# West African Emerging Infectious Disease Research Center (WA-EIDRC)

> **NIH NIH U01** · SCRIPPS RESEARCH INSTITUTE, THE · 2022 · $358,571

## Abstract

Project Summary/Abstract:
Despite bearing a high burden of infectious diseases, Sierra Leone lacks a suitable system for
surveillance and outbreak response to emerging and existing pathogens. Through additional
support and funding, WARN-ID will be able to not only implement a high-throughput, multi-
analyte diagnostic testing platform as part of a comprehensive national surveillance system, but
also build local capacity for continued testing during outbreaks of SARS-CoV-2, its variants,
and other diseases like Lassa fever, Ebola, and malaria, which is the leading cause of death
and illness in Sierra Leone. The data that is generated from mCARMEN will be used to obtain
clinical validation and regulatory approval from the Pharmacy Board of Sierra Leone, as well as
inform future scale-up and integration into data visualization platforms beyond the scope of this
award. Further, developing the appropriate infrastructure to respond to COVID-19 and other
pathogenic threats will impact the country’s future ability to identify and respond to potential
outbreaks, by helping to lay the groundwork for a robust, sustainable public health
infrastructure able to detect emerging and reemerging pathogens and their variants.

## Key facts

- **NIH application ID:** 10631738
- **Project number:** 3U01AI151812-03S1
- **Recipient organization:** SCRIPPS RESEARCH INSTITUTE, THE
- **Principal Investigator:** Kristian Graugaard Andersen
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $358,571
- **Award type:** 3
- **Project period:** 2020-05-21 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10631738

## Citation

> US National Institutes of Health, RePORTER application 10631738, West African Emerging Infectious Disease Research Center (WA-EIDRC) (3U01AI151812-03S1). Retrieved via AI Analytics 2026-06-24 from https://api.ai-analytics.org/grant/nih/10631738. Licensed CC0.

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