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1.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927806

ABSTRACT

RATIONALE: Protein biomarkers including soluble receptor for advanced glycation end-products (sRAGE), angiopoietin-2 (Ang- 2), and surfactant protein-D (SP-D) have been studied for diagnosis or prognostication in acute respiratory distress syndrome (ARDS). However, prior studies of ARDS biomarkers often included heterogeneous populations, and rarely examined serial measurements. Our aim was to determine the association between serially measured sRAGE, Ang-2, and SP-D levels and ARDS development in patients with sepsis. METHODS: Adult patients admitted to the medical ICU at Grady Memorial Hospital within 72 hours of sepsis diagnosis were enrolled into this prospective observational cohort study within 48 hours of ICU admission. Patients who already had ARDS at the time of screening were excluded. After obtaining informed consent, serial plasma samples were collected on day 1, 2, and 3 of enrollment, and were analyzed for sRAGE, Ang-2, and SP-D levels using ELISA. The patients were followed for up to 28 days for relevant clinical characteristics and outcomes. The primary outcome was ARDS development according to the Berlin Definition. The secondary outcome was mortality. Pulmonary sepsis was defined as the primary infection being pneumonia (including COVID19) or aspiration pneumonia. The biomarker levels and their changes from day 1 to days 2/3 were compared between those who developed ARDS versus those who did not. RESULTS: Among 80 patients with sepsis enrolled between September 1, 2020 and June 22, 2021, 15 patients (18.8%) developed ARDS and 65 patients (81.3%) did not. ARDS patients had higher proportions of pulmonary sepsis (14/15 [93.3%] vs. 30/65 [46.2%], p=0.001) and COVID19 (7/15 [46.7%] vs. 7/65 [10.8%], p=0.003) compared to non-ARDS patients. ARDS patients had higher SP-D levels on days 1 and 2, and had a greater increase in sRAGE levels from day 1 to day 3, compared to non-ARDS patients (Figure 1A- 1B). Within the ARDS group, those who died had higher sRAGE levels on day 1 compared to those who survived (Figure 1C). CONCLUSIONS: In this analysis, ARDS patients had higher SP-D and a greater increase in sRAGE over time compared to non- ARDS patients. Non-survivors of ARDS also had higher sRAGE compared to survivors. Our findings suggest that early serial biomarker measurements may be useful for identifying sepsis patients at risk of developing ARDS and adverse clinical outcomes, and for risk stratifying sepsis patients in ARDS clinical trials focused on early therapeutics and prevention. Larger studies are needed for more detailed analyses and confirmation of these findings.

2.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925438

ABSTRACT

Objective: To describe changes in daily activity measured by wearable sensors in participants with Parkinson's disease (PD) following the COVID-19 pandemic. Background: Digital tools provide objective, frequent and sensitive data collection in real-world settings. In a natural history study of PD, participants used wearable sensors before and after COVID-19 shutdowns. Design/Methods: At research visits throughout this two-year study at the University of Rochester Medical Center, participants wore sensors with accelerometer and gyroscopic capabilities and completed questionnaires. Following each visit, participants wore sensors remotely for 7 days during waking hours. Participant position and activity from days 1-6 of wear was classified from sensor data. Results: Prior to March 14 2020, when COVID-19 shutdowns began in Monroe County, NY, 17 participants with PD (70.4 (6.3) years) and 13 controls (61.1 (13.5) years) completed a baseline visit. All 30 later completed a month 12 visit after COVID-19 shutdowns. Sensor wear was comparable at baseline (13.9 (1.4) hours/day) and month 12 (13.74 (2.1) hours/day). At month 12, PD participants walked an average of 1709 (1457) steps/day, approximately 17% less than at baseline (2048 (1416) steps/day), with considerable individual variation. PD participants spent approximately 20% more time lying while awake at month 12 (112.7 (149.9) min) than at baseline (93.6 (103.1) min). Daytime sleep did not increase from baseline (39.6 (39.3) min) to month 12 (39.2 (32.8) min). PD and control participants reported greater anxiety and depression at month 12. From baseline to month 12, controls had similar activity trends as participants with PD, but walked more, spent less time lying, had less daytime sleep, and reported less depression and anxiety at both time points. Conclusions: Following the emergence of COVID-19, participants with PD walked less and spent more time resting. These data provide an objective measure of the pandemic's impact on a small cohort of individuals with PD.

