Data analytics for novel coronavirus disease

Mondal, M. Rubaiyat Hossain; Bharati, Subrato; Podder, Prajoy; Podder, Priya

doi:10.1016/j.imu.2020.100374

Cited by 72 publications

(45 citation statements)

References 19 publications

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“…More than 200 countries were affected and the World Health Organization (WHO) has declared the COVID-19 infection as a pandemic. 2 In COVID-19 conditions, each government reacts at different levels to control the number of new cases and deaths. Oxford COVID-19 Government Response Tracker (OxCGRT) tries to measure the governments' responses against COVID-19 with a systematic methodology.…”

Section: Introductionmentioning

confidence: 99%

Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index

Kayral

Buzrul

2020

J Popl Ther Clin Pharmacol

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COVID-19 infection data of Emerging 7 (E7) countries, namely Brazil, China, India, Indonesia, Mexico, Russia, and Turkey were described by an empirical model or a special case of this empirical model. Near-future forecasts were also performed. Moreover, the causalities between the Stringency Index’s indicators and total cases in E7 countries in COVID-19 period were examined. Countries were grouped as “stationary,” “transition,” and “exponential” based on the data and model fits. The proposed models produced good fits to the COVID-19 data of E7 countries and it was possible to predict the number of cases in the near future. Some policies to control total cases in E7 countries were also proposed in the final phase of this study based on the findings and forecasting in these countries.

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Section: Introductionmentioning

confidence: 99%

Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index

Kayral

Buzrul

2020

J Popl Ther Clin Pharmacol

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“…Many visualizations use traditional widgets such as two-dimensional (2D) bar and pie charts (which notoriously misrepresent area, see Cleveland, 1987). We have found several that are limited to certain regions, cities, and sometimes specific to only one state, city, or county (Arneson et al, 2020;Kaul et al, 2020;Mondal et al, 2020;Tebé et al, 2020;Zuo et al, 2020). The goal of the 3D data storytelling tool, Flow Immersive, was to create an extensible, generalizable Covid-19 visualization interface that would not be location specific and which would be accessible to multiple users through multiple devices or platforms.…”

Section: Introductionmentioning

confidence: 94%

Flow Immersive: A Multiuser, Multidimensional, Multiplatform Interactive Covid-19 Data Visualization Tool

DiBenigno¹,

Kosa

Johnson-Glenberg

2021

Front. Psychol.

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Covid-19 has prompted a surge of data visualizations that have been published for public consumption, yet, many have not had broad appeal or may have not been well-understood by laypeople. A data storytelling platform called Flow Immersive has been created to successfully engage both laypeople and experts in understanding complex information. This tool integrates emerging technologies [e.g., augmented reality (AR) and virtual reality (VR)] with a multiplatform, multiuser publishing approach. From October 2020 to December 2020, Flow’s Covid-19 AR videos captured 9 million (9,000,000) views, and have been used in multiple professional presentations. This paper documents the journey from development to deployment, and some user feedback which all led to breakthroughs in scalability and higher levels of engagement.

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“…(Tiwari and Melucci 2018). Some unsupervised algorithm was already utilized for the treatment of breast cancer, lung cancer, and coronavirus (Tiwari et al 2020;Mondal et al 2020). Therefore, we can use deep learning for the detection of diseases from image data.…”

Section: Literature Reviewsmentioning

confidence: 99%

Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

Khamparia

Bharati

Podder

et al. 2021

Multidim Syst Sign Process

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116

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Data analytics for novel coronavirus disease

Cited by 72 publications

References 19 publications

Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index

Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index

Flow Immersive: A Multiuser, Multidimensional, Multiplatform Interactive Covid-19 Data Visualization Tool

Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

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