COVID-19 SYMPTOMS AND DISEASE COURSE IN GERMAN PEDIATRIC RHEUMATOLOGY PATIENTS REPORTED TO BIKER

BackgroundCOVID-19 has shaped the world over the last 3 years. Although the risk for severe COVID-19 progression in children is low it might be aggravated by chronic rheumatic disease or treatment with immunosuppressive drugs.ObjectivesWe analyzed clinical data of COVID-19 cases among paediatric patients with rheumatic diseases reported to BIKER between March 2020 and December 2022.MethodsThe main task of the German BIKER (Biologics in Pediatric Rheumatology) registry is safety monitoring of biologic therapies in JIA. After the onset of the COVID-19 pandemic, the survey was expanded with a standardized form to proactively interview all participating centers about occurrence, presentation and outcome of SARS-CoV-2 infections in children with rheumatic diseases.ResultsA total of 68 centres participated in the survey. Clinical data from 928 COVID infections in 885 patients with rheumatic diseases could be analyzed. JIA was the most common diagnosis with (717 infections), followed by genetic autoinflammation (103 infections), systemic autoimmune diseases (78 infections), idiopathic uveitis (n=25), vasculitis (n=5).In 374 reported COVID infections (40%), patients were receiving conventional DMARDs, in 331 (36%) biologics, mainly TNF inhibitors (TNFi, n=241 (26%)). In 567 reports (61%) patients used either a biologic or a DMARD, in 339 reports patients (37%) did not use any antirheumatic medication including steroid.Over the last 3 years, COVID-19 occurred in Germany in 5 distinguishable waves, calendar weeks (CW) 10-30 in 2020, CW 21/2020 – 8/2021(both predominantly wild-type variant), CW 9-27 in 2021 (Alpha variant in the majority of infections), CW 28-51 in 2021 (Delta variant), since CW 52/2021 (several Omikron variants;Robert-Koch Institute: VOC_VOI_Tabelle.xlsx;live.com))In our cohort, patients with SARS-CoV-2 infection were slightly older during the 1st and 2nd wave (mean age 12.7+/-3.5 and 12.8+/-4.3 years) compared to the 4th and 5th wave with 11.4+/-3.9 and 11.4+/-4.2 years;p=0.01.160 asymptomatic SARS-CoV-2 infections were reported, frequencies of symptoms associated with COVID-19 are shown in table 1.Five patients were hospitalized for 4-7 days. A 3½-year-old female patient succumbed during the first wave with encephalopathy and respiratory failure. The patient had been treated with MTX and steroids for systemic JIA. Genetic testing revealed a congenital immunodeficiency. No other patient needed ventilation or intensive care. One case of uncomplicated PIMS in an MTX treated JIA patient was reported.The duration of SARS-CoV-2 infection-associated symptoms was markably shorter during the 5th wave with 6.7+/-5.1 days, compared with reports from the other 4 waves (Table1).The duration of symptoms was higher in MTX treated patients (10.2+/-8.4 days) compared to patients without treatment (7.7+/-10.8;p=0.004) or patients treated with TNFi (8.2+/-4.8, p=0.002). Although patients treated with steroids also had a longer duration of symptoms (9.7+/-7.0), this was not significant.ConclusionExcept for one patient with congenital immunodeficiency who died, no case of severe COVID-19 was reported in our cohort. At the time of infection, over 60% of patients had been treated with conventional DMARDs and/or biologics. Although MTX treated patients had a slightly longer duration of symptoms, antirheumatic treatment did not appear to have a negative impact on severity or outcome of SARS-CoV-2 infection.Table 1.Characteristics and frequency of symptoms in SARS-CoV-2 infectionsN or mean (SD)1st wave N=202nd wave N=843rd wave N=384th wave N=1245th wave N=662female14532775432age at COVID-19, years12.7 (3.5)12.8 (4.3)11.8 (3.5)11.4 (3.9)11.4 (4.2)asymptomatic126132694duration of symptoms;days,11.9 (14.7)9.2 (7.0)14.1 (11.6)10.3 (7.6)6.7 (5.1)fever1218541306cough1015652245rhinitis5261344289headache4161227171sore throat61139132musculosceletal pain2751348loss of smell/taste71162113fatigue4882680dizziness122116gastrointestinal symptoms151864dyspnea1117pneumonia11bronchitis1REFERENCES:NIL.Acknowledgements:NIL.Disclosure of Inter stsAriane Klein Speakers bureau: Novartis, Toni Hospach Speakers bureau: Speaking fee Novartis and SOBI., Frank Dressler Speakers bureau: Abbvie, Novartis, Pfizer, Advisory Boards Novartis and Mylan, Daniel Windschall Grant/research support from: research funds by Novartis, Roche, Pfizer, Abbvie, Markus Hufnagel: None declared, Wolfgang Emminger: None declared, Sonja Mrusek: None declared, Peggy Ruehmer: None declared, Alexander Kühn: None declared, Philipp Bismarck: None declared, Maria Haller: None declared, Gerd Horneff Speakers bureau: Pfizer, Roche, MSD, Sobi, GSK, Sanofi, AbbVie, Chugai, Bayer, Novartis, Grant/research support from: Pfizer, Roche, MSD, AbbVie, Chugai, Novartis.

