein, interleukin-6, and C-reactive protein in severe COVID-19, organ failure, and prognosis: a retrospective study (preprint)

Background Systemic inflammation is closely related to the progress of COVID-19.This study aimed to explore the role of combined detection of heparin-binding protein (HBP), interleukin-6 (IL6), and C-reactive protein (CRP) on the severity and clinical outcomes of COVID-19. Methods Our hospital conducted a retrospective analysis of 214 patients with COVID-19 from 1 December 2022 to 28 February 2023. Patients were separated into non-severe and severe categories. Based on whether there was organ failure during hospitalization, patients were further split into the non-organ failure group and the organ failure group. Records on demographics, baseline, and clinical features, as well as the levels of HBP, IL6, and CRP on admission, were collected. Results HBP, IL6, and CRP levels were positively correlated with total bilirubin, lactate dehydrogenase, serum creatinine, and D-dimer but negatively correlated with albumin. HBP, IL6, and CRP levels were remarkably higher in severe, organ failure, and non-survivor groups compared to non-severe, non-organ failure, and survivor groups (all P < 0.001). The optimal cutoff values of HBP, IL6, and CRP for predicting severe COVID-19 were 49.71 ng/mL, 11.24 pg/mL, and 39.67 mg/L, respectively. With a sensitivity and specificity of 85.10% and 95.70% for severe COVID-19, the combined detection of HBP, IL6, and CRP showed the best diagnostic effectiveness. Logistic regression revealed that HBP, IL6, and CRP were independent risk factors for severe COVID-19 and organ failure. Moreover, the risk of death predicted by any two or more of HBP, IL6, and CRP higher than the optimal cutoff value was 3.631 times that of only one of the three indicators higher than the optimal cutoff value (hazard ratio = 3.631, log-rank P = 0.003). Conclusions A combination of HBP, IL6, and CRP has higher diagnostic efficiency of severe COVID-19; combined detection can more accurately and efficiently predict COVID-19 severity, organ failure, and prognosis, which is complementary to previous studies.

The relationship between online courses and mental health among Chinese children

Background Previous studies on the association of online courses and mental health were mainly conducted in universities, and no study investigated the relationship between characteristics of online courses and children’s mental health in primary and secondary school. This study aimed to explore the association of online courses and children’s mental health in primary and secondary school. Methods A cross-sectional study was conducted through an online survey among 540 primary and secondary school students and their parents in the eastern, central and western region of China from April to May in 2020. Children’s mental health was assessed by the Strengths and Difficulties Questionnaire (SDQ). Borderline mental health problems (SDQ total difficulties score ≥ 16) and mental health problems (SDQ total difficulties score ≥ 20) were defined according to Goodman’s standard. Multivariable linear and logistic regression models were used to examine the association between online courses and children’s mental health. Results Compared with those who did not have problems of online courses, children having the difficulty in understanding the content of online courses had a higher SDQ total difficulties score [β = 1.80, 95% confidence interval (CI): 0.89, 2.71] and a higher risk of borderline mental health problems [odds ratio (OR) = 1.93, 95%CI: 1.07, 3.49], while device or internet connection problems were not significantly associated with children’s mental health. Compared with children who had live courses, those having video-recorded courses had a higher SDQ total difficulties score (β = 0.90, 95%CI: 0.01, 1.80). Children who spent more than 4 h on online courses had a higher SDQ total difficulties score than those of less than or equal to 4 h (β = 0.95, 95%CI: 0.09, 1.81). Conclusion We found that online courses with inappropriate characteristics were associated with children’s mental health. The findings called for the efforts to optimize the online courses and improve children’s mental health. Supplementary Information The online version contains supplementary material available at 10.1186/s12888-022-03976-2.

Travel intention during the COVID-19 epidemic: The influence of institutional and interpersonal trust

The global pandemic, COVID-19, has dealt a heavy blow to the tourism industry. Therefore, exploring the mechanisms influencing travel intention in the post-epidemic era can help provide management insights for the recovery of the travel market. Relying on the logic of social cognition theory, we conducted an empirical analysis from the perspective of trust and found that institutional trust and interpersonal trust can positively predict travel intention in the context of the epidemic, while travelers’ health risk perception and safety self-efficacy mediate the relationship between trust and travel intention. Moreover, we verified the moderating role of tourists’ psychological resilience. Further, the study confirms that China’s active prevention policy not only reduces the physical health harm caused by the epidemic, but also effectively increases individuals’ institutional trust in a proactive government. Through China’s active anti-epidemic policy, individuals were able to counteract the negative impact of the COVID 19 epidemic on their travel intention. Further, theoretical and practical implications are discussed.

