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Self-reported influence of the interventions: The influenza experiment.

Figshare2023-03-21 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Self-reported_influence_of_the_interventions_The_influenza_experiment_/22311016 数据链接链接失效反馈

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Self-reported influence of the interventions: The influenza experiment.

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创建时间：

2023-03-21

COVID-19药物疗效评估

干预效果流行病学评估

Objective. We aimed to identify mortality trends associated with COVID-19 deaths in Peru during April through November 2020, when mass treatments with ivermectin (IVM), a drug of Nobel Prize-honored d

NIAID Data Ecosystem40

Decreasing new case indices of countries by intervention solution.

干预效果流行病学评估

动物疾病传播控制

Decreasing new case indices of countries by intervention solution.

NIAID Data Ecosystem30

Replication Data for Business Restrictions and COVID-19 Fatalities

公共卫生政策

干预效果流行病学评估

Files used to create the tables in the paper Business Restrictions and COVID-19 Fatalities. Sample datasets are included. Programs are written in either Stata or Python.

Harvard Dataverse2021-08-23 更新20

Sensitivity analysis: range of parameter values considered and influence on the relative reduction in 3-year cumulative incidence in arms A and B compared to arm C in each country.

干预效果流行病学评估

临床试验敏感性分析

Regression exploring the linear dependence of the relative reduction in 3-year cumulative incidence in arms A and B compared to arm C (on the linear-scale) on process parameters (see File S1 for detai

Figshare2015-12-02 更新30

Intervention rate ratios for influenza-like illness.

干预效果流行病学评估

流行病学模型

aIntracluster correlation coefficient: 0.0004 in unadjusted model (N = 938), −0.0005 in model adjusting for gender, race, ethnicity, smoking status, physical activity, and having ever received a vacci

NIAID Data Ecosystem20

Self-reported influence of the interventions: The influenza experiment.

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