3.
Journal of Xi'an Jiaotong University (Medical Sciences) ; 43(3):468-475, 2022.
Article in Chinese | EMBASE | ID: covidwho-1918075

ABSTRACT

Objective: To explore the relationship of health literacy with COVID-19 prevention and control knowledge, attitude and practice (KAP) in general population so as to contribute scientific evidence for strengthening health education and promoting health literacy to resist the threat of major infectious disease outbreaks. Methods: In September 2020, a questionnaire survey was conducted in residents selected by a multi-stage random sampling across all the twelve counties/districts of Baoji city. The questionnaire, which was issued by the Chinese Health Education Center, consisted of a health literacy questionnaire and a COVID-19 prevention and control KAP questionnaire. According to the national unified scoring method, the participants were divided into two groups: those who met and those who failed to meet the overall standard of health literacy. The results of the answer to each KAP question were compared between the two groups by Chi-square test or rank sum test. Multivariate binary Logistic regression was used to control confounding effects of socio-demographic characteristics to draw relatively reliable conclusions. Results: A total of 4 544 valid questionnaires were collected, in which 664(14.60%)met the overall standard of health literacy, but 3 880(85. 40%)failed to do so. Compared with the unmet group, the met group had a higher correct answer rate in 10 of the 11 knowledge-related questions(all P<0.001);showed more positive answer to each attitude-related question in the three aspects, namely, responsibility for the prevention and control of infectious disease transmission, evaluation for COVID-19-related information release and reporting, and evaluation for the government's COVID-19 prevention and control results (all P<0.001);and acted more actively in 6 of the 7 practice concerning appropriate self-prevention and control behaviors during the COVID-19 outbreak(all P<0.001). Logistic regression analyses confirmed that achieving the overall standard of health literacy played a positive role in each of the contents of COVID-19 prevention and control KAP in study(ORs were between 1.44 and 4.09, all P<0.001). Moreover, the absolute value of regression coefficient of the overall standard of health literacy was the largest compared with all the socio-demographic factors. Logistic regression was used to further analyze relationships between each of the six health dimensions of health literacy and COVID -19 prevention and control KAP, which revealed that the association with safety and first aid, infectious diseases prevention, and health information was the closest. Conclusion: Health literacy is closely related to COVID-19 prevention and control KAP in the general population of Baoji city. Promoting residents' health literacy by targeted health education can play an important and positive role in dealing with the threat of major infectious diseases outbreaks.

6.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334805

ABSTRACT

Omicron sub-lineage BA.2 has rapidly surged globally, accounting for over 60% of recent SARS-CoV-2 infections. Newly acquired RBD mutations and high transmission advantage over BA.1 urge the investigation of BA.2's immune evasion capability. Here, we show that BA.2 causes strong neutralization resistance, comparable to BA.1, in vaccinated individuals' plasma. However, BA.2 displays more severe antibody evasion in BA.1 convalescents, and most prominently, in vaccinated SARS convalescents' plasma, suggesting a substantial antigenicity difference between BA.2 and BA.1. To specify, we determined the escaping mutation profiles1,2 of 714 SARS-CoV-2 RBD neutralizing antibodies, including 241 broad sarbecovirus neutralizing antibodies isolated from SARS convalescents, and measured their neutralization efficacy against BA.1, BA.1.1, BA.2. Importantly, BA.2 specifically induces large-scale escape of BA.1/BA.1.1effective broad sarbecovirus neutralizing antibodies via novel mutations T376A, D405N, and R408S. These sites were highly conserved across sarbecoviruses, suggesting that Omicron BA.2 arose from immune pressure selection instead of zoonotic spillover. Moreover, BA.2 reduces the efficacy of S309 (Sotrovimab)3,4 and broad sarbecovirus neutralizing antibodies targeting the similar epitope region, including BD55-5840. Structural comparisons of BD55-5840 in complexes with BA.1 and BA.2 spike suggest that BA.2 could hinder antibody binding through S371F-induced N343-glycan displacement. Intriguingly, the absence of G446S mutation in BA.2 enabled a proportion of 440-449 linear epitope targeting antibodies to retain neutralizing efficacy, including COV2-2130 (Cilgavimab)5. Together, we showed that BA.2 exhibits distinct antigenicity compared to BA.1 and provided a comprehensive profile of SARS-CoV-2 antibody escaping mutations. Our study offers critical insights into the humoral immune evading mechanism of current and future variants.

