Publications by authors named "Steve S Di Lonardo"
Article Synopsis
- Wide-scale genome sequencing of SARS-CoV-2 is essential for tracking how the virus evolves during the pandemic.
- A new software tool called Variant Database (VDB) has been developed to analyze changes in spike mutations, leading to the identification of a new lineage, B.1.526, in New York.
- The B.1.526 lineage has mutations that may weaken the effectiveness of vaccines and natural immunity, which potentially impacted the duration of the second wave of COVID-19 cases.
Article Synopsis
- Wide-scale genome sequencing of SARS-CoV-2 is crucial for tracking viral changes, especially as new variants from places like the UK, South Africa, and Brazil spread globally.
- Researchers developed a software tool called Variant Database (VDB) to quickly analyze mutations in the virus's spike protein, which is key for its entry into cells.
- They identified a new lineage, B.1.526, in New York that showed a significant increase from <1% in late November 2020 to ~32% by February 2021, and this lineage's spike mutations may reduce the effectiveness of vaccines and convalescent plasma.
Poorly Controlled Diabetes in New York City: Mapping High-Density Neighborhoods.
J Public Health Manag Pract
September 2018
Objective: To identify geographic areas in New York City (NYC) for implementing programming focused on reducing the burden attributed to poor glycemic control and improving the health of New Yorkers.
Design: We geocoded addresses of NYC residents in the NYC Hemoglobin A1c (HbA1C) Registry with high (>9%) HbA1c test values from 2011 to 2013 on an NYC base map. The ArcGIS point density spatial analysis tool was applied to create a map of NYC residents with diabetes in poor glycemic control.