PP414 [Healthcare systems » Telemedicine]: A DIGITAL DYNAMIC APPROACH TO DETECT, ATTENUATE, OR PREVENT NEUROCOGNITIVE, EMOTIONAL, AND PSYCHOSOCIAL PROBLEMS IN NEONATES EXPOSED TO COVID-19 DURING GESTATION USING SMARTPHONE-BASED DATA ACQUISITION

Abstract

An integrated multi-dimensional model for the digital follow up of mothers and neonates exposed to Sars-Cov-2 A. Creation of individual networks based on data from different dimensions, clinical, biological, social, and behavioral characteristics that define the risk of both mother and child. The circles represent signs, symptoms and factors related to the domains of data collection B. Development of dynamic networks to monitor change over time in network organization and connectivity aimed at identifying windows of vulnerability and resilience. C. Dynamic network analysis. D. Digital phenotyping over time (green, blue, and purple). The red lines represent the connections among signs, symptoms, and factors; Letters and colors refer to those shown in the figure.