Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh
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COVID-19
Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh Samrat Kumar Dey 1
&
Md. Mahbubur Rahman 2 & Umme Raihan Siddiqi 3 & Arpita Howlader 4
Accepted: 20 August 2020 # Springer Nature Switzerland AG 2020
Abstract Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of August 13, 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh has reported 269,095 confirmed cases between 8 March and 13 August 2020, with > 1.30% of mortality rate and > 57% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on the first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open data sources on the outbreak of COVID-19 provided by the IEDCR, World Health Organization (WHO), Directorate General of Health Services (DGHS), and Ministry of Health and Family Welfare (MHFW) of Bangladesh have been used in this research. Visual exploratory data analysis (V-EDA) techniques have been followed in this research to understand the epidemiological characteristics of COVID-19 outbreak in different districts of Bangladesh between 8 March 2020 and 13 August 2020 and these findings were compared with those of other countries. In all, this is extremely important to promptly spread information to understand the risks of this pandemic and begin containment activities in the country. Keywords COVID-19 BD Dataset . Outbreak . Data analysis . Coronavirus . Visualization . SARS-CoV-2 . Bangladesh
Background * Samrat Kumar Dey [email protected] Md. Mahbubur Rahman [email protected] Umme Raihan Siddiqi [email protected] Arpita Howlader [email protected] 1
Department of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka 1205, Bangladesh
2
Department of Computer Science and Engineering (CSE), Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka 1216, Bangladesh
3
Department of Physiology, Shaheed Suhrawardy Medical College (ShSMC), Dhaka 1207, Bangladesh
4
Department of Computer and Communication Engineering (CCE), Patuakhali Science and Technology University (PSTU), Dumki, Patuakhali 8602, Bangladesh
Bangladesh is a democratic nation surrounded by east, west, and north India, Myanmar from southeast with Bay of Bengal on the southern side. As of 1 July 2017, the population size in Bangladesh is estimated at 162.7 million (male female ratio is 100.2:100). It has a unitary form of
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