An Analytical Approach for Dispatch Operations of Emergency Medical Services: A Case Study of COVID-19

: Emergency medical services (EMS) aims to deliver timely ambulatory care to incidents in communities. However, the operations of EMS may contend with suddenly increasing demands resulting from unexpected disasters such as disease outbreaks (e.g., COVID-19) or hurricanes. To this end, it usually requires better strategical decisions to dispatch, allocate, and reallocate EMS resources to meet the demand changes over time in terms of demographic and geographic distribution of incidents. In this study, we focus on the operation of the EMS resources (i.e., ambulance dispatch) in response to a demand disruption amid the COVID-19 pandemic. Specifically, we present a analytical framework to (1) analyze the underlying demographic and geographic patterns of emergency incidents and EMS resources;(2) develop a mathematical programming model to identify potential demand gaps of EMS coverage across different districts;and (3) provide a remedial reallocation solution to the EMS system with the existing ambulance capacity. The proposed method is validated with emergency response incident data in New York City for the first COVID-19 surge from March to April 2020. We found that it takes a long incident response time to scenes which reflects unexpected incident demands during COVID-19 surge. To cover such disruptive demands, ambulances need to be reallocated between service districts while meeting the response time standard. The proposed framework can be potentially applied to similar disruptive scenarios in the future and other operational systems disrupted by other disasters. Highlights: We propose an analytical framework using optimization modeling and simulation techniques for EMS resource allocation in response to a demand disruption amid the COVID-19 pandemic.We propose mathematical programming models to identify potential demand gaps of EMS coverage across different districts.We provide a remedial reallocation solution to the EMS system with the existing ambulance capacity. © 2023, The Author(s).

Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking

During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness and reliability of information sources and platforms. This parallels evolutions in information infrastructures, ranging from social media to government data platforms. Distinct from current literature, which presumes a static relationship between the presence or absence of trust and people's behaviors, our mixed-methods research focuses on situated trust, or trust that is shaped by people's information-seeking and assessment practices through emerging information platforms (e.g., social media, crowdsourced systems, COVID data platforms). Our findings characterize the shifts in trustee (what/who people trust) from information on social media to the social media platform(s), how distrust manifests skepticism in issues of data discrepancy, the insufficient presentation of uncertainty, and how this trust and distrust shift over time. We highlight the deep challenges in existing information infrastructures that influence trust and distrust formation.

Social Media Use and COVID-19 Vaccination Intent: An Exploratory Study on the Mediating Role of Information Exposure

We stumble upon new and repeating information daily. As information comes from many sources, social media continues to play a predominant role in disseminating information, ultimately impacting individuals' perceptions and behaviors. A prime example of this impact was observed during the COVID-19 pandemic, in which social media use was influencing willingness to receive the COVID-19 vaccine. While studies on this relationship between social media use and vaccination intent have been widely investigated, less is known about the mechanisms that link these two variables, specifically the types of information seen on social media platforms and the effects of these different types of information. In this exploratory study, we demonstrate the mediator role of information exposure (to include both types of information and frequency) between social media use and vaccination intent. Our results show that different types of information mediate this relationship differently and demonstrate how these relationships were further moderated by the income level of the participant. We conclude with the implications of these findings and how our findings can inform the direction of future research within the field of human-computer interaction.

Investigating Older Adults' Atitudes towards Crisis Informatics Tools: Opportunities for Enhancing Community Resilience during Disasters

The world population is projected to rapidly age over the next 30 years. Given the increasing digital technology adoption amongst older adults, researchers have investigated how technology can support aging populations. However, little work has examined how technology can support older adults during crises, despite increasingly common natural disasters, public health emergencies, and other crisis scenarios in which older adults are especially vulnerable. Addressing this gap, we conducted focus groups with older adults residing in coastal locations to examine to what extent they felt technology could support them during emergencies. Our fndings characterize participants' desire for tools that enhance community resilience-local knowledge, preparedness, community relationships, and communication, that help communities withstand disasters. Further, older adults' crisis technology preferences were linked to their sense of control, social relationships, and digital readiness. We discuss how a focus on community resilience can yield crisis technologies that more efectively support older adults.

Is COVID Revealing a Virus in CMBS 2.0?

