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Pragati
Mosquito Risk Early Warning
Methodology

How Pragati works

Pragati estimates how favourable the environment is for mosquito breeding. It does not detect mosquitoes or confirm disease.

The process

  1. Location search
    You pick a locality, ward, PIN code or landmark (Google Places).
  2. Weather & environmental data
    Live temperature, humidity, rain and soil moisture (Open-Meteo) and ground height (Google Elevation).
  3. Spatial grid
    The area is split into 30 risk zones, each with its own readings.
  4. Risk factor analysis
    Each zone's conditions are compared with what mosquitoes need.
  5. Risk score
    A 0–100 score and a colour: Low, Moderate, High or Critical.
  6. Hotspot identification
    The highest-scoring zones are ranked first.
  7. Preventive action
    Practical steps matched to the conditions found.

Factors actually used

  • Recent rain (24 h)
    More rain → more places for water to collect
  • Soil moisture
    Wet ground drains slowly
  • Low-lying ground
    Zones lower than the area's typical height collect water
  • Temperature
    Mosquitoes develop fastest around 28 °C
  • Humidity
    Humid air helps mosquitoes survive

How the score is built

  • Water accumulation = 45% rain + 30% soil moisture + 25% low-lying ground
  • Mosquito growth = 40% temperature fit + 30% humidity fit + 30% water accumulation
  • Risk score = 45% water accumulation + 55% mosquito growth
  • If a factor is unavailable it is left out and the others are re-weighted — missing data is never counted as zero.
Low <35
Moderate 35+
High 55+
Critical 75+

Not included (no reliable data)

Drainage networks, population, satellite water detection and waste data.