Sentiments and Emotions for Vaccination in 2021: An International Comparison Study (preprint)

Comprehending how individuals feel when they discuss the vaccine is important for the immunization campaign and outbreak management during a health emergency. Online conversations provide useful information for assessing sentimental and emotional reactions to the evolutions of the pandemic and immunization program. In this study, we employ a corpus of around 58 million English tweets from users in 17 countries that discuss vaccine-related topics in the year 2021. We apply Soft Dynamic Time Warping algorithm and Time Lag Cross-Correlation approach and find that the evolutions of sentiments closely mirror the pandemic statistics. We also examine five topics connected to vaccination and discover that trust is the most predominate feeling, followed by fear, anger, and joy. Some countries reported higher emotional scores on a theme than others (people in Cuba and the United States exhibit higher levels of trust, Pakistanis, and Indians express higher levels of joy, Australians and Chinese express higher levels of fear, and Japanese and British people express higher levels of anger). This study report offers a viewpoint on the public's response to the epidemic and vaccination and aids policy-makers with preventive strategies for a future crisis.

Effects of Different Mask Policies in 2020: A Comparative Analysis (preprint)

The research around the public's usage of masks to prevent the spread of COVID-19 is developing quickly. In this work, we analyzed data from 50 nations to assess the long-term effectiveness of mask policies with different levels using the Poisson regression model and generalized linear mixed model. Over the long term, stricter obligatory mask regulations were linked to more stable patterns and slower increases in Covid-19 case occurrences. The mitigation of disease transmission by mask policies was shown to have substantial major impacts throughout the entire year of 2020, whereas the incidence of illness displays increasing trends over time under various policies. When compared to no mask policy deployment, mask policies might reduce incidence growth by 13.5% to 17.8%, although the incidence under every policy climbed 1.5% to 1.9% on average every ten days. The mask policy is effective in controlling illness, according to the bulk of the data shown above. This result confirms the mask policy's importance as a governing approach in the context of the worldwide pandemic.

Characterization of the enhanced infectivity and antibody evasion of Omicron BA.2.75

Recently emerged SARS-CoV-2 Omicron subvariant, BA.2.75, displayed a growth advantage over circulating BA.2.38, BA.2.76 and BA.5 in India. However, the underlying mechanisms for enhanced infectivity, especially compared to BA.5, remain unclear. Here we show BA.2.75 exhibits substantially higher affinity for host receptor ACE2 than BA.5 and other variants. Structural analyses of BA.2.75 Spike shows its decreased thermostability and increased frequency of the receptor binding domain (RBD) in the “up” conformation under acidic conditions, suggesting enhanced low-pH-endosomal cell entry. Relative to BA.4/BA.5, BA.2.75 exhibits reduced evasion of humoral immunity from BA.1/BA.2 breakthrough-infection convalescent plasma, but greater evasion of Delta breakthrough-infection convalescent plasma. BA.5 breakthrough infection plasma also exhibits weaker neutralization against BA.2.75 than BA.5, mainly due to BA.2.75’s distinct neutralizing antibody escape pattern. Antibody therapeutics Evusheld and Bebtelovimab remain effective against BA.2.75. These results suggest BA.2.75 may prevail after BA.4/BA.5, and its increased receptor-binding capability could support further immune-evasive mutations. Graphical SARS-CoV-2 BA.2.75 is growing rapidly and globally. Cao et al. solved the structure of BA.2.75 spike and show it has stronger binding to human ACE2 than previous variants. BA.2.75 also exhibited distinct antigenicity compared to BA.5, escaping neutralizing antibodies targeting various epitopes and evading convalescent plasma from BA.5 breakthrough infections.

Innate immune sensing of self-derived double-stranded RNA by RIG-I-MAVS-TNF-α regulates the survival and senescence fate of SARS-2-S syncytia (preprint)

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains an important health threat. Syncytial formation by infected cells mediated by the SARS-CoV-2 spike protein (SARS-2-S) is a hallmark of COVID-19-associated pathology. Although SARS-CoV-2 infection evokes cellular senescence, as in other viruses, the direct link between SARS-2-S-induced syncytia with senescence in the absence of viral infection and their senescence fate determinants remain unknown. Here, we show that syncytia formed by cells expressing exogenously delivered SARS-2-S exhibited a senescence-like phenotype in vitro and that SARS-2-S mRNA induced senescence phenotype in vivo. Extracellular vesicles (EVs) containing SARS-2-S also induced senescent syncytium formation independent of the de novo synthesis of SARS-2-S. Mechanistically, we show that the accumulation of endogenous dsRNA, partially that whose formation is induced by activation of the unfolded protein response (UPR), in SARS-2-S syncytia triggers RIG-I-MAVS signalling to drive the TNF-α-dependent survival and senescence fate of SARS-2-S syncytia. Our findings suggest that the fusogenic ability of SARS-2-S might contribute to the side effects of particular COVID-19 vaccines or perhaps long COVID-19 syndrome and provide insight into how these effects can be prevented.

Determination of a reasonable threshold of total bilirubin for the diagnosis of hepatitis B virus- associated acute -on - chronic liver failure. (Theme Issue: New progress in the treatment of hepatobiliary tumors in the new era of immunotherapy.) [Chinese]

Objective: To investigate a reasonable threshold d total bilirubin for the diagnosis of hepatitis B virus - related acute - on -chronic liver failure (HBV - ACLF), and to realize accurate early diagnosis.

Spatiotemporal evolution and suitability of apple production in China from climate change and land use transfer perspectives

Apple production in China, the world's largest apple producer and consumer, is challenged by a huge and growing population coupled with rapid industrialisation and urbanisation. China's apple output has increased continuously over the past 42 years with distinctive spatial differences. Herein, changes in the spatial patterns of apple production increases, and their potential impact factors in China are described at the provincial level. Between 1978 and 2019, the centre‐of‐gravity of apple production shifted southwest towards the upper reaches of the Yellow River, the main water source for agricultural irrigation in North China. Analysis of absolute and relative growth of apple output reveals that the Loess Plateau, characterised by fragile habitat and low land productivity, has gradually become a major contributor to apple production. Despite annual increases in apple output, apple production system has become more fragile and unstable overtime, especially in the Shaanxi‐Gansu region where apple cultivation is prevalent. With continuous changes in policy, the amount of forest transfer (i.e. the area of other land use types converted to forest) has significantly affected the impact of standardised precipitation evapotranspiration index on apple production increases in China. Thus, to prevent the degradation of new forests, a differentiated management and protection system should be implemented for apple planting sub‐regions. This should include altering subsidy policies on apple production, enhancing soil erosion control in the Loess Plateau and strengthening ecological management of forests and grassland.

Analysis of factors influencing air quality in different periods during COVID- 19: A case study of Tangshan, China (preprint)

Since the outbreak of COVID-19, China has experienced the Level I, Level II, and Level III responses to the epidemic, with different measures have an impact on air quality in difference periods. This study aimed to analyze the main factors influencing air quality in three different periods during COVID-19 in Tangshan: the COVID-19 period, the Level I response period, and the Spring Festival period. Here, we used comparative analysis and difference-in-differences (DID) method to explore differences in air quality. During COVID-19, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3-8h) decreased significantly compared to 2017–2019. Air quality improved may be the result of industry closures not related to livelihoods during COVID-19 in 2020. For the Level I response period, multiple linear regression (MLR) models were used to quantify the impact of COVID-19 control measures on AQI, and it was shown that the measures reduced the average AQI by 29.07%, 31.43%, and 20.04% in February, March, and April 2020, respectively. During the Spring Festival, the concentrations of the above-mentioned six pollutants were significantly higher than those in 2019 and 2021 as there were two heavy pollution episodes in 2020, and the possible pollutant sources were local emissions and short-distance transportation. As for the further improvement of air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors.

Re-emergence of Severe Acute Diarrhea Syndrome Coronavirus (SADS-CoV) in Guangxi, China, 2021 (preprint)

Severe acute diarrhea syndrome coronavirus (SADS-CoV) has had a major impact on the swine industry in China, but has not been detected since 2019. Using real-time qPCR and metagenomic surveillance we identified SADS-CoV in a pig farm experiencing diarrheal disease. Genomic analysis supported the undetected circulation of SADS-CoV since 2019.