7.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(4): 478-482, 2022 Apr 10.
Article in Chinese | MEDLINE | ID: covidwho-1810384

ABSTRACT

Objective: To analyze the epidemiological characteristics of imported COVID-19 cases and the effect of vaccination on virus load and disease severity of the cases in Beijing. Methods: The data of the imported COVID-19 cases in Beijing were collected from the National Notifiable Infectious Disease Reporting System of China Information for Disease Control and Prevention and Epidemiology investigation. The data were processed and analyzed by Excel 2010 and SPSS 22.0. Results: From June 1 to September 30, 2021, a total of 171 imported COVID-19 cases were reported in Beijing, of which 66.67% (114/171) were asymptomatic. The cases were mainly from the Philippines, the United Arab Emirates, the United Kingdom and the Russian Federation, accounting for 67.84% (116/171). The male to female ratio of the cases was 2∶1 (114∶57). The median age M (Q1, Q3) of the cases was 28 (23, 36) years. The cases of Chinese accounted for 80.12% (137/171). The sequencing of the whole genome of the virus in 47 imported COVID-19 cases showed that the proportion of Delta variant was 76.60% (36/47). The COVID-19 vaccination coverage rate in the cases was 60.82% (104/171), but the full vaccination coverage rate was 53.80% (92/171). In the imported COVID-19 cases, 13.53% (23/170) were screened to be SARS-CoV-2 nucleic acid positive on the day when they arrived in Beijing, and all the cases were positive for 2019-nCoV nucleic acid within 28 days. The severity of the disease was higher in the unvaccinated group than in the partially vaccinated group and fully vaccinated group (P<0.001). In the unvaccinated group, there were 1 severe case and 1 critical case. The median Ct values M (Q1, Q3) of N gene and ORFlab gene in unvaccinated group were 32.51 (23.23, 36.06) and 32.78 (24.00, 36.38), respectively. There was no significant difference in the median of double-gene Ct value between the partially vaccinated group and the fully vaccinated group. Conclusions: During the study period, most of the imported COVID-19 cases in Beijing were asymptomatic. No matter vaccinated or not, the viral loads in the COVID-19 cases were similar, but the vaccination could reduce the severity of the disease.


Subject(s)
COVID-19 , Nucleic Acids , Beijing , COVID-19/epidemiology , COVID-19 Vaccines , Female , Humans , Male , SARS-CoV-2
8.
IEEE Internet of Things Journal ; 2022.
Article in English | Scopus | ID: covidwho-1788751

ABSTRACT

In order to control the first wave of COVID-19 pandemic in 2020, many models have shown effectiveness in predicting the spread of new coronary pneumonia and the different interventions. However, few models can collect large amounts of high-quality real-time data faster under the premise of protecting privacy, considering the impact of SARS-CoV-2(Severe Acute Respiratory Syndrome Coronavirus 2) variant and the mass vaccination program as a new intervention. Therefore, we developed a mobile intelligent application that can collect a large amount of real-time data while protecting privacy, and conducted a feasibility study by defining a new COVID-19 mathematical model SEMCVRD. By simulating different intervention measures, the prediction model of the mobile intelligent application used in the paper simulates the epidemic situation in the UK as an example. The findings are as below: the optimal intervention strategy is to suppress the intervention at P=3 (intervention intensity: the average number of contacts per person per day) before the end of March 2021, then gradually release the intervention intensity at a rate of P+2, and finally release the intensity to P=9 in June 2021. The COVID-19 pandemic will end at the end of June 2021, when the total number of deaths will reach 128,772. This strategy will be able to balance the trade-off between loss of life and economic loss. Compared with the official statistics released by the UK government on 31st May 2021, our model can accurately predict the relative error rate of the total number of cases is less than 6.9%, and the relative error rate of the total number of deaths is less than 1%. Furthermore, the model is also suitable for collecting data from countries/regions around the world. IEEE

9.
5th International Conference on Crowd Science and Engineering, ICCSE 2021 ; : 155-159, 2021.
Article in English | Scopus | ID: covidwho-1774998

ABSTRACT

The outbreak of Covid-19 has posed severe negative impact on household consumption. This paper investigates the boosting effect of online retailing on household consumption during the epidemic period. Based on the data of Anhui Province in China, this paper show that during the epidemic period, every 1% increase in the growth rate of online retail sales could increase the proportion of total retail sales of consumer goods above the quota in GDP by 4.27%. Therefore, we provide reliable empirical evidence of promoting consumer consumption through the development of online retail under the normalization of the epidemic situation. © 2021 ACM.

