使用印度合成人口的新冠病毒传播与医疗系统负担评估的基于代理模型数据集

资源简介

使用印度合成人口的新冠病毒传播与医疗系统负担评估的基于代理模型数据集

【数据集背景】

本数据集源站标题为《An Agent Based Model methodology for assessing spread and health systems burden for Covid-19 using a synthetic population from India》。源站首次发布：2020-06-04。

【数据内容】

源站原始描述：The attached files are supplementary documents for the research work mentioned in the title: 1. The attached excel file contains the synthetic population data, indicating the number of people present in each state on a given day for all the three scenarios. The readers shall acquire the data from the author(s)/ coauthors of this manuscript. 2. Supplementary figures and tables are attached in the word document

【数据结构与技术规格】

文件数 2 个，合计 407.73 KB。Supplementary_Data.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，264.40 KB。Supplementary_Figures_Tables.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，143.33 KB。数据集 DOI：10.6084/m9.figshare.12423245.v2。

【主题与分类】

源站学科分类：Health care administration、Health informatics and information systems、Infectious diseases、Epidemiology not elsewhere classified、Modelling and simulation、Indian literature。主题标签：Healthcare、Covid-19、Disease modeling、Agent Based Modeling、Agent based modelling and simulation (ABMS)、SIR Model、Synthetic Population、Infectious Disease、SARS-CoV-2、Coronavirus。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面：https://figshare.com/articles/dataset/An_Agent_Based_Model_methodology_for_assessing_spread_and_health_systems_burden_for_Covid-19_using_a_synthetic_population_from_India/12423245

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Narassima, M.S.; Pant, Rashmi; Jammy, Guru Rajesh; Yeldandi, Vijay; Choudhury, Lincoln (2020). An Agent Based Model methodology for assessing spread and health systems burden for Covid-19 using a synthetic population from India. figshare. Dataset

【使用注意】

· 源站最后修改于 2021-02-28，引用时请注意版本时效。