NIH Research Festival
Well-designed observational studies have a tremendous capability to improve early epidemic response because of the speed at which they can be initiated, lack of experimental interventions, and potential to contribute large amounts of pooled data. Currently, no widely standardized protocol exists for nonrandomized observational data collection during early epidemics. This lack of consistency leads to variable data that often influences larger clinical trials or public health policy. Standardized data collection methods would improve our understanding of early epidemics, empowering public health officials and communities to respond more effectively and fairly.‚ÄØ
To do this, we first need to understand the current landscape of data collection in observational studies early in epidemics, including specifics about study design and the quality and timing of reported evidence. We will do this by conducting a scoping literature review to map and characterize observational data collection methods that have been employed during outbreaks of SARS-CoV-1, H1N1, Zika virus, and Ebola declared by the WHO between 2000-2019. Specifically, we will evaluate all peer-reviewed literature published in the first 12 months from an outbreak‚Äôs start date (as defined by the WHO Emergency Disease Outbreak Network), as well as grey literature from reputable targeted sources. We will then attempt to quantify the policy and community impact of the methods and their limitations, and identify potential areas for improvement. Our aim is to comprehensively understand how data was collected, its quality, and its impact in the early phase of these selected epidemics.
Scientific Focus Area: ACI/IRS
This page was last updated on Monday, September 25, 2023