# Core B:  Data Management and Statistics

> **NIH NIH P01** · UNIVERSITY OF RHODE ISLAND · 2020 · $184,642

## Abstract

Abstract
 The major function of the Data Management and Analysis Core will be to support the data
analytic needs of all three projects. Data that the research projects will generate traverses a number of
scales from within host to data describing dengue disease at village, district and province scales. Data
generated by the research projects also encompasses a number of different fields of scientific inquiry
from clinical infectious disease to immunology to virology to entomology. The Core will provide support to
individual research projects in the management of data generated. The Data Management and Analysis
Core will be led by Dr. Derek Cummings at the University of Florida and include Dr. Rodriguez-Barraquer
at the University of California San Francisco. The specific aims of the Data Management and Analysis
Core are to provide support to individual projects in each phase of their execution from design to conduct
to analysis. Members of the analysis core will regularly communicate with project investigators to develop
specific plans for the collection, entry, security, quality control, storage, formatting, and backup of data
from each project. The Core has and will continue to provide consultation on the design of studies.
Feedback on the success of individual elements and the consistency with assumptions at the design
phase will be assessed in an ongoing manner. The Core will assist in analyses in each of the projects
individually and facilitate integrative analyses that include data from multiple projects. The Core will also
develop and utilize novel methods in four major areas of analysis: 1) studies of transmission dynamics
utilizing sequence data 2) spatial and temporal studies of the transmission of dengue using mechanistic
models and statistical models that can account for spatial and temporal clustering of observations 3)
mechanistic and phenomenological models of within-host processes including immune-dynamics and
virus dynamics 4) imputation and data augmentation approaches to expand collected data in order to
characterize the uncertainty associated with unobserved aspects of the transmission and infection.

## Key facts

- **NIH application ID:** 9980771
- **Project number:** 5P01AI034533-28
- **Recipient organization:** UNIVERSITY OF RHODE ISLAND
- **Principal Investigator:** Derek A Cummings
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $184,642
- **Award type:** 5
- **Project period:** 1997-01-01 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9980771

## Citation

> US National Institutes of Health, RePORTER application 9980771, Core B:  Data Management and Statistics (5P01AI034533-28). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9980771. Licensed CC0.

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