Descriptive analysis of COVID-19 patients in the context of India

Vaibhav Bhatnagar, Ramesh Chandra Poonia, Pankaj Nagar, Sandeep Kumar, Vijander Singh, Linesh Raja, Pranav Dass

2020Journal of Interdisciplinary Mathematics143 citationsDOI

Abstract

AbstractCOVID-19 is now becoming a global issue and declared as pandemic by world health organization. This virus spread out from China to entire world. This paper performed a descriptive analysis of COVID-19 in special reference of India. Different attributes such as age, gender, travel history, communication type and current status are analyzed. Till now it can be stated from the study that age is not a significant factor that affect a person to be captured by this disease, also age attribute is normally distributed in current dataset. A significant relationship is found between gender (male and female) and Transmission Type (imported from other country or communicated from local) of the patients.Subject Classification: 68Q25Keywords: COVID-19WHOSARSMERSSPSSR Studio

Topics & Concepts

PandemicContext (archaeology)ChinaCoronavirus disease 2019 (COVID-19)Descriptive statisticsDemographyGeographyAffect (linguistics)Descriptive researchEconomic growthAdvertisingSocioeconomicsMedicineDiseasePsychologySociologyBusinessStatisticsSocial scienceMathematicsPathologyEconomicsInfectious disease (medical specialty)CommunicationArchaeologyCOVID-19 epidemiological studiesCOVID-19 diagnosis using AISARS-CoV-2 and COVID-19 Research