Beyond campus borders: wastewater surveillance sheds light on university COVID-19 interventions and their community impact

被引:0
|
作者
Lisboa, David [1 ]
Kaya, Devrim [1 ,2 ,3 ]
Harry, Michael [1 ]
Kanalos, Casey [1 ]
Davis, Gabriel [1 ]
Hachimi, Oumaima [1 ]
Jaaf, Shana [1 ]
Mickle, David [1 ]
Alegre, Dana [4 ]
Carter, Katherine [4 ]
Carrell, Steven [4 ]
Dasenko, Mark [4 ]
Davidson, Nathan [4 ]
Elser, Justin [4 ]
Geniza, Matthew [4 ]
Girard, Anne-Marie [4 ]
Kronmiller, Brent [4 ]
Peterson, Matthew [4 ]
Zepeda, Elizabeth [4 ]
Kelly, Christine [1 ]
Radniecki, Tyler S. [1 ]
机构
[1] Oregon State Univ, Sch Chem Biol & Environm Engn, Corvallis, OR 97331 USA
[2] San Diego State Univ, Sch Publ Hlth, San Diego, CA USA
[3] San Diego State Univ, SDSU 4, San Diego, CA USA
[4] Oregon State Univ, Ctr Quantitat & Life Sci, Corvallis, OR USA
关键词
D O I
10.1039/d4ew00168k
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The evaluation of COVID-19 policy effectiveness on university campuses, particularly in mitigating spread to neighboring cities (i.e., "campus spill-over"), is challenging due to asymptomatic transmission, biases in case reporting, and spatial case reporting limitations. Wastewater surveillance offers a less biased and more spatially precise alternative to conventional clinical surveillance, thus providing reliable data for university COVID-19 policy evaluation. Wastewater surveillance data spanning the academic terms from Fall 2020 through Spring 2022 was used to evaluate the impact of university COVID-19 policies. During the campus closure to external visitors (09/21/2020-9/15/2021), campus viral concentrations and variant compositions were dissimilar from those of the host and neighboring cities (MAPE = 0.25 +/- 0.14; Bray-Curtis = 0.68 +/- 0.1, respectively), indicating relative isolation of the campus from its surroundings. Upon the campus reopening to visitors (9/15/2021-2/27/2022), the viral concentrations and variant compositions matched more closely with the host and neighboring cities (MAPE = 0.21 +/- 0.1; Bray-Curtis = 0.14 +/- 0.08, respectively). Furthermore, post-lifting of campus and state mask mandates (2/27/2022-6/12/2022), the campus, host and neighboring city viral concentrations and variant compositions became indistinguishable (MAPE = 0.06 +/- 0.02; Bray-Curtis = 0.07 +/- 0.05, respectively). This data suggests that university COVID-19 policies effectively prevented campus-spill over, with no significant contribution to COVID-19 spread into the surrounding communities. Conversely, it was the surrounding communities that led to the spread of COVID-19 onto the campus. Therefore, wastewater surveillance proves instrumental in monitoring COVID-19 trends in surrounding areas, aiding in predicting the impact of easing campus restrictions on campus health. Wastewater surveillance improves university COVID-19 policy assessment, monitoring campus-to-city transmission trends for informed public health strategies.
引用
收藏
页码:114 / 125
页数:12
相关论文
共 50 条
  • [31] The wastewater microbiome: A novel insight for COVID-19 surveillance
    Gallardo-Escarate, Cristian
    Valenzuela-Munoz, Valentina
    Nunez-Acuna, Gustavo
    Valenzuela-Miranda, Diego
    Benaventel, Barbara P.
    Saez-Vera, Constanza
    Urrutia, Homero
    Novoa, Beatriz
    Figueras, Antonio
    Roberts, Steven
    Assmann, Paulina
    Bravo, Marta
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 764
  • [32] Wastewater and public health: the potential of wastewater surveillance for monitoring COVID-19
    Farkas, Kata
    Hillary, Luke S.
    Malham, Shelagh K.
    McDonald, James E.
    Jones, David L.
    CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH, 2020, 17 : 14 - 20
  • [33] COVID-19 and Beyond: COVID-19 Interventions and Power Plant Emissions in the United States
    Rasel, Munshi Md
    Chen, Kevin L.
    Nethery, Rachel C.
    Henneman, Lucas R. F.
    ACS ES&T ENGINEERING, 2023, 3 (07): : 923 - 931
  • [34] Wastewater surveillance of SARS-CoV-2 and chemical markers in campus dormitories in an evolving COVID-19 pandemic
    Mohapatra, Sanjeeb
    Bhatia, Sumedha
    Senaratna, Kavindra Yohan Kuhatheva
    Jong, Mui-Choo
    Lim, Chun Min Benjamin
    Gangesh, G. Reuben
    Lee, Jia Xiong
    Giek, Goh Shin
    Cheung, Callie
    Lin, Yutao
    You, Luhua
    Yong, Ng How
    Peng, Lim Cheh
    Wong, Judith Chui Ching
    Ching, Ng Lee
    Gin, Karina Yew-Hoong
    JOURNAL OF HAZARDOUS MATERIALS, 2023, 446
  • [35] Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus
    Karthikeyan, Smruthi
    Nguyen, Andrew
    McDonald, Daniel
    Zong, Yijian
    Ronquillo, Nancy
    Ren, Junting
    Zou, Jingjing
    Farmer, Sawyer
    Humphrey, Greg
    Henderson, Diana
    Javidi, Tara
    Messer, Karen
    Anderson, Cheryl
    Schooley, Robert
    Martin, Natasha K.
    Knight, Rob
    MSYSTEMS, 2021, 6 (04)
  • [36] BIM as a Mitigation Tool for COVID-19 Management on a University Campus
    Chen, Don
    Cash, Turner
    Rogha, Milad
    Tang, Wenwu
    Gibas, Cynthia
    Munir, Mariya
    COMPUTING IN CIVIL ENGINEERING 2023-RESILIENCE, SAFETY, AND SUSTAINABILITY, 2024, : 169 - 176
  • [37] University presses and the impact of COVID-19
    Watkinson, Charles
    LEARNED PUBLISHING, 2021, 34 (01) : 17 - 24
  • [38] Impact of the COVID-19 on electricity consumption of open university campus buildings-The case of Twente University in the Netherlands
    Xu, Sheng
    Cheng, Bin
    Huang, Zefeng
    Liu, Tao
    Li, Yuan
    Jiang, Lin
    Guo, Wei
    Xiong, Jie
    ENERGY AND BUILDINGS, 2023, 279
  • [39] Application of machine learning for multi-community COVID-19 outbreak predictions with wastewater surveillance
    Ai, Yuehan
    He, Fan
    Lancaster, Emma
    Lee, Jiyoung
    PLOS ONE, 2022, 17 (11):
  • [40] Public Health Interventions Guided by Houston's Wastewater Surveillance Program During the COVID-19 Pandemic
    Hopkins, Loren
    Ensor, Katherine B.
    Stadler, Lauren
    Johnson, Catherine D.
    Schneider, Rebecca
    Domakonda, Kaavya
    McCarthy, James J.
    Septimus, Edward J.
    Persse, David
    Williams, Stephen L.
    PUBLIC HEALTH REPORTS, 2023, 138 (06) : 856 - 861