Social media and COVID-19 vaccination hesitancy during pregnancy: a mixed methods analysis.

OBJECTIVE: To evaluate the reasons for COVID-19 vaccine hesitancy during pregnancy. DESIGN: We used regular expressions to identify publicly available social media posts from pregnant people expressing at least one reason for their decision not to accept COVID-19 vaccine. SETTING: Two social media platforms - WhatToExpect and Twitter. SAMPLE: A total of 945 pregnant people in WhatToExpect (1017 posts) and 345 pregnant people in Twitter (435 tweets). METHODS: Two annotators manually coded posts according to the Scientific Advisory Group for Emergencies (SAGE) working group's 3Cs vaccine hesitancy model (confidence, complacency and convenience barriers). Within each 3Cs we created subthemes that emerged from the data. MAIN OUTCOME MEASURES: Subthemes were derived according to the people's posting own words. RESULTS: Safety concerns were most common and largely linked to the perceived speed at which the vaccine was created and the lack of data about its safety in pregnancy. This led to a preference to wait until after the baby was born or to take other precautions instead. Complacency surrounded a belief that they are young and healthy or already had COVID-19. Misinformation led to false safety and efficacy allegations, or even conspiracy theories, and fed into creating confidence and complacency barriers. Convenience barriers (such as availability) were uncommon. CONCLUSION: The information in this study can be used to highlight the questions, fears and hesitations pregnant people have about the COVID-19 vaccine. Highlighting these hesitations can help public health campaigns and improve communication between healthcare professionals and patients.

Influence of the corona pandemic in exercise behavior, quality of Life, anxiety and depression symptoms in adult German cancer patients - an online survey

Background: Covid-19 led to significant restrictions in the daily life for the German population. The aim of this study was to assess how the corona pandemic impacted on physical activity (PA) behavior, quality of life (QoL) as well as anxiety and depression symptoms of cancer patients. Method(s): Between May and July 2020, an online survey was conducted for adult cancer patients in Germany, with access to organized exercise programs. The questionnaire consisted of a cancer history, questions about PA and exercise behavior before and during the pandemic, as well as the standardized questionnaires EORTC C-30, HADS and FFKA questionnaires. Result(s): 117 subjects completed the survey. Exercise behavior was significantly reduced during the pandemic compared to before (p = 0.004). 70.1% of the subjects stated that they are exercising less than before the pandemic. With an average score of 58.12 within the global QoL scale, patients met the matched reference values (61.4). The social function scale achieved the lowest score (57,1. vs. reference data: 75,0) and physical function the highest (74.2 vs. reference data: 76,7). On the symptomatic scales, fatigue scale showed the highest symptom burden (48,24 vs. reference data: 34,6). 70.9% of the included patients stated that the restriction of social contacts due to the pandemic had an impact on their QoL. The mean HADS score was 10.62 points with 33.3 % of the subjects exceeding the cut-off value of >= 13. Conclusion(s): PA decreased significantly during the pandemic. QoL is reduced compared to pre-pandemic EORTC reference data, with the social function being most impaired. Regarding the development of mental disorders, the sample can be classified as endangered. The use of screenings for mental illnesses should be given greater consideration in oncological care. Further studies are needed to assess the longer-term impact of the corona pandemic on exercise behavior and psychosocial effects in cancer patients.

