Asthma is the most frequent chronic condition among children. Asthma diagnosis difficulties are common, leading in inadequate asthma management. Symptoms appear in about 80% of paediatric asthma patients before the age of six, with the majority appearing before the age of three. Only about a third of children who have had at least one episode of asthmatic symptoms by the age of three will develop asthma by the age of six (8). Asthma is under-diagnosed in 18–75 percent of asthmatic children. This city is classified as unfit for human habitation. The degradation of urban air quality is widespread in most megacities, and Kolkata Metropolitan City is no exception. The main goal of this chapter is to create an accurate model for asthma predictability index in children. To do so, an assessment of Kolkata air quality is conducted, in which the listed pollutants' annual average concentrations (RPM, SPM, NO2, and SO2) are classified into four different categories, and data is collected from 17 monitoring stations and classified as critical, high, moderate, and low pollution. In Kolkata, there are 17 monitoring stations, five of which are critical and the rest 12 fall into the high pollution category for NO2. In terms of RPM, four stations are critical and 13 stations record data that falls into the high pollution category. Model questionnaires were administered to 10% of the families in order to measure socioeconomic conditions, critical environmental conditions, the nature and types of health burdens, and attitudes toward health care facilities. Mapping with GIS provides a thorough and up-to-date understanding of the seasonal and spatial fluctuation of asthma, as well as evaluating the area's air quality.
Author(S) Details
Jayati Das
Shri Shikshayatan College, Kolkata, India.
Saibal Moitra
Allergy and Asthma Research Centre, Kolkata, India.
View Book:- https://stm.bookpi.org/CIEES-V9/article/view/4939
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