Commercial loan valuations crucially depend on accurate loan income, but underwritten income on commercial mortgage-backed securities (CMBS) loans is commonly overstated relative to actual property income. Consistent with these differences being originator-specific, income overstatement in CMBS 2.0 deals varies widely and persistently across originators, is priced by originators, is related across property types within an originator, is predictable ex ante, and is accompanied by inflation of past financials. Risk retention and associated regulation had no discernible effect on income overstatement. Originator income overstatement is highly predictive of pre- and COVID-period loan distress. Overall, recent market stresses reveal large systemic differences in underwriting standards across originators. © 2023 The Authors. The Journal of Finance published by Wiley Periodicals LLC on behalf of American Finance Association.

Overcoming COVID-19 challenges in Ambulatory Surgery: Reflections of a Junior Doctor

The COVID-19 pandemic has affected the UK in many ways;with the NHS being put under unprecedented pressure. It led to the cessation of elective surgery for months;causing a back log of deteriorating patients. With the introduction of COVID vaccines and a call for return to normality, new ways of delivering elective surgery to waiting patients, presents an opportunity to find sustainable ways to ensure continuity of treatment in an unstable health economy. The challenges of Covid to ambulatory surgery are outlined and strategies to overcome these challenges discussed.

ENDOVASCULAR RECONSTRUCTION FOLLOWING IVC AND BILATERAL LOWER EXTREMITY THROMBOSIS IN AN ADOLESCENT

Background: Inferior Vena Cava (IVC) abnormalities are a risk factor for the development of lower extremity deep vein thrombosis (DVT). Abnormalities can be congenital or acquired and include IVC atresia, a rare and lesser known problem for adolescents. Adolescents with IVC atresia are at high risk for DVT's that are often refractory to standard anticoagulation methods, including thrombolysis. Objectives: The purpose of this report is to highlight a young patient with extensive lower extremity DVT in the setting of underlying IVC atresia and describe the complex care required. The patient is a 16-year-old with a history of venous insufficiency who presented with low back pain and lower extremity swelling. Thrombotic risk factors included factor V Leiden heterozygosity, oral contraceptive use, and recent COVID-19 vaccination. An MRI completed by the orthopedist for back pain was concerning for abnormal signal in the IVC as well as an IVC aneurysm. A contrast enhanced CT was obtained and demonstrated atresia of the suprarenal IVC, subacute thrombosis of the infrarenal IVC along with an IVC aneurysm, and subacute thrombosis of the bilateral iliac veins. Design/Method: A retrospective chart review of the patient's initial presentation, imaging, and treatments was conducted along with a review of the literature involving similar cases. Results: Initial treatment was intravenous heparin and t-PA mediated thrombolysis. After overnight thrombolysis, venography revealed significant clot lysis;thus, she was transitioned to subcutaneous enoxaparin and discharged home with therapeutic anti-Xa levels. Follow up imaging 3 days later revealed recurrent thrombosis of the deep veins in both lower extremities. She was readmitted, placed on intravenous heparin, and received catheter directed t-PA thrombolysis. Clot burden was so extensive it was further reduced using Angio jet thrombectomy and balloon angioplasty. Because the recurrent clots were attributed to lack of outflow from the underlying IVC atresia, interventional radiology completed endovascular reconstruction of the IVC. She then transitioned from intravenous heparin to therapeutic enoxaparin, clopidogrel, and aspirin. At three month follow up, imaging was negative for clot and her vasculature was widely patent. Conclusion: Pediatric patients with bilateral lower extremity DVTs are uncommon and underlying IVC abnormalities should be considered in the evaluation. Optimal treatment strategies are evolving and include aggressive anticoagulation and endovascular reconstruction.

Reflections on Ambulatory Pathways in the Post-Covid Era

The worldwide COVID-19 pandemic halted elective surgery in many countries, either as a result of staff and patient safety, or due to the loss of ambulatory facilities which were converted to assist in the management of COVID positive patients.The reintroduction of ambulatory surgery has required changes in the patient pathway for the foreseeable future to reduce the risks of viral infection.While the components of the ambulatory pathway remain unchanged, the delivery of the patient process now involves fewer face-to-face interactions between patient and health care professionals with unnecessary visits to the healthcare facility eliminated.When face-to-face interactions do occur, then appropriate Personal Protective Equipment (PPE) is required.Without doubt, the perioperative process has become more difficult to deliver, but in contrast, the preassessment component of the pathway and discharge processes have become more streamlined due to the enforced changes precipitated by COVID-19.

