Your browser doesn't support javascript.
loading
Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh.
Rahman, Md Siddikur; Safa, Nujhat Tabassum; Sultana, Sahara; Salam, Samira; Karamehic-Muratovic, Ajlina; Overgaard, Hans J.
Afiliação
  • Rahman MS; Department of Statistics, Begum Rokeya University, Rangpur 5404, Bangladesh.
  • Safa NT; Department of Statistics, Jahangirnagar University, Bangladesh.
  • Sultana S; Institute of Information Technology, Jahangirnagar University, Bangladesh.
  • Salam S; Department of Statistics, Jahangirnagar University, Bangladesh.
  • Karamehic-Muratovic A; Department of Sociology and Anthropology, College of Arts and Sciences, Saint Louis University, United States.
  • Overgaard HJ; Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Parasite Epidemiol Control ; 18: e00266, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35975103
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Parasite Epidemiol Control Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bangladesh

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Parasite Epidemiol Control Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bangladesh