Supporting Data and Code for Analysis

Data and Code for "Comparing Metapopulation Dynamics of Infectious Diseases under Different Models of Human Movement" by Daniel Citron et al. The two R markdown notebooks explain how to perform the analysis of malaria transmission and importation on Bioko Island in Equatorial Guinea. The notebook "Travel_Destination_Choice_Model.Rmd" explains how to model travelers' destination choices. (Supporting data: Raw_travel_data.csv). The notebook "Comparing_Metapopulation_Dynamics_companion_code.Rmd" explains how we use the travel models to generate the time at risk matrix (Dataset_S4_time_at_risk_matrix.csv) and use that matrix to produce estimates of R_0 across Bioko Island. (Supporting data: Dataset_S2_modeled_PR_and_travel.csv, Dataset_S3_travel_duration_data.csv)

本数据集与配套代码对应Daniel Citron等人发表的《不同人类移动模型下传染病的集合种群动态比较》（Comparing Metapopulation Dynamics of Infectious Diseases under Different Models of Human Movement）。
两份R Markdown笔记本详细阐释了赤道几内亚比奥科岛疟疾传播与输入病例的分析流程。其中，"Travel_Destination_Choice_Model.Rmd"阐述了旅行者目的地选择模型的构建方法，配套支撑数据为Raw_travel_data.csv。
另一部笔记本"Comparing_Metapopulation_Dynamics_companion_code.Rmd"则说明了如何利用前述旅行模型生成风险时长矩阵（Dataset_S4_time_at_risk_matrix.csv），并基于该矩阵估算比奥科岛全域的基本再生数R₀（R_0），其配套支撑数据包含Dataset_S2_modeled_PR_and_travel.csv与Dataset_S3_travel_duration_data.csv。