ArticleOpen access Macedonian journal of medical sciences2019
A Study of Noise Pollution Measurements and Possible Effects on Public Health in Ota Metropolis, Nigeria.
Article in Open access Macedonian journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Noise mapping and ambient sound recordings of the urban environment in Uganda.Scientific data · 2026Article
- City-wide space-time patterns of environmental noise pollution in Kigali, Rwanda.Environmental research letters : ERL [Web site] · 2025Article
- Multidimensional analysis of road traffic noise and probable public health hazards in Barisal city corporation, Bangladesh.Heliyon · 2024Article
- Imaging methods used in the assessment of environmental disease networks: a brief review for clinicians.Insights into imaging · 2020Review
- Investigation of the Content Offered to the Public Regarding Noise Pollution in Online News.Noise & healthArticle
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Authors and funding
4 authors.
Funding
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Abstract
backgroundNoise pollution has become a major environmental problem leading to nuisances and health issues.
aimThis paper aims to study and analyse the noise pollution levels in major areas in Ota metropolis. A probability model which is capable of predicting the noise pollution level is also determined.
methodsDatasets on the noise pollution level in 41 locations across Ota metropolis were used in this research. The datasets were collected thrice per day; morning, afternoon and evening. Descriptive statistics were performed, and analysis of variance was also conducted using Minitab version 17.0 software. Easy fit software was however used to select the appropriate probability model that would best describe the dataset.
resultsThe noise levels are way far from the WHO recommendations. Also, there is no significant difference in the effects of the noise pollution level for all the times of the day considered. The log-logistic distribution provides the best fit to the dataset based on the Kolmogorov Smirnov goodness of fit test.
conclusionThe fitted probability model can help in the prediction of noise pollution and act as a yardstick in the reduction of noise pollution, thereby improving the public health of the populace.
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