Abstract

The purpose of this study was to identify gender-specific differences and best-fit coronavirus (covid-19) model for the infected people of Georgia. Statistical methods chi-squared, ANOVA, logistic regression, Poisson and negative binomial regression models were utilized to analyze Covid-19 data, which were obtained from the Georgia Department of Public Health. The difference among the mean ages of deaths for overall underlying conditions (P = 0.0248) and with ‘no’ and ‘unknown’ medical conditions (P = 0.0196) were found to be significant. The covariates regions, minimum age, maximum age, and average age were found to have a significant effect (P < 0.0001). The negative binomial regression model exhibited a best-fit model in building a death curve compared to Poisson regression model obtained by the GLM method. The findings will help to determine genderspecific future virus models for effective interventions, and they can be generalized to the population with geographic and racial/ethnic similarities.

Highlights

  • Covid-19 is the novel coronavirus, which was first found in the city of Wuhan in China in November of 2019

  • This study investigated gender differences associated with covid-19 among patients living in 156 counties where 81 counties had deaths in Georgia. [Table 1] contains the summary results of logistic regression for the binary outcome and for sociodemographic variables age, age groups, minimum, maximum, average age, gender, underlying medical conditions (MC0, MC1, and MC2), counties, regions, deaths, and alive

  • The age variable was grouped into age1, age2, and age3 to detect whether any subgroup had a higher likelihood of covid-19 deaths

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Summary

Introduction

Covid-19 is the novel coronavirus, which was first found in the city of Wuhan in China in November of 2019. Wuhan is known as an important hub in China and contains an international airport which may have rapidly increased the spread of the virus [1]. The bat was said to have infected a pangolin. Super-spreading can exponentially increase the number of individuals infected by the virus as the novel covid-19 has the potential to spread rapidly [3]. There are mainly two ways in which the disease can spread, one of them being the fecal-oral route. The fecal-oral route of transmission occurs when proper hygiene is not placed after an individual discards feces. Contamination of common bathroom areas can increase the spread of the disease through possible selfinoculation.

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