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

Name: Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil
Creator: Zenodo
Published: 2022-10-25T16:21:53+08:00

Zenodo2022-10-26 更新2026-05-25 收录

疫苗效力评估

老年人群临床结局

数据链接：

https://zenodo.org/record/7249604 数据链接链接失效反馈

官方服务：

资源简介：

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, Gustavo F. Souza, Agnaldo S. Cruz, Ion G. M. Andrade, Lúcio Gama, Ricardo A. M. Valentim

提供机构：

Zenodo

创建时间：

2022-10-25