scholarly journals Statistical Analysis on the Effects of Lockdown and Its Impact on Childhood Education During Covid-19

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.

Author(s):  
Adam Turecki

The differences between what in the winter 2017 was presented by the government measurement station of air quality, belonging to the Chief Inspectorate of Environmental Protection (CIEP) in Bialystok in Poland, and what the citizens could see and smell, were the reason for installing the monitoring system of PM10 and PM2.5 particulate matter, in the "Laboratory of Energy-efficient Architecture and Renewable Energies" (LEARE) at the Faculty of Architecture of Bialystok University of Technology. The measurements were compared with done by CIEP and the information of “The World Air Quality Index” (WAQI). This project started in 2007. It is proving a transparent Air Quality information for more than 70 countries, covering more than 9000 stations in 600 major cities. Since 16 Nov 2017, data was also downloaded from the new European Air Quality Index (EAQI) website, created by the European Environment Agency (EEA). From the beginning of 2018, data from the public-private service AIRLY was added to the study. They installed four online dust meters in Bialystok. The density of the dust measurement network was still insufficient, so the mobile measurements were started. Recently, the use of a drone equipped with a dust meter for tests at various heights has begun. Measurements denies EAQI presentation of so good air quality in Bialystok. The levels of PM2.5 and PM10 are often much higher than those presented by EAQI and CIEP. Government measuring station, located in the center of Bialystok, poorly reflect air pollution in peripheral districts.


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


2021 ◽  
Vol 26 (1) ◽  
pp. 41-55
Author(s):  
Anisa Oktaviani ◽  
Hustinawati

Indonesia menempati peringkat ke-6 dari 98 negara paling berpolusi di dunia pada tahun 2019. Di tahun tersebut, rata-rata AQI (Air Quality Index) sebesar 141 dan rata-rata konsentrasi PM2.5 sebesar 51.71 μg/m3 yang lima kali lipat diatas rekomendasi World Health Organization (WHO). Salah satu kota penyumbang polusi udara yaitu Jakarta. Berdasarkan data ISPU (Indeks Standar Pencemar Udara) yang diambil dari SPKU (Stasiun Pemantau Kualitas Udara) Dinas Lingkungan Hidup DKI Jakarta melampirkan pada tahun 2019, Jakarta memiliki kualitas udara sangat tidak sehat. Oleh karena itu perlu adanya model Artificial Intelligence dalam memperdiksi rata-rata tingkat zat berbahaya pada udara di DKI Jakarta. Salah satu algoritma yang dapat diterapkan dalam membuat model prediksi dengan menggunakan data timeseries adalah Long Short-Term Memory (LSTM). Tujuan dari penelitian ini membangun model prediksi rata-rata ISPU di DKI Jakarta menggunakan metode LSTM yang berguna bagi para pemangku kepentingan dibidang lingkungan hidup khususnya mengenai polusi udara. Penelitian mengenai prediksi rata-rata ISPU di DKI Jakarta menggunakan metode LSTM, menghasilkan nilai evaluasi MAPE 12.28%. Berdasarkan hasil evaluasi MAPE yang diperoleh, model LSTM yang digunakan untuk prediksi rata-rata ISPU di DKI Jakarta masuk kedalam kategori akurat.


Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1246
Author(s):  
Georgios C. Spyropoulos ◽  
Panagiotis T. Nastos ◽  
Konstantinos P. Moustris

Significant portions of European cities’ population are still exposed to levels of air pollution deemed harmful by the World Health Organization. Given the high impact of air pollution both on human health and the economy, numerous low-cost electrochemical sensor monitoring systems are being installed. The market is forced to develop new air quality monitoring systems to meet the needs of providing forecasting services based on advanced technologies and protocols that utilize certain characteristics such as high accuracy, real-time monitoring, daily and yearly statistics, data access from both experts and simple users with the use of low-cost equipment. In this study, conducted in Athens, Greece, a comparison is attempted between the findings from a low-cost electrochemical sensor device and those of a static, fixed site measurement monitoring station; this comparison is based on the data quality and Air Quality Index (AQI) concerning data accuracy and quality on adverse health effects due to air pollution. With regard to the prediction of different AQI intervals, TPR ranges from 35.2% up to 100.0%, FPR from 0.0% up to 36.1% and FNR from 0.0% up to 38.1%. The outcome of this study reveals flexible and affordable alternatives adopted during the evaluation and calibration of low-cost gas sensors for monitoring.