Demographic and Clinical Characteristics of Suspect SARS-CoV-2 Reinfection Cases in Los Angeles County from March 10 to June 1, 2021: A Crosssectional Study of Case Interview Data

Background. Probable and suspect SARS-CoV-2 reinfection has been reported globally, with implications for risk assessment and pandemic control. Genomic sequencing and supporting data are frequently unavailable to confirm SARS-CoV-2 reinfection. Methods. In March 2021, Los Angeles County Department of Public Health began interviewing suspect reinfection cases, defined as individuals with SARSCoV-2 RNA detected ≥ 90 days after the first detection of SARS-CoV-2 RNA via molecular testing. We conducted a cross-sectional study of case interview data from March 10 to June 1, 2021 to estimate the prevalence of suspect reinfection cases;describe the interval between repeat positives ≥ 90 days;and, estimate bivariate prevalence odds ratios (OR) with 95% confidence intervals (95% CI) for suspect reinfections and age, sex, race/ethnicity, reason for testing, symptomology, and comorbidities. Results. From March 10 to June 1, 2021, we attempted 29,983 case interviews, including 1,901 (6.3%) suspect reinfection cases and 28,082 (93.7%) initial cases. Among suspect reinfection cases, the median interval between repeat positive tests was 117 days (interquartile range: 102, 141). Suspect reinfection cases had decreased odds of completing case interviews (n=738;38.8%) compared to initial cases (n=13,263;47.2%) (OR: 0.71;95% CI: 0.65, 0.78). Among completed case interviews, suspect reinfection cases had increased odds of being older (50-64 years OR: 1.63 [95% CI: 1.32, 2.01];≥ 65 years OR: 3.77 [95% CI: 3.00, 4.74];ref. 30-49 years);Hispanic/Latino (OR: 2.64 [95% CI: 2.10, 3.33];ref. White);female (OR: 1.21 [95% CI: 1.04, 1.41]);reporting screening as their testing reason (OR: 10.39;[95% CI: 7.45, 14.48];ref. known exposure);and reporting underlying health conditions (OR: 2.64;95%CI: 2.24, 3.10). Suspect reinfection cases had decreased odds of being symptomatic (OR 0.15;95% CI: 0.13, 0.18). Conclusion. This analysis of case interview data indicates individuals who are older, Hispanic, female, and have underlying health conditions may be vulnerable populations for suspect reinfection. Limitations include unconfirmed reinfection and alternative explanations such as persistent positivity with decreased symptoms and infectivity over time.

Sars-Cov-2 Infection Promotes Endothelial Dysfunction and Thrombosis in a Mouse Model of COVID-19

Coronavirus disease 2019 (COVID-19) is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Most infected individuals are asymptomatic or show only mild symptoms, but 20% of infected individuals become severely ill resulting in a 2-5% mortality rate for severe infections. Men, the elderly and patients with comorbidities (such as cardiovascular disease, hypertension, diabetes, and obesity) are more likely to develop severe disease. Clinical features characterizing severe COVID-19 cases include inflammation and thrombosis, but the molecular mechanisms underlying these processes remain elusive. K18 hACE2 transgenic mice express the SARSCoV-2 receptor human angiotensin-converting enzyme 2 (hACE2) under the control of the human cytokeratin 18 (K18) promoter. K18 hACE2 mice express hACE2 in airway epithelial cells and are susceptible to SARS-CoV-1 and SARS-CoV-2 infections. At the dose of 10 5 PFU/mouse, all SARS-CoV-2-infected K18 hACE2 mice rapidly lose weight and succumb to viral infection by 5-6 days post infection. Morbidity and mortality correlated with SARS-CoV-2 replication in the nasal turbinates and lungs. Notably, susceptibility was highly associated with a local and systemic cytokine/chemokine storm. SARS-CoV-2 infection in K18 hACE2 mice recapitulates many of the pathological findings observed in human patients offering a reliable animal model for the study of SARS-CoV-2 pathogenesis. Infection with a lower viral dose (10 4 and 2.5x10 3 PFU/mouse) prolongs the symptomatic phase of the infection, postponing time of death up to 16 days post infection (mortality rate at 10 4 PFU: ~40% in females, 100% in males;mortality rate at 2.5x10 3 PFU: ~30% in females, ~55% in males). At these lower viral doses, K18 hACE2 mouse males exhibited both increased susceptibility to the SARS-CoV-2 infection and more severe disease. Male mice showed increased mortality associated with an increase in weight loss and decrease in body temperature. Disease characteristics showed striking similarities with reported human COVID-19 cases, including severely reduced O 2 saturation. The pathogenesis of severe COVID-19 cases involves both virus-induced cell damage and secondary tissue damage due to a vicious cycle of dysregulated - hyperactive coagulation and inflammatory pathways that present as “a cytokine storm”, endothelial dysfunction, and “immunothrombosis”. Analysis of murine plasma analytes from infected mice revealed additional pathogenetic features resembling SARS-CoV-2 infection in humans. High circulating D-dimer levels are now considered a main predictor of poor outcome of SARS-CoV-2 infection. Notably, we also observed a progressive increase of circulating D-dimer levels in the plasma of K18 hACE2 infected mice peaking at day 7 post infection, suggestive of a hypercoagulable state. Moreover, similar to humans, the increase in soluble thrombomodulin plasma concentration and its correlation with disease severity was indicative of endothelial activation and dysfunction in K18 hACE2 infected mice. SARS-CoV-2 infection-induced changes of coagulation and endothelial activation in mice resulted in a biphasic alteration of endothelial permeability where an initial increase in vascular permeability, peaking at day 5 post infection, was followed by a sudden decrease in Evan's blue dye extravasation in the lung parenchyma and characterized by the appearance of areas of hemorrhagic infarction indicative of thrombotic events. Altogether, our results identify the K18 hACE2 transgenic mouse as an important small animal model to study the molecular mechanisms involved in the derangement of the finely tuned interaction between the immune and coagulation systems associated with severe cases of SARS-CoV-2 infections. Disclosures: Mosnier: Hematherix: Membership on an entity's Board of Directors or advisory committees;Coagulant Therapeutics: Research Funding.

