NLM DIR Seminar Schedule
UPCOMING SEMINARS
-
July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 8, 2025 Noam Rotenberg
TBD
RECENT SEMINARS
-
July 1, 2025 Yoshitaka Inoue
Graph-Aware Interpretable Drug Response Prediction and LLM-Driven Multi-Agent Drug-Target Interaction Prediction -
June 10, 2025 Aleksandra Foerster
Interactions at pre-bonding distances and bond formation for open p-shell atoms: a step toward biomolecular interaction modeling using electrostatics -
June 3, 2025 MG Hirsch
Interactions among subclones and immunity controls melanoma progression -
May 29, 2025 Harutyun Sahakyan
In silico evolution of globular protein folds from random sequences -
May 20, 2025 Ajith Pankajam
A roadmap from single cell to knowledge graph
Scheduled Seminars on April 6, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
In a pending pandemic, early knowledge of age-specific disease parameters, e.g., susceptibility, infectivity, and the clinical fraction of symptomatic cases, supports targeted public health responses like school closures or sequestration of the elderly. Using age-stratified COVID-19 case counts collected in six countries before April 23, 2020, we present a linear analysis of the exponential phase that attempts to estimate the age-specific disease parameters given above. Conclusions concerning the age-dependence of case susceptibility appeared more robust than corresponding conclusions about infectivity. The analysis produced some results consistent with conclusions confirmed much later in the COVID-19 pandemic.