environmental pollution: statistical approach on mobile tower radiation

Background: the electromagnetic field (emf) effect is considered an alarming human health issue, dependent on the use of mobile phones. several nationwide awareness programs on emf emissions & telecom towers were initiated by the department of telecom (dot) to build a direct bridge between the number of investors and the information gap with scientific evidence. emf interaction with humans has caused oxidative stress for brain physiological and pathological degeneration.objective: this study aimed to investigate the emf’s influence on oxidative stress and disorders of neurodegenerative.material and methods: this analytical study is conducted on a generalized linear model, a supervised learning approach in machine learning, to understand mobile tower radiation. the data is obtained from open sources from two different states in india.results: confidential interval (ci) was obtained for measured value radiation for andhra pradesh in 2018-2019 as 95% ci [0.0045 to 0.0111] and for 2019-2020 as 95% ci [0.0016 to 0.0028]. telangana -ci for measured value (mv) in 2018-2019 was found to be 95% ci [0.0500 to 0.0763] and 2019-2020 is 95% ci [0.0189 to 0.4345]. conclusion: generalized linear models (glm) are the best statistical model to analyze the mobile tower radiation.