RAND Corporation, Arlington, VA, USA.
RAND Corporation, Santa Monica, VA, USA.
Sci Rep. 2024 Nov 22;14(1):28935. doi: 10.1038/s41598-024-79952-5.
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 (95% prediction interval: 136-169) to 134 (124-144) per 100,000 population during the first year of a new COVID-19-like pandemic, resulting in a net monetary benefit of $1,450 ($609-$2,740) 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.
环境采样监测(ESS)技术,如废水基因组监测和空气传感器,在 COVID-19 大流行期间被越来越多地采用,为公共卫生应对提供了有价值的信息。然而,ESS 的覆盖范围并不普遍,公共卫生决策者需要支持来决定是否以及如何扩大和维持 ESS 工作。本文介绍了一种模型和方法,用于量化提供大流行应对领先流行病学指标的 ESS 系统的价值。我们使用 COVID-19 大流行作为基准情况,量化了新大流行第一年 ESS 系统的价值,并展示了 ESS 系统的价值如何取决于生物和社会参数。在基线假设下,与症状监测相比,提供 5 天提前预警的 ESS 系统可以将新的 COVID-19 样大流行第一年的每 10 万人死亡人数从 149 人(95%预测区间:136-169)减少到 134 人(124-144),从而为每个人带来 1450 美元(609-2740 美元)的净货币收益。对于传染性和致命性更强的病原体,ESS 系统的价值更高,但取决于公共卫生干预措施的有效性。我们的研究结果还表明,即使 ESS 系统永久维持,并且像 SARS-Cov-2 这样的病原体每一百年或更短时间出现一次,它们也会提供净正收益。我们的研究结果可用于为 ESS 优先考虑病原体,决定是否以及如何将系统扩展到目前未覆盖的人群,并确定如何随着时间的推移扩大监测系统的覆盖范围。