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https://dx.doi.org/10.34810/da...
Dataset . 2022
License: CC BY NC SA
Data sources: Datacite
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Semi-synthetic dataset: motor vehicle crashes and temperature in Catalonia

Authors: Jose Barrera-Gómez; Josep Ginebra; Xavier Basagaña; Xavier Puig;

Semi-synthetic dataset: motor vehicle crashes and temperature in Catalonia

Abstract

The aim of this project is to estimate the short-terms effects of temperature on different health outcomes in Catalonia (Spain). The health outcomes include cause-specific mortality, hospital admissions and motor vehicle crashes.

Semi-synthetic dataset that was created to approximate the relationship between the daily number of motor vehicle crashes and ambient temperature in 14 climatic regions of Catalonia (warm seasons of years 2000-2011)

Keywords

Design, accidents, Life Sciences, temperature, Fine Arts, Music, Theatre and Media Studies, Environment, Health and Life Sciences, Humanities, random effect model, Medicine, Health and Life Sciences, Bayesian model, Time series design, Poisson distribution, Medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average