10.
2nd International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2021 ; : 86-90, 2021.
Article in English | Scopus | ID: covidwho-1774655

ABSTRACT

During the Corona Virus Disease 2019 (COVID-19) pandemic, many airports were semi-closed to prevent the virus from spreading, which greatly impacted the Chinese aviation network. The current approach to the analysis of the Chinese aviation network completely removes nodes to study node attacks on the Chinese aviation network. However, it is not practical to close the airport completely while ignoring other airlines' adjustments. This paper investigates the changes of Chinese aviation networks under the real node attack and provides useful information and practical suggestions on how to deal with the transmission of infectious diseases by airlines in the future. First, we collect the flight schedules for representative dates from VariFlight, delete useless information, split layover flights and count the number of flights in each airport. Next, we compute the properties of the Chinese aviation network under node attacks such as betweenness centrality and PageRank. Finally, the properties are compared with those of normal dates to investigate the changes of the Chinese aviation network under node attack. The results indicate that the Chinese aviation network is a small-world and scale-free network. Our analyses demonstrate that the decline of airlines in hub airports can influence the properties of network and adjacent airports. Meanwhile, the node attack on a hub airport with many substitutes failed to achieve the expected result. Therefore, traffic restriction should also be applied to the substitutes if there are many large cities around the infectious city. © 2021 IEEE.

11.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(3): 305-309, 2022 Mar 10.
Article in Chinese | MEDLINE | ID: covidwho-1765985

ABSTRACT

Objective: To investigate the epidemiological characteristics and the transmission chain of a family clustering of COVID-19 cases caused by severe acute respiratory 2019-nCoV Delta variant in Changping district of Beijing. Methods: Epidemiological investigation was conducted and big data were used to reveal the exposure history of the cases. Close contacts were screened according to the investigation results, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: On November 1, 2021, a total of 5 COVID-19 cases caused by 2019-nCoV Delta variant were reported in a family detected through active screening. The infection source was a person in the same designated isolation hotel where the first case of the family cluster was isolated from 22 to 27, October. The first case was possibly infected through aerosol particles in the ventilation duct system of the isolation hotel. After the isolation discharge on October 27, and the first case caused secondary infections of four family members while living together from October 27 to November 1, 2021. Conclusion: 2019-nCoV Delta variant is prone to cause family cluster, and close attention needs to be paid to virus transmission through ventilation duct system in isolation hotels.


Subject(s)
COVID-19 , Epidemics , Aerosols , Humans , SARS-CoV-2
12.
Reproductive Sciences ; 29(SUPPL 1):275-276, 2022.
Article in English | Web of Science | ID: covidwho-1749817
13.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-327041

ABSTRACT

The SARS-CoV-2 Omicron with increased fitness is spreading rapidly worldwide. Analysis of cryo-EM structures of the Spike (S) from Omicron reveals amino acid substitutions forging new interactions that stably maintain an “active” conformation for receptor recognition. The relatively more compact domain organization confers improved stability and enhances attachment but compromises the efficiency of viral fusion step. Alterations in local conformation, charge and hydrophobic microenvironments underpin the modulation of the epitopes such that they are not recognized by most NTD- and RBD-antibodies, facilitating viral immune escape. Apart from already existing mutations, we have identified three new immune escape sites: 1) Q493R, 2) G446S and 3) S371L/S373P/S375F that confers greater resistance to five of the six classes of RBD-antibodies. Structure of the Omicron S bound with human ACE2, together with analysis of sequence conservation in ACE2 binding region of 25 sarbecovirus members as well as heatmaps of the immunogenic sites and their corresponding mutational frequencies sheds light on conserved and structurally restrained regions that can be used for the development of broad-spectrum vaccines and therapeutics.

