ArticleParasite epidemiology and control2022
Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh.
Article in Parasite epidemiology and control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Climate change impact on disease emergence and antimicrobial resistance: A perspective on transmission and detection.iScience · 2026Review
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- Artificial Intelligence in Public Health Education: A Scoping Review of Workforce Competency Development.Health science reports · 2026Article
- Knowledge and beliefs about climate change and emerging infectious diseases in bangladesh: implications for one health approach.Journal of health, population, and nutrition · 2025Article
- Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree-Based Machine Learning Model.Health science reports · 2025Article
- Impact of Climate Change on Emerging Infectious Diseases and Human Physical and Mental Health in Bangladesh.Health care science · 2025Article
- Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review.PeerJ. Computer science · 2025Article
- Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024Article
- Dengue fever in hyperglycemic patients: an emerging public health concern demanding eyes on the effective management strategies.Health science reports · 2024Article
- AI-Enhanced Tools and Strategies for Airborne Disease Prevention in Cultural Heritage Sites.Epidemiologia (Basel, Switzerland) · 2024Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Article
- Effective Preventative Measures are Essential to Lower Disease Burden From Dengue and COVID-19 Co-infection in Bangladesh.Environmental health insights · 2023Article
- A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers.PloS one · 2022Article
- Dengue outbreak 2023 in Bangladesh: From a local concern to a global public health issue.Science progressReview
- Exploring the role of artificial intelligence toward management of HIV and TB co-infection in Nigeria: a comprehensive narrative review.Therapeutic advances in infectious diseaseReview
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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