[HTML][HTML] Examining the association between socio-demographic composition and COVID-19 fatalities in the European region using spatial regression approach

S Sannigrahi, F Pilla, B Basu, AS Basu… - Sustainable cities and …, 2020 - Elsevier
The socio-demographic factors have a substantial impact on the overall casualties caused
by the Coronavirus (COVID-19). In this study, the global and local spatial association …

Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe

M Amdaoud, G Arcuri, N Levratto - The European Journal of Health …, 2021 - Springer
Often presented as a global pandemic spreading all over the world, COVID-19, however, hit
not only countries but also regions differently. The objective of this paper is to focus on the …

Estimating PM2. 5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017

B Guo, D Zhang, L Pei, Y Su, X Wang, Y Bian… - Science of The Total …, 2021 - Elsevier
Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) poses
adverse impacts on public health and the environment. It is still a great challenge to estimate …

Investigating the relationship between the built environment and relative risk of COVID-19 in Hong Kong

J Huang, MP Kwan, Z Kan, MS Wong… - … International Journal of …, 2020 - mdpi.com
Understanding the relationship between the built environment and the risk of COVID-19
transmission is essential to respond to the pandemic. This study explores the relationship …

Spatiotemporal variation of landscape patterns and their spatial determinants in Shanghai, China

Y Feng, Y Liu, X Tong - Ecological Indicators, 2018 - Elsevier
Landscape patterns are significantly affected by biophysical factors and human activities,
and the identification of their determinants is important in analyzing landscape changes. We …

Comparative analysis of random forest, exploratory regression, and structural equation modeling for screening key environmental variables in evaluating rangeland …

N Kaveh, A Ebrahimi, E Asadi - Ecological Informatics, 2023 - Elsevier
Abstract Above-Ground Biomass (AGB) is a key indicator of rangeland health and
productivity, as well as ecosystem conservation and resource sustainability. Estimating …

Spatiotemporal meta-analysis: reviewing health psychology phenomena over space and time

BT Johnson, EK Cromley, N Marrouch - Health Psychology Review, 2017 - Taylor & Francis
Individual studies of health psychology are samples taken in particular places at particular
times. The results of such studies manifest multiple processes, including those associated …

Ambient PM2.5 air pollution exposure and hepatocellular carcinoma incidence in the United States

T VoPham, KA Bertrand, RM Tamimi, F Laden… - Cancer Causes & …, 2018 - Springer
Purpose To conduct the first epidemiologic study prospectively examining the association
between particulate matter air pollution< 2.5 µm in diameter (PM 2.5) exposure and …

Using exploratory regression to identify optimal driving factors for cellular automaton modeling of land use change

Y Feng, X Tong - Environmental monitoring and assessment, 2017 - Springer
Defining transition rules is an important issue in cellular automaton (CA)-based land use
modeling because these models incorporate highly correlated driving factors …

The overall mortality caused by COVID-19 in the European region is highly associated with demographic composition: A spatial regression-based approach

S Sannigrahi, F Pilla, B Basu, AS Basu - arXiv preprint arXiv:2005.04029, 2020 - arxiv.org
The demographic factors have a substantial impact on the overall casualties caused by the
COVID-19. In this study, the spatial association between the key demographic variables and …