Low Prevalence of SARS-CoV-2 Antibodies in Canine and Feline Serum Samples Collected during the COVID-19 Pandemic in Hong Kong and Korea.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people worldwide since its emergence in 2019. Knowing the potential capacity of the virus to adapt to other species, the serological surveillance of SARS-CoV-2 infection in susceptible animals is important. Hong Kong and Seoul are two of Asia's most densely populated urban cities, where companion animals often live in close contact with humans. Sera collected from 1040 cats and 855 dogs during the early phase of the pandemic in Hong Kong and Seoul were tested for SARS-CoV-2 antibodies using an ELISA that detects antibodies against the receptor binding domain of the viral spike protein. Positive sera were also tested for virus neutralizing antibodies using a surrogate virus neutralization (sVNT) and plaque reduction neutralization test (PRNT). Among feline sera, 4.51% and 2.54% of the samples from Korea and Hong Kong, respectively, tested ELISA positive. However, only 1.64% of the samples from Korea and 0.18% from Hong Kong tested positive by sVNT, while only 0.41% of samples from Korea tested positive by PRNT. Among canine samples, 4.94% and 6.46% from Korea and Hong Kong, respectively, tested positive by ELISA, while only 0.29% of sera from Korea were positive on sVNT and no canine sera tested positive by PRNT. These results confirm a low seroprevalence of SARS-CoV-2 exposure in companion animals in Korea and Hong Kong. The discordance between the RBD-ELISA and neutralization tests may indicate possible ELISA cross-reactivity with other coronaviruses, especially in canine sera.

Low Prevalence of SARS-CoV-2 Antibodies in Canine and Feline Serum Samples Collected during the Covid-19 Pandemic in Hong Kong and Korea (preprint)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people worldwide since its emergence in 2019. The current global pandemic was driven by human-to-human transmission. Knowing the zoonotic origin of the disease and the potential capacity of the virus to adapt to other species, it is important to understand the extent of natural SARS-CoV-2 infection of animals, in particular cats and dogs in households that are in direct contact with their owners. Hong Kong and Seoul are two of the most densely-populated urban cities in Asia, where companion animals often live in close contact with humans. In this study, we screened sera from 1,040 cats and 855 dogs during the early phase of the pandemic in Hong Kong and Seoul for SARS-CoV-2 antibodies by using an ELISA that detects antibodies against the receptor binding domain (RBD) of the viral spike protein. Sera testing positive on ELISA were also tested for the presence of neutralizing antibodies using a surrogate virus neutralization (sVNT) and plaque reduction neutralization test (PRNT). Among feline sera, 4.51% and 2.54% of samples from Korea and Hong Kong, respectively, tested ELISA positive. However only 1.64% of samples from Korea and 0.18% from Hong Kong tested positive by sVNT, while only 0.41% of samples from Korea tested positive by PRNT. Among canine samples, 4.94% and 6.46% from Korea and Hong Kong, respectively, tested positive by ELISA, while only 0.29% sera from Korea were positive on sVNT and no canine sera tested positive by PRNT. These results confirm a low seroprevalence of SARS-CoV-2 exposure in companion animals in Korea and Hong Kong. The discordance between RBD-ELISA and neutralization tests may indicate possible ELISA cross-reactivity with other coronaviruses, especially in canine sera.

Empirical study on improving international dry port competitiveness based on logistics supply chain integration: evidence from China

Purpose>The importance of international dry port integration in the supply chain has received a great deal of attention and been widely discussed in the literature. This study empirically examines the relationship among dry port logistics supply chain integration (DPLSCI), its operational performance (OP) and dry port competitiveness (DPC) in the context of China.Design/methodology/approach>The authors developed a structured questionnaire based on the supply chain integration (SCI) theory and resource-based view, and collected data from the dry port operation enterprises and their stakeholders in central and western China. A structural equation model (SEM) is used to test the research hypotheses.Findings>The results demonstrate that DPLSCI has a positive effect on logistics cost performance (LCP) and service quality performance (SQP), which further improves DPC. Meanwhile, OP (LCP and SQP) is a full mediator between DPLSCI and DPC.Practical implications>This paper provides guidelines for dry port operators and their stakeholders to integrate supply chain resources and develop the OP for improving the overall competitiveness of an international dry port. The government could also invest in physical infrastructure and system platform to strengthen the OP of a dry port and further enhance its competitiveness.Originality/value>The authors emphasise that the international dry port is a proactive and integrated system in providing a supply chain logistics service. This study fills up a research gap in the extant literature on theoretically proposing and empirically testing a new theoretical model. It also contributes to dry port stakeholders by providing useful guidelines to enhance OP and dry port competitiveness.

COVID-19 Surveiller: toward a robust and effective pandemic surveillance system basedon social media mining.

