Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022

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Standard

Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022. / McManus, Oliver; Christiansen, Lasse Engbo; Nauta, Maarten; Krogsgaard, Lene Wulff; Bahrenscheer, Naja Stolberg; von Kappelgaard, Lene; Christiansen, Tobias; Hansen, Mikkel; Hansen, Nicco Claudio; Kähler, Jonas; Rasmussen, Anders; Richter, Stine Raith; Rasmussen, Lasse Dam; Franck, Kristina Træholt; Ethelberg, Steen.

I: Emerging Infectious Diseases, Bind 29, Nr. 8, 2023, s. 1589-1597.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

McManus, O, Christiansen, LE, Nauta, M, Krogsgaard, LW, Bahrenscheer, NS, von Kappelgaard, L, Christiansen, T, Hansen, M, Hansen, NC, Kähler, J, Rasmussen, A, Richter, SR, Rasmussen, LD, Franck, KT & Ethelberg, S 2023, 'Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022', Emerging Infectious Diseases, bind 29, nr. 8, s. 1589-1597. https://doi.org/10.3201/eid2908.221634

APA

McManus, O., Christiansen, L. E., Nauta, M., Krogsgaard, L. W., Bahrenscheer, N. S., von Kappelgaard, L., Christiansen, T., Hansen, M., Hansen, N. C., Kähler, J., Rasmussen, A., Richter, S. R., Rasmussen, L. D., Franck, K. T., & Ethelberg, S. (2023). Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022. Emerging Infectious Diseases, 29(8), 1589-1597. https://doi.org/10.3201/eid2908.221634

Vancouver

McManus O, Christiansen LE, Nauta M, Krogsgaard LW, Bahrenscheer NS, von Kappelgaard L o.a. Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022. Emerging Infectious Diseases. 2023;29(8):1589-1597. https://doi.org/10.3201/eid2908.221634

Author

McManus, Oliver ; Christiansen, Lasse Engbo ; Nauta, Maarten ; Krogsgaard, Lene Wulff ; Bahrenscheer, Naja Stolberg ; von Kappelgaard, Lene ; Christiansen, Tobias ; Hansen, Mikkel ; Hansen, Nicco Claudio ; Kähler, Jonas ; Rasmussen, Anders ; Richter, Stine Raith ; Rasmussen, Lasse Dam ; Franck, Kristina Træholt ; Ethelberg, Steen. / Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022. I: Emerging Infectious Diseases. 2023 ; Bind 29, Nr. 8. s. 1589-1597.

Bibtex

@article{e9118e85fd2c408db988dc9e9242e013,

title = "Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022",

abstract = "Analysis of wastewater is used in many settings for surveillance of SARS-CoV-2, but it remains unclear how well wastewater testing results reflect incidence. Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARSCoV- 2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. The results were consistent at a regional level and among a subpopulation of frequently tested healthcare personnel. We used wastewater analysis data to estimate incidence after testing was reduced to a minimum after March 2022. These results imply that data from a large-scale wastewater surveillance system can serve as a good proxy for COVID-19 incidence and for epidemic control.",

author = "Oliver McManus and Christiansen, {Lasse Engbo} and Maarten Nauta and Krogsgaard, {Lene Wulff} and Bahrenscheer, {Naja Stolberg} and {von Kappelgaard}, Lene and Tobias Christiansen and Mikkel Hansen and Hansen, {Nicco Claudio} and Jonas K{\"a}hler and Anders Rasmussen and Richter, {Stine Raith} and Rasmussen, {Lasse Dam} and Franck, {Kristina Tr{\ae}holt} and Steen Ethelberg",

year = "2023",

doi = "10.3201/eid2908.221634",

language = "English",

volume = "29",

pages = "1589--1597",

journal = "Emerging Infectious Diseases (Online)",

issn = "1080-6040",

publisher = "U.S. Department of Health and Human Services Centers for Disease Control and Prevention",

number = "8",

}

RIS

TY - JOUR

T1 - Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022

AU - McManus, Oliver

AU - Christiansen, Lasse Engbo

AU - Nauta, Maarten

AU - Krogsgaard, Lene Wulff

AU - Bahrenscheer, Naja Stolberg

AU - von Kappelgaard, Lene

AU - Christiansen, Tobias

AU - Hansen, Mikkel

AU - Hansen, Nicco Claudio

AU - Kähler, Jonas

AU - Rasmussen, Anders

AU - Richter, Stine Raith

AU - Rasmussen, Lasse Dam

AU - Franck, Kristina Træholt

AU - Ethelberg, Steen

PY - 2023

Y1 - 2023

N2 - Analysis of wastewater is used in many settings for surveillance of SARS-CoV-2, but it remains unclear how well wastewater testing results reflect incidence. Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARSCoV- 2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. The results were consistent at a regional level and among a subpopulation of frequently tested healthcare personnel. We used wastewater analysis data to estimate incidence after testing was reduced to a minimum after March 2022. These results imply that data from a large-scale wastewater surveillance system can serve as a good proxy for COVID-19 incidence and for epidemic control.

AB - Analysis of wastewater is used in many settings for surveillance of SARS-CoV-2, but it remains unclear how well wastewater testing results reflect incidence. Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARSCoV- 2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. The results were consistent at a regional level and among a subpopulation of frequently tested healthcare personnel. We used wastewater analysis data to estimate incidence after testing was reduced to a minimum after March 2022. These results imply that data from a large-scale wastewater surveillance system can serve as a good proxy for COVID-19 incidence and for epidemic control.

U2 - 10.3201/eid2908.221634

DO - 10.3201/eid2908.221634

M3 - Journal article

C2 - 37486168

AN - SCOPUS:85166363814

VL - 29

SP - 1589

EP - 1597

JO - Emerging Infectious Diseases (Online)

JF - Emerging Infectious Diseases (Online)

SN - 1080-6040

IS - 8

ER -

ID: 370567654