TY - JOUR
T1 - Establishing a StatewideWastewater Surveillance System in Response to the COVID-19 Pandemic
T2 - A Reliable Model for Continuous and Emerging Public Health Threats
AU - New York StateWastewater Surveillance Network Team
AU - Neyra, Milagros
AU - Hill, Dustin T.
AU - Bennett, Lydia J.
AU - Dunham, Christopher N.
AU - Larsen, David A.
AU - Alazawi, Mohammed A.
AU - Bedard, Brenden A.
AU - Bradley, Ian
AU - Carter, Keylia T.
AU - Collins, Mary
AU - Fehrman, Austin
AU - Furness, Keri A.
AU - Gobler, Christopher J.
AU - Godinez, Alejandro
AU - Green, Hyatt
AU - Hampston, Edward
AU - Hanson, Brianna
AU - Insaf, Tabassum Z.
AU - Kappus-Kron, Haley R.
AU - Kmush, Brittany L.
AU - Lang, Daniel
AU - Moran, E. Joe
AU - Neigel, Dana
AU - Nojeim, Emily A.
AU - Pulido, Nicole
AU - Raymond, Shailla J.
AU - Wang, Mian
AU - Willkens, Megan A.
AU - Ye, Yinyin
N1 - Publisher Copyright:
© 2023 The Authors. Published by Wolters Kluwer Health, Inc.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - Context: The COVID-19 pandemic sparked efforts across the globe to implement wastewater surveillance for SARS-CoV-2. Program: New York State (NYS) established the NYSWastewater Surveillance Network to estimate the levels of COVID-19 community risk and to provide an early indication of SARS-CoV-2 transmission trends. The network is designed to provide a better understanding of public health burdens and to assist health departments to respond effectively to public health threats. Implementation: Wastewater surveillance across NYS increased from sporadic and geographically spare in 2020 to routine and widespread in 2022, reaching all 62 counties in the state and covering 74%of New Yorkers. The network team focused on engaging local health departments and wastewater treatment plants to provide wastewater samples, which are then analyzed through a network-affiliated laboratory. Both participating local health departments and wastewater treatment plants receive weekly memos on current SARS-CoV-2 trends and levels. The data are also made publicly available at the state dashboard. Evaluation: Using standard indicators to evaluate infectious disease surveillance systems, the NYS Wastewater Surveillance Network was assessed for accuracy, timeliness, and completeness during the first year of operations. We observed 96.5% sensitivity of wastewater to identify substantial/high COVID-19 transmission and 99% specificity to identify low COVID-19 transmission. In total, 80% of results were reported within 1 day of sample collection and were published on the public dashboard within 2 days of sample collection. Among participating wastewater treatment plants, 32.5% provided weekly samples with zero missing data, 31% missed 1 or 2 weeks, and 36.5% missed 3 or more weeks. Discussion: The NYS Wastewater Surveillance Network continues to be a key component of the state and local health departments’ pandemic response. The network fosters prompt public health actions through real-time data, enhancing the preparedness capability for both existing and emerging public health threats.
AB - Context: The COVID-19 pandemic sparked efforts across the globe to implement wastewater surveillance for SARS-CoV-2. Program: New York State (NYS) established the NYSWastewater Surveillance Network to estimate the levels of COVID-19 community risk and to provide an early indication of SARS-CoV-2 transmission trends. The network is designed to provide a better understanding of public health burdens and to assist health departments to respond effectively to public health threats. Implementation: Wastewater surveillance across NYS increased from sporadic and geographically spare in 2020 to routine and widespread in 2022, reaching all 62 counties in the state and covering 74%of New Yorkers. The network team focused on engaging local health departments and wastewater treatment plants to provide wastewater samples, which are then analyzed through a network-affiliated laboratory. Both participating local health departments and wastewater treatment plants receive weekly memos on current SARS-CoV-2 trends and levels. The data are also made publicly available at the state dashboard. Evaluation: Using standard indicators to evaluate infectious disease surveillance systems, the NYS Wastewater Surveillance Network was assessed for accuracy, timeliness, and completeness during the first year of operations. We observed 96.5% sensitivity of wastewater to identify substantial/high COVID-19 transmission and 99% specificity to identify low COVID-19 transmission. In total, 80% of results were reported within 1 day of sample collection and were published on the public dashboard within 2 days of sample collection. Among participating wastewater treatment plants, 32.5% provided weekly samples with zero missing data, 31% missed 1 or 2 weeks, and 36.5% missed 3 or more weeks. Discussion: The NYS Wastewater Surveillance Network continues to be a key component of the state and local health departments’ pandemic response. The network fosters prompt public health actions through real-time data, enhancing the preparedness capability for both existing and emerging public health threats.
KW - health security
KW - infectious disease surveillance
KW - pandemic preparedness
KW - wastewater surveillance
UR - http://www.scopus.com/inward/record.url?scp=85172423826&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85172423826&partnerID=8YFLogxK
U2 - 10.1097/PHH.0000000000001797
DO - 10.1097/PHH.0000000000001797
M3 - Article
C2 - 37566797
AN - SCOPUS:85172423826
SN - 1078-4659
VL - 29
SP - 854
EP - 862
JO - Journal of Public Health Management and Practice
JF - Journal of Public Health Management and Practice
IS - 6
ER -