Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations
The real-time monitoring of reductions of economic activity by containment measures and its
effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question …
effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question …
Spatial–temporal variations in atmospheric factors contribute to SARS-CoV-2 outbreak
The global outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
infection causing coronavirus disease 2019 (COVID-19) has reached over five million …
infection causing coronavirus disease 2019 (COVID-19) has reached over five million …
Ensemble machine learning of factors influencing COVID-19 across US counties
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for
COVID-19, is a communicable disease spread through close contact. It is known to …
COVID-19, is a communicable disease spread through close contact. It is known to …
Neural Network aided quarantine control model estimation of COVID spread in Wuhan, China
R Dandekar, G Barbastathis - arXiv preprint arXiv:2003.09403, 2020 - arxiv.org
In a move described as unprecedented in public health history, starting 24 January 2020,
China imposed quarantine and isolation restrictions in Wuhan, a city of more than 10 million …
China imposed quarantine and isolation restrictions in Wuhan, a city of more than 10 million …
Global association between satellite-derived nitrogen dioxide (NO2) and lockdown policies under the COVID-19 pandemic
The COVID-19 pandemic has severely affected various aspects of life, at different levels and
in different countries on almost every continent. In response, many countries have closed …
in different countries on almost every continent. In response, many countries have closed …
The economic effects of COVID-19 containment measures
Containment measures are crucial to halt the spread of the 2019 COVID-19 pandemic but
entail large short-term economic costs. This paper tries to quantify these effects using daily …
entail large short-term economic costs. This paper tries to quantify these effects using daily …
Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning
R Dandekar, G Barbastathis - MedRxiv, 2020 - medrxiv.org
Since the first recording of what we now call Covid-19 infection in Wuhan, Hubei province,
China on Dec 31, 2019, the disease has spread worldwide and met with a wide variety of …
China on Dec 31, 2019, the disease has spread worldwide and met with a wide variety of …
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 …
COVID-19 in Asia: transmission factors, re-opening policies, and vaccination simulation
M Baniasad, MG Mofrad, B Bahmanabadi… - Environmental …, 2021 - Elsevier
This work aims to provide insights on the COVID-19 pandemic in three prime aspects. First,
we attempted to understand the association between the COVID-19 transmission rate …
we attempted to understand the association between the COVID-19 transmission rate …
Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning
Travel patterns and mobility affect the spread of infectious diseases like COVID-19.
However, we do not know to what extent local vs. visitor mobility affects the growth in the …
However, we do not know to what extent local vs. visitor mobility affects the growth in the …