Tlda: A Transfer Learning Based Dual-Augmentation Strategy for Traditional Chinese Medicine Rare Disease Syndrome Differentiation (preprint)

The Traditional Chinese Medicine (TCM) has demonstrated its significant medical value over the decades, particularly during the COVID-19 pandemic. TCM-AI interdisciplinary models have been proposed to model TCM knowledge, diagnosis, and treatment experiments in clinical practice. Among them, numerous models have been developed to simulate the syndrome differentiation process of human TCM doctors for automatic syndrome diagnosis. However, these models are designed for normal scenarios and trained using a supervised learning paradigm which needs tens of thousands of training samples. They fail to effectively differentiate syndromes in rare disease scenarios where the available TCM electronic medical records (EMRs) are very limited for each unique syndrome. To address the challenge of rare diseases, this study proposes a simple yet effective method called Transfer Learning based Dual-Augmentation (TLDA). TLDA aims to augment the limited EMRs at both the sample-level and feature-level, enriching the pathological and medical information during training. Extended experiments involving 11 comparison models, including the state-of-the-art model, demonstrate the effectiveness of TLDA. TLDA outperforms all comparison models by a significant margin. Furthermore, TLDA can also be extended to other medical tasks when the EMRs for diagnosis are limited in samples.

Promoting college students' systems thinking in asynchronous discussions: Encouraging students initiating questions.

Introduction: Systems thinking is one of the most important thinking skills for medical students. Most of the studies focused on designing technological-rich learning environments which usually take several weeks or months to implement. However, the occurring of COVID-19 health crisis does not allow extensive period of time to implement classroom interventions. How to support students' systems thinking in fully online environments remains an issue. This study examines if encouraging students initiating questions on asynchronous discussion forum supports their systems thinking development. Methods: Twenty-two junior students participated in this study. We compared if and how students developed systems thinking when they were encouraged asking questions in asynchronous discussion forums in one unit with another unit in which traditional method was used. Multiple analytical methods were applied in this study, including, social network analysis, epistemic network analysis, inferential statistical analysis and qualitative analysis. Results: Quantitative results showed that all students improved systems thinking compared with traditional teaching unit among which leader students improved most. Further analysis on students' discussion posts suggested leader students asked high systems thinking level questions and provided high level responses. Epistemic network analysis unpacked how leader, regular and peripheral students engaged in initiating questions and providing responses differently. Discussion: This study provides methodological and practical contributions. Methodologically, this study extends prior methods of applying network analysis beyond its original preservice teacher training contexts; practically, this study provides strategies to practitioners to support students' asynchronous forum discussions.

SARS-CoV-2 nucleic acid positive rate among close contacts of the patients infected with novel Coronavirus in China: a meta-analysis

The aim this meta-analaysis was to understand the current status of nucleic acid positivity rate of severe acute respiratory syndrome coronavirus (SARS-CoV-2) in close contacts of novel coronavirus-infected patients in China. The literature related to SARS-CoV-2 nucleic acid testing in close contacts of novel coronavirus-infected patients in China was searched in PubMed, EMbase, China Journal Full-text Data Base (CNKI), Wanfang Science and Technology Journal Full-text Database, and Veep Chinese Science and Technology Journal Full-text Database (VIP) from December 2019 to December 2020. 24 December 2019-2020. The quality of the literature was evaluated with reference to the revised American Agency for Healthcare Research and Quality (AHRQ) statement. StataSE15.0 software was used for meta-analysis, combined positive rates were calculated using the Freeman-Tukey double inverse sine conversion method, subgroup analysis was performed according to sex, age, infected person relationship, mode of infection and frequency of exposure, and sensitivity analysis and Egger's method was used to test for publication bias. Results A total of 11 publications were included, with a total sample size of 24 906 cases. The SARS-CoV-2 nucleic acid positivity rate in the close contact population of novel coronavirus-infected patients was 5.42% (95% CI: 3.57%-7.64%), and subgroup analysis showed that the positivity rate was 4.35% in males and 6.36% in females;the positivity rate was 5.88% in the 0-9 years group and 4.76% in the 10-59 years group. The positive rates were 5.88% for the 0-9 years group, 4.76% for the 10-59 years group and 8.73% for the =60 years group;13.42% for family members and 2.09% for others;11.44% for people living together, 9.90% for meals and 1.95% for other modes of infection;and 1.32%, 6.12% and 9.60% for occasional, normal and frequent contacts, respectively. The differences between the subgroups were statistically significant (?2 = 37.89 to 809.90, all P < 0.05). The sensitivity analysis suggested stable results and the Egger's test for publication bias was not statistically significant (t=0.93, P=0.376). Conclusion Close contacts of novel coronavirus-infected individuals in the Chinese region have a positive rate for SARS-CoV-2 nucleic acid.

The epidemiological features of respiratory tract infection using the multiplex panels detection during COVID-19 pandemic in Shandong province, China (preprint)

High attention has been paid to the etiological tracing of respiratory tract infection (RTI) since the advent of COVID-19. In this study, we aimed to evaluate the epidemiological features of pathogens in RTI, especially during COVID-19 pandemic. In total, 7668 patients with RTI were included from Qilu Hospital of Shandong University between March 2019 and December 2021. The respiratory tract specimens were detected using a commercial multiplex PCR-based panel assay for 13 common respiratory pathogens. Compared with 2019, the positive rate of pathogen detection from January 2020 to December 2021 was significantly lower, especially the detection of Flu-A. The positive rate of respiratory pathogen strains was 40.18% during COVID-19 pandemic, and a total of 297 cases (4.69%) of mixed infection with two or more pathogens were detected. The positive rates of infection were different among different age groups, with higher incidence of RSV in infancy and toddler group, MP infection in children and teenager group, and HRV infection in adult patients. Moreover, Flu-A and Flu-B were higher in winter, and MP and RSV were higher in spring, autumn and winter. The pathogens such as ADV, BOCA, PIV, and COV were detected without significant seasonal distribution. In conclusions, pathogens of RTI may vary by age and season, regardless of gender. During the COVID-19 epidemic, blocking transmission routes could help reduce the incidence of RTI. The current prevalence of pathogens is of great significance for clinical prevention, diagnosis and treatment of RTI.

Back Cover: Detection, prevention and treatment of COVID-19 and opportunities for nanobiotechnology (View 4/2022)

In article number 20200181, Chuanbin Mao, Mingying Yang and their co-wokers have demonstrated that nanobiotechnology holds promise for combating COVID-19. It provides nanoscale probes to detect COVID-19, nanoscale vaccines to prevent COVID-19, and nanoscale therapeutics to treat COVID-19. Because nanoparticles are comparable to the virus particles that cause COVID-19, the nanoparticles can be engineered to detect, prevent or treat COVID-19 in a more efficient manner than the other agents.

Delayed Diagnosis and Treatment of Cancer Patients During the COVID-19 Pandemic in Henan, China: An Interrupted Time Series Analysis

Objective To investigate the possible impact of lockdown policies on the diagnosis and treatment of cancer patients in Henan, China. Design, Setting, and Participants We collected data from the Henan Cancer Hospital, affiliated with Zhengzhou University. The monthly numbers of inpatient admissions from January 2014 to December 2019 were used to forecast the number of inpatient admissions in 2020, which was then compared to the actual number of patients admitted during the pandemic to evaluate how the actual number diverges from this forecast. We conducted an interrupted time series analysis using the autoregressive integrated moving average (ARIMA) model. Main Outcomes and Measures For specific diagnoses, treatment modalities, and age groups, we compared the changes in monthly admissions after the pandemic with the forecasted changes from the model. Results The observed overall monthly number of inpatient admissions decreased by 20.2% [95% confidence interval (CI), 11.7–27.2%], 78.9% (95% CI, 77.3–80.4%), and 40.9% (95% CI, 35.6–45.5%) in January, February, and March 2020, respectively, as compared with those predicted using the ARIMA model. After the lockdown, visits for all treatment modalities decreased sharply. However, apparent compensation and recovery of the backlog appeared in later surgeries. As a result, the number of patients who underwent surgery in 2020 (30,478) was close to the number forecasted by the ARIMA model (30,185). In the same period, patients who received other treatments or underwent examinations were 106,074 and 36,968, respectively;the respective numbers that were forecasted by ARIMA were 127,775 and 60,025, respectively. These findings depict a decrease of 16.9 and 38.4% in patients who received other treatments or underwent examinations only, respectively. Regarding diagnosis, the reported incidence of various cancers decreased dramatically in February, with varying extent and speed of recovery. Conclusion and Relevance The COVID-19 pandemic has significantly delayed the diagnosis and treatment of cancer in Henan, China. Long-term research should be conducted to assess the future effects of lockdown policies.

Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan.

OBJECTIVE: To summarize the potential characteristics of convalescent patients with coronavirus disease 2019 (COVID-19) in China based on emerging clinical tongue data and guide the treatment and recovery of COVID-19 patients from the perspective of Traditional Chinese Medicine tongue diagnosis. METHODS: In this study, we developed and validated radiomics-based and lab-based methods as a novel approach to provide individualized pretreatment evaluation by analyzing different features to mine the orderliness behind tongue data of convalescent patients. In addition, this study analyzed the tongue features of convalescent patients from clinical tongue qualitative values, including thick and thin, fur, peeling, fat and lean, tooth marks and cracked, and greasy and putrid fur. RESULTS: We included 2164 tongue images in total (34% from day 0, 35.4% from day 14 and 30.6% from day 28) from convalescent patients. The significance results are shown as follows. Firstly, as the recovery time prolongs, the L average values of tongue and coat decrease from 60.21 to 57.18 and from 60.06 to 57.03 respectively. Secondly, the decrease of abnormality rate of tongue coat, included greasy tongue fur, putrid fur, teeth-mark, thick-thin fur, are of significant statistical difference ( < 0.05). Thirdly, the average value of gray-level co-occurrence matrices increases from 0.173 to 0.194, the average value of entropy increases from 0.606 to 0.665, the average value of inverse difference normalized decrease from 0.981 to 0.979, and the average value of dissimilarity decrease from 0.1576 to 0.1828. The details of other radiomics features are describe in results section. CONCLUSIONS: Our experiment shows that patients in different recovery periods have a relationship with quantitative values of tongue images, including L color space of the tongue and coat radiomics features analysis. This relationship can help clinical doctors master the recovery and health of patients as soon as possible and improve their understanding of the potential mechanisms underlying the dynamic changes and mechanisms underlying COVID-19.

2021 2nd International Conference on Artificial Intelligence, Computer Networks and Communications

2021 2ND International Conference on Artificial Intelligence, Computer Networks and Communications were successfully held online from 28th to 29th October 2021, Hefei, China. The conference was jointly organized and sponsored by Shaanxi Juxing Exhibition Co., Ltd and Juneng Electronic Technology Co., Ltd. Called by Dr. Tao Wang from School of Data Science and Computer, Sun Yat-Sen University and researcher Shuanghua Yang from the Engineering College, Southern University of Science and Technology, the conference invited scholars and experts in the fields of artificial intelligence, computer networks and communications from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields such as “artificial intelligence”, “computer networks” and “Communications”, and aims to provide an international cooperation and exchange platform for experts, scholars and business managers in the fields of artificial intelligence, computer networks and communications application to share their research achievements, discuss the key challenges and research directions of the development of this field, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of Proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the Special Committee.The conference was scheduled to be held on October 28-29, 2021 at The Westin Hefei Wanda Hotel, Hefei, Anhui, China. In view of travel restrictions and indoor activities related to COVID-19, we were forced to move the conference online. Attendees were notified one month in advance that the on-site conference was changed to an online conference, and the time and order of the conference were determined. The online conference was held on the video conferencing software Tencent Meeting. The video conference was held on the original date, but due to the large number of attendees, we extended the Meeting for 2 days. Due to the wide coverage of this conference and the large number of attendees, we divided the conference into main venue and sub-venue. The opening ceremony was held in the main venue and a speech was delivered by the invited speaker. After the main venue, we divided the invited 53 authors into 2 groups. Each author spoke for about 10-15 minutes on detailed material in the slides, with the same amount of time set aside for questions and discussion. The format of questioning and discussion was that after each author’s introduction, the conference chairman and committee members asked and answered questions. At least one attendee could ask questions that will be answered by the speaker. This conference has brought together many excellent works and the latest ideas and concepts. New ideas have been provided in the fields of information technology and mechanical engineering applications. For this, we have set up three awards, which were won by six authors. Due to the large number of attendees and the instability of the video conference software, we edited and retained part of the conference speech pictures and videos after the video conference. We put some screenshots of the conference on the official website for display.Although most attendees expressed regret that we had not been able to have the informal face-to-face discussions that usually take place between conferences, the virtual conferences had been surprisingly successful.The organizing and editorial committee of the AICNC 2021 hopes you enjoy the reading of this volume of the JPCS. Besides, we wish to thank all authors and participants for providing their valuable contributions for this proceeding as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. Likewise, we are confident that this issue will serve as a reference for experts, scholars and enterprise managers in the fields of the artificial intelligence, computer networks and communications.Organizing Committee, Scientifi Committee, Editorial Committee, Invited Speakers, China, Organizing Institutions are available in the pdf.

