Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data

The data presented in this article show SARS-CoV-2 viral concentration and trends in wastewater among communities with different population size. Particularly, the data show that wastewater SARS-CoV-2 concentration can better predict COVID-19 transmission in communities than clinical data. The artic...

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Main Authors: Aiswarya Rani Pappu, Ashley Green, Melanie Oakes, Sunny Jiang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Data in Brief
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925004834
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author Aiswarya Rani Pappu
Ashley Green
Melanie Oakes
Sunny Jiang
author_facet Aiswarya Rani Pappu
Ashley Green
Melanie Oakes
Sunny Jiang
author_sort Aiswarya Rani Pappu
collection DOAJ
description The data presented in this article show SARS-CoV-2 viral concentration and trends in wastewater among communities with different population size. Particularly, the data show that wastewater SARS-CoV-2 concentration can better predict COVID-19 transmission in communities than clinical data. The article also reports PMMoV data in wastewater and population data in each community, and their effects on the correlation between wastewater SARS-CoV-2 and clinical COVID-19 data. The wastewater and clinical data reported in this article are collected from 7 students’ housing communities with population ranging between 300 and 4000 residents per community. The dataset presents SARS-CoV-2 N2 and E gene as well as PMMoV concentrations in the raw wastewater samples collected from 13 sewer manholes at these communities roughly three times per week for a period of 6-months between December 2021 and June 2022. This dataset will help to 1) improve future wastewater based epidemiological models, 2) improve understanding on PMMoV concentration ranges in wastewater at low population communities, 3) develop methods to support data interpretation, and 4) understand the effects of spatial scales on sampling frequency and infection outbreak detection.
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institution Kabale University
issn 2352-3409
language English
publishDate 2025-08-01
publisher Elsevier
record_format Article
series Data in Brief
spelling doaj-art-5c480b44e08741cd80bac6484b34cc222025-08-20T03:57:32ZengElsevierData in Brief2352-34092025-08-016111175610.1016/j.dib.2025.111756Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley DataAiswarya Rani Pappu0Ashley Green1Melanie Oakes2Sunny Jiang3Department of Civil and Environmental Engineering, University of California Irvine, Irvine, USADepartment of Civil and Environmental Engineering, University of California Irvine, Irvine, USADepartment of Biological Chemistry, University of California Irvine, Irvine, USADepartment of Civil and Environmental Engineering, University of California Irvine, Irvine, USA; Corresponding author.The data presented in this article show SARS-CoV-2 viral concentration and trends in wastewater among communities with different population size. Particularly, the data show that wastewater SARS-CoV-2 concentration can better predict COVID-19 transmission in communities than clinical data. The article also reports PMMoV data in wastewater and population data in each community, and their effects on the correlation between wastewater SARS-CoV-2 and clinical COVID-19 data. The wastewater and clinical data reported in this article are collected from 7 students’ housing communities with population ranging between 300 and 4000 residents per community. The dataset presents SARS-CoV-2 N2 and E gene as well as PMMoV concentrations in the raw wastewater samples collected from 13 sewer manholes at these communities roughly three times per week for a period of 6-months between December 2021 and June 2022. This dataset will help to 1) improve future wastewater based epidemiological models, 2) improve understanding on PMMoV concentration ranges in wastewater at low population communities, 3) develop methods to support data interpretation, and 4) understand the effects of spatial scales on sampling frequency and infection outbreak detection.http://www.sciencedirect.com/science/article/pii/S2352340925004834Wastewater SARS-CoV-2Wastewater PMMoVGISEpidemiological trend analysisLow population communities
spellingShingle Aiswarya Rani Pappu
Ashley Green
Melanie Oakes
Sunny Jiang
Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
Data in Brief
Wastewater SARS-CoV-2
Wastewater PMMoV
GIS
Epidemiological trend analysis
Low population communities
title Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
title_full Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
title_fullStr Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
title_full_unstemmed Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
title_short Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data
title_sort wastewater based surveillance data to determine the covid 19 trends in communities with low populationmendeley data
topic Wastewater SARS-CoV-2
Wastewater PMMoV
GIS
Epidemiological trend analysis
Low population communities
url http://www.sciencedirect.com/science/article/pii/S2352340925004834
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