COVID19Chile: The data represents the incidence rate per every 10,000...

In DataSetsUni: A Collection of Univariate Data Sets

The data represents the incidence rate per every 10,000 inhabitants affected by COVID-19, with and without symptoms

Description

The function allows to provide the incidence rate per every 10,000 inhabitants affected by COVID-19, with and without symptoms, in the first two months of the pandemic, these data were recorded starting on 2 March 2020.

Usage

data_COVID19Chile

Arguments

data_COVID19Chile

A vector of (non-negative integer) values.

Details

The data represents the incidence rate per every 10,000 inhabitants affected by COVID-19, with and without symptoms, in the first two months of the pandemic, these data were recorded starting on 2 March 2020. Recently, it is used by Santoro et al. (2022) and fitted the extended half-power exponential distribution.

Value

data_COVID19Chile gives the incidence rate per every 10,000 inhabitants affected by COVID-19.

Author(s)

Muhammad Imran.

R implementation and documentation: Muhammad Imran [e-mail].

References

Santoro, K. I., Gómez, H. J., Barranco-Chamorro, I., & Gómez, H. W. (2022). Extended Half-Power Exponential Distribution with Applications to COVID-19 Data. Mathematics, 10(6), 942.

See Also

data_COVIDDeath, data_COVIDfat, data_COVIDmor, data_COVIDChile

Examples

x<-data_COVID19Chile
summary(x)

DataSetsUni documentation built on May 31, 2023, 9:15 p.m.