Statistical Modeling on Blindness and Visual Impairment Data

Abstract

Blindness and visual impairment remain leading causes of disability in the world, and also considered one of the major eye problems in Nepal. This study was planned to identify the significant risk factors of visual impairment and blindness based on hospital data. The analysis is based on 2000 patients' information with age ≥40 years retrospectively. Logistic regression model is used to identify the risk factors of visual impairment. Altogether 710(36%) subjects were having visually impaired (low vision) and very few 29(1.45%) were having blindness. The proportion of having visual impairment and blindness each is found higher in the females as compared to males( p = 0.026). The prevalence of having visual impairment in the age group of 40 -49 years with 95% C.I. is 13.11 %( 10.76% -15.75%) and it reaches to very high (89.00%; 84.89% -92.30%) in the patients having age 70 years or more. The odds of having visual impairment is 8 times more(OR = 7.99, 95% C.I.: 3.99 -15.98, p < 0.001) in 60 -69 age group of people as compared with those of 40 -49 age group based on visual acuity after correction. Risk of developing visual impairment is found to be increasing exponentially with increasing age.

Fuzzy Logic Based Perceptual Image Hashing Algorithm in Malaysian Banknotes Detection System for the Visually Impaired

“…Majority of the visually impaired person are elderly people in which 82% of them are fully blinded and 65% of the visually impaired person are aged 50 years old and above [1] . In Malaysia, The National Eye Survey [2] that was executed in 1996 collected statistics that the generality of blindness and low vision Malaysian citizens are about 0.29% and 2.44% of the total citizens respectively.…”