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COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
SARS-CoV-2 pandemic: An overview
By the end of May 2020, SARS-CoV-2 pandemic caused more than 350,000 deaths
worldwide. In the first months, there have been uncertainties on almost any area: infection …
worldwide. In the first months, there have been uncertainties on almost any area: infection …
Misinformation during a pandemic
Media outlets often present diverging, even conflicting, perspectives on reality—not only
informing, but potentially misinforming audiences. We study the extent to which …
informing, but potentially misinforming audiences. We study the extent to which …
Opinions as facts
The rise of opinion programs has transformed television news. Because they present
anchors' subjective commentary and analysis, opinion programs often convey conflicting …
anchors' subjective commentary and analysis, opinion programs often convey conflicting …
[HTML][HTML] Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance …
Background: The coronavirus disease (COVID-19) pandemic is a global health emergency
with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is …
with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is …
Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities
Little is known about the environmental conditions that drive the spatiotemporal patterns of
SARS-CoV-2. Preliminary research suggests an association with meteorological …
SARS-CoV-2. Preliminary research suggests an association with meteorological …
Local lockdowns outperform global lockdown on the far side of the COVID-19 epidemic curve
In the late stages of an epidemic, infections are often sporadic and geographically
distributed. Spatially structured stochastic models can capture these important features of …
distributed. Spatially structured stochastic models can capture these important features of …
A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level
R Ramírez-Aldana, JC Gomez-Verjan… - PLoS neglected …, 2020 - journals.plos.org
The Islamic Republic of Iran reported its first COVID-19 cases by 19th February 2020, since
then it has become one of the most affected countries, with more than 73,000 cases and …
then it has become one of the most affected countries, with more than 73,000 cases and …
Effects of information-induced behavioural changes during the COVID-19 lockdowns: the case of Italy
The COVID-19 pandemic that started in China in December 2019 has not only threatened
world public health, but severely impacted almost every facet of life, including behavioural …
world public health, but severely impacted almost every facet of life, including behavioural …