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1.
Engineering, Construction and Architectural Management ; 2022.
Article in English | Scopus | ID: covidwho-1891305

ABSTRACT

Purpose: This study aims to focus on the sustainability of prefabricated medical emergency buildings (PMEBs) renovation after the epidemic, to address the problem that large numbers of PMEBs may be abandoned for losing their original architectural functions. This study develops an evaluation system to identify and measure sustainable factors for PMEBs’ renovation schemes. Qualitative and quantitative analysis of PMEBs’ renovation scheme was conducted based on cloud model evaluation method and selected the renovation scheme in line with sustainable development. The study promotes evaluation methods and decision-making basis for the renovation design of global PMEBs and realizes the use-value of building functions again. Design/methodology/approach: By referring to the existing literature, design standards and expert visiting a set of evaluation index systems which combines the renovation of the PMEBs and the sustainability concept has been established, which calculates the balanced optimal comprehensive weight of each indicator utilizing combination weighting method, and quantifies the qualitative language of different PMEBs’ renovation schemes by experts through characteristics of the cloud model. This paper takes Huoshenshan hospital a representative PMEB during the epidemic period as an example, to verify the feasibility of the cloud model evaluation method. Findings: The research results of this paper are that in the PMEBs’ renovation scheme structural reformative (T11) and corresponding nature with the original building (T13) have the most important influence;the continuity of architectural cultural value (T22) and regional development coherence (T23) are the key factors affecting the social dimension;the profitability of renovated buildings (T34) is the key factor affecting the economic dimension;the environmental impact (T41), resource utilization (T42) and ecological technology (T43) are the key factors in the environmental dimension. Originality/value: This study contributes to the existing body of knowledge by supplementing a set of scientific evaluation methods to make up for the sustainability measurement of PMEBs’ renovation scheme. The main objective was to make renovated PMEBs meet the needs of urban sustainable development, retain the original cultural value of the buildings, meanwhile enhance their social and economic value and realize the renovation with the least impact on the environment. © 2022, Emerald Publishing Limited.

2.
Annals of Behavioral Medicine ; 56(SUPP 1):S397-S397, 2022.
Article in English | Web of Science | ID: covidwho-1848428
3.
7th International Conference on Communication and Information Processing, ICCIP 2021 ; : 96-102, 2021.
Article in English | Scopus | ID: covidwho-1784903

ABSTRACT

Chest X-ray has become a useful method in the detection of coronavirus disease-19 (COVID-19). Due to the extreme global COVID-19 crisis, using the computerized diagnosis method for COVID-19 classification upon CXR images could significantly decrease clinician workload. We explicitly addressed the issue of low CXR image resolution by using Super-Resolution Convolutional Neural Network (SRCNN) to effectively reconstruct high-resolution (HR) CXR images from low-resolution (LR) CXR correspondents. Then, the HRCXR images are fed into the modified capsule network to retrieve distinct features for the classification of COVID-19. We demonstrate the proposed model on a public dataset and achieve ACC of 97.3%, SEN of 97.8%, SPE of 96.9%, and AUC of 98.0%. This new conceptual framework is proposed to play a vital task in the issue facing COVID-19 and related ailments. © 2021 ACM.

