Alexander J. Robertson
A5052559800- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Biosensors and Analytical Detection
- Advanced Statistical Methods and Models
- Animal Virus Infections Studies
- Scottish History and National Identity
- Historical Economic and Social Studies
- Machine Learning in Healthcare
- Viral gastroenteritis research and epidemiology
- Immunodeficiency and Autoimmune Disorders
- Sparse and Compressive Sensing Techniques
- Long-Term Effects of COVID-19
- Energy Efficient Wireless Sensor Networks
- Fault Detection and Control Systems
- Optimization and Search Problems
- Indoor and Outdoor Localization Technologies
- Guidance and Control Systems
- Tuberculosis Research and Epidemiology
- Metabolomics and Mass Spectrometry Studies
Yale University
2021-2022
TRW Automotive (United States)
2001
Colorado State University
1995
University of British Columbia
1965
Abstract SARS-CoV-2 remdesivir resistance mutations have been generated in vitro but not reported patients receiving treatment with the antiviral agent. We present a case of an immunocompromised patient acquired B-cell deficiency who developed indolent, protracted course infection. Remdesivir therapy alleviated symptoms and produced transient virologic response, her was complicated by recrudescence high-grade viral shedding. Whole genome sequencing identified mutation, E802D, nsp12...
As Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to spread, characterization of its antibody epitopes, emerging strains, related coronaviruses, and even the human proteome in naturally infected patients can guide development effective vaccines therapies. Since traditional epitope identification tools are dependent upon pre-defined peptide sequences, they not readily adaptable diverse viral proteomes. The Serum Epitope Repertoire Analysis (SERA) platform leverages a...
Abstract Background The benefit of vaccination in people who experienced a prior SARS-CoV-2 infection remains unclear. Objective To estimate the effectiveness primary (two-dose) and booster (third dose) against Omicron among with documented infection. Design Test-negative case-control study. Setting Yale New Haven Health System facilities. Participants Vaccine eligible received RT-PCR testing between November 1, 2021, January 31, 2022. Measurements We conducted two analyses, each an outcome...
Background The benefit of primary and booster vaccination in people who experienced a prior Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection remains unclear. objective this study was to estimate the effectiveness (two-dose series) (third dose) mRNA against Omicron (lineage BA.1) among with documented infection. Methods findings We conducted test-negative case–control reverse transcription PCRs (RT-PCRs) analyzed TaqPath (Thermo Fisher Scientific) assay recorded Yale New...
Abstract Over the last century, outbreaks and pandemics have occurred with disturbing regularity, necessitating advance preparation large-scale, coordinated response. Here, we developed a machine learning predictive model of disease severity length hospitalization for COVID-19, which can be utilized as platform future unknown viral outbreaks. We combined untargeted metabolomics on plasma data obtained from COVID-19 patients (n = 111) during healthy controls 342), clinical comorbidity 508) to...
Abstract SARS-CoV-2 remdesivir resistance mutations have been generated in vitro but not reported patients receiving treatment with the antiviral agent. We present a case of an immunocompromised patient acquired B-cell deficiency who developed indolent, protracted course infection. Remdesivir therapy alleviated symptoms and produced transient virologic response, her was complicated by recrudescence high-grade viral shedding. Whole genome sequencing identified mutation, E802D, nsp12...
The Centers for Disease Control and Prevention recommends serial rapid antigen assay collection within congregate facilities. Although modeling observational studies from communities long-term care facilities have shown provides adequate sensitivity specificity, the accuracy correctional remains unknown.Using Connecticut Department of Correction data 21 November 2020 to 15 June 2021, we estimated a assay, BinaxNOW (Abbott), under 3 strategies: single test 2 tests separated by 1-4 days....
Large classes of data association problems in multiple hypothesis tracking applications involving and single sensor systems can be formulated as multidimensional assignment problems. Lagrangian relaxation methods have been shown to solve these the noise level problem real-time, especially for dense scenarios scans from sensors. This work presents a new class algorithms that circumvent some shortcomings previous algorithms. The computational complexity is via numerical examples linear number...
Large classes of data association problems in multiple hypothesis tracking applications, including sensorfusion, can be formulated as multidimensional assignment problems. Lagrangian relaxation methods have beenshown to solve these the noise level problem real-time, especially for dense scenarios andfor scans from sensors. This work presents a new class algorithms that circumventthe difficulties similar previous algorithms. The computational complexity is shownvia some numerical examples...
Abstract Background The CDC recommends serial rapid antigen assay collection within congregate facilities for screening and outbreak testing. Though modeling observational studies from community long-term care have shown provides adequate sensitivity specificity, the diagnostic accuracy of this testing strategy correctional remains unknown. Methods Using Connecticut Department Corrections (DOC) data November 21 st 2020 to June 15 th 2021, we estimated a assay, BinaxNOW, under three...