आईएसएसएन: 2573-458X

पर्यावरण प्रदूषण और जलवायु परिवर्तन

खुला एक्सेस

हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।

ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं

में अनुक्रमित
  • गूगल ज्ञानी
  • पबलोन्स
  • यूरो पब
  • आईसीएमजेई
इस पृष्ठ को साझा करें

अमूर्त

Air Pollution a Major Factor in Asthma Predictability Index among Children Living in and Around Kolkata Metropolis

Jayati Das and Saibal M

Asthma is the most common paediatric chronic disease. Hindrance in asthma diagnosis is widespread resulting in unsatisfactory management in asthma. About 80% of paediatric asthma patients have symptom onset before age six, most of them before age three. However, only about 1/3 of children with at least one episode of asthmatic symptoms by age three will have asthma at age six and over, Asthma is under-diagnosed in 18-75% of asthmatic children. This city is categorized unhealthy for human beings. Deterioration in urban air quality in most megacities is quite profound and Kolkata Metropolitan City is no exception to this. An assessment of Kolkata air quality is done where the listed pollutants’ (RPM, SPM, NO2 and SO2) annual average concentration are classified into four different categories; namely critical, high, moderate, and low pollution. There are 17 monitoring stations in Kolkata and out of which five fall under the critical category, and the remaining 12 locations fall under the high category of NO2 concentration, regarding RPM, four stations are critical, and 13 stations record data which are under the high pollution category. Model questionnaires were run through 10% of the households to assess socio-economic conditions, critical environmental conditions, nature and types of health burdens as well as gauge the attitude in the direction of health care facilities were done. A comprehensive and up-to-date knowledge about the seasonal and spatial variation of asthma and studying air quality of the area. Mapping through GIS. It is desirable to construct an ccurate model (Asthma Prediction Index) to predict whether a child will develop asthma in the future due to the deteriorating air pollution in the city