InterCriteria Analysis Applied on Air Pollution Influence on Morbidity

Abstract

Human health is reflected in all spheres of life and the economy. One of the main causes of morbidity and early mortality is polluted air. Ambient air pollution is a serious source of disease and mortality across the world. Cities are notorious for their high levels of air pollution and sickness. However, the precise degree of the health impacts of air pollution at the municipal level are still largely unclear. One of the main reasons for increased morbidity is the presence of particulate matter. The aim of our study is to show the relationship between elevated levels of particulate matter in the air and certain diseases. In this paper, we apply InterCriteria Analysis (ICrA) to find the correlation between the level of air pollution and the number of people seeking medical help. This is a new approach for the problem. The results show the affect of air pollution on certain diseases with a short exposure on polluted air and when the exposure is prolonged. We observed that some diseases are exacerbated by brief exposure to polluted air, while in others, exacerbation occurs after prolonged exposure.

How to Optimize the Experimental Protocol for Surface EMG Signal Measurements Using the InterCriteria Decision-Making Approach

“…In addition, the decision-making approach helps to determine the appropriate treatment courses such as medicine, physiotherapeutic, and kinesiotherapeutic programs. In the other four articles, ICrA was used as follows: to estimate the correlations between body Citation: Angelova, M.; Angelova, S.; Raikova, R. How to Optimize the Experimental Protocol for Surface EMG Signal Measurements Using the InterCriteria Decision-Making composition indices associated with overweight in healthy students [6]; to support the process for criteria pre-selection for a large set of 88 ECG criteria [7] concerning patients with arrhythmia; to compare physiological rhythm curves [8]; and to search for relationships between the level of air pollution and the number of people with a variety of health problems seeking medical help [9].…”

Optimizing Air Pollution Modeling with a Highly-Convergent Quasi-Monte Carlo Method: A Case Study on the UNI-DEM Framework

“…Sensitivity analysis (SA) is the tool for checking how uncertainty in input data affects the accuracy of output results [1][2][3][4][5]. When modelling a complex phenomenon, multidimensional sensitivity analysis (MSA) can be a challenging task [6][7][8][9]. The main issue in sensitivity analysis is evaluating total sensitivity indices, which involves calculating a set of multiple integrals [10][11][12][13].…”

Comparative Study Between Pre and Post Implementation of Several Policies: Air Quality Index in DKI Jakarta

“…Poor air quality primarily impacts health problems (Yudiskara, Dwidasmara, & Widiartha, 2023). Many problems of morbidity and premature death are caused by air pollution (Fidanova, Zhivkov, & Roeva, 2022). In addition, blood lipid health can be disrupted due to bad air (Zhang, et al, 2023).…”