scholarly journals The Relationship between Air Quality and Cases of Myocardial Infarction in Yazd in 2016

Author(s):  
Mohsen Askarishahi ◽  
Mehdi Mokhtari ◽  
Hasan Ashrafzadeh ◽  
Mehrzad Ebrahemzadih

Introduction: Air pollution is now one of the greatest environmental hazards to human health in the world. The aim of this study was to investigate the relationship between air quality and cases of myocardial infarction in Yazd. Methods: This Ecological study was performed in Yazd, Iran. In this study, all the cases with myocardial infarction in Yazd who referred to emergency rooms from March 20, 2016 to March 20, 2017 entered the study. Information on the daily concentration of air pollutants included five pollutants SO2, CO, O3, NO2 and PM10 and was validated according to the World Health Criteria. In the next step the raw data from air pollutants related to each station using equation and table standard was converted to separate AQI values for each pollutant and the pollutant having the highest index was introduced as the pollutant responsible for the day. Excel 2007 and R (3.4.3) software were used to analyze the data. The significant level was considered to be less than 0.05. Results: According to measurements of air pollutants, out of 349 days, the air quality index (AQI <100) was standard in 245 days and in 104 days of the year was above the standard (AQI> 100).PM10 and CO emissions were for air pollutants in 86 days out of 104 days. Conclusion:  Given that in 104 days of the year, air quality has exceeded the standard, the children and elderly people should take caution in those days.   Keywords: Air Pollutants, Myocardial Infarction, Air Quality Index (AQI), Yazd

2020 ◽  
Vol 11 (4) ◽  
pp. 6391-6394
Author(s):  
Ganapathy Sankar U ◽  
Monisha R

Air pollution is regarded as a significant global public health risk factor in cities around the world. It is considered as one of the highest-ranking environmental health challenges in the world, particularly in developing countries like India. Air pollution is a significant risk factor for the development of various lung disorders. World Health Organization (WHO) defined air pollution as the impurity in the environment in and around by the physical, chemical, or biological agent, which has changed the natural characteristics of the atmosphere. The environmental factors related to air pollution induces the risk of allergic asthmatic reaction and emergency intervention. According to the respiratory health investigation people who are exposed to vehicular pollution for a longer duration, are in a risk to develop asthma. The air pollutants rates were measured by using the application real-time air quality index in which the air quality rate is evaluated. We piloted ten children with DCD of age about 5 - 10 years were analysed with wrights’ peak flow meter. Results of the study predicted that there is a decrease in peak expiratory flow rate with the predicted value (.000) and increase in the shortness of breath questionnaire with the predicted value (.077) on comparing over air quality index. This study concludes that there is an impact of air pollution among children with DCD.


2021 ◽  
Author(s):  
Leping Tu ◽  
Yan Chen

Abstract To investigate the relationship between air quality and its Baidu index, we collect the annual Baidu index of air pollution hazards, causes and responses. Grey correlation analysis, particle swarm optimization and grey multivariate convolution model are used to simulate and forecast the comprehensive air quality index. The result shows that the excessive growth of the comprehensive air quality index will lead to an increase in the corresponding Baidu index. The number of search for the causes of air quality has the closest link with the comprehensive air quality index. Strengthening the awareness of public about air pollution is conducive to the improvement of air quality. The result provides a reference for relevant departments to prevent and control air pollution.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Kai Zhang ◽  
Yan Chen ◽  
Lifeng Wu

To analyze the relationship between air quality index (AQI) and housing price, six relationship indexes between air quality index and housing price were calculated using grey spectrum theory, specifically grey association spectrum, grey cospectrum, grey amplitude spectrum, grey phase spectrum, grey lag time length, and grey condense spectrum. Three main change periods were extracted. There was a negative correction between the air quality and the housing price in Handan. The results provide a basis for the government’s measures to prevent haze.


2021 ◽  
Vol 13 (2) ◽  
pp. 874-881
Author(s):  
D. Hepsiba ◽  
L.D. Vijay Anand ◽  
J. Samson Isaac

The spread of Coronavirus in faster pace has made the World Health Organization to declare the outpour as Pandemic. Due to the drastic increase in the number of cases reported, it is clear that lockdown is most helpful to stop the spread of the disease. Our research focusses on the protective measures to be taken to safeguard against the coronavirus, positive and negative impacts of lockdown in the education of children and its management measures. All the data for our study are taken from the websites of WHO, Centers of Disease Control & Prevention, US Food & Drug Administration, National Air Quality Index of India, NASA and ISRO. The research was made on the Air Quality Index of Ashok Vihar, Delhi on the normal day and during the lockdown day, through this study its clearly evident that there was an enormous reduction in environmental pollution. Even though the government officials and the health care professionals are taking much pain to save people from this virus it is the duty of every citizen to follow the instructions in fighting against this dreadful coronavirus.


2021 ◽  
Vol 12 (10) ◽  
pp. 101186
Author(s):  
Licheng Zhang ◽  
Xue Tian ◽  
Yuhan Zhao ◽  
Lulu Liu ◽  
Zhiwei Li ◽  
...  

