The Importance of Quantication of Data in Studies on the Health Effects of Exposure to Electromagnetic Fields Generated by Mobile Base Stations S.M.J. Mortazavi 1 , Valentina Emilia Balas 2(&) , A. Zamani 3 , A. Zamani 4 , S.A.R. Mortazavi 5 , M. Haghani 1 , O. Jaberi 6 , and A. Soleimani 7 1 Ionizing and Non-ionizing Radiation Protection Research Center (INIRPRC), Shiraz University of Medical Sciences, Shiraz, Iran mmortazavi@sums.ac.ir 2 Department of Automatics and Applied Informatics, Aurel Vlaicu University, B-dul Revolutiei 77, 310130 Arad, Romania balas@drbalas.ro 3 Department of Statistics, Shiraz University, Shiraz, Iran a_zamani2@yahoo.com 4 Medical Physics and Medical Engineering Department, Shiraz University of Medical Sciences, Shiraz, Iran atefeh.zamani@hotmail.com 5 Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran a.mortazavi.72@gmail.com 6 Occupational Health Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran mefomp@sums.ac.ir 7 Epidemiology Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran aslami_epid@yahoo.com Abstract. This study aimed at developing simple methods for quantication of the data in studies on the health effects of exposure to electromagnetic elds of mobile base stations to prevent different interpretations of the ndings. We have previously conducted a cross-sectional study on people living in 10 different districts of Shiraz city. Based on how frequent the symptoms were (always/ usually/occasionally/never), a score was determined for each self-reported symptom and the total score for each individual was calculated. In the next stage, instead of reporting the effect of RF-EMF exposure on the occurrence of each symptom, the impact of exposures on the human health were assessed by eval- uation of the total scores. Moreover, principal component analysis (PCA) was used for assessing the factors with greatest correlation. We found that exposure to RF-EMF emitted by mobile base stations signicantly affected the residents health. Furthermore, the distance between the mobile phone base stations and the homes had a signicant effect on the residentshealth. The frequency of self- reported symptoms of myalgia, palpitation, early fatigue, nervousness and low back pain decreased with increasing the distance from mobile phone base stations. © Springer International Publishing AG 2018 V.E. Balas et al. (eds.), Soft Computing Applications, Advances in Intelligent Systems and Computing 633, DOI 10.1007/978-3-319-62521-8_26