Evidence map›Paper›PMID 36981969›Full record

ArticleInternational journal of environmental research and public health2023

The Role of Traffic Volume on Sound Pressure Level Reduction before and during COVID-19 Lockdown Measures-A Case Study in Bochum, Germany.

Falk Hemker, Timo Haselhoff, Susanne Brunner, Bryce T Lawrence, Katja Ickstadt, Susanne Moebus

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Falk HemkerInstitute for Urban Public Health (InUPH), University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany.ORCID 0009-0003-4662-2315
Timo HaselhoffInstitute for Urban Public Health (InUPH), University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany.
Susanne BrunnerDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227 Dortmund, Germany.
Bryce T LawrenceResearch Group Landscape Ecology and Landscape Planning, Department of Spatial Planning, TU Dortmund University, Vogelpothsweg 87, 44227 Dortmund, Germany.ORCID 0000-0001-9564-5917
Katja IckstadtDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227 Dortmund, Germany.
Susanne MoebusInstitute for Urban Public Health (InUPH), University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the SARS-CoV-2 pandemic, sound pressure levels (SPL) decreased because of lockdown measures all over the world. This study aims to describe SPL changes over varying lockdown measure timeframes and estimate the role of traffic on SPL variations. To account for different COVID-19 lockdown measures, the timeframe during the pandemic was segmented into four phases. To analyze the association between a-weighted decibels (dB(A)) and lockdown phases relative to the pre-lockdown timeframe, we calculated a linear mixed model, using 36,710 h of recording time. Regression coefficients depicting SPL changes were compared, while the model was subsequently adjusted for wind speed, rainfall, and traffic volume. The relative adjusted reduction of during pandemic phases to pre-pandemic levels ranged from -0.99 dB(A) (CI: -1.45; -0.53) to -0.25 dB(A) (CI: -0.96; 0.46). After controlling for traffic volume, we observed little to no reduction (-0.16 dB(A) (CI: -0.77; 0.45)) and even an increase of 0.75 dB(A) (CI: 0.18; 1.31) during the different lockdown phases. These results showcase the major role of traffic regarding the observed reduction. The findings can be useful in assessing measures to decrease noise pollution for necessary future population-based prevention.

Indexed as

Air PollutantsAir PollutionCOVID-19Communicable Disease ControlEnvironmental MonitoringHumansNoisePressureSARS-CoV-2Air Pollutantsacoustic environmentCOVID-19environmental noiselockdownmixed-model regressionrainfallSPLtraffic noisewind speed

Identifiers

PMID36981969
PMCPMC10048852

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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.