When the lights go down in the delivery room: lessons from a ransomware attack

Objective: To describe the challenges facing an obstetric division following a cyberattack that paralyzed all information technology systems including ADT (admission, discharge & transfer), EMR (electronic medical records), community patient health record (PHR) interface, radiology module, laboratories system, and employee communications network. Study Design: A retrospective descriptive study. Division activities, including the overall number of deliveries and cesarean sections (CS), emergency room visits, admissions, maternal-fetal medicine department occupancy, and ambulatory encounters, from two weeks prior to the attack to 8 weeks following it (a total of 11 weeks), were compared to the retrospective period in 2019 (before Covid-19). Also, we describe the challenges and the adaptations made at the hospital and division level until resuming full division activity. Result(s): On the day of the cyberattack, critical decisions were made. The media announced the event, calling patients not to arrive at our hospital. A senior obstetrician was stationed in the ER to ensure triage. All elective activities other than deliveries were stopped. For elective CS, risk stratification was done, and all potentially complicated surgeries (>= 3 previous cesarean or high bleeding potential) were referred to other hospitals. For all medical encounters, formatted documents were created and kept for later archiving. Labs were done and delivered manually only when critical and blood product transfusions were decreased to a minimum. The number of deliveries, admissions, and both emergency room and ambulatory clinic visits decreased by 5-10% (overall for 11 weeks), reflecting the decrease in patient traffic. Nevertheless, in all stations, activities continued with ongoing adaptations to ensure patient safety, decision making, and workflow of patients. Conclusion(s): Despite the obvious concerns, it is reasonable and safe to allow hospital activity even during cyberattacks. Healthcare systems at all levels should recognize the threat and have protocols for implementation once it occurs. [Formula presented] [Formula presented] Copyright © 2022

COVID-19 containment measures impact utilization and provision of healthcare in Europe : Julia Dratva

Background The COVID-19 containment measures, implemented to curb the pandemic, impacted health of children and adolescents by numerous pathways. We present the impact on health care utilization and provision. Methods A systematic review on secondary health impact is ongoing (PubMed, PsychInfo, Embase). Literature is screened (title, , full-text) by 2 researchers, and data of interest extracted systematically.. Inclusion criteria are age (0 - 25 yrs.), exposure: containment measures, outcome: secondary health outcome, and European data origin. Results Jan. 2020 - Aug. 2021 10112 studies were identified, 337 were included. n = 60 were on health care utilization and provision. Utilization studies relied on objective hospital or registry data, care provision studies more often on survey data (professionals, parents). Data yields a large but varying decrease in emergency department visits during the lockdown: Italy ∼75%, Spain ∼65%, France ∼60%, and Germany ∼64%, and a substantial change in case mix and severity compared to comparable pre-COVID. Specialized and primary pediatric practices report that elective interventions were postponed, state of the art diagnostics withheld, and rehabilitation services disrupted. Vaccinations in infants, children, and adolescents dropped during the lockdown inversely proportional to children's age. Studies repeatedly suggest patients’ health services avoidance out of fear of infection and stay-at-home rules.Results on catch-up utilization and provision to follow (ongoing study). Conclusions COVID-19 measures exerted a measurable impact on health utilization and provision in children and adolescents. The utilization was comparatively lower and service provision disrupted across Europe. So far little can be said about a potential recovery in terms of catch-up of visits, diagnostics, or treatments. Analyses of the long-term health impact of the observed effects is recommended and can serve to improve future pandemic preparedness. Key messages • COVID-19 confinement measures had measurable secondary health impact on children and adolescents. • Data on catch-up healthcare is important to establish long term impact and learnings.

