Molecular characterization of Feline coronavirus in Shandong from 2017 to 2019, China (preprint)

Feline coronavirus (FCoV) is the causative agent of feline infectious peritonitis and diarrhoea in kittens worldwide. In this study, a total of 73 feline diarrhoeal faecal samples were collected from veterinary hospitals in ShanDong province from 2017 to 2019. FCoV was detected in 58.23% (46/79) of the samples using the RT-nPCR method. The results showed that the detection rate of FCoV in healthy cats and sick cats were 41.7% (10/24) and 81.6% (40/49), respectively. Full gene amplification and sequencing of N, M and S2 of positive FCoV isolates were performed. There was an amino acid mutation site (M1058L) in the S gene, which could be predicted to be used as a marker for Feline enteric coronavirus (FECV) and Feline infectious peritonitis virus (FIPV). These results enriched the epidemiological information of FCoV and provided an important reference for the prevention of FCoV in Shandong.

Research on user satisfaction of sports and healthcare integration system in post-pandemic era

After COVID-19, some initiatives such as Healthy China, and Smart Living have been widely mentioned. This study explored the factors influencing user satisfaction in sports and healthcare integration services to help system builders and interaction designers better seek opportunities and directions for systems construction. Based on grounded theory method, conducted semi-structured interviews with people who have home exercise needs, and then summarised the influencing factors after coding the raw information level by level. It applied the user experience honeycomb to classify potential variables, used principal component analysis (PCA) to extract representative evaluation indicators as observed variables, and followed the construction of a theoretical model of the satisfaction factors. The structural equation model (SEM) was validated and analyzed to prove its scientific validity and reasonableness. Research showed that the core factors affecting the user experience of sports and healthcare integration system include usefulness, interactivity, usability, credibility, and findability, all of which have a positive and significant impact on user satisfaction. According to the results of empirical analysis, A multidimensional design strategy for sports and healthcare integration system is proposed to provide a reference for improving user satisfaction. [ FROM AUTHOR] Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Who and which regions are at high risk of returning to poverty during the COVID-19 pandemic?

Pandemics such as COVID-19 and their induced lockdowns/travel restrictions have a significant impact on people’s lives, especially for lower-income groups who lack savings and rely heavily on mobility to fulfill their daily needs. Taking the COVID-19 pandemic as an example, this study analysed the risk of returning to poverty for low-income households in Hubei Province in China as a result of the COVID-19 lockdown. Employing a dataset including information on 78,931 government-identified poor households, three scenarios were analysed in an attempt to identify who is at high risk of returning to poverty, where they are located, and how the various risk factors influence their potential return to poverty. The results showed that the percentage of households at high risk of returning to poverty (falling below the poverty line) increased from 5.6% to 22% due to a 3-month lockdown. This vulnerable group tended to have a single source of income, shorter working hours, and more family members. Towns at high risk (more than 2% of households returning to poverty) doubled (from 27.3% to 46.9%) and were mainly located near railway stations;an average decrease of 10–50 km in the distance to the nearest railway station increased the risk from 1.8% to 9%. These findings, which were supported by the representativeness of the sample and a variety of robustness tests, provide new information for policymakers tasked with protecting vulnerable groups at high risk of returning to poverty and alleviating the significant socio-economic consequences of future pandemics.

Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography.

Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT. For model development and validation, 46,096 anonymous images from 106 admitted patients, including 51 patients of laboratory confirmed COVID-19 pneumonia and 55 control patients of other diseases in Renmin Hospital of Wuhan University were retrospectively collected. Twenty-seven prospective consecutive patients in Renmin Hospital of Wuhan University were collected to evaluate the efficiency of radiologists against 2019-CoV pneumonia with that of the model. An external test was conducted in Qianjiang Central Hospital to estimate the system's robustness. The model achieved a per-patient accuracy of 95.24% and a per-image accuracy of 98.85% in internal retrospective dataset. For 27 internal prospective patients, the system achieved a comparable performance to that of expert radiologist. In external dataset, it achieved an accuracy of 96%. With the assistance of the model, the reading time of radiologists was greatly decreased by 65%. The deep learning model showed a comparable performance with expert radiologist, and greatly improved the efficiency of radiologists in clinical practice.

