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Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Rabia Almamlook

Department of Industrial and Entrepreneurial Engineering & Engineering Management, Western Michigan University, 1903 W. Michigan Ave., Kalamazoo, MI 49008-5336, United States

Publications
  • Research   
    Investigating the Male and Older People Susceptibility to Death from (COVID-19) Using Statistical Models
    Author(s): Rabia Almamlook*

    Introduction: Coronavirus disease 2019 (COVID-19) is one of the serious infectious diseases that is caused by a specific virus called syndrome coronavirus 2 viruses (SARSCoV-2). The rapid spread of COVID19 raises serious concerns about the globally growing death rate. Currently, cases are doubled in one week around the world. Recorded data shows that COVID-19 does not infect all patients equally. This opportunistic virus can affect people of any age and gender. Information about the reason for high mortality in the age group 60 and older is limited. The gender differences among all deceased are poorly known. To understand more about COVID-19, this study aims to examine the different age groups among the death and focuses on comparing genders between males and females. Method: Statistical analysis including Pearson’s Chi-squared (χ2.. Read More»
    DOI: 10.37421/2155-6180.2020.11.445

    Abstract HTML PDF

Google Scholar citation report
Citations: 3254

Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report

Journal of Biometrics & Biostatistics peer review process verified at publons

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