Tkatek Said, Belmzoukia Amine, Nafai Said, Abouchabaka Jaafar, Ibnou-Ratib Youssef
Department of Computer Sciences, Faculty of Science, Computer Research Laboratory, Ibn Tofail University, Kenitra, Morocco.
School of Health Sciences, Division of Occupational Therapy, American International College, Springfield, Massachusetts, USA.
Work. 2020;67(3):557-572. doi: 10.3233/WOR-203309.
To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis.
The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread's rate of COVID-19. It will also facilitate countries' interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic.
The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries' abilities and tools in monitoring, combating, and predicting the spread of COVID-19.
The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19.
This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.
为抗击新冠疫情、遏制疫情蔓延并实施管控，世界各国政府纷纷借助数据收集和人口监测来进行分析和预测。通过大数据和人工智能产生的海量数据，在应对这场前所未有的全球健康和经济危机中可发挥重要作用。
本研究旨在开发一个整合多种抗击新冠疫情方案的专家系统。主要方案基于一款新开发的名为通用指南（GG）应用程序的软件。该专家系统使我们能够探索、监测、预测和优化所收集的数据，以便做出有效决策，确保公民安全，预测并减缓新冠疫情的传播速度。它还将促进各国的干预措施并优化资源。此外，其他方案也可整合到该专家系统中，比如配备热成像和智能高清摄像头的自动车辆及乘客消毒系统，以及提供多种服务的多功能无人机。所有这些方案将有助于解除新冠疫情限制，并尽量减少这场疫情的影响。
本专家系统所采用的方法将助力基于大数据和人工智能（机器学习）设计和分析模型。这可增强各国在监测、抗击和预测新冠疫情传播方面的能力和工具。
通过该预测过程以及使用上述方案所获得的结果，将有助于监测、预测、生成指标并做出运营决策，以阻止新冠疫情的传播。
所开发的这一专家系统有助于在全球范围内阻止新冠疫情的传播，并使世界恢复正常运转。
