Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators
The coronavirus has a high basic reproduction number (R 0) and has caused the global
COVID-19 pandemic. Governments are implementing lockdowns that are leading to …
COVID-19 pandemic. Governments are implementing lockdowns that are leading to …
Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries
The numbers of confirmed cases of new coronavirus (Covid-19) are increased daily in
different countries. To determine the policies and plans, the study of the relations between …
different countries. To determine the policies and plans, the study of the relations between …
[HTML][HTML] Factor analysis approach to classify COVID-19 datasets in several regions
The aim of this research is to investigate the relationships between the counts of cases with
Covid-19 and the deaths due to it in seven countries that are severely affected from this …
Covid-19 and the deaths due to it in seven countries that are severely affected from this …
Covid-19 cases and deaths in southeast Asia clustering using k-means algorithm
J Hutagalung, NLWSR Ginantra… - Journal of Physics …, 2021 - iopscience.iop.org
Covid-19 is an infectious illness caused by a newly identified form of coronavirus. This is a
new virus and illness that was previously unknown before the December 2019 outbreak in …
new virus and illness that was previously unknown before the December 2019 outbreak in …
Clustering and correlation methods for predicting coronavirus COVID-19 risk analysis in pandemic countries
An extraordinary outbreak of pneumonia in Wuhan City, China, was subsequently termed as
COVID-19 emerged in December 2019. The virus is also known as an infectious disease …
COVID-19 emerged in December 2019. The virus is also known as an infectious disease …
Coronavirus pandemic: A predictive analysis of the peak outbreak epidemic in South Africa, Turkey, and Brazil
S Djilali, B Ghanbari - Chaos, Solitons & Fractals, 2020 - Elsevier
In this research, we are interested in predicting the epidemic peak outbreak of the
Coronavirus in South Africa, Turkey, and Brazil. Until now, there is no known safe treatment …
Coronavirus in South Africa, Turkey, and Brazil. Until now, there is no known safe treatment …
[HTML][HTML] Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach
RM Carrillo-Larco, M Castillo-Cara - Wellcome open research, 2020 - ncbi.nlm.nih.gov
Background: The COVID-19 pandemic has attracted the attention of researchers and
clinicians whom have provided evidence about risk factors and clinical outcomes. Research …
clinicians whom have provided evidence about risk factors and clinical outcomes. Research …
Analysis of the COVID-19 pandemic: lessons towards a more effective response to public health emergencies
Abstract Background The pandemic of Coronavirus Disease 2019 (COVID-19) is a timely
reminder of the nature and impact of Public Health Emergencies of International Concern …
reminder of the nature and impact of Public Health Emergencies of International Concern …
[HTML][HTML] Clustering analysis of countries using the COVID-19 cases dataset
There is a worldwide effort of the research community to explore the medical, economic and
sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions …
sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions …
Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches
The G20 countries are the locomotives of economic growth, representing 64% of the global
population and including 4.7 billion inhabitants. As a monetary and market value index, real …
population and including 4.7 billion inhabitants. As a monetary and market value index, real …