4.
Osteoarthritis and Cartilage ; 30:S393-S394, 2022.
Article in English | EMBASE | ID: covidwho-1768340

ABSTRACT

Purpose: Greater access to smartphones and mobile app technology, coupled with the COVID-19 pandemic, has fueled a growing interest in mobile health apps. Patients with knee and/or hip osteoarthritis (OA) may benefit from mobile apps when seeking additional guidance and advice. Clinicians may leverage these apps for symptom monitoring, activity tracking, and exercise program delivery. Integrating mobile apps into patient care may empower self-management and enhance communication, therapeutic alliance, and treatment adherence. Mobile apps could also facilitate access to healthcare services and reduce costs. However, little is known about the quality of these apps. We aimed to synthesize and evaluate current available mobile apps for adults with knee/hip OA. Methods: We searched Apple App Store, Android Google Play, and Amazon App Store for mobile health apps targeting management of knee/hip OA. Inclusion criteria for appraisal: available in English;containing search terms of “knee”, “knee OA”, “hip”, “hip OA”, “osteoarthritis”, “arthritis”, “physical therapy”, “rehabilitation”, and/or “rehab” in the app description;targeting knee and/or hip OA;and free to download. Exclusion criteria for appraisal: apps specific for rheumatoid arthritis;unavailable for download;could not be opened due to incompatibility;requiring subscription, passwords, institutional accounts, download fees, or additional accessories (e.g. motion sensor) for usage. The search was terminated for each search term when the last 10 apps on a platform did not meet the inclusion criteria, consistent with the methodology used in prior research. Paired reviewers rated apps using the adapted Mobile App Rating Scale (MARS) (score range 0-132, higher is better) that appraises apps by technical aspects, engagement, functionality, aesthetics, information, quality, and relevant information to the subject matter. Disagreements were resolved by discussion between 2 reviewers. Apps that scored ≥3/5 on overall app quality or totaled ≥80/132 were included in the final descriptive summary. Results: Among 797 identified apps, 41 met inclusion/exclusion criteria for MARS appraisal. As shown in Figure 1, 17 apps met the pre-determined score thresholds for final summary. Their key characteristics are summarized in Table 1. The median MARS score was 86 (interquartile range = 23 and ranged from 63 to 115). App features varied. Common app features were exercise recommendations, education, goal setting, and improving well-being. Many apps allowed for social media sharing and included measures to protect privacy. 11 apps demonstrated low to moderate credibility. Jointfully Osteoarthritis (Apple), My Arthritis (Apple), and Jointfully Osteoarthritis (Android) were the top three rated apps. They also were the only apps receiving an overall 5/5 quality rating. Conclusions: While many no-cost apps targeting knee/hip OA management exist, only three were rated highly. Features varied widely in our sample. Future research is needed to identify optimal app designs and functions for self-management strategies tailored to patients with knee/hip OA. Evaluating whether incorporating mobile apps in patient care improves outcome, treatment adherence, and patient satisfaction will help guide clinical practice recommendations. [Formula presented] [Formula presented]

5.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-327005

ABSTRACT

Highly transmissible SARS-CoV-2 Omicron variant has posted a new crisis for COVID-19 pandemic control. Within a month, Omicron is dominating over Delta variant in several countries probably due to immune evasion. It remains unclear whether vaccine-induced memory responses can be recalled by Omicron infection. Here, we investigated host immune responses in the first vaccine-breakthrough case of Omicron infection in Hong Kong. We found that the breakthrough infection rapidly recruited potent cross-reactive broad neutralizing antibodies (bNAbs) against current VOCs, including Alpha, Beta, Gamma, Delta and Omicron, from unmeasurable IC50 values to mean 1:2929 at around 9-12 days, which were higher than the mean peak IC50 values of BioNTech-vaccinees. Cross-reactive spike- and nucleocapsid-specific CD4 and CD8 T cell responses were detected. Similar results were also obtained in the second vaccine-breakthrough case of Omicron infection. Our preliminary findings may have timely implications to booster vaccine optimization and preventive strategies of pandemic control.

6.
34th British Human Computer Interaction Conference Interaction Conference, BCS HCI 2021 ; : 329-342, 2021.
Article in English | Scopus | ID: covidwho-1687538

ABSTRACT

With the flourish of collaborative and social technologies in the market since the pandemic, there is limited understanding of user's attitudes towards these technologies. We aim to understand teleworkers' perceptions of technology use during the pandemic and interviewed 46 teleworkers. We found that teleworkers generally hold a positive attitude towards social technologies and are creative to use these technologies to meet their social needs;they express overall negative feelings about remote collaboration technologies, though online communication flattens the communication hierarchy in the organization. The pandemic amplifies the extant challenges and highlights the shortcomings of technological design in well-established teleworking research and remote collaboration work. We suggest that future design should 1) combine and commercialize solutions that are well-grounded in prior work;2) consider scenarios that are typically missed and can be easily replaced with collocated interaction from the pre-pandemic context into the forced teleworking context. © Cai et al. Published by BCS Learning and Development Ltd.