Differences in Case-Fatality-Rate of Emerging SARS-CoV-2 Variants (preprint)

Variants of Severe-Acute-Respiratory-Syndrome Coronavirus-2 (SARS-CoV-2) has caused tremendous impact globally. It has been widely reported that the Omicron (B.1.1.529) variant is less deadly than the Delta (B.1.617.2) variant, presumably due to immunity from vaccination and previous infection. When measuring the severity of a variant, Case-Fatality-Rate (CFR) is often estimated. The purpose of this work is to calculate the change in CFR of different variants over time from a large number of countries/regions since the start of the pandemic in 2020.

The more mindfulness practice, the more post-trauma stress symptoms? Trait mindfulness and PTSS during the COVID-19 pandemic

Investigating the contributing factors of post-traumatic stress symptoms (PTSS) has always been an important topic in the field of traumatic psychology research. The current study explored the influences of pandemic/epidemic experiences, meditation experiences, and trait mindfulness on PTSS and the mediating role of emotional resilience during the COVID-19 pandemic. A total of 522 participants in Hubei province completed the Five Facet Mindfulness Questionnaire, the Adolescents’ Emotional Resilience Questionnaire, and the PTSD Checklist for DSM-5. The results showed that (1) participants who had family or friends diagnosed with COVID-19 scored higher on avoidance. (2) Participants who had family or friends had been diagnosed with SARS or H1N1 scored higher on PTSS. (3) Participants with meditation experience scored significantly higher on all dimensions of PTSS, other than avoidance. (4) The mediating role of recovering from negative emotions in the relationship between trait mindfulness and PTSS was significant (95%CI= [-0.212, -0.094]), while the generating positive emotion was not significant (95%CI= [-0.050, 0.071]). Individuals with pandemic/epidemic experience are more likely to have a high level of PTSS. Individuals who have meditation experience also express a higher level of PTSS, which may be a result of the quality of meditation. Trait mindfulness and the ability to recover from negative emotions were protective factors against PTSS.

Evaluation of Immune Response and Disease Flares in Metabolic-Associated Fatty Liver Disease (MAFLD) Patients Following SARS-CoV-2 Vaccination: A Prospective Study (preprint)

Background: The ongoing COVID-19 pandemic has led to the focused application of resources toward developing vaccines to prevent COVID-19. However, the efficacy and safety profiles of vaccines against SARS-CoV-2 in patients with metabolic associated fatty liver disease (MAFLD) are still unknown. We aimed to evaluate the safety, tolerability, seroreactivity, and disease flares after SARS-CoV-2 vaccination in MAFLD patients.Methods: For this prospective observational study, we recruited patients receiving two doses SARS-CoV-2 vaccine (CoronaVac). Neutralizing antibody to the SARS-CoV-2 spike receptor-binding domain and IgG to SARS-COV-2 spike-specific were evaluated on Day 0, Day 28, Day 57, and Day 180. All participants with available data were included in the safety and immunogenicity, and disease flares analyses.Findings: 50 MAFLD patients and 50 healthy controls receiving a 0-28 interval vaccination procedure were enrolled. The seroconversion rates of neutralizing antibodies were 16% in MAFLD group (Log10 Geometric Mean Titers (GMT): median 0·783, IQR: 0·719-0·971) and 32% in non-MAFLD group (0·884, IQR: 0·716-1·027) on day 28, and 82% in MAFLD group (1·206, IQR: 1·053-1·467), 90% of non-MAFLD group (1·360, IQR: 1·130-1·464) on day 57, respectively. However, the neutralizing antibody titer in two groups fell below the seropositivity cut-off value on day 180 (MAFLD group 0.928, IQR: 0·773-1·057 vs. non-MAFLD group 0·907, IQR: 0·810-1·009). There was no significant difference in the overall incidence of adverse reactions after two-dose vaccinations between two groups. Furthermore. disease flares were not found in MAFLD group after two-dose vaccinations. On multivariable analysis, NAFLD fibrosis score was negatively associated with seropositive of neutralizing antibody on 180 days (OR 0·03, 95% CI 0·001-0·58, P = 0·022).Interpretation: Two-dose regimen of CoronaVac vaccination in MAFLD patients was safe and well tolerated. MAFLD patients showed a robust immune response after SARS-COV-2 vaccination, which conferred 82% protection against COVID-19 and vaccination does not affect MAFLD disease status.Clinical Trial Registration Details: This trial had been registered in Chinese ClinicalTrials.gov (ChiCTR2100042717).Funding Information: Project of Key Medical Disciplines of Hangzhou, the Health and Science and Technology Planning Project of Hangzhou municipal Health Commission (No. A20210205).Declaration of Interests: JP Shi reports grants from Project of Key Medical Disciplines of Hangzhou for the Department of infectious & Hepatology. QR Zhu reports grants from the Health and Science and Technology Planning Project of Hangzhou municipal Health Commission, during the conduct of the study. All authors declare no competing interests. Ethics Approval Statement: The study was approved by local Hospital Ethics Committee (2021(E2)-KS-049) and written informed consent was obtained from patients involved before enrolment when data were collected.

