Work

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

Year: 2025

Type: data-paper

Abstract: 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.

Source: Data in Brief

DOI: 10.1016/j.dib.2025.111756

Authors: Aiswarya Rani Pappu, Ashley Green, Melanie Oakes, Sunny Jiang

Institution: University of California, Irvine

Language: English

Topic: SARS-CoV-2 detection and testing

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Clean water and sanitation, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,220