The Self-examination Physiological Health Level of Medical Staffs under Three-level Protection and Analysis

Abstract: Objective: To investigate the self-examination physiological health level of medical staffs under the tertiary protection, and analyze the physiological health problems and influencing factors of the medical staffs under the three-level protection. Methods: from March 19, 2020 to April 3, 2020, using snowball sampling method, a total of 103 anti epidemic medical staffs from two top three hospitals in Guangdong Province were invited to conduct a network questionnaire survey. Results: a total of 102 valid online questionnaires were analyzed. The results showed that the health status and organ function of medical staffs were 6.37％ ± 77, daily life function was 10. 19 ± 63 and 9. 97 respectively ± 22 points, all above the middle level;The analysis showed that the self-examination physiological health level was affected by the gender of medical staffs, whether drinking, health status and intuitive feelings under three-level protection. Conclusion: the self-examination physiological health of medical staffs under the three-level protection is in the upper middle level, so we should pay more attention to and support the physiological health of medical staffs under the three-level protection.

Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

The built environment is the global sector with the greatest energy use and greenhouse gas emissions. As a result, building energy savings can make a major contribution to tackling the current energy and climate change crises. Fluid dynamics models have long supported the understanding and optimization of building energy systems and have been responsible for many important technological breakthroughs. As Covid-19 is continuing to spread around the world, fluid dynamics models are proving to be more essential than ever for exploring airborne transmission of the coronavirus indoors in order to develop energy-efficient and healthy ventilation actions against Covid-19 risks. The purpose of this paper is to review the most important and influential fluid dynamics models that have contributed to improving building energy efficiency. A detailed, yet understandable description of each model’s background, physical setup, and equations is provided. The main ingredients, theoretical interpretations, assumptions, application ranges, and robustness of the models are discussed. Models are reviewed with comprehensive, although not exhaustive, publications in the literature. The review concludes by outlining open questions and future perspectives of simulation models in building energy research.

Screening of cell-virus, cell-cell, gene-gene interactions among kingdoms of life at single cell resolution (preprint)

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) issued a significant and urgent threat to global health. The exact animal origin of SARS-CoV-2 remains obscure and understanding its host range is vital for preventing interspecies transmission. Previously, we have assessed the target cell profiles of SARS-CoV-2 in pets, livestock, poultry and wild animals. Herein, we expand this investigation to a wider range of animal species and viruses to provide a comprehensive source for large-scale screening of potential virus hosts. Single cell atlas for several mammalian species (alpaca, hamster, hedgehog, chinchilla etc.), as well as comparative atlas for lung, brain and peripheral blood mononuclear cells (PBMC) for various lineages of animals were constructed, from which we systemically analyzed the virus entry factors for 113 viruses over 20 species from mammalians, birds, reptiles, amphibians and invertebrates. Conserved cellular connectomes and regulomes were also identified, revealing the fundamental cell-cell and gene-gene cross-talks between these species. Overall, our study could help identify the potential host range and tissue tropism of SARS-CoV-2 and a diverse set of viruses and reveal the host-virus co-evolution footprints.