Novel coronavirus pneumonia (COVID-19) after pulmonary surgery: A case report / 中国胸心血管外科临床杂志

@#There was a male novel coronavirus (2019-nCoV, SARS-CoV-2) pneumonia (COVID-19) patient after pulmonary surgery at age of 61 years. The patient had no clear history of contact COVID-19 patient before surgery. He developed transient fever on the 4th day after surgery. The body temperature returned to normal on the 5th day after antibiotic adjustment. The patient developed fever and fatigue again on the 6th day after surgery. A chest CT scan revealed postoperative pneumonia. The patient was treated by ganciclovir and moxifloxacin hydrochloride. The patient's temperature gradually decreased on the 7th to 9th days after the operation. CT scan on the 10th day after surgery showed viral pneumonia, so we immediately raised the level of protection. The novel coronavirus nucleic acid test was positive. The patient was immediately transferred to the designated hospital for treatment. The patient was treated by arbidol, moxifloxacin, human immunoglobulin (PH4), ambroxol and other nutritional symptomatic and supportive treatment. The patient's condition is currently stable. Ten people in close contact with the patient developed symptoms, and their CT scans showed viral pneumonia. Six of them were positive in nucleic acid tests, and the others were still under quarantine observation. This shows that it is easy to confuse the imaging manifestations of pneumonia with novel coronavirus pneumonia after lung surgery. We should perform nucleic acid detection as soon as possible in the early diagnosis of CT and reformulate the treatment protocol.

A case report with COVID-19 during perioperative period of lobectomy.

RATIONALE: Currently, COVID-19 has made a significant impact on many countries in the world. However, there have been no reported cases of pulmonary lobectomy with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) infection. We are the first to report such a case. PATIENT CONCERNS: We report a 63-year-old Wuhan male patient with smoking history of 40 cigarettes per day for 40 years. He sought medical consultation for right lower lung nodules found by CT scan. DIAGNOSES AND INTERVENTIONS: The patient's postoperative pathological diagnosis was squamous cell carcinoma of the right lower lung. On the fourth day after the operation, the real-time reverse transcription polymerase chain reaction test showed a positive result. After the operation, we routinely give symptomatic treatments such as anti-infection, nebulization and oxygen inhalation. We also change antibiotics several times depending on the patient's condition. OUTCOMES: The patient's condition continued to deteriorate. On the fifth day after surgery, the patient died despite medical treatment. LESSONS: We are the first to report the diagnosis and treatment process of patients with COVID-19 during perioperative period of lobectomy. It provides a case for the postoperative management of such patients.

Computed tomography manifestations in super early stage 2019 novel coronavirus pneumonia.

BACKGROUND: The recent outbreak of pneumonia cases in Wuhan, PR China, was caused by a novel beta coronavirus, the 2019 novel coronavirus (COVID-19). PURPOSE: To summarize chest computed tomography (CT) manifestations of the early stage of COVID-19 infection and provide a piece of reliable imaging evidence for initial screening and diagnosis. MATERIAL AND METHODS: From 10 January 2020 to 10 February 2020, we continuously observed chest CT imaging of 14 patients with clinically suspected new coronavirus infection in the two weeks after onset of symptoms. Ground-glass opacity (GGO), consolidation, reticular pattern, and ground-glass mimic nodules in each patient's chest CT image were recorded. RESULTS: We enrolled 14 patients, of which nine patients had the infection confirmed by reverse transcription polymerase chain reaction (RT-PCR). Five patients were highly suspected of infection. All cases had epidemiological evidence. GGO was a dominant imaging manifestation in the initial days of infection. GGO performance accounts for 40% in 1- 2 days, 90% in 3- 6 days, and 85% in 7- 10 days. With disease progression, consolidation appeared on follow-up CT. Consolidation performance accounts for 0% in 1- 2 days, 40% in 3- 6 days, and 71% in 7- 10 days. The lesions are mostly near the pleura. The number of lesions and the extent of the lesions increased as the disease progressed. CONCLUSION: Patients with novel coronavirus pneumonia have characteristic CT features in the initial stage of infection, which can be used as an essential supplement for nucleic acid examination.