Estimation of Air Pollution Using Regression Modelling Approach for Mumbai Region, Maharashtra, India

2020 ◽  
pp. 229-247
Author(s):  
Maya Kumari ◽  
Shivangi S. Somvanshi ◽  
Syed Zubair



2018 ◽  
Vol 7 (11) ◽  
pp. 432 ◽  
Author(s):  
Lukas Marek ◽  
Malcolm Campbell ◽  
Michael Epton ◽  
Simon Kingham ◽  
Malina Storer

Chronic Obstructive Pulmonary Disease is a progressive lung disease affecting the respiratory function of every sixth New Zealander and over 300 million people worldwide. In this paper, we explored how the combination of social, demographical and environmental conditions (represented by increased winter air pollution) affected hospital admissions due to COPD in an urban area of Christchurch (NZ). We juxtaposed the hospitalisation data with dynamic air pollution data and census data to investigate the spatiotemporal patterns of hospital admissions. Spatial analysis identified high-risk health hot spots both overall and season specific, exhibiting higher rates in winter months not solely due to air pollution, but rather as a result of its combination with other factors that initiate deterioration of breathing, increasing impairments and lead to the hospitalisation of COPD patients. From this we found that socioeconomic deprivation and air pollution, followed by the age and ethnicity structure contribute the most to the increased winter hospital admissions. This research shows the continued importance of including both individual (composition) and area level (composition) factors when examining and analysing disease patterns.



2017 ◽  
Vol 603-604 ◽  
pp. 832-833 ◽  
Author(s):  
Martha Lee ◽  
Michael Brauer ◽  
Paulina Wong ◽  
Robert Tang ◽  
Tsz Him Tsui ◽  
...  


2014 ◽  
Vol 135 ◽  
pp. 317-332 ◽  
Author(s):  
P.T.B.S. Branco ◽  
M.C.M. Alvim-Ferraz ◽  
F.G. Martins ◽  
S.I.V. Sousa


2021 ◽  
Vol 7 (1) ◽  
pp. 103-112
Author(s):  
Koyejo Oduola ◽  
Zorbarile Atukomi

This paper is focused on the assessment of acceptability of solar energy as an alternate efficient energy management option using Agglomerative Hierarchy Cluster (AHC) and logistic regression modelling approach. The study population includes randomly selected shop-owners and residential occupants within the Port Harcourt city in Rivers State, Nigeria. The collected data sets were subjected to AHC analysis using a statistical package XLSTAT 2016 version 4.6. The central object identified from the application of AHC with respect to the sampled shop-owners and residential occupants as pertaining to the acceptability of solar energy as an alternate efficient energy management option was centered around the financial implication of energy generation and the political influence of the government solar energy policies for energy generation. Finally, logistic regression modelling approach was applied into developing a predictive model for the probability of general acceptance (variable ‘yes’) of solar energy as an effective energy management system. From the developed model the chance of acceptance of a solar energy management system is 1% with 59.5% rejection from the study population while it is 99% with an unawareness level of 40.51% from the study population.



2021 ◽  
Author(s):  
Isabel Luño ◽  
Ana Muniesa ◽  
Jorge Palacio ◽  
Sylvia García‐Belenguer ◽  
Belén Rosado


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