Associations between SARS-CoV-2 RNA concentrations in wastewater and COVID-19 rates in days after sampling in small urban areas of Seville: A time series study
| Autor: | Pablo Rasero Del Real, Luis Ángel Moya Ruano, Francisco Javier Rodríguez Rasero, Lucila Cuberos Gómez, Nicola Lorusso |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Wastewater-Based Epidemiological Monitoring Environmental Engineering Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Wastewater epidemiology Biology Wastewater Urban area Article Environmental health medicine Environmental Chemistry Humans Urban areas Waste Management and Disposal Mobility geography geography.geographical_feature_category SARS-CoV-2 Public health Confounding RNA Sampling (statistics) COVID-19 Pollution SARS-CoV-2 RNA Vulnerable population RNA Viral |
| Zdroj: | The Science of the Total Environment |
| ISSN: | 1879-1026 0048-9697 |
| Popis: | Wastewater surveillance systems for SARS-CoV-2 can be used to support public health decisions, complementary to clinical surveillance. We examined the lead-lag associations between SARS-CoV-2 RNA copies in wastewater and COVID-19 rates in relatively small urban areas of Seville, adjusting for internal mobility, temperature, and wastewater-related variables. The association COVID-19 rates-RNA copies were statistically significant from three to 27 days after sampling. Temperature is a confounding factor for both viral RNA counts and mobility. The model that best fitted data used cases six days after sampling. A logarithmic unit increase in viral RNA count in wastewater was associated with a 26.9% increase in COVID-19 rate per 100,000 inhabitants (95% CI: 13.1-42.4%), within the urban area, six days later. Surveillance system for SARS-CoV-2 in wastewater has great potential for public health. Knowing the specific association between SARS-CoV-2 RNA copies in wastewater and COVID-19 daily rates may help to improve its performance. Graphical abstract Unlabelled Image |
| Databáze: | OpenAIRE |
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