@article{10902/31053,
year = {2020},
month = {2},
url = {https://hdl.handle.net/10902/31053},
abstract = {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 b .01), were found for the minimum values of the first and the third Schuman resonances frequency on eastwest 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 neededwith longer temporal series and a new approach based on gender seems to be also interesting for future studies.},
organization = {This paper is based upon work from COST Action “Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems (ELECTRONET)”, supported by COST (European Cooperation in Science and Technology). Also authors acknowledge Cost Action 15211, Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems, for funding the COST Training School on “Advanced Data Analysis Methods for Identifying and Characterizing Atmospheric Electricity Variations, their Causes and Impacts” developed at Potsdam Institute for Climate Impact Research from February, 25th to March, 1st 2019. Authors would like to thank the Spanish Ministry of Health, Consumer Affairs and Social Welfare CMBD for facilitating access to the data the Minimum Basic Data Set of the Hospital Discharges (CMBD-H) from all the Hospitals of the National Health Service. Also, authors would like to thank the support from the Spanish National Research Agency - Project CSO2016-75154-R and the European Funds for Regional Development (FEDER). Authors would like to thank the support by the investigation research project FIS2017-90102-R, of the Ministry of Economy and Competitiveness (MINECO) cofinanced by the European Regional Development Fund (FEDER), and we are grateful to Parque Nacional Sierra Nevada for providing support for the ELF measurement station. The Event Coincidence Analysis has been performed using the R package CoinCalc (Siegmund et al., 2017). LS and RVD gratefully acknowledge financial support by the German Federal Ministry of Science and Education under grant nos. 01LN1306A and 01LP1611A.},
publisher = {Elsevier},
publisher = {Science of the Total Environment, 2020, 705, 135813},
title = {Schumann resonance and cardiovascular hospital admission in the area of Granada, Spain: an event coincidence analysis approach},
author = {Fernández de Arróyabe Hernáez, Pablo and Fornieles-Callejón, Jesus and Santurtún Zarrabeitia, Ana and Szangolies, Leonna and Donner, Reik V.},
}