物联网
互联网隐私
公共卫生
准备
登革热
计算机安全
互联网
医疗保健
业务
人口
环境卫生
医学
计算机科学
经济增长
政治学
万维网
病毒学
护理部
经济
法学
作者
Siddikur Rahman,Nujhat Tabassum Safa,Sahara Sultana,Samira Salam,Ajlina Karamehic-Muratovic,Hans J. Overgaard
标识
DOI:10.1016/j.parepi.2022.e00266
摘要
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.
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