Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh

Md Siddikur Rahman; Nujhat Tabassum Safa; Sahara Sultana; Samira Salam; Ajlina Karamehic-Muratovic; Hans J Overgaard

doi:10.1016/j.parepi.2022.e00266

Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh

Parasite Epidemiol Control. 2022 Aug:18:e00266. doi: 10.1016/j.parepi.2022.e00266. Epub 2022 Aug 12.

Authors

Md Siddikur Rahman¹, Nujhat Tabassum Safa², Sahara Sultana³, Samira Salam², Ajlina Karamehic-Muratovic⁴, Hans J Overgaard^{5

6}

Affiliations

¹ Department of Statistics, Begum Rokeya University, Rangpur 5404, Bangladesh.
² Department of Statistics, Jahangirnagar University, Bangladesh.
³ Institute of Information Technology, Jahangirnagar University, Bangladesh.
⁴ Department of Sociology and Anthropology, College of Arts and Sciences, Saint Louis University, United States.
⁵ Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
⁶ Faculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1430 Ås, Norway.

Abstract

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.

Keywords: COVID-19; Dengue; Health care; Prediction; Surveillance.