COVID-19 w Polsce

Name: COVID-19 w Polsce
Creator: Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw
Published: 2023-05-18T08:10:32+08:00

RepOD Repository for Open Data2023-05-18 更新2026-07-23 收录

波兰COVID-19疫情监测

流行病学建模

数据链接：

https://repod.icm.edu.pl/dataset.xhtml?persistentId=doi:10.18150/PXSBZM 数据链接链接失效反馈

官方服务：

资源简介：

Epidemiological Model Team – ICM UW, 2023, "COVID-19 w Polsce", https://doi.org/10.18150/PXSBZM, RepOD, V1

提供机构：

Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw

创建时间：

2023-05-18

Code for seasonality function applied to the three transmission settings across Ghana.

传染病传播模拟

流行病学建模

Code for seasonality function applied to the three transmission settings across Ghana.

NIAID Data Ecosystem80

MOESM2 of A novel model fitted to multiple life stages of malaria for assessing efficacy of transmission-blocking interventions

疟疾传播阻断评估

流行病学建模

Additional file 2. A collection of files containing the original data in list format (Additional file 2.1), a â how toâ R script (Additional file 2.2) to apply the Bayesian model to DFA multi-gener

Figshare2017-04-05 更新30

Multiple linear regression table with R2, coefficient and p value for input features (population density, normalized busy airport, pre-infected count, pre-death count) and observed factors (post-infected count and post-death count).

疫情影响因素

流行病学建模

Figshare2020-10-23 更新00

The goodness of fit for the state/province-level distributions of the numbers of cumulative confirmed COVID-19 deaths.

疫情死亡分布

流行病学建模

The goodness of fit for the state/province-level distributions of the numbers of cumulative confirmed COVID-19 deaths.

Figshare2023-11-21 更新50

Data Sheet 1_Projecting future mortality risk of pleural mesothelioma in Italy (2020–2034): Bayesian age–period–cohort analysis over 40 years of death registration.zip

胸膜间皮瘤死亡率预测

流行病学建模

IntroductionItaly, a major former producer, banned asbestos in 1992. A high incidence of mesothelioma, one of the asbestos legacies, is still observed due to the long latency and exposure from residua

NIAID Data Ecosystem10

COVID-19 w Polsce

资源简介：

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