BAPC prediction of SAH cases and rates among AYAs from 2021 to 2040.

NIAID Data Ecosystem2026-05-02 收录

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https://figshare.com/articles/dataset/BAPC_prediction_of_SAH_cases_and_rates_among_AYAs_from_2021_to_2040_/28072981 数据链接链接失效反馈

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BAPC prediction of SAH cases and rates among AYAs from 2021 to 2040.

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2024-12-20

Global burden of acute lower respiratory infection associated with human parainfluenza virus in children under five years for 2018: a systematic review and meta-analysis

儿童呼吸道病毒感染

疾病负担估计

We provide the datasets used in this study. The datasets include: (1) incidence rates of hPIV associated ALRI (see "ALRI" file); (2) hospitalisation rates of hPIV associated ALRI (see "Hos" file); (3)

DataCite Commons2023-04-27 更新70

Disease burden estimates in economic evaluation studies of respiratory syncytial virus (RSV) maternal immunization: a systematic review

疾病负担估计

健康经济评估

Recently, new technologies have emerged for the prevention of respiratory syncytial virus (RSV) infections. Reliable epidemiological data are essential for accurately assessing the disease burden and

DataCite Commons2025-07-01 更新50

Data Sources Used For Pandemic (H1N1) 2009 Disease Burden Estimates.

疾病负担估计

H5N1流行病学

HAPS: Hunter Area Pathology Service; ED: Emergency Department.

Figshare2015-12-02 更新10

Relative contribution of nine diarrhoeal agents and of unknown aetiology for diarrhoeal cases in children <5 and the population ≥5 years of age.

腹泻病原体归因分析

疾病负担估计

Estimates exclude the proportion of the incidence envelope attributable to “other pathogens”, because these were not considered in Approach 1 (applied to 60 countries within EURO, AMRO sub-region A, a

NIAID Data Ecosystem60

Excess mortality rates associated with the 2009 A/H1N1 pandemic, the historical A/H3N2 pandemic, and seasonal epidemics by age group, death outcome, and disease burden model.

流行病学建模

疾病负担估计

*Estimates are based on a Poisson regression model linking weekly mortality with weekly incidence of influenza like illness (average based on 4 A/H1N1–B epidemics and based on 7 A/H3N2 epidemics for s

NIAID Data Ecosystem20

BAPC prediction of SAH cases and rates among AYAs from 2021 to 2040.

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