Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil

Data Repository 

Dataset name: covid19_rn-br.csv 

Version: 1.0 

Data collection period: 04/2020 - 08/2021 

Dataset Characteristics: Multivalued 

Number of Instances: 12,635

Number of Attributes: 16

Missing Values: Yes 

Area(s): Health

Sources: 

- Primary: 

RegulaRN (https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/).

- Secondary: 

RN Mais Vacina (https://rnmaisvacina.lais.ufrn.br/cidadao/).

Description: The covid19_rn-br.csv dataset is composed of data from individuals who were hospitalized due to the Sars-CoV-2 virus. The data comes from the ecosystem of services that includes the regulatory system for clinical and critical beds related to Covid-19 (RegulaRN) and the vaccination system against Covid-19 that records the data of the general population (RN Mais Vacina) from Rio Grande do Norte state, Brazil. This dataset provides elementary data to analyze the impact of vaccination on patients hospitalized in the state. Table 1 presents the dictionary used during the data analysis.

Table 1: Description of Dataset Features. 

Attributes 

Description 

datatype 

Value

usp

Unified Score for Prioritization scale, which combines the parameters described in the quick Sequential Organ Failure Assessment (qSOFA), the Charlson Comorbidity Index (CCI), the Clinical Frailty Scale (CFS) and The Karnofsky Performance Status scores

Numerical

2.0. 3.0, 4.0, 5.0, 6.0+

age

Informs the patient's age

Numerical.

integer value for age

outcome

Informs the outcome of the hospitalized patient after leaving the hospital

Categorical

“Discharge” or “Death"

comorbidities

Informs if the patient has comorbidities

Categorical.

“Yes” or “No”

vaccine

Informs which type of vaccine was applied to the patient

Categorical

“Vaccine #1”, “Vaccine #2” or NaN

bed_date_admission 

Informs the date the patient was hospitalized

Date

Date

bed_date_outcome

Informs the date that the patient left the hospital bed

Date

Date

length_hospitalization

Informs the number of days that the patient was hospitalized

Numerical

An integer value for days

interval_d1_hospitalization

Informs the interval (in days) that the patient had between the first dose and admission

Numerical

An integer value for days or NaN

interval_d2_hospitalization

Informs the interval (in days) that the patient had between the second dose and admission

Numerical

An integer value for days or NaN

dt_d1

Informs the date of application of the patient's first dose

Date

Date or NaN

dt_d2

Informs the patient's second dose application date

Date

Date or NaN

comorbidities_txt

Informs patients' comorbidities

Categorical

Free text or NaN

immunization

It informs the patient's immunization level according to the number of doses received and the interval (in days) of application of these doses

Categorical

“Partially”, “Fully” or “Not vaccinated”

health_professionals

Informs if the patient is a health professional

Boolean

0 or 1

age_group

Informs the age group of the hospitalized patient according to their age

Categorical

0-19, 20-49, 50-59, 60-69, 70-79, 80-89, 90+

Article: Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil

Authors: Ana Isabela L. Sales-Moioli, Leonardo J. Galvão-Lima, Talita K. B. Pinto, Pablo H. Cardoso, Rodrigo D. Silva; Felipe Fernandes, Ingridy M. P. Barbalho, Fernando L. O. Farias, Nicolas V. R. Veras, Daniele M. S. Barros; Agnaldo S. Cruz; Ion G. M. Andrade; Lúcio Gama and Ricardo A. M. Valentim