Evidence map›Paper›PMID 38928987›Full record

ArticleInternational journal of environmental research and public health2024

Wastewater-Based Epidemiology for SARS-CoV-2 in Northern Italy: A Spatiotemporal Model.

Matilde Fondriest, Lorenzo Vaccari, Federico Aldrovandi, Laura De Lellis, Filippo Ferretti, Carmine Fiorentino, Erica Mari, Maria Grazia Mascolo, Laura Minelli, Vincenza Perlangeli and 4 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Matilde FondriestRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.ORCID 0009-0003-8280-7878
Lorenzo VaccariRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.ORCID 0000-0002-0546-1303
Federico AldrovandiAlma Mater Institute on Healthy Planet, Department of Biological, Geological and Environmental Sciences, University of Bologna, 40138 Bologna, Italy.
Laura De LellisHera Tech Srl, 40127 Bologna, Italy.
Filippo FerrettiLocal Health Authority of Bologna, Department of Public Health, 40124 Bologna, Italy.
Carmine FiorentinoLocal Health Authority of Bologna, Department of Public Health, 40124 Bologna, Italy.
Erica MariRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.
Maria Grazia MascoloRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.
Laura MinelliWater Directorate, Hera SpA, 40127 Bologna, Italy.
Vincenza PerlangeliLocal Health Authority of Bologna, Department of Public Health, 40124 Bologna, Italy.
Giuseppe BortoneRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.
Paolo PandolfiLocal Health Authority of Bologna, Department of Public Health, 40124 Bologna, Italy.
Annamaria ColacciRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.
Andrea RanziRegional Agency for Prevention, Environment and Energy of Emilia-Romagna, 40139 Bologna, Italy.ORCID 0000-0002-0037-9167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigated the application of Wastewater-Based Epidemiology (WBE) as a tool for monitoring the SARS-CoV-2 prevalence in a city in northern Italy from October 2021 to May 2023. Based on a previously used deterministic model, this study proposed a variation to account for the population characteristics and virus biodegradation in the sewer network. The model calculated virus loads and corresponding COVID-19 cases over time in different areas of the city and was validated using healthcare data while considering viral mutations, vaccinations, and testing variability. The correlation between the predicted and reported cases was high across the three waves that occurred during the period considered, demonstrating the ability of the model to predict the relevant fluctuations in the number of cases. The population characteristics did not substantially influence the predicted and reported infection rates. Conversely, biodegradation significantly reduced the virus load reaching the wastewater treatment plant, resulting in a 30% reduction in the total virus load produced in the study area. This approach can be applied to compare the virus load values across cities with different population demographics and sewer network structures, improving the comparability of the WBE data for effective surveillance and intervention strategies.

Indexed as

COVID-19SARS-CoV-2WastewaterCitiesHumansItalySpatio-Temporal AnalysisViral LoadWastewater-Based Epidemiological MonitoringWastewaterbiodegradationCOVID-19early-warning systempublic healthSARS-CoV-2sewer networkspatiotemporal modelwastewaterwastewater-based epidemiology

Identifiers

PMID38928987
PMCPMC11203876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.