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PICTUREE-Aedes:用于登革热数据可视化和病例预测的Web应用程序

Chunlin Yi¹, Aram Vajdi¹, Tanvir Ferdousi¹

¹Department of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA.

Pathogens (Basel, Switzerland)

|June 28, 2023

概括

一个名为PICTUREE-Aedes的新系统整合了全球数据,以预测登革热疫情. 它评估风险并预测发病率,帮助公共卫生努力对抗这种由蚊子传播的疾病.

科学领域:

公共卫生公共卫生
流行病学流行病学
环境科学环境科学

背景情况:

登革热是全球主要的健康问题,特别是在热带/亚热带地区.
现有的系统缺乏综合的全球风险评估和登革热的及时发病率预测.
有效的监测和预测工具对于管理登革热疫情至关重要.

研究的目的:

引入 PICTUREE-Aedes,这是一个用于登革热风险评估和疫情预测的综合应用程序.
为了证明该应用程序在收集,分析和模拟登革热相关数据方面的能力.
通过使用现实数据验证PICTUREE-Aedes的预测准确性.

主要方法:

开发了 PICTUREE-Aedes,可自动更新全球气候数据和历史登革热/艾迪斯蚊子记录.
整合了一种蚊子种群模型,以估计蚊子的数量,登革热的繁殖数 (R0) 和风险.
采用多种预测技术:集体卡尔曼波器,循环神经网络,粒子波器和超级集体预测.

主要成果:

PICTUREE-Aedes成功地整合了各种数据集,用于全面的登革热分析.
该应用程序的风险估计确定了导致登革热爆发的条件.
使用来自柬埔寨的疫情数据验证了预测准确性,证明了预测能力.

结论:

PICTUREE-Aedes为全球登革热风险评估和发病率预测提供了一个有价值的工具.
综合系统增强了对登革热的准备和应对策略.
这个应用程序支持公共卫生倡议,以打击蚊子传播的疾病.

关键词:

登革热发病率预测登革热发病率预测登革热风险估计估计登革热的传播登革热传播蚊子人口估计估计网络应用程序网络应用程序

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