POLLINATOR-FLOWER INTERACTIONS IN GARDENS DURING THE COVID-19 PANDEMIC LOCKDOWN OF 2020

During the main COVID-19 global pandemic lockdown period of 2020 an impromptu set of pollination ecologists came together via social media and personal contacts to carry out standardised surveys of the flower visits and plants in gardens. The surveys involved 67 rural, suburban and urban gardens, of various sizes, ranging from 61.18° North in Norway to 37.96° South in Australia, resulting in a data set of 25,174 rows, with each row being a unique interaction record for that date/site/plant species, and comprising almost 47,000 visits to flowers, as well as records of flowers that were not visited by pollinators, for over 1,000 species and varieties belonging to more than 460 genera and 96 plant families. The more than 650 species of flower visitors belong to 12 orders of invertebrates and four of vertebrates. In this first publication from the project, we present a brief description of the data and make it freely available for any researchers to use in the future, the only restriction being that they cite this paper in the first instance. The data generated from these global surveys will provide scientific evidence to help us understand the role that private gardens (in urban, rural and suburban areas) can play in conserving insect pollinators and identify management actions to enhance their potential. © 2022 The authors.

Adapting a medical school cancer research education program to the virtual environment

Background: As the number of patients with a cancer diagnosis grows in the United States, there is an increasing need for physician scientists with oncology-related research training to develop new approaches to screening, diagnosis, therapy, and survivorship. A single US medical school developed the National Cancer Institute-funded Scholars in Oncology-Associated Research (SOAR) cancer research education program. Due to the COVID-19 pandemic, SOAR transitioned from fully in-person in 2019 to virtual in 2020 and hybrid in 2021. This study examines whether the in-person, virtual, or hybrid formats provide better educational experiences as rated by participants. Methods: SOAR includes a seminar series, an 11-week full-time cancer research experience, weekly research cluster group meetings, and tumor board and interprofessional shadowing experiences. In 2019 all program activities were in-person. In 2020 all activities were virtual with the shadowing suspended. In 2021, seminars and tumor boards were virtual, shadowing was in-person, and all other activities were hybrid. Pre- and post-surveys were collected from all participants to assess understanding of oncology and associated medical specialties. How participant understanding of oncology and related specialties changed within each year's program was analyzed with a Wilcoxon rank-sum test. The Kruskal-Wallis test was used to examine change in understanding between the cohorts. Results: 37 students participated in SOAR (2019 n = 11, 2020 n = 14, 2021 n = 12). Self-reported understanding of oncology as a clinical (p < 0.01 for all) and research discipline (p < 0.01 for all) improved within all three cohorts. There was no significant difference between each cohort's improvement in research understanding (p = 0.6158). However, there was a trend towards more of an improvement in the in-person cohort (p = 0.0796) for clinical understanding. There was no significant difference between each cohort's improvement in understanding of oncology-related disciplines such as medical oncology, radiation oncology, pediatric oncology, surgical oncology, and survivorship as both clinical and research disciplines (p > 0.1 for all). Conclusions: A virtual cancer research education program can be as effective as an in-person or hybrid program for research education although it may be suboptimal for learning about clinical oncology. Given the ongoing challenges presented by the COVID-19 pandemic, flexibility is needed in delivering cancer research education programs such as SOAR. With modern research methodology and communications technology, cancer research is becoming increasingly diverse and flexible in terms of research environment. If program leaders are steadfast in their adaptation of research education programs to a virtual or hybrid environment, participant understanding of oncology as a clinical and research discipline remains robust.

