Automatic Detection and Tracing : RFA-OD-20-014

• Diana Vanegas - Development of an Automated Diagnostic Platform for SARS-CoV-2 Monitoring in Vulnerable Areas
• John Cirrito - Nanobody-based Electrochemical Biosensor for Real-Time Detection of Aerosolized SARS-CoV-2
• Khalid Salaita - Rolosense: An Innovative Platform for Automatic Mobile Phone Readout of Active SARS-CoV-2 Particles
• Radislav Potyrailo - Minimal False-alarm Touch-based Detection of SARS-Cov-2 Virus Particles using Poly-aptamers
• Suzie Pun - Touchscreen-compatible, Real-Time Electrochemical Sensing of SARS-CoV-2
• Lu Peng - Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19

Chemosensory Testing : RFA-OD-20-022

• Daniel Tatar, Mark Albers - Longitudinal at Home Smell Testing to Detect Infection by SARS-CoV-2
• Pamela Dalton - SCENTinel: A Rapid Smell Test for COVID-19 Surveillance
• Steven Munger - Rapid Olfactory Tools for Telemedicine-friendly COVID-19 Screening and Surveillance

Chemosensory Testing : NOT-OD-20-152

• Susan Travers - A Confectionary-based Screening Tool for Assessing Chemosensory Loss in COVID-19 Patients

Exosome Based : RFA-OD-20-018

• Samarjit Das - Exosome-based Non-traditional Technologies Towards Multi-Parametric and Integrated Approaches for SARS-CoV-2
• Eduardo Reategui - Multi-parametric Integrated Molecular Detection of SARS-CoV-2 from Biofluids by Adapting Single Extracellular Vesicle Characterization Technologies
• Shannon Stott - Microfluidic Isolation and Characterization of SARS-CoV-2 and Virus Related Exosomes
• David Wong - AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies Detection

NIEHS Diagnostic/Prognostic RNAseq : Z01-ES100475

• Douglas Bell - Hyperplexed sample barcoded screening for SARS-CoV-2 by Next Generation Sequencing

Multimodal Surveillance : RFA-OD-20-016

• Michael Snyder - Multi-modal Wireless COVID Monitoring & Infection Alerts for Concentrated Populations
• Jesse Jokerst - Validation of Smart Masks for Surveillance of COVID-19
• Ka'imi A. Sinclair - Marshallese: Alternate Surveillance for COVID-19 in a Unique Population
• Yuedong Wang - Early Detection, Containment, and Management of COVID-19 in Dialysis Facilities Using Multi-Modal Data Sources

Novel Biosensing and VOC : NOT-OD-21-035, PA-20-272

• Edward DeMauro - A Rapid Breathalyzer Diagnostics Platform for COVID-19
• Jie Huang - MOF-SCENT: Metal-organic Frameworks for Screening COVID-19 by Electronic-Nose Technology to Improve Selectivity and Time Response
• Devin MacKenzie - Broad-spectrum Detection of VOC and Non-VOC Biomarkers from Patient Exhalant using Biomimetic Multiplexed eNose Biosensor for COVID-19 Diagnosis
• Hadi Shafiee - RADx-rad: A Rapid, Sensitive, Point-of-care, Antigen-based Diagnostics for SARS-CoV-2
• Selim Ünlü - Virus Counter: Rapid and Sensitive Diagnostics Based on Digital Detection of Individual Pathogens

Novel Biosensing and VOC : RFA-OD-20-020

• Erik Young - Direct Bioelectronic Detection of SARS-Cov-2 from Saliva using Singlemolecule Field-effect Transistor Array
• Mark Bobrow - A Scalable Aptamer-based Electrochemical Biosensor for Rapid Detection of SARS-Cov-2 from Saliva
• Xiaohu (Sherwood) Yao - Designer DNA Nanostructure Based Biosensing for Rapid COVID-19 Detection and Monitoring using Saliva Sample
• Mahmoud Nasr - A Rapid Saliva Antigen Test for SARS-CoV-2 Detection

Novel Biosensing and VOC : RFA-OD-20-021

• Roya Khosravi-Far - A Multimodal Platform for Oral Screening of COVID-19
• Tim Gordon - A SARS-CoV-2 Breathalyzer for Direct Virus Detection

PreVAIL kIds : RFA-OD-20-023

• Charles Yen Chiu - Discovery and Clinical Validation of Host Biomarkers of Disease Severity and Multi-System Inflammatory Syndrome in Children (MIS-C) with COVID-19
• Ananth Annapragada - AICORE-kids: Artificial Intelligence COVID-19 Risk AssEssment for kids
• Audrey Odom John - Diagnosis of MIS-C in Febrile Children
• Cedric Manlhiot - A Data Science Approach to Identify and Manage Multisystem Inflammatory Syndrome in Children (MIS-C) Associated with SARS-CoV-2 Infection and Kawasaki Disease (KD) in Pediatric Patients
• Lawrence Kleinman - COVID-19 Network of Networks Expanding Clinical and Translational Approaches to Predict Severe Illness in Children (CONNECT to Predict Sick Children)
• Jane Burns - Diagnosing and Predicting Risk in Children with SARS-CoV-2- Related Illness
• Juan Salazar - Identifying Biomarker Signatures of Prognostic Value for Multisystem Inflammatory Syndrome in Children (MIS-C)
• Usha Sethuraman - Severity Predictors Integrating Salivary Transcriptomics and Proteomics with Multi Neural Network Intelligence in SARS-CoV2 Infection in Children (SPITS MISC)

SCENT : RFA-OD-20-017

• Alan Johnson - Effective, Reagent-free Detection of the Odor Signature of Covid-19 Infection Using a Nano-Enabled Sensor Array
• Cristina Davis - Portable GC Detector for Breath-based COVID Diagnostics
• Xiao-An Fu - A Handheld Microchip for GC Analysis of Breath to Screen for COVID-19
• Xudong Fan - COVID-19 Detection through Scent Analysis with a Compact GC Device

Wastewater : RFA-OD-20-015

• Otakuye Conroy-Ben - Wastewater Analysis of SARS CoV-2 in Tribal Communities
• Anne-Catrin Uhlemann - Optimizing SARS-CoV-2 Wastewater Based Surveillance in Urban and University Campus Settings
• Helena Solo-Gabriele - Development and Proof-of-Concept Implementation of the South Florida Miami RADx-rad SARS-CoV-2 Wastewater-Based Surveillance Infrastructure
• James Keck - Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology
• Jeff Wenzel - Wastewater Detection of COVID-19
• John Michael Ramsey - Improved Scalability, Sensitivity, and Interpretability of Pathogen Detection, Including SARS-CoV-2, in Wastewater using High-Throughput, Highly Multiplexed Digital Array PCR Technology

Wastewater : PA-20-135

• Matthew Scotch - Bioinformatics Framework for Wastewater-based Surveillance of Infectious Diseases

Other :

• - no project