Neutralizing activity of BBIBP-CorV vaccine-elicited sera against multiple SARS-CoV-2 variants of concern (preprint)

We assessed the safety and immunogenicity of an inactivated SARS-CoV-2 vaccine BBIBP-CorV, especially measured the resistance of four global variants of concern: Lineage B.1.1.7, Lineage B.1.351, Lineage P.1, and Lineage B.1.526 to neutralizing activity of vaccine-elicited sera. Among 1006 enrolled participants, no serious adverse event was reported within 28 days post-vaccination. Seroconversion of neutralizing antibodies was seen in 698 (91.84%) of 760 healthcare workers, and the geometric mean titres (GMTs) of neutralizing antibody titre was 62.68 (57.02–68.91) after the second immunization. We found that 57 (12.13%), 99 (20.97%), and 114 (24.26%) vaccine-elicited sera showed complete or partial loss of neutralizing activity against lineage B.1.1.7, lineage B.1.526, and lineage P.1, respectively, while 199 (42.34%) vaccine-elicited sera preserved neutralizing activity against lineage B.1.351, albeit at relatively low dilutions. These data indicated that humoral responses against SARS-CoV-2 could be effectively induced in vaccine recipients, although diminished neutralization potency against multiple variants was observed.

[Impact of the Timing of Traditional Chinese Medicine Therapy on the Therapeutic Effect and Prognosis of Severe Coronavirus Disease 2019].

Objective To explore the optimal therapy time for the treatment of severe coronavirus disease 2019(COVID-19)by traditional Chinese medicine(TCM)and its influence on the therapeutic effect and prognosis. Methods The clinical data,laboratory findings,and outcomes of 64 patients with severe COVID-19 treated with TCM and western medicine in Chongqing from January 20,2020, to March 11,2020 were retrospectively analyzed.Patients were divided into early intervention group[TCM was initiated within 3 days (including day 3) after the first diagnosis of severe type/critical type COVID-19]and late intervention group[TCM was initiated after 7 days (including day 7) after the first diagnosis of severe type /critical type COVID-19].The changes in clinical parameters during the course of disease were compared between the two groups. Results On day 14,the oxygenation index was 292.5(252.0,351.0)mmHg in the early intervention group,which was significantly higher than that in the late intervention group [246.0(170.0,292.5)mmHg](P=0.005).The length of hospital stay [(18.56±1.11)d vs.(24.87±1.64)d,P=0.001],duration of ICU stay [(14.12±0.91)d vs.(20.00±1.53)d,P=0.000] and time to negativity [(16.77±1.04)d vs.(22.48±1.66)d,P=0.001] in the early intervention group were significantly shorter than those in the late intervention group.The intubation rate(7.3%)in the early intervention group was significantly lower than that in the late intervention group(30.4%)(P=0.028). Conclusion Early TCM therapy within three days after a diagnosis of severe COVID-19 can shorten the length of hospital stay,duration of ICU stay,and time to negativity and decrease intubation rate.

VirusDIP: Virus Data Integration Platform (preprint)

Motivation The Coronavirus Disease 2019 (COVID-19) pandemic poses a huge threat to human public health. Viral sequence data plays an important role in the scientific prevention and control of epidemics. A comprehensive virus database will be vital useful for virus data retrieval and deep analysis. To promote sharing of virus data, several virus databases and related analyzing tools have been created. Results To facilitate virus research and promote the global sharing of virus data, we present here VirusDIP, a one-stop service platform for archive, integration, access, analysis of virus data. It accepts the submission of viral sequence data from all over the world and currently integrates data resources from the National GeneBank Database (CNGBdb), Global initiative on sharing all influenza data (GISAID), and National Center for Biotechnology Information (NCBI). Moreover, based on the comprehensive data resources, BLAST sequence alignment tool and multi-party security computing tools are deployed for multi-sequence alignment, phylogenetic tree building and global trusted sharing. VirusDIP is gradually establishing cooperation with more databases, and paving the way for the analysis of virus origin and evolution. All public data in VirusDIP are freely available for all researchers worldwide. Availability https://db.cngb.org/virus/ Contact weixiaofeng@cngb.org

The ORF8 Protein of SARS-CoV-2 Mediates Immune Evasion through Potently Downregulating MHC-I (preprint)

