Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran

Azarafza, Mehdi; Azarafza, Mohammad; Akgün, Haluk

doi:10.35877/454ri.asci31109

Cited by 26 publications

(17 citation statements)

References 5 publications

(4 reference statements)

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“…Made et al [34] applied geospatial visualization techniques to study the distribution of COVID-19 incidence rates in Bosnia and Herzegovina on a series of maps using ELIS (Epidemic Location Intelligence System). In another study by Chen et al [32], spatial distribution of COVID-19 incidence was shown on a map, while the rest of the analysis was largely based on statistical analysis.…”

Section: Resultsmentioning

confidence: 99%

Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method

et al. 2021

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In December 2019, SARS-CoV-2 caused the coronavirus disease to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.

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Section: Resultsmentioning

confidence: 99%

Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method

et al. 2021

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“…Spectral clustering [21][22] uses the top eigenvectors of a matrix derived from the input data and transforms the clustering problem into a graph cut problem. The graph cutting approach clusters data points by attribute such that densely packed points are in same cluster, whereas the sparse are in different clusters.…”

Section: Spectral Clustering (Sc)mentioning

confidence: 99%

Modeling Behavioural Evolution as Social Predictor for the Coronavirus Contagion and Immunization in Nigeria

Ojugo

Eboka

2021

J. Appl. Sci. Eng. Technol. Educ.

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Since the outbreak of the novel coronavirus (covid-19) pandemic from China in 2019, it has left the world leaders in great confusing due to its fast-paced propagation and spread that has left infected a world population of over Eleven Million persons with over five hundred and thirty four thousand deaths and counting with the United States of America, Brazil, Russia, India and Peru in the lead on these death toll. The pandemic whose increased mortality rate is targeted at ‘aged’ citizens, patients with low immunology as well as patients with chronic diseases and underlying health conditions. Study models covid-19 pandemic via a susceptible-infect-remove actor-based graph, with covid-19 virus as the innovation diffused within the social graph. We measure the rich connective patterns of the actor-based graph, and explore personal feats as they influence other nodes to adopt or reject an innovation. Results shows current triggers (lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent. At this, the death toll will climb from between 4.43-to-5.61-percent to over 12%.

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“…Especially during the Covid-19 pandemic, clustering was also used to prevent epidemics. As in Iran, clustering incorporates geographic information systems (GIS) based on disease situations in different regions, which helps to identify diseasespreading trends and determines the possibility of the virus spreading [22].…”

Section: Applications Of Clustering In Some Areasmentioning

confidence: 99%

Evaluating Operation Performance in Higher Education: The Case of Vietnam Public Universities

2021

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The system of public universities plays an important role in the socioeconomic development of each country. In Vietnam, public universities perform a leading role in the national higher education system’s operation and development. Therefore, public universities are assigned funds, assets, and facilities to implement goals and prioritize investment policies in the country’s education and training. However, to appropriately allocate funding, the state must reconsider the performance of the public education system. This paper presents a methodology to evaluate the operating performance of public higher education in Vietnam. The research design model includes cluster analysis and ANOVA, and Duncan post hoc tests have been used to provide an overview of public universities’ current state in Vietnam and to identify each of the strengths and weaknesses in cluster-specific groups. Based on this study’s results, educational administrators can develop a reasonable financial budget allocation plan for each university cluster.

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Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran

Cited by 26 publications

References 5 publications

Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method

Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method

Modeling Behavioural Evolution as Social Predictor for the Coronavirus Contagion and Immunization in Nigeria

Evaluating Operation Performance in Higher Education: The Case of Vietnam Public Universities

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