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Schumann resonance and cardiovascular hospital admission in the area of Granada, Spain: An event coincidence analysis approach

Urheber*innen

Fdez-Arroyabe,  P.
External Organizations;

Fornieles-Callejón,  J.
External Organizations;

Santurtún,  A.
External Organizations;

Szangolies,  L.
External Organizations;

/persons/resource/Reik.Donner

Donner,  Reik V.
Potsdam Institute for Climate Impact Research;

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Zitation

Fdez-Arroyabe, P., Fornieles-Callejón, J., Santurtún, A., Szangolies, L., Donner, R. V. (2020): Schumann resonance and cardiovascular hospital admission in the area of Granada, Spain: An event coincidence analysis approach. - Science of the Total Environment, 705, 135813.
https://doi.org/10.1016/j.scitotenv.2019.135813


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_23643
Zusammenfassung
The study of bio-effects of Schumann resonances is a very complex issue. There is a need to identify mechanisms and pathways that explain how Extremely Low Frequency magnetic fields affect biology or human health. This particular study tries to identify statistical associations between ELF magnetic fields in the province of Granada (Spain) and cardiovascular related hospital admission in the same province for the period April, 1st 2013 to March, 31st 2014. Research is developed under an epidemiological approach based on an Event Coincidence Analysis statistical method. Clustered events, statistically significant (ECA shuffle-surrogate test p = .01 and p < .01), were found for the minimum values of the first and the third Schuman resonances frequency on east-west and north-south directions, and for the amplitude parameter of the second resonance and the total signal energy in the north-south direction. Empirical measurements of SR parameters were recorded at the Sierra Nevada Mountain in Granada province (Spain). Results show a clear coincidence of the events for the minima amplitudes of Shuman resonances and energy in the north-south orientation and the number of the cardiovascular related hospital admissions. Further research is needed with longer temporal series and a new approach based on gender seems to be also interesting for future studies.