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: 2022-05-18T16:10:18+08:00

Zenodo2022-10-25 更新2026-05-25 收录

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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

数据集存储库 数据集名称: covid19_rn-br.csv 版本: 1.0 数据采集周期: 2020年4月 - 2021年8月 数据集特征: 多值型 实例数量: 12,635 属性数量: 16 存在缺失值: 是 应用领域: 医疗健康 数据来源: - 一手来源: RegulaRN（https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/）。- 二手来源: RN Mais Vacina（https://rnmaisvacina.lais.ufrn.br/cidadao/）。 数据集说明: 本数据集covid19_rn-br.csv收录了因严重急性呼吸综合征冠状病毒2型（Sars-CoV-2）住院治疗的个体相关数据。数据来源于巴西北里奥格兰德州的两大服务生态系统：一是用于管理新冠病毒相关临床及重症床位的监管系统RegulaRN，二是用于记录普通人群新冠疫苗接种信息的疫苗接种系统RN Mais Vacina。本数据集可为分析疫苗接种对该州住院患者的影响提供基础数据。表1展示了数据分析过程中使用的属性字典。 表1: 数据集特征说明。 属性 说明 数据类型 取值 usp（统一优先级评分量表，Unified Score for Prioritization）：整合了快速序贯器官衰竭评分（quick Sequential Organ Failure Assessment, qSOFA）、查尔森合并症指数（Charlson Comorbidity Index, CCI）、临床衰弱量表（Clinical Frailty Scale, CFS）以及卡氏功能状态评分相关参数。数值型 2.0、3.0、4.0、5.0、6.0及以上 age：记录患者年龄。数值型（整数年龄值） outcome：记录患者出院后的转归情况。分类型 "出院"或"死亡" comorbidities：记录患者是否存在合并症。分类型 "是"或"否" vaccine：记录患者接种的疫苗类型。分类型 "疫苗1剂"、"疫苗2剂"或空值（NaN） bed_date_admission：记录患者住院日期。日期型 bed_date_outcome：记录患者出院日期。日期型 length_hospitalization：记录患者住院总时长（单位：天）。数值型（整数天数） interval_d1_hospitalization：记录患者首剂疫苗接种至住院的间隔天数。数值型（整数天数或空值NaN） interval_d2_hospitalization：记录患者第二剂疫苗接种至住院的间隔天数。数值型（整数天数或空值NaN） dt_d1：记录患者首剂疫苗接种日期。日期型（或空值NaN） dt_d2：记录患者第二剂疫苗接种日期。日期型（或空值NaN） comorbidities_txt：记录患者具体合并症信息。分类型（自由文本或空值NaN） immunization：根据患者接种剂次及接种间隔天数，记录其免疫状态。分类型 "部分免疫"、"完全免疫"或"未接种疫苗" health_professionals：记录患者是否为医疗卫生工作者。布尔型 0或1 age_group：根据患者年龄划分的年龄组别。分类型 0-19、20-49、50-59、60-69、70-79、80-89、90岁及以上 相关论文: 《巴西北里奥格兰德州新冠疫苗接种对老年患者住院率及死亡率的降低效果》 作者: 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 及 Ricardo A. M. Valentim

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Zenodo

创建时间：

2022-05-18