Data from: Modeling the potential of introducing different Wolbachia–infected mosquitoes to control Aedes-borne arboviral infections

Description of Dataset
This dataset contains the results and outputs generated from model simulations conducted in MATLAB and R programming languages for the research project titled "Modeling the Potential of Introducing Different Wolbachia–Infected Mosquitoes to Control Aedes-Borne Arboviral Infections."
The objective of this study was to explore the effectiveness of introducing various strains of Wolbachia-infected mosquitoes as a means of controlling Aedes-borne arboviral infections, such as dengue, Zika, and chikungunya.
Dataset Overview: The dataset encompasses various components that provide valuable insights into the modeling simulations conducted during the research project. The dataset includes:

Model Parameters:

Values and specifications of the input parameters used in the mathematical models, such as disease transmission rates, recovery rates, mosquito population dynamics, and Wolbachia infection dynamics.
Details on the assumptions and calibration techniques employed in determining model parameters.

Model Implementation:

Code files written in MATLAB and R programming languages used to implement the mathematical models.
Information on the software versions and packages utilized in executing the simulations.

Simulated Data:

Numerical outputs generated from the simulations, such as disease incidence, prevalence, and mosquito population dynamics.
Model-generated predictions of disease transmission patterns, impact of Wolbachia introduction, and associated changes in arboviral infection dynamics.

Sensitivity Analyses:

Outputs from sensitivity analyses, investigating the influence of key model parameters on the outcomes of the simulations.
Results of parameter variation and uncertainty analyses to understand the robustness and reliability of the model predictions.

Graphs and Visualizations:

Plots, graphs, and visual representations of the simulation results, aiding in the interpretation and visualization of the model outputs.
Figures depicting the trends, patterns, and dynamics of disease transmission and mosquito population dynamics under different scenarios.

Data Format: The dataset is organized into folders, with each folder containing relevant files associated with the modeling simulations and analyses. The code files are presented as text files or script files with the .m (MATLAB) or .R (R) file extensions. Simulated data and analysis outputs are provided in CSV (Comma-Separated Values) or Excel spreadsheet format.
The dataset also contains the Wolbachia field trials in 32 suburbs in the city of Townsville, which is one of the largest cities in North Queensland, Australia with a population of approximately 187,500. From October 2014, wMel-Wolbachia-infected mosquitoes were continually released for a 28-month period. Releases were carried out using mosquito release containers—Mozzie boxes and BioGents Sentinel mosquito traps, set up for subsequent mosquito capture.
The dataset (Townsville dengue case notifications data (for locally acquired and imported cases)) used for this analysis were extracted from O’Neill et al. Originally, the information regarding all laboratory confirmed and clinically probable diagnosis of symptomatic dengue from the beginning of the year 2001 to the first quarter of 2019 was supplied by the Communicable Disease Branch of Queensland Health. These data described the dengue case notifications in Townsville by month of illness onset and history of recent foreign travel by individuals in the 3–12 days before illness onset.
Overall, the dataset for the project "Modeling Simulations for 'Modeling the Potential of Introducing Different Wolbachia–Infected Mosquitoes to Control Aedes-Borne Arboviral Infections'" comprises the model parameters, implementation code, simulated outcomes, sensitivity analyses, and visualizations from the research project. By making this comprehensive dataset available, it will facilitate further research and exploration into the potential of using Wolbachia-infected mosquitoes for managing Aedes-borne arboviral infections.

数据集说明
本数据集包含针对研究项目《引入不同沃尔巴克氏体（Wolbachia）感染蚊虫以防控伊蚊（Aedes）传播的虫媒病毒（Arboviral）感染》所开展的MATLAB与R语言模型模拟生成的结果与输出。

本研究旨在探索引入不同品系沃尔巴克氏体感染蚊虫作为防控登革热、寨卡（Zika）、基孔肯雅热（chikungunya）等伊蚊传播虫媒病毒感染手段的有效性。

数据集概览：本数据集涵盖多项组件，可为研究项目中的建模模拟提供宝贵见解，具体包含：

模型参数：
数学模型中使用的输入参数取值与规格说明，涵盖疾病传播速率、恢复速率、蚊虫种群动态及沃尔巴克氏体感染动态等；确定模型参数时所采用的假设与校准方法细节。

模型实现：
用于实现数学模型的MATLAB与R语言代码文件；执行模拟所使用的软件版本与相关包信息。

模拟数据：
模拟生成的数值输出，包括疾病发病率、患病率及蚊虫种群动态；模型生成的疾病传播模式预测、沃尔巴克氏体引入的影响及虫媒病毒感染动态相关变化。

敏感性分析：
敏感性分析的输出结果，用于探究关键模型参数对模拟结果的影响；参数变异与不确定性分析结果，以明确模型预测的稳健性与可靠性。

图表与可视化内容：
模拟结果的绘图、图表及可视化展示，辅助模型输出的解读与可视化呈现；展示不同场景下疾病传播与蚊虫种群动态的趋势、模式及动态变化的图表。

数据格式：本数据集按文件夹组织，每个文件夹包含与建模模拟及分析相关的对应文件。代码文件以扩展名为.m（MATLAB）或.R（R）的文本文件或脚本文件形式提供。模拟数据与分析输出采用CSV（逗号分隔值）或Excel电子表格格式。

本数据集还包含澳大利亚北昆士兰州汤斯维尔市（该市为北昆士兰州最大城市之一，人口约187500）32个郊区的沃尔巴克氏体实地试验数据。2014年10月起，研究人员持续28个月释放wMel-沃尔巴克氏体感染蚊虫，释放方式为使用蚊虫释放容器——Mozzie boxes与BioGents Sentinel mosquito traps，用于后续蚊虫捕获。

本分析使用的数据集（汤斯维尔登革热病例通报数据，含本地感染与输入性病例）源自O’Neill等人的研究。最初，昆士兰州卫生厅传染病分支提供了2001年初至2019年第一季度所有实验室确诊及临床疑似的有症状登革热诊断信息。这些数据按发病月份及发病前3至12天内个体近期境外旅行史，记录了汤斯维尔地区的登革热病例通报情况。

总体而言，本研究项目《"引入不同沃尔巴克氏体感染蚊虫以防控伊蚊传播的虫媒病毒感染"建模模拟》的完整数据集包含研究项目中的模型参数、实现代码、模拟结果、敏感性分析及可视化内容。通过公开这一综合性数据集，将有助于推动利用沃尔巴克氏体感染蚊虫管理伊蚊传播虫媒病毒感染的相关后续研究与探索。