Resident population (N.º)

Name: Resident population (N.º)
Creator: Instituto Nacional de Estatística
Published: 2026-06-04T08:13:50+08:00

data.europa2026-06-01 更新2026-06-04 收录

公共卫生调查

医疗资源利用

数据链接：

https://data.europa.eu/data/datasets/ine-0001710?locale=en 数据链接链接失效反馈

官方服务：

资源简介：

Resident population (N.º) by place of residence, gender, age group and scale of medical appointments in the 3 months prior to the interview; Non-periodic - INE, National Health Survey - 2005 https://www.ine.pt/xurl/indx/0001710/PT

提供机构：

Instituto Nacional de Estatística

National Hospital Discharge Survey, 1985

出院统计

医疗资源利用

This annual survey was conducted to provide current data on hospitalization and morbidity in the United States. The data include basic demographic characteristics of the discharged patients (age, sex,

DataCite Commons2025-01-27 更新100

Health Survey Northern Ireland, 2022-2023

公共卫生调查

身体测量指标

<p>The <i>Health Survey Northern Ireland</i>&nbsp;(HSNI) was commissioned by the Department of Health in Northern Ireland and the Central Survey Unit (CSU) of the Northern Irelan

DataCite Commons2026-04-15 更新40

Gini index for the LOS per admission and per patient, for each specialty department.

医疗资源利用

住院时间分布

Gini index for the LOS per admission and per patient, for each specialty department.

NIAID Data Ecosystem00

Taxes (Series 2007-2009 - €) of Companies

企业税务统计

行业经济分析

Taxes (Series 2007-2009 - €) of Enterprises by economic activity (CAE Rev. 3) and Legal form; Annual - NSI, System of integrated company accounts https://www.ine.pt/xurl/indx/0004781/PT

data.europa2026-06-01 更新60

Supporting information, including S1 Table (Acute respiratory illness diagnosis codes), S2 Table (Counts of patients with comorbidities included in Charlson comorbidity index), S3 Table (Individual characteristics by infecting virus and severity threshold reached); S4 Table (Best-fitting distributions for care utilization pathways for all infections using a 20-day follow-up period); S5 Table (Best-fitting distributions for care utilization pathways at each acuity threshold using a 60-day follow-up period); S6 Tale (Care utilization pathways associated with each infecting virus using a follow-up period of 60 days); S7 Table (Best-fitting distributions for care utilization pathways for all infections using a 60-day follow-up period); S8 Table (Hospital length of stay estimates for admissions leading to discharge or mortality); S9 Table (Proportions of cases attaining or exceeding each acuity threshold, by age); S10 Table (Proportions of cases attaining or exceeding each acuity thresh

呼吸道感染流行病学

医疗资源利用

NIAID Data Ecosystem00