Dengue cases rose from 6.5 million to 14.6 million as Mosqitter launches AI surveillance
GS3Economy · S&T · Environment · Security· Biotechnology & health research· Prelims·
AI in public health surveillance: a relevant GS3 Science & Technology and health infrastructure case study.
Why in news
The World Health Organization reported a significant rise in global dengue cases, prompting the startup Mosqitter to launch an AI-driven surveillance system.
Background
Dengue cases rose from 6.5 million in 2023 to 14.6 million in 2024 according to the WHO. Mosqitter, a Pennsylvania-based startup, is launching the Febris Monitoring System to provide chemical-free mosquito surveillance across five continents.
Facts for Prelims
- FactDengue cases rose from 6.5 million in 2023 to 14.6 million in 2024
- BodyWorld Health Organization (WHO) reported the global dengue statistics
- S&TFebris Monitoring System uses AI for mosquito surveillance
- FactMosqitter is a Pennsylvania-based startup using chemical-free traps
Prelims practice question
Which organization reported the significant rise in global dengue cases from 6.5 million to 14.6 million?
- (a)Red Cross
- (b)UNICEF
- (c)World Bank
- (d)World Health Organization
Show answer
Answer: (d) World Health Organization — The World Health Organization reported the global dengue statistics.
For Mains
Q. Discuss how the integration of Artificial Intelligence in public health surveillance can mitigate the spread of vector-borne diseases in tropical regions.
Dimensions to cover in your answer
- Data interoperability: Challenges in integrating real-time AI surveillance data with existing public health infrastructure
- Cost-benefit analysis: Balancing the high initial investment of AI surveillance against the long-term reduction in healthcare costs
- Privacy-surveillance trade-off: Managing data collection protocols in urban areas while ensuring public privacy
Keywords: Vector-borne diseases · AI surveillance · Public health infrastructure · Predictive analytics · Epidemiological monitoring
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