ArticleChaos, solitons, and fractals2020
Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Impact of COVID-19 vaccinations in India: a state-wise analysis.BMC public health · 2025Article
- Assessing Excess Mortality of Baby Boomers from the COVID-19 Pandemic: Taiwan Omicron-naïve Cohort.Journal of epidemiology and global health · 2024Article
- The trend of poisonings before and after the COVID-19 pandemic.Scientific reports · 2024Article
- Article
- An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods.Scientific reports · 2023Article
- Fractional study of the Covid-19 model with different types of transmissions.Kuwait journal of science · 2023Article
- Mathematical optimization models for reallocating and sharing health equipment in pandemic situations.Top (Berlin, Germany) · 2023Article
- A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines.Sensors (Basel, Switzerland) · 2022Article
- Clustering of countries according to the COVID-19 incidence and mortality rates.BMC public health · 2022Article
- Determining an effective short term COVID-19 prediction model in ASEAN countries.Scientific reports · 2022Article
- A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods.Expert systems with applications · 2022Article
- Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.Journal of healthcare informatics research · 2022Article
- Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu-A Case Study.Computational and mathematical methods in medicine · 2022Article
- Fuzzy Clustering Methods to Identify the Epidemiological Situation and Its Changes in European Countries during COVID-19.Entropy (Basel, Switzerland) · 2021Article
- Using hierarchical clustering analysis to evaluate COVID-19 pandemic preparedness and performance in 180 countries in 2020.BMJ open · 2021Article
- Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach.Healthcare (Basel, Switzerland) · 2021Article
- Modeling the dynamic of COVID-19 with different types of transmissions.Chaos, solitons, and fractals · 2021Article
- Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy system.Applied soft computing · 2021Article
- Self organizing maps for the parametric analysis of COVID-19 SEIRS delayed model.Chaos, solitons, and fractals · 2021Article
- Factor analysis approach to classify COVID-19 datasets in several regions.Results in physics · 2021Article
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5 authors.
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Abstract
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 the distributions of the spread of this virus in other countries is critical. In this work, the distributions of the spread of Covid-19 in Unites States America, Spain, Italy, Germany, United Kingdom, France, and Iran were compared and clustered using fuzzy clustering technique. At first, the time series of Covid-19 datasets in selected countries were considered. Then, the relation between spread of Covid-19 and population's size was studied using Pearson correlation. The effect of the population's size was eliminated by rescaling the Covid-19 datasets based on the population's size of USA. Finally, the rescaled Covid-19 datasets of the countries were clustered using fuzzy clustering. The results of Pearson correlation indicated that there were positive and significant between total confirmed cases, total dead cases and population's size of the countries. The clustering results indicated that the distribution of spreading in Spain and Italy was approximately similar and differed from other countries.
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