# Publications & Abstracts

## REVEAL, a prospective, observational study
**Authors:** Elizabeth A. Griffiths, Jae S. Min, Wei-Nchih Lee, Jeffrey C. Yu, Yogesh Patel, Karl-Johan Myren, & David Dingli  
**Source:** BMC Part of Springer Nature  
**Date:** August 9, 2024  
**Summary:** Evidation and partners aimed to examine the impact of paroxysmal nocturnal hemoglobinuria (PNH) and its treatment on patients’ daily lives by combining patient-reported outcomes with wearable technology.

## Behavioral Engagement and Activation Model Study (BEAMS)
**Authors:** John D Piette, Keni C S Lee, Hayden B Bosworth, Diana Isaacs, Christian J Cerrada, Raghu Kainkaryam, Jan Liska, Felix Lee, Adee Kennedy, David Kerr  
**Source:** Translational Behavioral Medicine  
**Date:** July 2, 2024  
**Summary:** Evidation and Sanofi partnered to look at Type 2 Diabetes patients with and without digital health technology (DHT) use to understand who might require more tailored support to adopt DHTs.

## Patient and physician perspectives on the use of a connected ecosystem for diabetes management: International cross-sectional observational study
**Authors:** Elizabeth Benito-Garcia, Julio Vega, Eric J Daza, Wei-Nchih Lee, Adee Kennedy, Jean-Marc Chantelot  
**Source:** JMIR Formative Research  
**Date:** November 30, 2023  
**Summary:** Evidation and Sanofi partnered to understand which type 2 diabetes patients are more likely to participate in and benefit from connected ecosystem programs.

## Association of digital measures and self-reported fatigue
**Source:** Frontiers in Digital Health  
**Date:** June 22, 2023  
**Summary:** Evidation contributed to research that looked at whether or not multimodal digital data can be used to quantify fatigue in both healthy individuals and individuals with chronic inflammatory rheumatic disease.

## Characterization of influenza-like Illness burden using commercial wearable sensor data and patient-reported outcomes: Mixed methods cohort study
**Authors:** Victoria Hunter, Allison Shapiro, Devika Chawla, Faye Drawnel, Ernesto Ramirez, Elizabeth Phillips, Sara Tadesse-Bell, Luca Foschini, Vincent Ukachukwu  
**Source:** JMIR Publications  
**Date:** March 24, 2023  
**Summary:** Evidation research aimed to characterize the burden of influenza-like illness using commercial wearable sensor data and investigate the extent to which these data correlate with self-reported illness severity and duration.

## Machine learning COVID-19 detection from wearables
**Authors:** Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg  
**Source:** The Lancet Digital Health  
**Date:** March 24, 2023  
**Summary:** Evidation research looks into which criteria must be met before a study can claim reasonable COVID-19 detection performance using data from wearable devices.

## Precision recruitment for high-risk participants in a COVID-19 cohort study
**Authors:** Mezlini A, Caddigan E, Shapiro A, Ramirez E, Kondow-McConaghy H, Yang J, DeMarco K, Naraghi-Arani P, Foschini L  
**Source:** ScienceDirect  
**Date:** March 14, 2023  
**Summary:** Evidation describes an approach for reducing recruiting time and resources in a COVID-19 study by targeting recruitment to high-risk individuals.

## American Life in Realtime: A benchmark registry of health data for equitable precision health
**Authors:** Ritika R. Chaturvedi, Marco Angrisani, Wendy M. Troxel, Tania Gutsche, Eva Ortega, Monika Jain, Adrien Boch & Arie Kapteyn  
**Source:** Nature Medicine  
**Date:** February 3, 2023  
**Summary:** ALiR, funded by a grant from the NIH, is a first-of-its-kind, publicly available benchmark registry and research infrastructure for person-generated health data collected from smartphones and wearables, made possible by Evidation.

## Predictors of seeking care for influenza-like illness in a novel digital study
**Authors:** Devika Chawla, Alejandra Benitez, Hao Xu, Victoria Whitehill, Sara Tadesse-Bell, Allison Shapiro, Ernesto Ramirez, Kelly Scherer, Luca Foschini, Faye Drawnel, Barry Clinch, Marco Prunotto, Vincent Ukachukwu  
**Source:** Open Forum Infectious Diseases  
**Date:** December 22, 2022  
**Summary:** Evidation conducted a study that used person-generated health data (PGHD) to identify factors associated with seeking care for ILI.

## COVID-19 real-world evidence primer
**Authors:** Amy Cavet, Claire Cravero, MPH, Aaron Galaznik, MD, Bray Patrick-Lake, MFS, Aniketh Talwai  
**Source:** The Reagan-Udall Foundation for the FDA  
**Date:** September 23, 2022  
**Summary:** Evidation contributed to this online resource consisting of seven chapters that cover types of RWD, methods in RWE generation, examples of RWE studies, and more.