7.
ChemistrySelect ; 6(48):14027-14038, 2021.
Article in English | Scopus | ID: covidwho-1599370

ABSTRACT

Picroside II, an iridoid glycoside, has anti-cancer, anti-virus, anti-apoptotic, nervous and myocardial protection effects and so on. However, the oral bioavailability of Picroside II is low, and the half-life in vivo is short, so it is limited to use in clinic. Triazole is a highly stable heterocyclic ring, which can be interacted with various enzymes or receptors in the organism through non-covalent interactions, and many of its good pharmacological activities in vitro and in vivo have been reported. Based on the advantages of triazole and Picroside II, a series of triazole-modified Picroside II derivatives (5 a–5 i) were synthesized by using drug combination principles for the first time. The structures were confirmed by different spectroscopic techniques including 1H NMR, 13C NMR and HRMS, and the primary biological evaluation of anti-breast cancer, anti-colorectal cancer, the effect on SARS-CoV-2 3CLpro inhibitor, and CD47-SIRPα protein were screened as well. Compound 5 e has anti-breast cancer activity, and compounds 3 and 5 i have anti-colorectal cancer activity. © 2021 Wiley-VCH GmbH

8.
4th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2021 ; : 146-151, 2021.
Article in English | Scopus | ID: covidwho-1501328

ABSTRACT

The coronavirus disease of 2019 (COVID-19) pandemic has caused a global public health epidemic since there is no 100% vaccine to cure or prevent the further spread of the virus. With the ever-increasing number of new infections, creating automated methods for COVID-19 identification of Chest X-ray images is critical to aiding clinical diagnosis and reducing the time-consumption for image interpretation. This paper proposes a novel joint framework for accurate COVID-19 identification by integrating an enhanced super-resolution generative adversarial network with a noise reduction filter bank of wavelet transform convolutional neural network on both Chest X-ray and Chest Tomography images for COVID-19 identification. The super-resolution utilized in this study is to enhance the image quality while the wavelet transform Convolutional Neural Network architecture is used to accurately identify COVID-19. Our proposed architecture is very robust to noise and vanishing gradient problem. We used public domain datasets of Chest x-ray images and Chest Tomography to train and check the performance of our COVID-19 identification task. This experiment shows that our system is consistently efficient by accuracy of 0.988, sensitivity of 0.994, and specificity of 0.987, AUC of 0.99, F1-score of 0.982 and 0.989 for precision using the Chest X-ray dataset while for Chest Tomography dataset, an accuracy of 0.978, sensitivity of 0.981, and specificity of 0.979, AUC of 0.985, F1-score of 0.961 and precision of 0.980. These performances have also outweighed other established state-of-the-art learning methods. © 2021 IEEE.

9.
Engineering, Construction and Architectural Management ; 2021.
Article in English | Scopus | ID: covidwho-1480029

ABSTRACT

Purpose: Although prefabricated construction (PC) technology has attracted considerable attention worldwide because of its significant role in the global fight against COVID-19, market-driven adoption is still limited. The mechanisms for PC technology adoption have yet to be defined, which inhibits its diffusion in the construction market. This study aims to reveal the intrinsic motivation and action mechanism for PC technology adoption. Design/methodology/approach: Drawing on the technology acceptance model (TAM), the study integrates characteristics from the diffusion of innovation theory to propose a multifaceted model for explaining practitioners’ PC technology adoption behavior from technology, organization and environment contexts. The proposed theoretical model was empirically examined via a survey of 234 professionals in mainland China using the partial least squares-structural equation modeling technique. Findings: The outcomes indicated that relative advantage, corporate social responsibility and market demand are significantly positively related to practitioners’ perceived usefulness from PC technology. Regulatory support and trading partner support have noticeable positive effects on practitioners’ perceived ease of use from PC technology. Perceived ease of use is found to positively influence perceived usefulness, and both of them have a positive influence on the attitude toward adopting PC technology. Attitude is further confirmed as an important predictor of adoption intention, which would lead to actual PC technology adoption behavior. Originality/value: To the best of the authors’ knowledge, this paper is the first attempt to explore industry perceptions toward PC technology adoption, providing valuable guidance for the effective diffusion of PC technology and laying a reliable foundation for research on other construction innovation adoption in post-COVID-19. © 2021, Emerald Publishing Limited.