Rapid analysis of local data to inform off-label tocilizumab use early in the COVID-19 pandemic.

The interleukin-6 receptor antagonist tocilizumab became widely used early in the coronavirus disease 2019 (COVID-19) pandemic based on small observational studies that suggested clinical benefit in COVID-19 patients with a hyperinflammatory state. To inform our local treatment algorithms in the absence of randomized clinical trial results, we performed a rapid analysis of the first 11 hospitalized COVID-19 patients treated with tocilizumab at our academic medical center. We report their early clinical outcomes and describe the process by which we assembled a team of diverse trainees and stakeholders to extract, analyze, and disseminate data during a time of clinical uncertainty.

SARS-CoV-2 testing in North Carolina: Racial, ethnic, and geographic disparities.

SARS-CoV-2 testing data in North Carolina during the first three months of the state's COVID-19 pandemic were analyzed to determine if there were disparities among intersecting axes of identity including race, Latinx ethnicity, age, urban-rural residence, and residence in a medically underserved area. Demographic and residential data were used to reconstruct patterns of testing metrics (including tests per capita, positive tests per capita, and test positivity rate which is an indicator of sufficient testing) across race-ethnicity groups and urban-rural populations separately. Across the entire sample, 13.1% (38,750 of 295,642) of tests were positive. Within racial-ethnic groups, 11.5% of all tests were positive among non-Latinx (NL) Whites, 22.0% for NL Blacks, and 66.5% for people of Latinx ethnicity. The test positivity rate was higher among people living in rural areas across all racial-ethnic groups. These results suggest that in the first three months of the COVID-19 pandemic, access to COVID-19 testing in North Carolina was not evenly distributed across racial-ethnic groups, especially in Latinx, NL Black and other historically marginalized populations, and further disparities existed within these groups by gender, age, urban-rural status, and residence in a medically underserved area.

Remote Monitoring of Heart Transplant Recipients during the COVID-19 Pandemic

Purpose The COVID-19 pandemic created significant challenges in monitoring heart transplant (HT) recipients for rejection due to efforts to minimize contact with the hospital setting. The aim of this study was to evaluate the safety and efficacy of transitioning HT patients to home phlebotomy and a monitoring protocol based on gene expression profiling (GEP) and donor derived cell free DNA (ddcfDNA). Methods A single-center cohort study that prospectively enrolled consecutive HT patients who were transitioned to a remote monitoring protocol employing home phlebotomy and non-invasive surveillance for rejection. Patients were enrolled starting at 2 months post-HT. Positive GEP values were defined as ≥32 (up to 6 months post-HT) and ≥34 (> 6 months post-HT). A positive ddcfDNA score was defined as >0.12%. A positive biopsy was defined as grade ≥1B/1R Results 246 HT patients were enrolled and followed for a minimum of 3 months. Mean age was 56±14, 71.5% were male, and median time from transplant was 2.7 years. The average distance of patients from the hospital was 25.6 miles. 359 blood tests were drawn for detection of GEP and ddcfDNA and 102 biopsies performed (Figure). Among 32 patients who had negative results on both tests and had a biopsy, 0 had a positive biopsy. Of 25 patients who had positive results on both tests and had a biopsy, 3 (12%) had a positive biopsy. The biopsy positivity rate in patients who were GEP+/ddcfDNA- was 6% and in patients who were GEP-/ddcfDNA+ was 8%. None of the positive biopsies were associated with hemodynamic compromise. 15 (6%) of patients were admitted due to allograft rejection during the study period. There were no deaths. Conclusion Using a remote monitoring protocol with home phlebotomy and noninvasive rejection surveillance was feasible and safe in HT recipients. In this cohort, the combination of negative GEP and ddcfDNA scores was accurate at predicting a lack of allograft rejection.

