TY - JOUR
T1 - SARS-CoV-2 wastewater-based epidemiology in an enclosed compound: A 2.5-year survey to identify factors contributing to local community dissemination
AU - Wang, Tiannyu
AU - Wang, Changzhi
AU - Myshkevych, Yevhen
AU - Mantilla Calderon, David
AU - Talley, Erik Allen
AU - Hong, Pei-Ying
N1 - KAUST Repository Item: Exported on 2023-03-06
Acknowledged KAUST grant number(s): BAS/1/1033-01-01
Acknowledgements: This work was partially funded by KAUST baseline grant BAS/1/1033-01-01 awarded to PYH and by the KAUST Smart Health Initiative for the KAUST Rapid Response Research Team. The authors would like to thank KAUST Facilities and Maintenance Utilities team for providing access to wastewater samples and for providing the wastewater volume data. The authors would also like to thank Professor Arnab Pain and his team for providing the RNA sample that serves as positive control, as well as members of the KAUST HSE (Mr. Rodion V. Gorchakov) and Community Life for collating data from swab testing and serological testing. Assistance from Dr Andri Rachmadi in the early stages of the KAUST WBE and Ms.Elaf Alahdal in the latter stages is greatly appreciated.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Long-term (>2.5 years) surveillance of SARS-CoV-2 RNA concentrations in wastewater was conducted within an enclosed university compound. This study aims to demonstrate how coupling wastewater-based epidemiology (WBE) with meta-data can identify which factors contribute toward the dissemination of SARS-CoV-2 within a local community. Throughout the pandemic, the temporal dynamics of SARS-CoV-2 RNA concentrations were tracked by quantitative polymerase chain reaction and analyzed in the context of the number of positive swab cases, the extent of human movement, and intervention measures. Our findings suggest that during the early phase of the pandemic, when strict lockdown was imposed, the viral titer load in the wastewater remained below detection limits, with
AB - Long-term (>2.5 years) surveillance of SARS-CoV-2 RNA concentrations in wastewater was conducted within an enclosed university compound. This study aims to demonstrate how coupling wastewater-based epidemiology (WBE) with meta-data can identify which factors contribute toward the dissemination of SARS-CoV-2 within a local community. Throughout the pandemic, the temporal dynamics of SARS-CoV-2 RNA concentrations were tracked by quantitative polymerase chain reaction and analyzed in the context of the number of positive swab cases, the extent of human movement, and intervention measures. Our findings suggest that during the early phase of the pandemic, when strict lockdown was imposed, the viral titer load in the wastewater remained below detection limits, with
UR - http://hdl.handle.net/10754/689973
UR - https://linkinghub.elsevier.com/retrieve/pii/S0048969723010823
U2 - 10.1016/j.scitotenv.2023.162466
DO - 10.1016/j.scitotenv.2023.162466
M3 - Article
C2 - 36868271
SN - 0048-9697
SP - 162466
JO - The Science of the total environment
JF - The Science of the total environment
ER -