Modeling intervention strategies for containing Covid-19 in Nursing homes with digital contact tracing

Speaker: Ilyssa Summer

Date: Mon, Jun 22, 2020

Location: Zoom

Conference: CAIMS - PIMS Coronavirus Modelling Conference

Subject: Mathematics, Mathematical Biology

Class: Scientific

Abstract:

Contact tracing is a key initiative in public health to contain Covid-19. At CarePredict, Inc., we developed a real-time digital contact tracing system that Long Term Care (LTC) facilities can use to rapidly identify and contain exposed, asymptomatic and symptomatic COVID-19 contacts. An SEIR deterministic model was developed to compare traditional and digital intervention methods for contact tracing in LTC Facilities. Data from our LTC facilities, skilled nursing homes, and nursing home data of residents affected by Covid-19, is utilized to form our parameter estimates and to inform the projections of the impact of contact tracing interventions. The model quantifies infection spread comparing across symptom tracing, manual contact tracing, PCR testing, and digital contact tracing in a nursing home setting. We computed the reproductive number per intervention type and compare parameter sensitivity to the base model to understand key components that can reduce spread.