The Utility of Televisits in Patients with Cardiac Amyloidosis during the COVID-19 Pandemic

Purpose In the era of COVID-19, the televisit has become a critical means of providing healthcare for patients unable to attend in-person visits. Transthyretin and light chain amyloidosis are complex diseases, that require frequent and close follow up. The aim of this study was to assess the utility and effectiveness of televisit encounters for patients with cardiac amyloidosis (CA) during the COVID-19 pandemic. Methods This was a prospective cohort study of consecutive patients with CA who were evaluated by televisit between March and May, 2020, at a large academic medical center. Patient demographics, baseline medications and details of televisit encounters were collected from electronic medical records. Patients were followed for 3 months from their first televisit for medication changes, in-person clinic visits, hospital admissions, and mortality. Results Ninety-eight patients with CA were included. Mean age was 76.5±9.1 yrs and 79 were male (80.6%). The number of televisits per patient is shown in Figure 1a. Over 3-months follow-up, 26 patients (26.5%) were seen for either an in-person clinic visit or right heart catheterization. There were 7 emergency room visits, of which 4 (4.1%) resulted in hospital admission, 1 patient (1.0%) had multiple admissions and no patient died (Figure 1b). None of the hospital admissions occurred within two weeks of a televisit. Hospital admissions were due to heart failure exacerbation, sepsis, acute kidney injury and dehydration secondary to diarrhea. During follow-up, 23 patients (23.5%) had medication adjustments, most commonly changes in diuretic (56.5%) and mineralocorticoid receptor antagonist (56.5%) doses. Two patients were newly initiated on tafamidis, for treatment of transthyretin CA. Conclusion The use of televisits for the management of patients with CA is feasible, and the low admission rate indicates that televisits are a safe and effective way to manage CA patients in the outpatient setting.

A COVID-19 Airway Management Innovation with Pragmatic Efficacy Evaluation: The Patient Particle Containment Chamber.

The unique resource constraints, urgency, and virulence of the coronavirus disease 2019 pandemic has sparked immense innovation in the development of barrier devices to protect healthcare providers from infectious airborne particles generated by patients during airway management interventions. Of the existing devices, all have shortcomings which render them ineffective and impractical in out-of-hospital environments. Therefore, we propose a new design for such a device, along with a pragmatic evaluation of its efficacy. Must-have criteria for the device included: reduction of aerosol transmission by at least 90% as measured by pragmatic testing; construction from readily available, inexpensive materials; easy to clean; and compatibility with common EMS stretchers. The Patient Particle Containment Chamber (PPCC) consists of a standard shower liner draped over a modified octagonal PVC pipe frame and secured with binder clips. 3D printed sleeve portals were used to secure plastic sleeves to the shower liner wall. A weighted tube sealed the exterior base of the chamber with the contours of the patient's body and stretcher. Upon testing, the PPCC contained 99% of spray-paint particles sprayed over a 90s period. Overall, the PPCC provides a compact, affordable option that can be used in both the in-hospital and out-of-hospital environments.

Current therapies under investigation for covid-19: Potential covid-19 treatments

In response to the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), researchers are expeditiously searching for antiviral treatments able to alleviate the symptoms of infection, which can be life-threatening. Here, we provide a general overview of what is currently known about the structure and characteristic features of SARS-CoV-2, some of which could potentially be exploited for the purposes of antiviral therapy and vaccine development. This minireview also covers selected and noteworthy antiviral agents/supportive therapy out of hundreds of drugs that are being repurposed or tested as potential treatments for COVID-19, the disease caused by SARS-CoV-2.