Retrospective study of risk factors of 43 patients with severe coronavirus disease 2019 pneumonia

Objective To explore the risk factors of 43 patients with severe coronavirus disease 2019 pneumonia(COVID-19) in Hangzhou. Methods The clinical and epidemiological data of COVID-19 confirmed patients during 1 st January 2020 and 20 th March 2020 in Hangzhou were collected.The risk factors of the severe cases were analyzed by univariate and multivariate logistic regression. Results Up to 20 th March 2020,a total of 169 patients were reported in Hangzhou, among which, 43(25.44%) were severe cases.The analysis showed that over 60 years old[χ~2=6.16,P=0.01;OR(95%CI)=3.35(1.29-8.69)],hypertension[χ~2=6.91,P<0.001;OR(95%CI)=3.80(1.40-10.28)],headache as initial onset symptom [χ~2=4.80,P=0.03;OR(95%CI)=3.02(1.12-8.09)] and delayed hospitalization(Z=-2.21,P=0.03) were statistically significant. Conclusions Age over 60 years, hypertension, headache as initial onset symptom are risk factors and delayed hospitalization is influencing factor of severe COVID-19 patients.It is necessary to monitor COVID-19 patients′ condition and take effective treatment timely.

Probing the SAM Binding Site of SARS-CoV-2 nsp14 in vitro Using SAM Competitive Inhibitors Guides Developing Selective bi-substrate Inhibitors (preprint)

The COVID-19 pandemic has clearly brought the healthcare systems world-wide to a breaking point along with devastating socioeconomic consequences. The SARS-CoV-2 virus which causes the disease uses RNA capping to evade the human immune system. Non-structural protein (nsp) 14 is one of the 16 nsps in SARS-CoV-2 and catalyzes the methylation of the viral RNA at N7-guanosine in the cap formation process. To discover small molecule inhibitors of nsp14 methyltransferase (MT) activity, we developed and employed a radiometric MT assay to screen a library of 161 in house synthesized S-adenosylmethionine (SAM) competitive methyltransferase inhibitors and SAM analogs. Among seven identified screening hits, SS148 inhibited nsp14 MT activity with an IC50 value of 70 {+/-} 6 nM and was selective against 20 human protein lysine methyltransferases indicating significant differences in SAM binding sites. Interestingly, DS0464 with IC50 value of 1.1 {+/-} 0.2 M showed a bi-substrate competitive inhibitor mechanism of action. Modeling the binding of this compound to nsp14 suggests that the terminal phenyl group extends into the RNA binding site. DS0464 was also selective against 28 out of 33 RNA, DNA, and protein methyltransferases. The structure-activity relationship provided by these compounds should guide the optimization of selective bi-substrate nsp14 inhibitors and may provide a path towards a novel class of antivirals against COVID-19, and possibly other coronaviruses.

Antiviral and virucidal effects of curcumin on transmissible gastroenteritis virus in vitro

Emerging coronaviruses represent serious threats to human and animal health worldwide, and no approved therapeutics are currently available. Here, we used Transmissible gastroenteritis virus (TGEV) as the alpha-coronavirus model, and investigated the antiviral properties of curcumin against TGEV. Our results demonstrated that curcumin strongly inhibited TGEV proliferation and viral protein expression in a dose-dependent manner. We also observed that curcumin exhibited direct virucidal abilities in a dose-, temperature- and time-dependent manner. Furthermore, time-of-addition assays showed that curcumin mainly acted in the early phase of TGEV replication. Notably, in an adsorption assay, curcumin at 40 M resulted in a reduction in viral titres of 3.55 log TCID₅₀ ml^-1, indicating that curcumin possesses excellent inhibitory effects on the adsorption of TGEV. Collectively, we demonstrate for the first time that curcumin has virucidal activity and virtual inhibition against TGEV, suggesting that curcumin might be a candidate drug for effective control of TGEV infection.

