Global.health: a scalable plaform for pandemic data integration, analytics, and preparedness (preprint)

We present Global.health, a scalable online platform for collecting high-dimensional epidemiological data and transforming those data into a consistent schema to enable distributed analyses. Global.health was originally developed to handle the demands of high-volume, accurate collection of epidemiological line list data in the early months of the COVID-19 pandemic. It has since proven amenable to rapid adjustment as collection of new variables became relevant, for example tracking variants of concern and vaccination status in COVID-19 cases, as well as clinical data. The Global.health platform is based on a microservices architecture deployed to the cloud. We discuss this architecture and the choices that motivated it, as well as the steps needed for an independent group to run their own copy of Global.health in their local environments. We describe the data governance challenges related to providing appropriate privacy to people in multiple jurisdictions while fulfilling the project’s goal to enable open data sharing and rapid science during health emergencies.

Integrated Optofluidic Sensor for Coagulation Risk Monitoring in COVID-19 Patients at Point-of-Care (preprint)

While the pathophysiology underlying the COVID-19 infection remains incompletely understood, there is growing evidence to indicate that it is closely correlated to hypercoagulation among severely ill patients. Doctors may choose for use anti-coagulation doses to treat the patients at intensive care units. A rapid, easy, and low-cost solution to monitor the coagulation status at the point-of-care may help with treatment by enabling the administration of controlled doses of medication to patients and to understand the disease's underlying pathophysiology. Thromboelastography, the clinical standard is accurate; it suffers from limited portability and low sensitivity when miniaturized to handheld form factor. In the article, we summarize research helping to advance towards an integrated optofluidic device combining microfluidics and photonic sensor technology. Microfluidics are used to perform blood pre-processing, and a photonic sensor measures blood coagulation status in real-time readout on the device itself. These techniques make it portable and scalable, potentially serving as technology foundation for the development of a disposable sensor for point-of-care diagnostics in COVID-19 patients and coagulopathy in general.