11.
Fudan University Journal of Medical Sciences ; 48(5):603-610, 2021.
Article in Chinese | Scopus | ID: covidwho-1471036

ABSTRACT

Objective: To evaluate the impact of COVID-19 epidemic on anxiety status of active psychological counselors in Shanghai, China. Methods: We collected the demographic information of participants, cognition and attention to COVID-19, attitude towards the disappearance of COVID-19 and answers to the State-Trait Anxiety Inventory (STAI) on the Shanghai online psychological counseling platform from Feb 4th, 2020 to Mar 11st, 2020.Multiple Logistic regression was used to analyze the associations between COVID-19 epidemic and State-anxiety and Trait-anxiety. Results: Of 704 participants with an average age of 33.24 years (ranging from 18 to 73 years), the mean State-scores and Trait-scores were 44.49±6.31 and 46.19±5.22, respectively.In multivariate Logistic regression analysis, after gender stratification and adjustment of related variables, we found that for males, engaging in relevant prevention and control work was associated with a lower risk for medium or high State-anxiety (OR=0.28, 95%CI:0.09-0.89), and holding a intensively positive attitude was associated with a lower risk for medium or high Trait-anxiety (OR=0.25, 95%CI:0.07-0.87);while for females, those with medical background had a lower risk for State-anxiety (OR=0.17, 95%CI:0.03-0.92), and those paying moderate attention to epidemic had a lower risk for Trait-anxiety (OR=0.22, 95%CI:0.07-0.69). Conclusion: COVID-19 epidemic had different effects on the anxiety status of psychological counselors with different characteristics.Psychological counselors who have poor cognition of the epidemic, excessive attention to the epidemic, low hope for the disappearance of the epidemic, and non-disease prevention and control profession are more susceptible to greater anxiety, which are the key objects of protection in the event of public health emergencies. © 2021, Editorial Department of Fudan University Journal of Medical Sciences. All right reserved.

12.
2021 International Symposium on Educational Technology, ISET 2021 ; : 84-88, 2021.
Article in English | Scopus | ID: covidwho-1470343

ABSTRACT

The spread of the COVID-19 pushed K-12 schools to swift their traditional face-to-face in-person classes to online classes. This study examined middle school students' perception of usefulness in online classes, as well as the relationship between perceived usefulness and its key influencing factors. A questionnaire survey was conducted on 350 7th-9th grade students in China who had synchronous online classes during the outbreak of COVID-19. Results showed that students' overall perception of the usefulness of the online class was positive, comparing to the traditional face-to-face class. The relationships of students' perceived social presence, sense of community, and ease of use on their perceived usefulness of the online class were tested by multiple regression. The results indicated that students' perceived social presence and ease of use online learning system were two significant predictors of their perceived usefulness of the online classes. The findings of this study suggest that online learning can be further integrated into the K-12 curriculum and activities after the COVID-19 pandemic to make the K-12 school system more flexible, resilient, and enriching. © 2021 IEEE.

13.
14th International Conference on Blended Learning, ICBL 2021 ; 12830 LNCS:214-225, 2021.
Article in English | Scopus | ID: covidwho-1391734

ABSTRACT

Blended learning became unprecedentedly widespread due to the pandemic of COVID-19, especially in higher education. As a result, a lot of college students were beginners with this new technology-based learning method. The purpose of this study was to find out the key factors that impact beginners’ continuance intention in blended learning. The structural equation modeling was used to verify a model that integrates intrinsic goal orientation and academic self-efficacy into the Expectation-Confirmation Model of IS Continuance. A total of 342 college students who were the first time experiencing blended learning responded to the survey as beginners. The results showed that performance expectancy, intrinsic goal orientation, and satisfaction significantly impacted beginners’ continuance intention in blended learning. Meanwhile, performance expectancy, intrinsic goal orientation, and confirmation significant impacts on their continuance learning intention through mediating variable satisfaction. Academic self-efficacy didn’t directly impact college students’ continuance learning intention significantly, but it can indirectly impact continuance intention through intrinsic goal orientation. In the end, this study put forward several guidelines for educators of improving beginners’ blended learning experience to increase their continuance intention. © 2021, Springer Nature Switzerland AG.