EXPERIENCES with COVID-19 INFECTIONS in GERMAN PEDIATRIC RHEUMATOLOGY CENTERS

Background: Although the risk for severe COVID-19 progression in children is low, this may be aggravated by the underlying disease and/or immunosuppres-sive drugs. Objectives: We analyzed clinical data of COVID-19 cases among paediatric patients with rheumatic diseases reported to the BIKER registry. Methods: The main task of the German BIKER (Biologics in Pediatric Rheumatology) registry is to monitor the safety of biologics therapies in JIA. After the onset of the COVID-19 pandemic, the survey was expanded with a standardized form to proactively interview all participating centers about the occurrence, presentation, and outcome of SARS-CoV-2-infections in children with rheumatic diseases. Interviews were conducted with 68 centers initially weekly and later biweekly. Results: A total of 68 centres participated in the survey. Clinical data from 194 COVID-19 cases reported to the BIKER registry from 41 German and 1 Austrian pediatric rheumatology institutions between February 2020 and December 2021 were analyzed. Juvenile idiopathic arthritis (JIA, n=144) was the most common diagnosis followed by genetic autoinflammation (n=18;i.e. FMF, TRAPS, CAPS, HIDS, DADA2), systemic autoimmune diseases (n=11;i.e. SLE, dermatomyositis, vasculitis) and 16 with other rheumatic diseases (i.e. CRMO, Uveitis). 5 patients with no rheumatic disease were excluded. 104 (54%) patients were receiving conventional DMARDs, 81 (43%) received biologics, mainly TNF inhibitors (n=66 (35%)). Of the 189 rheumatic patients with SARS-CoV2 infection, 123 (63%) were female. The mean age was 12.4+/-4.4 years in females and 13.2+/-4.1 in males. The duration of SARS-Co2 infection associated symptoms was 13.8+/-15.3 days (max. 113 days), in 35 (43%) patients they lasted for > 12 days. 46 (24%) were asymptomatic. Patients with autoinflammation and systemic autoimmunopathies reported more symptoms such as fever, head and throat ache. 4 patients only complained about dyspnea. Only 3 patients were hospitalized and received Oxygen-supplementation. The only patients admitted to ICU, received ventilation but succumbed. This 3/-year-old patient, initially diagnosed with systemic JIA, developed fatal disease with intracranial edema and respiratory failure, as well as typical pulmonary texture changes. Prior to her SARS-CoV-2 infection, the patient was treated with MTX and low-dose steroids. Genetic testing revealed a so far unrecognized congenital immunodeficiency. In the total JIA cohort, treatment with corticosteroids, conventional DMARDs, biologics or combinations did not influence the number of reported symptoms or the favorable outcome of the cohort. However, the duration of symptoms was lower in the TNF-treated cohort (10.4+/-6.4 days vs. 15.7 +/-19.7 days). In the cohort with autoinflammation, fever was observed in 11 (61%). Those 6 who received IL-1-inhibitors did not show a different outcome than those 12 who did not. No case of PIMS/MISC in children with rheumatic diseases was reported. Conclusion: Except for one patient with congenital immunodefciency who died from her COVID-19 infection, no case of severe COVID-19 was reported in our cohort. At the time of infection, over 80% of patients in our cohort had been treated with conventional DMARDs and/or biologics. This did not appear to have a negative impact on the severity or outcome of SARS-CoV2 infection. Interestingly, no case of PIMS/MISC was observed.

[The first COVID-19 hotspot in a retirement home in Hamburg]. / Der erste COVID-19-Hotspot in einer Hamburger Senioreneinrichtung: Präventionskonzept, Letalität und Obduktionsbefunde.

