The MIDAS Webinar Series features research by MIDAS members, and is open to the public.
Date: Friday, July 27, 2024
Speaker: Pedro Nascimento de Lima, PhD
Topic: The Value of Environmental Surveillance for Pandemic Response
Abstract: Environmental sampling surveillance (ESS) technologies, such as wastewater genomic surveillance and air sensors, have been increasingly adopted during the COVID-19 pandemic to provide valuable information for public health response. However, ESS coverage is not universal, and public health decision-makers need support to choose whether and how to expand and sustain ESS efforts. This paper introduces a model and approach to quantify the value of ESS systems that provide leading epidemiological indicators for pandemic response. Using the COVID-19 pandemic as a base-case scenario, we quantify the value of ESS systems in the first year of a new pandemic and demonstrate how the value of ESS systems depends on biological and societal parameters. Under baseline assumptions, an ESS system that provides a 5-day early warning relative to syndromic surveillance could reduce deaths from 149 to 132 per 100,000 population during the first year of a new COVID-19-like pandemic, resulting in a net monetary benefit of $1,620 per person. The system’s value is higher for more transmissible and deadly pathogens but hinges on the effectiveness of public health interventions. Our findings also suggest that ESS systems would provide net-positive benefits even if they were permanently maintained and pathogens like SARS-Cov-2 emerged once every century or less frequently. Our results can be used to prioritize pathogens for ESS, decide whether and how to expand systems to currently uncovered populations, and determine how to scale surveillance systems’ coverage over time.
Pre-print: https://www.rand.org/pubs/working_papers/WRA3263-1.html
Code: https://github.com/RANDCorporation/value-of-env-surveillance
Bio:
Pedro Nascimento de Lima is an associate engineer at RAND and a professor at the Pardee RAND Graduate School. His research focuses on using computational models to inform complex policy decisions, particularly in situations characterized by deep uncertainty. At RAND, Nascimento de Lima’s research spans multiple domains, including pandemic response strategies, optimization of cancer screening recommendations, and policies to address racial wealth disparities in the United States.