SARS-CoV-2 infection have caused global pandemic and claimed over 5,000,000 tolls1-4. Although the genetic sequences of their etiologic viruses are of high homology, the clinical and pathological characteristics of COVID-19 significantly differ from SARS5,6. Especially, it seems that SARS-CoV-2 undergoes vast replication in vivo without being effectively monitored by anti-viral immunity7. Here, we show that the viral protein encoded from open reading frame 8 (ORF8) of SARS-CoV-2, which shares the least homology with SARS-CoV among all the viral proteins, can directly interact with MHC-I molecules and significantly down-regulates their surface expression on various cell types. In contrast, ORF8a and ORF8b of SARS-CoV do not exert this function. In the ORF8-expressing cells, MHC-I molecules are selectively target for lysosomal degradation by an autophagy-dependent mechanism. As a result, CTLs inefficiently eliminate the ORF8-expressing cells. Our results demonstrate that ORF8 protein disrupts antigen presentation and reduces the recognition and the elimination of virus-infected cells by CTLs8. Therefore, we suggest that the inhibition of ORF8 function could be a strategy to improve the special immune surveillance and accelerate the eradication of SARS-CoV-2 in vivo.

Characteristics of peripheral blood leukocyte differential counts in patients with COVID-19 / 中华内科杂志

To investigate the early changes of peripheral blood leukocyte differential counts in patients with COVID-19. Ten patients with COVID-19 and 30 patients with other viral pneumonia (non-COVID-19) admitted to Shanghai Jiao Tong University Affiliated Sixth People’s Hospital and Jinshan Branch Hospital from January 22 to February 17, 2020 were enrolled in this study. The differential counts of white blood cells were analyzed. Patients in COVID-19 group showed relatively lower absolute white blood cell (WBC) count 4.95(3.90,6.03)×109/L, lymphocyte absolute count 1.20(0.98,1.50)×109/L and eosinophil absolute count 0.01(0.01,0.01)×109/L. Leukopenia developed in two patients(2/10), lymphocytopenia also in two patients(2/10). Seven over ten patients presented with eosinophil cytopenia. In non-COVID-19 group, absolute WBC count was 8.20 (6.78,9.03) ×109/L (P<0.001), lymphocyte absolute count 1.75(1.20,2.53)×109/L(P=0.036), eosinophil absolute count 0.02(0.01,0.03)×109/L(P=0.05). Lymphocytopenia occurred in (16.7%) patients, eosinophil cytopenia in 16.7% patients too. In conclusion, leukopenia, lymphocytopenia and eosinophil cytopenia are more common in COVID-19 patients than those in non- COVID-19 patients.

Early clinical manifestations and pulmonary imaging analysis of patients with Novel coronavirus pneumonia / 中华急诊医学杂志

Objective To investigate the early clinical characteristics and radiographic changes in confirmed Novel coronavirus pneumonia (NCP) and excluded NCP patients. Methods Twenty-four patients with suspected NCP admitted to Shanghai Jiao Tong University Affiliated Sixth People’s Hospital and Jinshan Branch Hospital between January and February, 2020 were chosen as our research subjects. Early clinical features and radiographic changes were analyzed in 10 patients of confirmed NCP and 14 patients of excluded NCP. Results In the early stage, all 24 suspected patients were mild, and had normal blood gas analysis. Of 10 diagnosed patients, 50% were male. All the 10 patients had fever and fatigue, with body temperature between 37.5℃ and 38.5℃. Only 1 patient had dry cough. 2 patients had no clear epidemiological exposure history, the other 8 had a clear epidemiological exposure, with a possible incubation period of 1-10 days. From CT imaging, lesions were characterized as ground glass shadow ( n =9), which could be unilateral ( n =1) or bilateral ( n =9), and were mainly close to the pleura ( n =9), with nodule shadow ( n =1) and without focal necrosis, and could combined with pleural effusion ( n =1. Among patients excluded NCP, all 14 patients had a clear history of epidemic exposure, with an onset time of 1 to 13 days. 12 patients had fever , including 4 with temperature > 38.5°C, 8 with temperature 37.3-38.5°C, and 2 without fever. All patients had fatigue , 7 patients had dry cough and 2 patients had chest pain. From CT imaging, ground glass shadow appeared in 4 patients , lesions were unilateral in 10 patients and bilateral in 4 patients , and the lesions were relatively sporadic, without necrosis or pleural effusion. Conclusion 1．Not all patients with NCP have a direct history of epidemiology exposure, some patients may be infected unknowingly. 2. According to CT imaging, NCP seems to have no special manifestations different from other viral pneumonia. 3. NCP is more common among middle-aged people.