Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review
Soon after its emergence, COVID-19 became a global problem. While different types of
vaccines and treatments are now available, still non-pharmacological policies play a critical …
vaccines and treatments are now available, still non-pharmacological policies play a critical …
Methods used in the spatial and spatiotemporal analysis of COVID-19 epidemiology: a systematic review
The spread of the COVID-19 pandemic was spatially heterogeneous around the world; the
transmission of the disease is driven by complex spatial and temporal variations in …
transmission of the disease is driven by complex spatial and temporal variations in …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …
disease is not unique. The purpose of this study is to detect the role of machine-learning …
[HTML][HTML] An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia
The current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has
emphasized the vulnerability of human populations to novel viral pressures, despite the vast …
emphasized the vulnerability of human populations to novel viral pressures, despite the vast …
Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …
grounds. Commonly used compartmental models struggle to handle an epidemiological …
Social, economic, and environmental factors influencing the basic reproduction number of COVID-19 across countries
Objective To assess whether the basic reproduction number (R 0) of COVID-19 is different
across countries and what national-level demographic, social, and environmental factors …
across countries and what national-level demographic, social, and environmental factors …
Machine learning on the COVID-19 pandemic, human mobility and air quality: A review
The ongoing COVID-19 global pandemic is touching every facet of human lives (eg, public
health, education, economy, transportation, and the environment). This novel pandemic and …
health, education, economy, transportation, and the environment). This novel pandemic and …
Geospatial analysis of COVID-19: A scoping review
The outbreak of SARS-CoV-2 in Wuhan, China in late December 2019 became the
harbinger of the COVID-19 pandemic. During the pandemic, geospatial techniques, such as …
harbinger of the COVID-19 pandemic. During the pandemic, geospatial techniques, such as …
PM2. 5 and O3 concentration estimation based on interpretable machine learning
S Wang, Y Ren, B Xia - Atmospheric Pollution Research, 2023 - Elsevier
High concentrations of PM 2.5 and ozone (O 3) seriously threaten human health. In this
study, we constructed a machine learning-based model to predict PM 2.5 and O 3 …
study, we constructed a machine learning-based model to predict PM 2.5 and O 3 …
Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method
Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …