دورية أكاديمية
أعرض في EDS

Modeling the relationship between SARS-CoV-2 RNA in wastewater or sludge and COVID-19 cases in three New England regions

التفاصيل البيبلوغرافية
العنوان: Modeling the relationship between SARS-CoV-2 RNA in wastewater or sludge and COVID-19 cases in three New England regions
المؤلفون: Elyssa Anneser, Emily Riseberg, Yolanda M. Brooks, Laura Corlin, Christina Stringer
المصدر: Journal of Water and Health, Vol 20, Iss 5, Pp 816-828 (2022)
بيانات النشر: IWA Publishing, 2022.
سنة النشر: 2022
المجموعة: LCC:Public aspects of medicine
مصطلحات موضوعية: covid-19, sars-cov-2, sludge, statistical model comparisons, wastewater, wastewater-based epidemiology, Public aspects of medicine, RA1-1270
الوصف: Background: We aimed to compare statistical techniques estimating the association between SARS-CoV-2 RNA in untreated wastewater and sludge and reported coronavirus disease 2019 (COVID-19) cases. Methods: SARS-CoV-2 RNA concentrations (copies/mL) were measured from 24-h composite samples of wastewater in Massachusetts (MA) (daily; 8/19/2020–1/19/2021) and Maine (ME) (weekly; 9/1/2020–3/2/2021) and sludge samples in Connecticut (CT) (daily; 3/1/2020–6/1/2020). We fit linear, generalized additive with a cubic regression spline (GAM), Poisson, and negative binomial models to estimate the association between SARS-CoV-2 RNA concentration and reported COVID-19 cases. Results: The models that fit the data best were linear [adjusted R2=0.85 (MA), 0.16 (CT), 0.63 (ME); root-mean-square error (RMSE)=0.41 (MA), 1.14 (CT), 0.99 (ME)), GAM (adjusted R2=0.86 (MA), 0.16 (CT) 0.65 (ME); RMSE=0.39 (MA), 1.14 (CT), 0.97 (ME)], and Poisson [pseudo R2=0.84 (MA), 0.21 (CT), 0.52 (ME); RMSE=0.39 (MA), 0.67 (CT), 0.79 (ME)]. Conclusions: Linear, GAM, and Poisson models outperformed negative binomial models when relating SARS-CoV-2 RNA in wastewater or sludge to reported COVID-19 cases. HIGHLIGHTS Comparisons of statistical models can help inform public health departments on how to implement wastewater-based epidemiology.; We compared the performance of linear, generalized additive, Poisson, and negative binomial models relating SARS-CoV-2 RNA in wastewater or sludge to reported COVID-19 cases.; Linear, generalized additive, and Poisson models performed best and negative binomial models performed worst.;
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1477-8920
1996-7829
Relation: http://jwh.iwaponline.com/content/20/5/816; https://doaj.org/toc/1477-8920; https://doaj.org/toc/1996-7829
DOI: 10.2166/wh.2022.013
URL الوصول: https://doaj.org/article/e8192013b0c74975ba9a9200dffbb6cb
رقم الأكسشن: edsdoj.8192013b0c74975ba9a9200dffbb6cb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14778920
19967829
DOI:10.2166/wh.2022.013