14.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326980

ABSTRACT

Omicron, the most heavily mutated SARS-CoV-2 variant so far, is highly resistant to neutralizing antibodies, raising unprecedented concerns about the effectiveness of antibody therapies and vaccines. We examined whether sera from individuals who received two or three doses of inactivated vaccine, could neutralize authentic Omicron. The seroconversion rates of neutralizing antibodies were 3.3% (2/60) and 95% (57/60) for 2- and 3-dose vaccinees, respectively. For three-dose recipients, the geometric mean neutralization antibody titer (GMT) of Omicron was 15, 16.5-fold lower than that of the ancestral virus (254). We isolated 323 human monoclonal antibodies derived from memory B cells in 3-dose vaccinees, half of which recognize the receptor binding domain (RBD) and show that a subset of them (24/163) neutralize all SARS-CoV-2 variants of concern (VOCs), including Omicron, potently. Therapeutic treatments with representative broadly neutralizing mAbs individually or antibody cocktails were highly protective against SARS-CoV-2 Beta infection in mice. Atomic structures of the Omicron S in complex with three types of all five VOC-reactive antibodies defined the binding and neutralizing determinants and revealed a key antibody escape site, G446S, that confers greater resistance to one major class of antibodies bound at the right shoulder of RBD through altering local conformation at the binding interface. Our results rationalize the use of 3-dose immunization regimens and suggest that the fundamental epitopes revealed by these broadly ultrapotent antibodies are a rational target for a universal sarbecovirus vaccine.

16.
Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020 ; : 4102-4107, 2020.
Article in English | Scopus | ID: covidwho-1507343

ABSTRACT

In times of crisis, identifying essential needs is crucial to providing appropriate resources and services to affected entities. Social media platforms such as Twitter contain a vast amount of information about the general public’s needs. However, the sparsity of information and the amount of noisy content present a challenge for practitioners to effectively identify relevant information on these platforms. This study proposes two novel methods for two needs detection tasks: 1) extracting a list of needed resources, such as masks and ventilators, and 2) detecting sentences that specify who-needs-what resources (e.g., we need testing). We evaluate our methods on a set of tweets about the COVID-19 crisis. For extracting a list of needs, we compare our results against two official lists of resources, achieving 0.64 precision. For detecting who-needs-what sentences, we compared our results against a set of 1,000 annotated tweets and achieved a 0.68 F1-score. © 2020 Association for Computational Linguistics

17.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(11): 1311-1315, 2021 Nov 06.
Article in Chinese | MEDLINE | ID: covidwho-1507056

ABSTRACT

Objective: To investigate the epidemiological characteristics and the chain of infection of a local outbreak, which was the first outbreak caused by severe acute respiratory syndrome corona virus 2 Alpha variant in China and occurred in Daxing district, Beijing. Methods: Epidemiological investigation and big data technology were used to verify the exposure points of the cases. Close contacts were traced from the exposure points, and their human and environmental samples were collected for nucleic acid tests. Serum samples were collected from key persons for antibody detection. Results: A total of 33 corona virus disease 2019(COVID-19) cases were reported in the local outbreak, from January 17, 2021 to January 29, 2021 in Daxing district, Beijing, and there was epidemiological association in 32 cases. Except for one case who was infected in the workplace, other cases were all infected in the community and family. All cases involved 14 families, of which 6 families were all infected. The attack rate of all family members was 69%(33/48), and the secondary attack rate was 56%(19/34). There was no obvious source of infection found after the investigation of entry-exit personnel and goods. Conclusion: The first outbreak caused by severe acute respiratory syndrome corona virus 2 Alpha variant in China is found and handled in time, and thus the scope of influence is limited, but the family clustering characteristics are more obvious than previous outbreaks.