The outbreak of the novel coronavirus, COVID-19, has become one of the most severe pandemics in human history. In this paper, we propose to leverage social media users as social sensors to simultaneously predict the pandemic trends and suggest potential risk factors for public health experts to understand spread situations and recommend proper interventions. More precisely, we develop novel deep learning models to recognize important entities and their relations over time, thereby establishing dynamic heterogeneous graphs to describe the observations of social media users. A dynamic graph neural network model can then forecast the trends (e.g. newly diagnosed cases and death rates) and identify high-risk events from social media. Based on the proposed computational method, we also develop a web-based system for domain experts without any computer science background to easily interact with. We conduct extensive experiments on large-scale datasets of COVID-19 related tweets provided by Twitter, which show that our method can precisely predict the new cases and death rates. We also demonstrate the robustness of our web-based pandemic surveillance system and its ability to retrieve essential knowledge and derive accurate predictions across a variety of circumstances. Our system is also available at http://scaiweb.cs.ucla.edu/covidsurveiller/. This article is part of the theme issue 'Data science approachs to infectious disease surveillance'.

Fecal multi-omics analysis reveals diverse molecular alterations of gut ecosystem in COVID-19 patients.

Gut ecosystem has profound effects on host physiology and health. Gastrointestinal (GI) symptoms were frequently observed in patients with COVID-19. Compared with other organs, gut antiviral response can result in more complicated immune responses because of the interactions between the gut microbiota and host immunity. However, there are still large knowledge gaps in the impact of COVID-19 on gut molecular profiles and commensal microbiome, hindering our comprehensive understanding of the pathogenesis of SARS-CoV-2 and the treatment of COVID-19. We performed longitudinal stool multi-omics profiling to systemically investigate the molecular phenomics alterations of gut ecosystem in COVID-19. Gut proteomes of COVID-19 were characterized by disturbed immune, proteolysis and redox homeostasis. The expression and glycosylation of proteins involved in neutrophil degranulation and migration were suppressed, while those of proteases were upregulated. The variable domains of Ig heavy chains were downregulated and the overall glycosylation of IgA heavy chain constant regions, IgGFc-binding protein, and J chain were suppressed with glycan-specific variations. There was a reduction of beneficial gut bacteria and an enrichment of bacteria derived deleterious metabolites potentially associated with multiple types of diseases (such as ethyl glucuronide). The reduction of Ig heave chain variable domains may contribute to the increase of some Bacteroidetes species. Many bacteria ceramide lipids with a C17-sphingoid based were downregulated in COVID-19. In many cases, the gut phenome did not restore two months after symptom onset. Our study indicates widely disturbed gut molecular profiles which may play a role in the development of symptoms in COVID-19. Our findings also emphasis the need for ongoing investigation of the long-term gut molecular and microbial alterations during COVID-19 recovery process. Considering the gut ecosystem as a potential target could offer a valuable approach in managing the disease.

Managing COVID-19 in a Novel, Rapidly Deployable Community Isolation Quarantine Facility.

Singapore is one of the most densely populated small island-states in the world. During the coronavirus disease 2019 (COVID-19) pandemic, Singapore implemented large-scale institutional isolation units called Community Care Facilities (CCFs) to combat the outbreak in the community by housing low-risk COVID-19 patients from April to August 2020. The CCFs were created rapidly by converting existing public spaces and used a protocolized system, augmented by telemedicine to enable a low health care worker-patient ratio (98 health care workers for 3200 beds), to operate these unique facilities. In the first month, a total of 3758 patients were admitted to 4 halls, 4929 in-house medical consults occurred, 136 patients were transferred to a hospital, 1 patient died 2 weeks after discharge, and no health care workers became infected. This article shares the authors' experience in operating these massive-scale isolation facilities while prioritizing safety for all and ensuring holistic patient care in the face of a public health crisis and lean health care resources.

The impact of goggle-associated harms to health and working status of nurses during management of COVID-19 (preprint)

Background To investigate the impact of goggles on their health and clinical practice during management of patients with COVID-19. Methods 231 nurse practitioners were enrolled who worked in isolation region in designated hospitals to admit patients with COVID-19 in China. Demographic data, goggle-associated symptoms and underlying reasons, incidence of medical errors or exposures, the effects of fog in goggles on practice were all collected. Data were stratified and analyzed by age or working experience. Risk factors of goggle-associated medical errors were analyzed by multivariable logistical regression analysis. Findings Goggle-associated symptoms and foggy goggles widely presented in nurses. The most common symptoms were headache, skin pressure injury and dizziness. Headache, vomit and nausea were significantly fewer reported in nurses with longer working experience while rash occurred higher in this group. The underlying reasons included tightness of goggles, unsuitable design and uncomfortable materials. The working status of nurses with more working experience was less impacted by goggles. 11.3% nurses occurred medical exposures in clinical practice while 19.5% nurses made medical errors on patients. The risk factors for medical errors were time interval before adapting to goggle-associated discomforts, adjusting goggles and headache. Interpretation Goggle-associated symptoms and fog can highly impact the working status and contribute to medical errors during management of COVID-19. Increased the experience with working in PPE through adequate training and psychological education may benefit for relieving some symptoms and improving working status. Improvement of goggle design during productive process was strongly suggested to reduce incidence of discomforts and medical errors.