Koneksi ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 366
Author(s):  
Nishya Gavrila ◽  
Farid Rusdi

On July 29, 2019, Jakarta's air quality was ranked first on the AirVisual.com website with the worst air quality statement in the world. According to AirVisual.com, Jakarta's Air Quality Index (AQI) stands at 188, which means the air quality in Jakarta is not healthy. On the same date, Detik.com and Kompas.com reported on the poor quality of Jakarta's air. The reason the author chose the latter is because based on the Alexa.com site, both news portals have the highest number of visitor readers in Indonesia. This study aims to determine and analyze Detik.com and Kompas.com in framing unhealthy air quality in Jakarta. The approach in this study uses a constructivist paradigm. by using Robert N. Entman's framing model that defines problems, diagnoses causes, makes moral judgment and recommendation treatment. From the results of this study, Detik.com further explained the response of Anies Baswedan regarding poor air quality in Jakarta, while on Kompas.com that poor air quality in Jakarta was a challenge for the government and the government could be convicted if it continued. Pada tanggal 29 Juli 2019, kualitas udara Jakarta menempati peringkat pertama di situs AirVisual.com dengan pernyataan kualitas udara terburuk di dunia. Menurut AirVisual.com, Air Quality Index (AQI) Jakarta berada pada angka angka 188, yang artinya kualitas udara di Jakarta tidak sehat. Pada tanggal yang sama Detik.com dan Kompas.com memberitakan tentang buruknya kualitas udara Jakarta. Alasan penulis memilih kedua tersebut karena berdasarkan situs Alexa.com, kedua portal berita tersebut memiliki jumlah pengunjung pembaca terbanyak di Indonesia. Penelitian ini bertujuan untuk mengetahui dan menganalisis Detik.com dan Kompas.com dalam membingkai kualitas udara di Jakarta yang tidak sehat.Pendekatan dalam penelitian ini memakai paradigma konstruktivis, dengan menggunakan framing model Robert N. Entman yakni define problems, diagnose cause, make moral judgement dan treatment recommendation. Dari hasil penelitian ini, Detik.com lebih menjelaskan tanggapan dari Anies Baswedan terkait buruknya kualitas udara Jakarta, sementara pada Kompas.com bahwa buruknya kualitas udara di Jakarta merupakan tantangan pemerintah dan pemerintah bisa dipidana jika terus dibiarkan.


Over the recent years, air pollution or air contamination has become a concerning threat, being responsible for over 7 million deaths annually according to a survey conducted by “WHO”(World Health Organisation). The four air pollutants which are becoming a concerning threat to human health are namely respirable particulate matter, nitrogen oxides, particulate matter and sulphur dioxide. Hence to tackle this problem, efficient air quality prediction will enable us to foresee these undesirable changes made in the environment keeping the pollutant emission under check and control. Also inclusion of meteorological data for isolating the factors that contributes more to the Air Quality Index (AIQ) prediction is the need of the hour. A feature based weighted XGBoost model is built to predict the AIQ of Velachery, a fast developing commercial station in South India. The model resulted in low RMSE value when compared with other state of art techniques


Author(s):  
Joshua Anish S. Selwyn ◽  
Monali B. Kadam ◽  
Snigdha Thakur

Background: There is limited information describing the change on quality of air and solid waste generation if there is limited and efficient use of vehicles and the shutdown of industries producing hazardous air pollutants that have been achieved by the lockdown. Study assessed changes in the quality of air and solid waste generation due to Lockdown.Methods: It was an analytical study where the data is received from Maharashtra Pollution Control Board data for Mumbai during the period from December 2019 to July 2020. Analysis of Air pollutants like PM10, SO2, NO2, Air quality index, and solid waste generated are taken into consideration.Results: Findings of air quality data has been analysed from December to July. Where the mean air quality index before the lockdown was 251 which is very unhealthy and during lockdown was 62 which is moderate which is a 75% reduction in the pollutants and the solid waste generation before the lockdown was 6338.63 Metric tons per day which have been reduced to 4121.23 Metric tons per day which is a reduction of 34.98 %.Conclusions: This study provides information about how the environment would heal itself if there is a restriction on the use of vehicles and shutting down factories producing hazardous pollutants. This would provide the evidence for the Pollution Control Board to implement policy to improve air quality and solid waste generation, which would have a positive impact on human health and ecosystem.


2021 ◽  
Vol 12 (2) ◽  
pp. 16-35
Author(s):  
Sharanpreet Kaur ◽  
Satwinder Singh

Coronavirus is diagnosed as a human-to-human infection at the initial stage by many of the researchers. As coronavirus is primarily targeting the respiratory system of the human body, the study tries to explore the relationship between pollution and increased number of cases in the states of the USA. The objective of the study is to determine whether the air quality index (AQI) of the year 2019 has a concern in the increasing number of coronavirus disease (COVID-19) cases in USA. This study included data of coronavirus confirmed and death cases from the dates January 22nd 2020 to June 30th 2020 for more than 45 states of the USA. Six AQI defining parameters—CO, NO2, Ozone (O3), PM10, PM2.5, and SO2—are selected for the study. The present study tried to identify whether air pollution is playing a significant role in spreading the coronavirus pandemic or not. Results confirmed that air quality index (AQI) defining parameters are not the sole factor behind the rise in the number of coronavirus cases in the USA.


Author(s):  
Daxin Dong ◽  
Xiaowei Xu ◽  
Wen Xu ◽  
Junye Xie

This study explored the relationship between the actual level of air pollution and residents’ concern about air pollution. The actual air pollution level was measured by the air quality index (AQI) reported by environmental monitoring stations, while residents’ concern about air pollution was reflected by the Baidu index using the Internet search engine keywords “Shanghai air quality”. On the basis of the daily data of 2068 days for the city of Shanghai in China over the period between 2 December 2013 and 31 July 2019, a vector autoregression (VAR) model was built for empirical analysis. Estimation results provided three interesting findings. (1) Local residents perceived the deprivation of air quality and expressed their concern on air pollution quickly, within the day on which the air quality index rose. (2) A decline in air quality in another major city, such as Beijing, also raised the concern of Shanghai residents about local air quality. (3) A rise in Shanghai residents’ concern had a beneficial impact on air quality improvement. This study implied that people really cared much about local air quality, and it was beneficial to inform more residents about the situation of local air quality and the risks associated with air pollution.


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