An infant with a mild SARS-CoV-2 infection detected only by anal swabs: a case report

ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China and has spread rapidly worldwide. We present a mild SARS-CoV-2 infection in a baby with non-productive cough and normal chest computed tomography, in whom only anal swabs tested positive by real-time PCR testing for SARS-CoV-2. She was given atomization inhalation therapy with recombinant human interferon alfa-1b for 10 days. Her anal swabs remained positive for eight days, whereas her throat swabs were persistently negative by real-time PCR testing. Mild and asymptomatic cases, especially in children, might present with PCR negative pharyngeal/nasal swabs and PCR positive anal swabs. Those patients are potential sources of infection via fecal-oral transmission for COVID-19.

Lifetime Prediction of Ultraviolet Light-Emitting Diodes Using a Long Short-Term Memory Recurrent Neural Network

Ultraviolet light-emitting diodes (UV LEDs) play an important role in inactivating novel coronavirus pneumonia, but the lack of rapid lifetime prediction can easily cause untimely failure detection, long product development cycles, and high costs. This study predicts the lifetime of UV LEDs based on the long short-term memory (LSTM) recurrent neural network (RNN). First, the equipment setup was designed to conduct an aging test to obtain a predicted length of life for the UV LED samples using a Weibull distribution. Next, LSTM RNN was employed to predict the lifetime of the UV LEDs based on the radiation power degradation. The results were then compared with those from nonlinear least squares (NLS) regression recommended by the IESNA TM-21 industry standard. Finally, the robustness of the two methods was analyzed by changing the starting times of the predictions. The results showed that the LSTM RNN proposed in this letter reveals not only a 29.7% lower lifetime prediction error compared with the NLS regression, but also a more stable robustness. Thus, the LSTM RNN method is found to be more accurate and more robust in predicting the lifetime of UV LEDs.

CT examination procedures and isolation protection measures of COVID-19

OBJECTIVE: The novel coronavirus pneumonia(Coronavirus disease 2019, COVID-19) is an emerging infectious disease. The disease is highly contagious.At present, the domestic epidemic situation has been basically controlled, while the overseas epidemic is spreading, and the prevention and control are still severe. Radiological diagnosis is a key point in the diagnosis and treatment of COVID-19. Those with pneumonia imaging characteristics have been included in the new coronavirus pneumonia diagnosis and treatment plan(trial version fifth). The radiology department is responsible for the CT examination of new coronaviruses. The radiology staff, especially the technicians, have become the most dangerous front-line group after the fever clinic, infection department and ICU. This article aims to standardize the radiological examination technology, avoid cross-infection in the hospital, improve the quality of imaging examinations, guide the sensory control work of radiology department, and achieve the goal of "zero infection" for radiologist. METHODS: In order to analyze the difficulties in the protection of the novel coronavirus pneumonia infection and the characteristics of the elderly patients in the second medical center of the PLA General Hospital, the department established a new coronary pneumonia response treatment group, regularly organized protection training, strengthened the awareness of disinfection and isolation, and ensured the high-quality image scanning while comprehensively controlling infection. The department has also formulated the operation procedures and disinfection and protection measures for radiology staff, especially technician in CT examination of novel coronavirus pneumonia, and timely adjusted CT scanning parameters for elderly patients who could not cooperate with breathing, so as to provide standard preventive protection and X-ray radiation protection for the accompanying persons of critical patients. RESULTS: In order to cope with infectious diseases and elderly patients, we obtained high-quality CT image data, solved the problem of weak sensory control of radiology department, and effectively prevented cross infection in hospital through organizing protection training assessment, strengthening disinfection and isolation protection measures, standardizing CT examination process, adjusting CT scanning parameters, laying a solid foundation for effective control of epidemic situation in hospital.On the premise of good protection, CT examination of the patients suspected novel coronavirus pneumonia was carried out smoothly. CONCLUSIONS: Covid-19 is a deadly, highly contagious disease.It is essential to continuously improve the diagnosis and treatment technology of medical staff in the radiology department, strengthen isolation protection, and standardize the CT examination process for future prevention and control of new coronavirus pneumonia.