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Household food expenditure has shifted away from Food at Home (FAH) and towards Food Away from Home (FAFH). Prior to the COVID-19 pandemic, FAFH's share of food expenditure surpassed that of FAH, reaching 55% in 2019. Yet economic research on FAFH and the interaction of FAFH and FAH has been limited. Combining scanner data for meat sales in grocery stores with data for FAFH expenditure, we estimate a model of demand for at-home meat, incorporating FAFH expenditure as a demand shifter. We quantify substitution between FAFH expenditure and FAH meat and quantify the impact of the COVID-19 disruptions to the food service sector on retail prices of FAH meat. © 2023 The Authors. Applied Economic Perspectives and Policy published by Wiley Periodicals LLC on behalf of Agricultural & Applied Economics Association.
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The risk of indoor respiratory disease transmission can be significantly reduced through interventions that target the built environment. Several studies have successfully developed theoretical models to calculate the effects of built environment parameters on infection rates. However, current studies have mainly focused on calculating infection rate values and comparing pre- and post-optimization values, lacking a discussion of safe baseline values for infection rates with risk class classification. The purpose of this paper is to explore the design of interventions in the built environment to improve the ability of buildings to prevent virus transmission, with a university campus as an example. The study integrates the Wells-Riley model and basic reproduction number to identify teaching spaces with high infection risk on campus and proposes targeted intervention countermeasures based on the analysis of critical parameters. The results showed that teaching buildings with a grid layout pattern had a higher potential risk of infection under natural ventilation. By a diversity of building environment interventions designed, the internal airflow field of classrooms can be effectively organized, and the indoor virus concentration can be reduced. We can find that after optimizing the building mentioned above and environment intervention countermeasures, the maximum indoor virus infection probability can be reduced by 22.88%, and the basic reproduction number can be reduced by 25.98%, finally reaching a safe level of less than 1.0. In this paper, we support university campuses' respiratory disease prevention and control programs by constructing theoretical models and developing parametric platforms. © 2023 Elsevier Ltd
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Background: Regular distress screening of patients with cancer is mandated by cancer care guidelines, with 25-50% of patients with cancer experiencing some level of distress. The COVID-19 pandemic amplified symptoms of distress and shifted oncologic care delivery towards telemedicine. In light of challenges faced with implementation of such screening, especially during this pandemic, we sought to assess the feasibility of implementing patient-focused distress screening at a large academic cancer center and its associated network sites. Method(s): We designed a modified distress screening tool with reflexive suicidality and mental health screening consisting of 1) Wellness Reflection, a questionnaire that incorporates questions from Patient-Reported Outcomes Measurement Information System-Global Health (PROMIS-GH) to monitor patients' physical, mental, and social health and to assess patients' needs for extra support, and 2) modified Patient Health Questionnaire 2+9 (PHQ 2+9) tool to screen for depression and suicide risk. This tool was used to triage patients in need of further assessment by the clinical team, including consideration for referrals to cancer supportive services. The two-tiered distress screening tool was delivered to patients at Stanford Cancer Center and 5 affiliate sites for inperson clinic visits starting September 2019. The Wellness Reflection was launched starting June 2020 for video visits. Result(s): From October 1, 2019 to May 14, 2021, 147,165 questionnaires representing 46,341 patients were collected. The overall Wellness Reflection questionnaire response rate was 55%;the video visit questionnaire response rate was ~70%, higher than the in-person visit response rate of ~50%. About 6% of questionnaires analyzed showed a request for more support, most commonly emotional and physical/symptom support, and this was consistent during the COVID-19 pandemic. 18.6% of questionnaire responses screened positive for further assessment, and those that triggered reflexive suicidality screening had a 17% positive PHQ 2+9 rate. Following assessment, 13,631 referrals to cancer supportive services were generated. Conclusion(s): The adoption of commonly available patient-reported outcome tools, including PROMIS-GH and PHQ 2+9, as a large-scale distress screening method for both in-person and tele-health clinic visits during the COVID-19 pandemic is feasible at a large academic cancer center and network sites. The volumes of positive screens and referrals were lower than expected despite broader implementation of distress screening and amplified symptoms of distress due to the pandemic.
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The continuous emergence of SARS-coronavirus 2 (SARS-CoV-2) variants, especially the variants of concern (VOC), exacerbated the impact of the coronavirus disease 2019 (COVID-19) pandemic. As the key of viral entry into host cells, the spike (S) protein is the major target of therapeutic monoclonal antibodies (mAbs) and polyclonal antibodies elicited by infection or vaccination. However, the mutations of S protein in variants may change the infectivity and antigenicity of SARS-CoV-2, leading to the immune escape from those neutralizing antibodies. To characterize the mutations of S protein in newly emerging variants, the proteolytic property and binding affinity with receptor were assessed, and the vesicular stomatitis virus (VSV)-based pseudovirus system was used to assess the infectivity and immune escape. We found that some SARS-CoV-2 variants have changed significantly in viral infectivity; especially, B.1.617.2 is more likely to infect less susceptible cells than D614G, and the virus infection process can be completed in a shorter time. In addition, neutralizing mAbs and vaccinated sera partially or completely failed to inhibit host cell entry mediated by the S protein of certain SARS-CoV-2 variants. However, SARS-CoV-2 variant S protein-mediated viral infection can still be blocked by protease inhibitors and endocytosis inhibitors. This work provides a deeper understanding of the rise and evolution of SARS-CoV-2 variants and their immune evasion.
Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Monoclonal , Antibodies, Neutralizing , Humans , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/geneticsABSTRACT
[This corrects the article DOI: 10.3389/fcimb.2021.720357.].
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SARS-coronavirus 2 (SARS-CoV-2), pathogen of coronavirus disease 2019 (COVID-19), is constantly evolving to adapt to the host and evade antiviral immunity. The newly emerging variants N501Y.V1 (B.1.1.7) and N501Y.V2 (B.1.351), first reported in the United Kingdom and South Africa respectively, raised concerns due to the unusually rapid global spread. The mutations in spike (S) protein may contribute to the rapid spread of these variants. Here, with a vesicular stomatitis virus (VSV)-based pseudotype system, we demonstrated that the pseudovirus bearing N501Y.V2 S protein has higher infection efficiency than pseudovirus with wildtype (WT) and D614G S protein. Moreover, pseudovirus with N501Y.V1 or N501Y.V2 S protein has better thermal stability than WT and D614G, suggesting these mutations of variants may increase the stability of SARS-CoV-2 S protein and virion. However, the pseudovirus bearing N501Y.V1 or N501Y.V2 S protein has similar sensitivity to inhibitors of protease and endocytosis with WT and D614G. These findings could be of value in preventing the spread of virus and developing drugs for emerging SARS-CoV-2 variants.
Subject(s)
COVID-19 , SARS-CoV-2 , Spike Glycoprotein, Coronavirus , Humans , Mutation , Spike Glycoprotein, Coronavirus/geneticsABSTRACT
Considering the current growth of data in Educational Field, especially in recent times, due to the COVID-19 epidemic, the volume of online course data has increased exponentially. How to extract useful entities and relations from mass educational data has turn into an academic hotspot. In traditional models, entity recognition and relation extraction are considered as two separate subtasks, which may cause error propagation. Therefore, the development of a more effective and accurate entity and relation extraction model in Educational Field is being widely studied. Here, we propose an entity and relation joint extraction method based on deep learning in Educational Field. The proposed model (XMMC) includes XLNet, a pretrained language model for obtaining text word vectors, Mogifier BiGRU neural network for obtaining text context information, Multi-headed Attention for focusing document key information, and CRF for extracting text entities. The obtained entity context information and entity label are further passed to the sigmoid function, which can enhance the accuracy of the subsequent relation extraction and achieve the goal of joint processing. The proposed model performs better than the existing model in terms of accuracy rates (P), recall rates (R), and F1 values (F1 scores). © 2020 IEEE.
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Objective: To understand the epidemiological characteristics of imported COVID-19 cases in Guangzhou and provide scientific basis for the prevention and control of the disease. Methods: The data of imported COVID-19 in Guangzhou reported as of April 1, 2020 were collected from National Notifiable Disease Report System of China. The software Excel 2010 and SPSS 19.0 were applied for data cleaning and statistical analysis. Results: As of April 1, 2020, a total of 103 imported COVID-19 cases had been reported in Guangzhou, in which 92 were confirmed cases and 11 were asymptomatic infection cases. The number of the confirmed imported cases accounted for 11.4% (92/806) in of the total in China at the same time. The male to female ratio of the cases was 1.58â¶1 (63â¶40). The median age of the cases was 31 years (P(25)-P(75):22-40 years), range of age was 11-63 years. The main occupational distributions of the cases were business services (41/103, 39.8%) and students (36/103, 35.0%). The imported cases whose destinations were 19 provinces and municipalities rather than Guangdong after entering the country accounted for 43.7%. The main source countries of infections were the United Kingdom (27/103, 26.2%), the Philippines (13/103, 12.6%), the United States (13/103, 12.6%) and Nigeria (7/103, 6.8%). There were 34 inbound flights from which the imported COVID-19 cases were detected, in which 10 flights (10/34, 29.4%) were found to carry more than 3 cases, with an average voyage time of (11.14±0.53) hours. A total of 29 imported cases(28.2%) showed symptoms before entering the country, and 65 cases (63.1%) had been isolated before the onset of the disease. The mean free activity time of the isolated cases after the onset was (6.76±0.79) days. The average number of the imported cases' close contacts was 53. There were 13 clusters of COVID-19 caused by the imported cases, involving 36 cases (including 1 imported associated case). Conclusions: The sources of the imported COVID-19 cases in Guangzhou were widely distributed, and no cases had been found to be infected on the flights. In the early stage of the imported epidemic, there was high risk for the spread of the epidemic. Strengthened prevention and control of imported COVID-19 effectively reduced the of transmission risk of COVID-19 in communities.