How local health departments use wastewater surveillance data for public health planning and intervention in New York State

Wastewater surveillance presents a novel data stream for local health departments to understand infectious disease risk in their communities. We conducted a survey of local health departments in New York State regarding their knowledge, attitudes, and practices toward wastewater surveillance of SARS-CoV-2. We further conducted in-depth interviews with a number of local health departments to identify specific use cases of wastewater surveillance data. Almost all survey respondents used wastewater surveillance data and reported advantages to wastewater surveillance data, with the most common use being the tracking of disease trends, followed by monitoring variants, detecting diseases early, and assessing public health interventions. Some counties were sharing wastewater surveillance data with hospitals, which use the data for planning purposes. Public health communication was the most commonly reported action taken from wastewater surveillance data. These findings highlight that local health departments generally have favorable attitudes toward wastewater surveillance. However, there is a need for continued training and support for local health departments to apply these data in their practice.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2025-08-19
DOI
https://doi.org/10.1186/s12889-025-24250-6
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How local health departments use wastewater surveillance data for public health planning and intervention in New York State

David A. Larsen, Yiquan Zhou, Michael C. Mahaney, Dustin Hill et al.
1 links
BMC Public Health
SARS-CoV-2 detection and testing
article

How local health departments use wastewater surveillance data for public health planning and intervention in New York State

David A. Larsen, Yiquan Zhou, Michael C. Mahaney, Dustin Hill, Bhavneet Walia, Yifan Zhu, Nan Yang, Nicole Pulido, Ainsley Mabel MacLachlan, James McGuire, Shailla Raymond, Mila Neyra
article en

Abstract

Wastewater surveillance presents a novel data stream for local health departments to understand infectious disease risk in their communities. We conducted a survey of local health departments in New York State regarding their knowledge, attitudes, and practices toward wastewater surveillance of SARS-CoV-2. We further conducted in-depth interviews with a number of local health departments to identify specific use cases of wastewater surveillance data. Almost all survey respondents used wastewater surveillance data and reported advantages to wastewater surveillance data, with the most common use being the tracking of disease trends, followed by monitoring variants, detecting diseases early, and assessing public health interventions. Some counties were sharing wastewater surveillance data with hospitals, which use the data for planning purposes. Public health communication was the most commonly reported action taken from wastewater surveillance data. These findings highlight that local health departments generally have favorable attitudes toward wastewater surveillance. However, there is a need for continued training and support for local health departments to apply these data in their practice.

BMC Public HealthVol. 25(1)
New York State Department of Health (US), Center for Environmental Health (US), CDC Foundation (US), Syracuse University (US)
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention Foundation, Centers for Disease Control and Prevention
Clean water and sanitation
Openalex Percentile: Top 74%
SARS-CoV-2 detection and testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.