14.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 41(8):2959-2965, 2021.
Article in Chinese | Scopus | ID: covidwho-1380132

ABSTRACT

The COVID-19 led to a stringent lockdown in most cities in China to effectively prevent the spread of the epidemic, resulting in reductions in air pollutant emissions. A high-resolution data assimilation experiment was carried out to invetigate the pollution emissions changes before and during the COVID-19 lockdown by adjusting the chemical initial conditions and the pollutant emissions simultaneously through the use of the online regional chemical transport model, WRF-Chem and an ensemble square-root system. Numerical results showed that PM2.5 emissions and NO emissions in February fell by about 4.4% and 30% respectively, compared to the emissions before the COVID-19 lockdown in Jan 2020. This work show that data assimilation has the potential to inverse emission with high-resolution. © 2021, Science Press. All right reserved.

15.
WSEAS Transactions on Mathematics ; 20:300-311, 2021.
Article in English | Scopus | ID: covidwho-1296410

ABSTRACT

Prediction methods are important for many applications. In particular, an accurate prediction for the total number of cases for pandemics such as the Covid-19 pandemic could help medical preparedness by providing in time a sucient supply of testing kits, hospital beds and medical personnel. This paper experimentally compares the accuracy of ten prediction methods for the cumulative number of Covid- 19 pandemic cases. These ten methods include three types of neural networks and extrapola- tion methods based on best fit quadratic, best fit cubic and Lagrange interpolation, as well as an extrapolation method proposed by the second author. We also consider the Kriging and inverse distance weighting spatial interpolation methods. We also develop a novel spatiotemporal prediction method by combining temporal and spatial prediction methods. The experiments show that among these ten prediction methods, the spatiotemporal method has the smallest root mean square error and mean absolute error on Covid-19 cumulative data for counties in New York State between May and July, 2020. © This article is published under the terms of the Creative Commons Attribution License 4.0 https://creativecommons.org/licenses/by/4.0/deed.en_US

16.
Age and Ageing ; 50, 2021.
Article in English | ProQuest Central | ID: covidwho-1201018

ABSTRACT

Introduction Hospital and social care suffered major alterations during the SARS-CoV-2 pandemic in the UK. Older adults were disproportionally affected by routine care disruption. To our knowledge, no data has been published so far on the impact of service disruption on 30-day readmission. Methods We performed a retrospective observational study of all patients admitted to a single east London hospital with laboratory-confirmed or clinical diagnosis of COVID-19 between 16th March and 6th April 2020. Older patients were defined as aged 80 years and over. Readmission was captured within 30 days of discharge. Comparator defined as the same period in 2019. Descriptive statistics were used. Results Three hundred and ninety-three patients were included. The majority survived to discharge (69.7%). Positive laboratory testing was similar between older and younger patients (85.7% vs 84.7%, p = NS). Mortality was significantly higher for older patients on index presentation (60.2% vs 20.3%, p < 0.001). Length of stay was also significantly longer for these patients (median 9 vs 7 days, p = 0.00694). The readmission rate for the 274 individuals discharged after index admission was 11.3% (n = 31). Amongst older patients, readmission rate during the study period was slightly higher than the same period in 2019 (17.9% vs 14.8%, p = 0.36). The median time interval between discharge and re-attendance was 8 [1–29]days. All re-attending older patients were re-admitted, whereas 54.2% of younger patients were sent home directly from the emergency department. Only 1 of the 31 patients re-attended because of insufficient social care. Conclusions Our data shows that readmission rates in the older population of East London during the SARS-CoV-2 pandemic were largely similar to non-pandemic periods. During this period, readmission rates appear to have been driven by clinical rather than social imperatives. This suggests that adapted social care services performed well and should be reinforced for future surges.

17.
Chinese Journal of Clinical Infectious Diseases ; 13(3):161-166, 2020.
Article in Chinese | Scopus | ID: covidwho-1143646

ABSTRACT

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Methods: A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Results: The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (χ2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (χ2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (χ2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (χ2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion: There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification. Copyright © 2020 by the Chinese Medical Association.

