Country-based Analysis and Data Visualization of COVID-19

Abdullah Erdal Tümer; Musab Kasım Doğan

Article Details

Country-based Analysis and Data Visualization of COVID-19

Authors:

Abdullah Erdal Tümer | Musab Kasım Doğan

Publisher:

Necmettin Erbakan University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.6 Issue 3, pp.512-524

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001326734

pISSN:

2667-7989

Keywords:

Abstract:

 The COVID-19 epidemic, which affects every aspect of human life, has resulted in millions of deaths. Today, COVID-19 is known as influenza, although its name is not fully known, and it is not fatal. Visualization of disease data is important in preventing COVID-19 and similar diseases. Governments provide reliable, understandable and easily transferable information to workplaces and institutions provides awareness in the fight against relevant diseases. The aim of this study is to compare the impact of COVID-19 in different continents and countries with the data visualization method. It is thought that information about confirmed COVID-19 cases will increase awareness. Elasticsearch, an open-source software, was used to visualize this outbreak. Data were obtained from different countries such as the USA, China and Türkiye. Data headlines are the number of confirmed COVID-19 cases, the total number of deaths, and the total number of cases recovered. An attempt has been made to provide a comprehensive understanding of the impact of COVID-19. In addition, it was evaluated that this study would shed light on the visualization of big data received from many different applications and services in real life.

 The COVID-19 epidemic, which affects every aspect of human life, has resulted in millions of deaths. Today, COVID-19 is known as influenza, although its name is not fully known, and it is not fatal. Visualization of disease data is important in preventing COVID-19 and similar diseases. Governments provide reliable, understandable and easily transferable information to workplaces and institutions provides awareness in the fight against relevant diseases. The aim of this study is to compare the impact of COVID-19 in different continents and countries with the data visualization method. It is thought that information about confirmed COVID-19 cases will increase awareness. Elasticsearch, an open-source software, was used to visualize this outbreak. Data were obtained from different countries such as the USA, China and Türkiye. Data headlines are the number of confirmed COVID-19 cases, the total number of deaths, and the total number of cases recovered. An attempt has been made to provide a comprehensive understanding of the impact of COVID-19. In addition, it was evaluated that this study would shed light on the visualization of big data received from many different applications and services in real life.

 The COVID-19 epidemic, which affects every aspect of human life, has resulted in millions of deaths. Today, COVID-19 is known as influenza, although its name is not fully known, and it is not fatal. Visualization of disease data is important in preventing COVID-19 and similar diseases. Governments provide reliable, understandable and easily transferable information to workplaces and institutions provides awareness in the fight against relevant diseases. The aim of this study is to compare the impact of COVID-19 in different continents and countries with the data visualization method. It is thought that information about confirmed COVID-19 cases will increase awareness. Elasticsearch, an open-source software, was used to visualize this outbreak. Data were obtained from different countries such as the USA, China and Türkiye. Data headlines are the number of confirmed COVID-19 cases, the total number of deaths, and the total number of cases recovered. An attempt has been made to provide a comprehensive understanding of the impact of COVID-19. In addition, it was evaluated that this study would shed light on the visualization of big data received from many different applications and services in real life.

 İnsan yaşamının her alanını etkileyen COVID-19 salgını, milyonlarca ölümle sonuçlanmıştır. Günümüzde adı tam olarak konulmamakla ve ölümcül olmamakla beraber COVID-19 günümüzde influenza olarak seyretmektedir. COVID-19 ve benzeri hastalıkların önlenmesinde hastalıklara ait verilerin görselleştirilmesi önemlidir. Özellikle hükümetlerin, iş yerlerine ve kurumlara güvenilir, anlaşılır ve kolay aktarılabilen bilgiler sunması, ilgili hastalıklarla mücadelede noktasında farkındalık sağlamaktadır. Bu çalışmanın amacı, veri görselleştirme yöntemi ile farklı kıta ve ülkelerdeki COVID-19un etkisini karşılaştırmaktır. Doğrulanmış COVID-19 vakaları hakkındaki bilgilerin farkındalığı artıracağı düşünülmektedir. Bu salgını görselleştirmek için açık kaynaklı bir yazılım olan Elasticsearch kullanılmıştır. Veriler ABD, Çin, Türkiye gibi farklı ülkelerden elde edilmiştir. Veri başlıkları, doğrulanmış COVID-19 vaka sayısı, toplam ölüm sayısı ve kurtarılan toplam vaka sayısı olarak belirlenmiştir. COVID-19un etkisi hakkında kapsamlı bir anlayış ortaya konulmaya çalışılmıştır. Ayrıca bu çalışma ile gerçek hayattaki birçok farklı uygulama ve hizmetten alınan büyük verilerin de görselleştirilmesine ışık tutacağı değerlendirilmiştir.

Article Details

Country-based Analysis and Data Visualization of COVID-19

Authors:

Abdullah Erdal Tümer | Musab Kasım Doğan

Publisher:

Necmettin Erbakan University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.6 Issue 3, pp.512-524

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001326734

pISSN:

2667-7989

COVID-19

Coronavirus

Data visualization

Elasticsearch

Logstash

KibanaCOVID-19

Koronavirüs

Veri Görselleştirme

Elasticsearch

Logstash

Kibana

Issues

Article Details

Authors: Abdullah Erdal Tümer | Musab Kasım Doğan

Publisher: Necmettin Erbakan University

Main Topics: Bilgi Modelleme | Yönetim ve Ontolojiler

Journal: Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.6 Issue 3, pp.512-524

Document Type: Article

Publication Date: 12/2024

Document Language: Turkish

Document ID (Org No.): 2001326734

pISSN: 2667-7989

Issues

Authors:

Abdullah Erdal Tümer | Musab Kasım Doğan

Publisher:

Necmettin Erbakan University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.6 Issue 3, pp.512-524

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001326734

pISSN:

2667-7989