Background: Coronavirus disease 2019 (COVID-19), a disease caused by the new coronavirus (SARS-CoV-2), is a particular threat to old people. At the end of March 2020, the first and so far largest outbreak of the disease occurred in a retirement home in Hamburg. Methods: Analysis of procedures in dealing with a residential unit affected by SARS-CoV­2, accommodating a risk group of 60 seniors with dementia is presented as well as a detailed presentation of post-mortem examination results of all 8 deceased tested positive for SARS-CoV­2. Results: Out of 60 residents, 39 were infected by SARS-CoV­2. Due to preventive procedures it was possible to stop further spreading of the infection to other residential areas. In all 8 fatal cases, the autopsy diagnosis was death due to COVID-19. Autopsies revealed all COVID-19 patients to have a fatal (broncho)pneumonia and signs of relevant pre-existing cardiac, renal and pulmonary conditions in all cases. In 75% (n = 6) of the cases a fresh venous thrombosis was found. In 66.7% (n = 4) of the cases thrombotic events were combined with peripheral pulmonary artery thromboembolisms. Conclusion: The cohort of SARS-CoV­2 infected residents of a nursing home is characteristic for clinical and epidemiological features of the new coronavirus disease. Due to a centralized evaluation of all fatalities at the Institute of Legal Medicine in Hamburg, a detailed examination of all deceased positive for SARS-CoV­2 was possible. Thereby, increased case fatality rates of approximately 20% could in all cases be assigned to a relevant number of pre-existing comorbidities of multiple organ systems, which was consistent with the clinical data available.

Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets

The Internet has never been more important to our society, and understanding the behavior of the Internet is essential. The Center for Applied Internet Data Analysis (CAIDA) Telescope observes a continuous stream of packets from an unsolicited darkspace representing 1/256 of the Internet. During 2019 and 2020 over 40,000,000,000,000 unique packets were collected representing the largest ever assembled public corpus of Internet traffic. Using the combined resources of the Supercomputing Centers at UC San Diego, Lawrence Berkeley National Laboratory, and MIT, the spatial temporal structure of anonymized source-destination pairs from the CAIDA Telescope data has been analyzed with GraphBLAS hierarchical hypersparse matrices. These analyses provide unique insight on this unsolicited Internet darkspace traffic with the discovery of many previously unseen scaling relations. The data show a significant sustained increase in unsolicited traffic corresponding to the start of the COVID19 pandemic, but relatively little change in the underlying scaling relations associated with unique sources, source fan-outs, unique links, destination fan-ins, and unique destinations. This work provides a demonstration of the practical feasibility and benefit of the safe collection and analysis of significant quantities of anonymized Internet traffic.

Effects of the COVID-19 pandemic on the German-speaking tourism university landscape - current assessments and future perspectives. (Special Issue: Covid-19 - eine Zeitenwende im Tourismus.) [German]

The COVID-19 pandemic not only affects many segments of the economy, especially the leisure and tourism industries, but also the education sector, i. H. schools, colleges and universities. In this respect, academic tourism training is doubly affected: on the one hand, courses in the previous form can no longer be carried out and require new teaching formats and concepts on the part of the teachers. On the other hand, there are increasing challenges for young academics to find jobs after completing their studies and/or (study-related) internships in the leisure and tourism industry. This project report is dedicated to the perspective of the teachers and analyzes the effects of the COVID-19 pandemic on the German-speaking tourism college and university landscape.

Host Immune-Protein Signature Combining TRAIL, IP-10 and CRP for Early and Accurate Prediction of Severe COVID-19 Outcome

