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Snowball

An integrated cloud platform for respondent-driven sampling

The project

Facing uncontained spread of the SARS-CoV-2 infection in North Carolina, the Snowball study was designed around the urgent need to diagnose cases, calculate the prevalence of the disease, and understand its spread or distribution. Simple random sampling techniques typically used to ascertain distribution and prevalence of disease were not practically feasible due to multiple unknowns around transmission, limited testing capacity, and an inability to obtain sufficient sample size.

The Snowball study’s approach proposed utilization of a form of network-targeted sampling design, respondent-driven sampling (RDS), which leverages effort on the part of index or “seed” cases to recruit contacts for participation. Simply, seed cases are provided unique one-time-use coupons for testing that they can distribute to contacts. The contacts may decide they want to ‘redeem’ the coupons for COVID-19 testing by presenting to a research coordinator, enrolling in the study, and obtaining their test. This sampling method can therefore “snowball” out into a community.

Learn more about the Snowball Study >>

The Product

Critical to the realization of the Snowball study, Crucible developed an integrated cloud platform to manage the recruitment, enrollment, and management of study candidates and their data. As part of every phase of the study’s design, proposal, and implementation, Crucible has been able to frequently iterate on the product in order to respond to ever-evolving needs of a project being done in unprecedented circumstances.

Snowball v 1.x is designed to work within the current Duke Clinical Research Model. The Snowball platform links eligible participants identified through positive lab results in the EHR at Duke Hospitals to REDCap consent and electronic data capture (EDC), to Snowball which delivers, stores, and connects “coupons” across participants. 

Snowball provides the integrated data for the data management team to extract and analyze in the statistical tool of their choice. Amazon Web Services is the cloud provider for v 1.0 and, through the use of a virtual private cloud, is approved by Duke Health Security Office to store PHI. Since the initial delivery, the product and study teams have worked closely to refine the operational workflow.

snowball v1 dashboard
Snowball v1.x Dashboard

Features

Structure

Snowball v 1.x is built to enable identification of and contact with people who many have been exposed to SARS-C0V-2 (COVID-19). The application sends coupons (unique four-word combinations) to invite seed cases (identified via diagnosis in DUHS EHR data and matching study-specific inclusion criteria). After enrollment via coupon redemption, coupons are distributed to study-qualifying peers identified by the seed participant.

Snowball v 1.x is architected in AWS Virtual Private Cloud (Amazon VPC) with separate subnets for different application tiers and private (back-end) subnets for application and database. This Multi-AZ architecture helps ensure high availability. The application stack uses Amazon VPC security groups for Amazon EC2 instances and load balancers, which limit access to only necessary services. Data is encrypted in transit from its entry point via the Duke F5 firewall, through to the application running in AWS Fargate. 

Integrated emergency procedures are implemented to watch errors in real time. Amazon CloudWatch sends notification via email to the product support team to immediately resolve urgent, critical application issues. 

Duke University IRB protocol number Pro00105430 | Network-Targeted Sampling Principal Investigator: Erich Huang, MD, PhD | RDS2 Principal Investigator: Dana Pasquale, MPH, PhD