In epidemiological studies of environmental noise, the general term time-weighted average is often used to describe energy-based averaging of noise levels over defined periods of time.

GIND-VGH is a regional study aimed at assessing NDVI/EVI greenness data for Västra Götaland and Halland to support environmental and epidemiological research.

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To conduct the dose-response meta-analysis (i.e. all illustrations and results presented here are based on non-linear input data from corresponding papers), the dosresmeta package in R was employed, focusing on the association between exposure and response.

In this session, we will talk about why and how we can use dynamic plots in our work. Dynamic plots help researchers look at complex data interactively, making it easier to find relationships, patterns, and unusual data points that might be missed in regular, static charts.

1. Restrict curves to noise levels 75 dB or below 2. Exclude studies with very high “lower level” – Decide on 60 dB.