Subject(s)
COVID-19 , SARS-CoV-2 , China/epidemiology , Disease Outbreaks , Humans
18.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(8): 1347-1352, 2021 Aug 10.
Article in Chinese | MEDLINE | ID: covidwho-1468521

ABSTRACT

Objective: To analyze the sensitivity and specificity of SARS-CoV-2 nucleic acid testing in 20 348 close contacts of COVID-19 cases in different prevention and control stages in Guangzhou and to provide scientific evidence for optimizing epidemic response strategies. Methods: A total of 20 348 close contacts of COVID-19 cases in Guangzhou were traced between February 21 and September 22,2020. All the close contacts were tested for the nucleic acid of SARS-CoV-2. The sensitivity and specificity of nucleic acid testing and diagnosis in the different prevention and control stages were compared. Results: In 20 348 close contacts, 12 462 were males (61.24%), the median (P25,P75) of age of them was 31.0 years (23.0,43.0), the median number (P25,P75) of nucleic acid testing for them was 2.0 (1.0,3.0), and the median (P25,P75) of their quarantine days was 12.0 (8.0,13.0) days, respectively. A total of 256 COVID-19 cases were confirmed in the close contacts after seven nucleic acid tests. In the 1st, 2nd, 3rd and 7th nucleic acid testing, the sensitivity and specificity were 69.14% and 99.99% (177 cases confirmed), 89.84% and 99.99% (230 cases confirmed), 97.27% and 99.99% (249 cases confirmed), and 100.00% and 99.98%, respectively. In the three stages of COVID-19 prevention and control in China: domestic case stage, imported case stage, and imported case associated local epidemic stage, the sensitivity of the 1st nucleic acid testing was 70.68%, 68.00% and 67.35%, and the specificity was 99.98%, 100.00% and 100.00%, respectively. Conclusions: The sensitivity of nucleic acid testing in the close contacts at the different stages were consistent with slight decrease, which might be related to the increased proportion of asymptomatic infections in the late stage of epidemic prevention and control with COVID-19 in Guangzhou. It is suggested to give three nucleic acid tests to improve the sensitivity and reduce false negative risk.


Subject(s)
COVID-19 , Nucleic Acids , Adult , Asymptomatic Infections , Humans , Male , SARS-CoV-2 , Sensitivity and Specificity
19.
Journal of AAPOS ; 25(4):e80, 2021.
Article in English | EMBASE | ID: covidwho-1415494

ABSTRACT

Purpose/Relevance: New technologies are rapidly emerging in all fields, especially in the COVID-19 era, including pediatric ophthalmology. These technologies are widely disseminated in diverse areas such as screening, diagnostics, treatment, device production, genetics, and artificial intelligence. Some provide low-cost, simple solutions to common problems, whereas others, are expensive and complex. The speakers will present several technologies, including retinal polarizing scanning for screening of amblyopia and traumatic brain injury, smart phone photo screening for amblyopia risk factors, artificial intelligence, optical coherence tomography angiography, handheld OCT, gene therapy, and eye tracking technology for diagnostics and treatment of amblyopia. Target Audience: Pediatric and comprehensive ophthalmologists, orthoptists, residents, and students. Current Practice: Technologies are rapidly evolving, making it difficult to stay updated and exposed to all the innovations. Some clinicians are eager to explore new concepts, some may have limited exposure, whereas others may refrain from utilizing up-and-coming new technologies. Best Practice: Understanding the limitations and benefits of new technologies and bringing basic scientific knowledge and better solutions to existing clinical challenges in order to fulfill unmet diagnostic and therapeutical needs. The presenters will summarize seven technologies, which will focus on providing affordable screening as well as high-volume and high-quality eye care and innovative technologies. Expected Outcomes: The audience will be exposed to an in-depth analysis of new technological modalities in screening, informatics, diagnostics, and treatment options in pediatric ophthalmology. Format: The workshop will include an overview of different clinically available technologies pertaining to pediatric ophthalmology. Each speaker, either an innovator or at the center of development or dissemination of these technologies, will provide a didactic lecture that will be followed by questions from the panel and audience, along with a discussion on the technologies' effectiveness and clinical relevance. Summary: In a rapidly changing world of technologies,and healthcare, this workshop will provide an overview of several existing innovations in pediatric ophthalmology.

20.
Bulletin of the Menninger Clinic ; 85(3):283-297, 2021.
Article in English | Web of Science | ID: covidwho-1413425

ABSTRACT

The coronavirus disease (COVID-19) has impacted life for people throughout the world, especially for those in health care who experience unique stressors. To support the psychological needs of staff, faculty, and learners at a biomedical sciences university, faculty at Baylor College of Medicine created a mental health and wellness support program consisting of multiple behavioral health care pathways, including phone support, a self-guided mental health app, a coping skills group, and individual therapy services. The authors present this program as a model for academic institutions to support the well-being of faculty, staff, and learners.

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