In a significant leap towards tech-enabled public health management, the Government of Andhra Pradesh is set to roll out a pioneering initiative, Smart Mosquito Surveillance System (SMoSS), leveraging artificial intelligence and advanced technologies to combat the growing mosquito menace, particularly during monsoon seasons.
The initiative, spearheaded by the Municipal Administration and Urban Development (MAUD) Department, integrates AI-powered mosquito sensors, drones, and IoT-enabled smart devices to provide real-time insights into mosquito species, gender distribution, population density, and relevant weather parameters such as temperature and humidity. This data-driven approach is designed to replace the conventional “blind spraying” practices with targeted, responsive, and efficient vector control measures.
The pilot phase of SMoSS will be deployed across 66 key locations spanning six major urban centres: Visakhapatnam (16), Vijayawada (28), Kakinada (4), Rajamahendravaram (5), Nellore (7), and Kurnool (6). These regions have historically witnessed seasonal spikes in vector-borne diseases such as dengue and malaria, with over 5,500 dengue cases recorded in 2024 alone.
Through continuous surveillance and AI-powered alerts, SMoSS will enable civic teams to respond swiftly with spraying or fogging interventions exactly where needed. This is a shift from reactive to predictive public health management, driven by real-time analytics.
The system’s design includes drones for efficient larvicide spraying, significantly reducing operational time and chemical usage. A centralised dashboard will monitor live field data, ensuring accountability and rapid decision-making. In addition, integration with mobile apps such as Vector Control and Puramitra will allow real-time issue tracking from both field staff and citizens.
Hospitals statewide will feed daily reports of vector-borne disease cases into the system, enabling dynamic hotspot mapping and localised action plans. The state also plans to outsource operations to specialised agencies, with performance-linked compensation to ensure measurable outcomes and sustained public health impact.
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SMoSS represents a transformative example of AI deployment in urban health governance and positions Andhra Pradesh as a frontrunner in adopting smart city technologies for disease prevention. With scalability potential across India’s urban centres, it underscores how AI and IoT can be powerful enablers in the fight against infectious diseases.
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