基于人工智能物联网(AI-IoT)的新兴技术在孟加拉国应对传染病的公共卫生响应中的作用。
Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh.
作者信息
Rahman Md Siddikur, Safa Nujhat Tabassum, Sultana Sahara, Salam Samira, Karamehic-Muratovic Ajlina, Overgaard Hans J
机构信息
Department of Statistics, Begum Rokeya University, Rangpur 5404, Bangladesh.
Department of Statistics, Jahangirnagar University, Bangladesh.
出版信息
Parasite Epidemiol Control. 2022 Aug;18:e00266. doi: 10.1016/j.parepi.2022.e00266. Epub 2022 Aug 12.
Digital technologies are the need of today to predict, prevent and control emerging infectious diseases. Bangladesh is one of the world's poorest and most densely populated countries and faces a double burden of two deadly diseases, COVID-19 and dengue. In response to both these diseases, the absence of a digital healthcare system and insufficient preparedness, lack of public awareness pose unique challenges and a large threat to the population, resulting in epidemics of escalating severity. This paper suggests a digital health care and surveillance system based on the internet of things (IoT) and artificial intelligence (AI) for timely identification of COVID-19 and dengue cases and improving the prevention and control strategies in the country.
数字技术是当今预测、预防和控制新发传染病的必要手段。孟加拉国是世界上最贫穷且人口最密集的国家之一,面临着两种致命疾病——新冠疫情和登革热的双重负担。针对这两种疾病,由于缺乏数字医疗系统、准备不足以及公众意识淡薄,给民众带来了独特的挑战和巨大威胁,导致疫情严重程度不断升级。本文提出了一种基于物联网(IoT)和人工智能(AI)的数字医疗与监测系统,用于及时识别新冠和登革热病例,并改进该国的预防和控制策略。