Background. Accurately identifying COVID-19 patients at-risk to deteriorate remains challenging. Dysregulated immune responses impact disease progression and development of life-threatening complications. Tools integrating host immune-protein expression have proven useful in determining infection etiology and hold potential for prognosticating disease severity. Methods. Adults with COVID-19 were enrolled at medical centers in Israel, Germany, and the United States (Figure 1). Severe outcome was defined as intensive care unit admission, non-invasive or invasive ventilation, or death. Tumor necrosis factor related apoptosis inducing ligand (TRAIL), interferon gamma inducible protein-10 (IP-10) and C-reactive protein (CRP) were measured using an analyzer providing values within 15 minutes (MeMed Key®). A signature indicating the likelihood of severe outcome was derived generating a score (0-100). Description of derivation cohort RT-PCR, reverse transcription polymerase chain reaction. Results. Between March and November 2020, 518 COVID-19 patients were enrolled, of whom 394 were eligible, 29% meeting a severe outcome. Age ranged between 19-98 (median 61.5), with 59.1% male. Patients meeting severe outcomes exhibited higher levels of CRP and IP-10 and lower levels of TRAIL (Figure 2;p < 0.001). Likelihood of severe outcome increased significantly (p < 0.001) with higher scores. The signature's area under the receiver operating characteristic curve (AUC) was 0.86 (95% confidence interval: 0.81-0.91). Performance was not confounded by age, sex, or comorbidities and was superior to IL-6 (AUC 0.77;p = 0.033) and CRP (AUC 0.78;p < 0.001). Clinical deterioration proximal to blood draw was associated with higher signature score. Scores of patients meeting a first outcome over 3 days after blood draw were significantly (p < 0.001) higher than scores of non-severe patients (Figure 3). Moreover, the signature differentiated patients who further deteriorated after meeting a severe outcome from those who improved (p = 0.004) and projected 14-day survival probabilities (p < 0.001;Figure 4). TRAIL, IP-10, CRP and the severity signature score are differentially expressed in severe and non-severe COVID-19 infection Dots represent patients and boxes denote median and interquartile range (IQR) The signature score of patients meeting a severe outcome on or after the day of blood draw is significantly (p < 0.001) higher than the signature score of non-severe patients. Dots represents patients and boxes denote median and IQR Kaplan-Meier survival estimates for signature score bins Conclusion. The derived signature combined with a rapid measurement platform has potential to serve as an accurate predictive tool for early detection of COVID-19 patients at risk for severe outcome, facilitating timely care escalation and de-escalation and appropriate resource allocation.

Rapid and Sustained Decline in CXCL-10 (IP-10) Annotates Clinical Outcomes Following TNF-α Antagonist Therapy in Hospitalized Patients with Severe and Critical COVID-19 Respiratory Failure

Background. TNFα and IFN-γ may synergize to induce cytokine-driven lethal hyperinflammation and immune exhaustion in COVID-19 illness. Methods. To assess TNFα-antagonist therapy, 18 hospitalized adults with hypoxic respiratory failure and COVID-19 pneumonia received single-dose infliximab-abda therapy 5mg/kg intravenously between April and December 2020. The primary endpoint was time to increase in oxygen saturation to fraction of inspired oxygen ratio (SpO2/FiO2) by ≥ 50 compared to baseline and sustained for 48 hours. Secondary endpoints included 28-day mortality, dynamic cytokine profiles (Human Cytokine 48-Plex Discovery Assay), secondary infections, duration of supplemental oxygen support and hospitalization. Hospitalized patients with SARS-COV2 infection and pneumonia that were referred to the infliximab-abda study team for evaluation. Results. Patients were predominantly in critical respiratory failure (15/18, 83%), male (14/18, 78%), above 60 years (median 63 yrs, range 31-80), race-ethnic minorities (13/18, 72%), lymphopenic (13/18, 72%), steroid-treated (17/18, 94%), with a median ferritin of 1953ng/ml. Sixteen patients (89%) met the primary endpoint within a median of 4 days, 15/18 (83%) recovered from respiratory failure, and 14/18 (78%) were discharged in a median of 8 days and were alive at 28-day follow-up. Deaths among three patients ≥ 65 years age with pre-existing lung disease or multiple comorbidities were attributed to secondary lung infections. Mean plasma IP-10 levels declined sharply from 9183 pg/ml to 483 pg/ml at Day 3 and 146 pg/ml at Day 14/discharge. Significant declines in IFN-γ, TNFα, IL-27, IL-6 (baseline above 10pg/ml), CRP and ferritin were specifically observed at Day 3 whereas other cytokines were unaffected. Among 13 lymphopenic patients, six (46%) had resolution of lymphopenia by day 3, and 11 by day 14. CXCR3-ligand (IP-10 and CXCL-9) declines were strongly correlated among patients with lymphopenia reversal (Day 3, Pearson r: 0.98, p-value: 0.0006). following treatment with infliximab-abda. The status of the patient at last follow-up (discharged, alive or dead) is indicated. ECMO: extracorporeal membrane oxygenation Control of inflammatory markers and cytokines following infliximab therapy Values from individuals are connected with solid lines, with deceased individuals indicated in red. Statistics: n=18, paired ratio t-test compared to baseline;∗: P<0.05, ∗∗: P<0.01, ∗∗∗: P<0.001, ∗∗∗∗: P<0.0001, n.s.: not significant. Conclusion. Consistent with a central role of TNFα, the clinical and cytokine data indicate that infliximab-abda may rapidly abrogate pathological inflammatory signaling to facilitate clinical recovery in severe and critical COVID-19. Randomized studies are formally evaluating infliximab therapy in this context. Funding: National Center for Advancing Translational Sciences.

TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19

A key takeaway from the COVID-19 crisis is the need for scalable methods and systems for ingestion of big data related to the disease, such as models of the virus, health surveys, and social data, and the ability to integrate and analyze the ingested data rapidly. One specific example is the use of the Internet of Things and wearables (i.e., the Oura ring) to collect large-scale individualized data (e.g., temperature and heart rate) continuously and to create personalized baselines for detection of disease symptoms. Individualized data, when collected, has great potential to be linked with other datasets making it possible to combine individual and societal scale models for further understanding the disease. However, the volume and variability of such data require novel big data approaches to be developed as infrastructure for scalable use. This paper presents the data pipeline and big data infrastructure for the TemPredict project, which, to the best of our knowledge, is the largest public effort to gather continuous physiological data for time-series analysis. This effort unifies data ingestion with the development of a novel end-to-end cyberinfrastructure to enable the curation, cleaning, alignment, sketching, and passing of the data, in a secure manner, by the researchers making use of the ingested data for their COVID-19 detection algorithm development efforts. We present the challenges, the closed-loop data pipelines, and the secure infrastructure to support the development of time-sensitive algorithms for alerting individuals based on physiological predictors illness, enabling early intervention. © 2021 IEEE.

Supercomputing Enabled Deployable Analytics for Disaster Response

First responders and other forward deployed essential workers can benefit from advanced analytics. Limited network access and software security requirements prevent the usage of standard cloud based microservice analytic platforms that are typically used in industry. One solution is to precompute a wide range of analytics as files that can be used with standard preinstalled software that does not require network access or additional software and can run on a wide range of legacy hardware. In response to the COVID-19 pandemic, this approach was tested for providing geo-spatial census data to allow quick analysis of demographic data for better responding to emergencies. These data were processed using the MIT SuperCloud to create several thousand Google Earth and Microsoft Excel files representative of many advanced analytics. The fast mapping of census data using Google Earth and Microsoft Excel has the potential to give emergency responders a powerful tool to improve emergency preparedness. Our approach displays relevant census data (total population, population under 15, population over 65, median age) per census block, sorted by county, through a Microsoft Excel spreadsheet (xlsx file) and Google Earth map (kml file). The spreadsheet interface includes features that allow users to convert between different longitude and latitude coordinate units. For the Google Earth files, a variety of absolute and relative colors maps of population density have been explored to provide an intuitive and meaningful interface. Using several hundred cores on the MIT SuperCloud, new analytics can be generated in a few minutes. © 2021 IEEE.

(Hedonic) ShoppingWill Find aWay: The COVID-19 Pandemic and its Impact on Consumer Behavior

The issue currently permeating is how COVID- 19 affects our lives, including in terms of consumer behavior. For example, sales of men's suits have fallen sharply since March 2020, while there has been high demand for jogging pants. While German online retailing was able to increase sales by double digits in 2020, downtown retailers of non-food articles (e.g., textiles, shoes, etc.) had to accept a decrease of more than 20 % (HDE 2021). Our article focuses on the questions of whether consumer behavior has been fundamentally affected by the crisis, whether previously formed shopping patterns have dissipated and led to new shopping behavior, and whether old habits will return. Using two surveys at different timestamps of the pandemic, we analyze the impact on consumers' shopping styles and particularly discuss whether the pandemic has permanently changed online shopping tendencies and ethical behavior, and whether the desire for experience-oriented shopping has changed. © 2021 C.H.BECK oHG. All rights reserved.