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July 10, 2025

AI‑Enabled Smart Surveillance Aims to Curb Mosquito‑Transmitted Illnesses in Andhra Pradesh

K
Kalpana SharmaCurrent Affairs Editor & Content Lead

Key Highlights

  • AI‑driven sensors and drones gather real‑time mosquito data across monitored zones.
  • Data‑guided insecticide drops cut chemical use and limit environmental impact.
  • Mobile applications and hospital daily feed close the loop between field action and clinical surveillance.
  • Initial deployment covers 66 sites in six major cities – Visakhapatnam, Vijayawada, Kakinada, Rajamahendravaram, Nellore, and Kurnool.

Detailed Insights

Andhra Pradesh’s Ministry of Municipal Administration and Urban Development has launched the Smart Mosquito Surveillance System (SMoSS) to confront the annual surge of dengue and malaria, especially during the monsoon period. The platform fuses AI‑enabled mosquito sensors, unmanned aerial vehicles, and a network of Internet‑of‑Things (IoT) devices. These instruments simultaneously log mosquito density, species type, temperature and humidity, providing a granular map of breeding hotspots.

By aligning insecticide fogging with pinpointed concentrations, authorities can replace blanket spraying with precision application—cutting down both cost and collateral damage. A central dashboard aggregates field data and feeds it into a collaborative mobile app where workers and residents report new breeding sites in real time. Hospital registries add daily case counts, enabling the dashboard to flag emergent clusters and trigger localized containment plans.

Performance‑based contracts will remunerate partner agencies that meet predefined targets, establishing accountability alongside technological innovation. If scalable, SMoSS could position Andhra Pradesh as a reference state for the nation’s future vector‑control strategies.

Key Concepts

  • Smart Mosquito Surveillance System (SMoSS) – An integrated AI‑driven monitoring framework that predicts mosquito population hotspots.
  • Larvicide Fogging – Targeted aerial application of larvicidal chemicals aimed at breeding sites.
  • Internet‑of‑Things (IoT) – Networked sensors that transmit environmental and vector data to a central database.
  • Vector Control Application – Mobile platforms (e.g., “Vector Control”, “Puramitra”) that enable community reporting and management.
  • Performance‑Based Payment – Funding model that rewards agencies proportionally to measurable outcomes.

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