Andhra Pradesh: AI-Powered System Deployed to Combat Rising Dengue Threat

Andhra Pradesh launches India’s first AI-driven Smart Mosquito Surveillance System (SMoSS) to combat rising dengue cases through real-time data, drones, and targeted mosquito control
Highly detailed mosquito
A growing threat to public health. Andhra Pradesh is deploying advanced AI and drone technology to precisely combat mosquito populations and protect citizens from diseases like dengue.Freepik
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As India grapples with the escalating challenge of mosquito-borne diseases, particularly dengue, Andhra Pradesh is taking a significant leap forward in public health. The Municipal Administration and Urban Development (MAUD) Department is set to launch a pioneering initiative: the Smart Mosquito Surveillance System (SMoSS), an Artificial Intelligence (AI)-powered program designed to proactively monitor and control mosquito populations across key municipal corporations.

The Growing Threat of Dengue

The move comes at a critical time.

Recent data indicates a concerning upward trend in dengue cases and fatalities across India, with forecasts predicting a potential 278,513 cases and 308 deaths by 2025.

These figures underscore the immense public health burden and the urgent need for more effective, data-driven interventions. For too long, communities have faced the invisible threat of mosquitoes with often "ineffective" manual methods, leaving families vulnerable to debilitating illnesses like dengue, malaria, and chikungunya.

Introducing SMoSS: A Smart Solution

SMoSS promises a transformative shift. At its core, this innovative system leverages AI-powered sensors and drones to meticulously track mosquito species, gender, and density. Imagine a world where instead of "blind spraying," civic teams receive automatic, precise alerts to deploy insecticide only where and when it's most needed.

This targeted approach not only enhances effectiveness but also leads to a reduction in chemical usage and overall costs.

How the System Works

The pilot project will roll out in 66 strategic locations across six major municipal corporations: Visakhapatnam, Vijayawada, Kakinada, Rajamahendravaram, Nellore, and Kurnool. Integral to SMoSS are Internet of Things (IoT) sensors, providing real-time data on mosquito density alongside crucial environmental factors like humidity and temperature. This granular data empowers authorities to move beyond guesswork, enabling truly smart and responsive pest control.

The image shows a modern drone dispersing a fine mist over an urban landscape,
Drones' deployed by Andhra Pradesh's Smart Mosquito Surveillance System (SMoSS). These advanced drones are key to the system's ability to reduce time, chemical usage, and costs, ensuring targeted and efficient insecticide spraying to combat the rising threat of mosquito-borne diseases and foster healthier communities."CharGPT

Furthermore, the system integrates advanced spraying drones, promising faster intervention times and greater efficiency. A central dashboard will offer live data feeds, ensuring seamless oversight of field activities and enabling swift responses during potential outbreaks.

Community Engagement and Accountability

Principal Secretary of MAUD, S Suresh Kumar, and Director P Sampath Kumar emphasized that specialized agencies would manage the project, with performance-linked payments ensuring accountability. The human element remains at the forefront of this technological deployment. Complaints from the public will be tracked via the Vector Control and Puramitra apps, ensuring that community concerns are directly integrated into the response mechanism. Hospitals will contribute by submitting daily reports of dengue, malaria, and chikungunya cases, allowing for rapid identification of hotspots and enabling intensified fogging and larvicidal measures in affected areas.

A Healthier Future for Andhra Pradesh

By embracing AI and cutting-edge technology, Andhra Pradesh is not just implementing a new system; it's investing in the health, safety, and future well-being of its citizens. SMoSS represents a proactive and intelligent defense against a persistent public health enemy, offering a beacon of hope for a future with fewer mosquito-borne diseases and healthier communities.

Reference:

1) Tripathy S, Mishra AK, Ruikar M. IJCM_278A: Forecasting of Dengue Cases and Deaths in India: An application of Auto Regressive Integrated Moving Average Model. Indian J Community Med. 2024;49(Suppl 1):S80-S81. doi:10.4103/ijcm.ijcm_abstract278

(Rehash/Dr. Divina Johncy Rosario/MSM/SE)

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