Author(s):  
Georgios C. Spyropoulos ◽  
Panagiotis T. Nastos ◽  
Konstantinos P. Moustris

Most people living in Europe's cities are still exposed to levels of air pollution deemed harmful by the World Health Organization. In the modern world, air pollution is the foremost concern because of its impact in human health and economy. This strong connection appears gaining a lot of concern, driven by new installed low-cost electrochemical sensors monitoring systems. Highly accuracy, real-time monitoring, daily and yearly statistics, data access from experts or simple users, low-cost equipment and forecasting needs, enforce the market to develop new air quality monitoring systems using advanced technologies and protocols. In this study, a comparison via low-cost electrochemical sensors and of static, fixed site measurement monitoring station, is taking place in Athens, Greece, along with the data quality and Air Quality Index (AQI) including data accuracy and quality of data concerning adverse health effects due to air pollution. The findings presented in this work, relate to different flexible and affordable alternatives adopted during the evaluation and calibration of low-cost gas sensors for the monitoring. The significance of the positive results is particularly useful, especially considering the founding for interference, environmental conditions affections and air quality information including indexes and health recommendations for a specific location.


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 ◽  
Vol 16 (2) ◽  
pp. 628-648
Author(s):  
Souradip Basu ◽  
Rajdeep Das ◽  
Sohini Gupta ◽  
Sayak Ganguli

COVID 19 pandemic has gradually established itself as the worst pandemic in the last hundred years around the world after initial outbreak in China, including India. To prevent the spread of the infection the Government implemented lockdown measure initially from 24th March to 14th April, 2020 which was later extended to 3rd May, 2020. This lockdown imposed restrictions in human activities, vehicular movements and industrial functioning; resulting in reduced pollution level in the cities. This study was initiated with the objective to identify the change in the air quality of seven megacities in India and to determine any correlation between the active COVID cases with the air quality parameters. Air quality dataset of the most common parameters (PM2.5, PM10, SO2, NO2, NH3, CO and Ozone) along with air quality index for 70 stations of seven megacities (Delhi, Mumbai, Kolkata, Bengaluru, Hyderabad, Chennai and Chandigarh) were analysed. Comparison was made between AQI of pre lockdown and during lockdown periods. The results obtained indicate sufficient improvement in air quality during the period of the lockdown. For the next part of the study active COVID cases during the lockdown were compared to the air quality change of that period. A significant correlation between active COVID case and change in the air quality was observed for Delhi and Kolkata with 0.51 and 0.64 R2 values respectively. A positive correlation was also observed between air pollutant parameters and incidents of COVID cases in this study. Thus from the analysis it was identified that air quality index improved considerably as a result of the nationwide lockdown however, there was no significant impact of this improvement on the infection rate of the prevailing pandemic.


Author(s):  
Glory Richard ◽  
Wisdom Ebiye Sawyer ◽  
Sylvester Chibueze Izah

Rural dwellers in the Niger Delta commonly use biomass for cooking and other activities. This study investigated the air quality index of fine particulate matter 2.5 (PM2.5) and coarse particulate matter 10 (PM10) and its health implications during outdoor combustion of fuelwood in the Niger Delta, Nigeria. A mini-volume air sampler (model: AEROCET 531) was used to measure PM2.5, PM10, and total suspended particulate (TSP) in the study area. A bimonthly triplicate sampling was carried out at 3 distances in 4 different states spanning one Calendar year. The results showed that PM2.5, PM10, and TSP ranged from 19.85 – 27.95µg/m3, 55.66 – 80.59µg/m3, and 74.29 – 140.44µg/m3, respectively. There was statistical variation across the different months, locations and distances, and their interactions. The concentration of PM2.5 and PM10 occasionally exceeds the World Health Organization limits of 25µg/m3 and 50µg/m3 for 24-hourly average, respectively. The air quality index showed no contamination to slight contamination in both seasons. The air quality index indicates that the air is slightly contaminated at the emission source which decreased as distance away increased. Therefore, there is a need for the regulatory agencies to consider PM2.5 and PM10 in the monitoring of ambient air quality to forestall potential hazards associated with human exposure.


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


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