18.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-8058

ABSTRACT

COVID-19 vaccination programs have been initiated in several countries to control SARS-CoV-2 transmission and return to a pre-pandemic lifestyle. However, understanding when non-pharmaceutical interventions (NPIs) can be lifted as vaccination builds up and how to update priority groups for vaccination in real-time remain key questions for policy makers. To address these questions, we built a data-driven model of SARS-CoV-2 transmission for China. We estimated that, to prevent local outbreaks to escalate to major widespread epidemics, stringent NPIs need to remain in place at least one year after the start of vaccination. Should NPIs be capable to keep the reproduction number (Rt) around 1.3, a vaccination program could reduce up to 99% of COVID-19 burden and bring Rt below the epidemic threshold in about 9 months. Maintaining strict NPIs throughout 2021 is of paramount importance to reduce COVID-19 burden while vaccines are distributed to the population, especially in large populations with little natural immunity.

19.
Zhonghua Gan Zang Bing Za Zhi ; 29(1): 41-45, 2021 Jan 20.
Article in Chinese | MEDLINE | ID: covidwho-1067798

ABSTRACT

Objective: To describe the clinical features of liver involvement in children and adolescent with 2019-nCoV infection. Methods: The clinical data of 77 hospitalized cases admitted to the Children's Hospital of Fudan University were collected from January 19 to November 28, 2020. The characteristics and risk factors of abnormal liver chemistries in children with laboratory-confirmed 2019-nCoV infection were analyzed. Results: Of the 77 cases, 44 were male (57.1%) and 33 were female (42.9%), with a median age of 10 years. 27(35.1%) were asymptomatic, 28(36.4%) had mild illness, 22(28.6%)had non-severe pneumonia. Hydroxychloroquine was used in 7 cases. Of the 75 children without underlying diseases, alanine aminotransferase was elevated in 1 case (1.5%, during hydroxychloroquine therapy), aspartate aminotransferase was elevated in 7 cases (10.3%), alkaline phosphatase was elevated in 7 cases (28%), and total bilirubin, direct bilirubin, albumin, international normalized ratio were in normal range. There was no statistical difference between the pneumonia group and the non-pneumonia group in term of liver chemistries (P > 0.05), same as between the elevated erythrocyte sedimentation rate group and the normal group. There was no aggravation of liver injury in the child with biliary atresia. The child with epilepsy showed no abnormal liver chemistries after infection. Conclusion: Children with 2019-nCoV infection had mild clinical symptoms with few cases of liver injury. The abnormal liver chemistries in children with COVID-19 infection may be related to the underlying disease and the use of antiviral drugs.


Subject(s)
COVID-19 , SARS-CoV-2 , Adolescent , Alanine Transaminase , Aspartate Aminotransferases , Child , Female , Humans , Liver , Male , Retrospective Studies
20.
Viruses ; 11(5):07, 2019.
Article in English | MEDLINE | ID: covidwho-1017186

ABSTRACT

While bats are increasingly recognized as a source of coronavirus epidemics, the diversity and emergence potential of bat coronaviruses remains to be fully understood. Among 1779 bat samples collected in China, diverse coronaviruses were detected in 32 samples from five different bat species by RT-PCR. Two novel alphacoronaviruses, Rhinolophus sinicus bat coronavirus HKU32 (Rs-BatCoV HKU32) and Tylonycteris robustula bat coronavirus HKU33 (Tr-BatCoV HKU33), were discovered from Chinese horseshoe bats in Hong Kong and greater bamboo bats in Guizhou Province, respectively. Genome analyses showed that Rs-BatCoV HKU32 is closely related to BatCoV HKU10 and related viruses from diverse bat families, whereas Tr-BatCoV HKU33 is closely related to BtNv-AlphaCoV and similar viruses exclusively from bats of Vespertilionidae family. The close relatedness of Rs-BatCoV HKU32 to BatCoV HKU10 which was also detected in Pomona roundleaf bats from the same country park suggests that these viruses may have the tendency of infecting genetically distant bat populations of close geographical proximity with subsequent genetic divergence. Moreover, the presence of SARSr-CoV ORF7a-like protein in Rs-BatCoV HKU32 suggests a common evolutionary origin of this accessory protein with SARS-CoV, also from Chinese horseshoe bats, an apparent reservoir for coronavirus epidemics. The emergence potential of Rs-BatCoV HKU32 should be explored.

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