# Center for Viral Systems Biology (CViSB)

> **NIH AI U19** · SCRIPPS RESEARCH INSTITUTE, THE · 2026 · $2,565,260

## Abstract

Project Summary - Center for Viral Systems Biology (CViSB)
The COVID-19 pandemic is a stark reminder of the threat posed by infectious diseases, but other priority
pathogens, such as Lassa and Ebola viruses, continue to pose signiﬁcant challenges in endemic areas.
Infection with Lassa, Ebola, and SARS-CoV-2 viruses can lead to diverse acute and long-term outcomes,
ranging from mild or asymptomatic disease to long-term sequelae or death. When we established the
Center for Viral Systems Biology (CViSB, cvisb.org) in 2018, we set a main goal of answering why. With a
focus on Ebola, Lassa, and via a scope expansion, COVID-19, we have achieved this goal by identifying
clinical, immunological, genetic, and virus molecular factors that determine the outcome of disease.
In this renewal application, we will move beyond standard systems biology data generation and analysis
and use a reverse translational approach to expand on our prior work with a focus on both fundamental
research and translational application. Our central hypothesis remains that complex networks of viral
and human factors, including distinct clinical, immunological, genetic, virological, and physiological
attributes play key roles in determining the outcome and spread of Lassa, Ebola, and COVID-19. Our
overall goal is to identify these molecular networks and provide a deep system-level understanding of the
virus, host, and environmental drivers of disease severity and spread to discover predictive markers of
human disease. We will successfully achieve this goal by applying ‘omics’ technologies, wearables, and
high-throughput experimental approaches to unique patient, vaccinee, and survivor cohorts in West
Africa and the United States. Built around two interconnected projects and four cores, we will complete
the following major goals: (1) we will integrate complex systems immunology, host genetic, physiological,
clinical, and metabolic datasets to perform predictive modeling and deﬁne biosignatures that desc

## Key facts

- **NIH application ID:** 11289299
- **Project number:** 5U19AI135995-09
- **Recipient organization:** SCRIPPS RESEARCH INSTITUTE, THE
- **Principal Investigator:** Kristian Graugaard Andersen
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** AI
- **Fiscal year:** 2026
- **Award amount:** $2,565,260
- **Award type:** 5
- **Project period:** 2018-02-01T00:00:00 → 2028-01-31T00:00:00

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11289299

## Citation

> US National Institutes of Health, RePORTER application 11289299, Center for Viral Systems Biology (CViSB) (5U19AI135995-09). Retrieved via AI Analytics 2026-05-18 from https://api.ai-analytics.org/grant/nih/11289299. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
