EpiClim: Weekly District-Wise all-India multi-epidemics Climate-Health Dataset for accelerated GeoHealth research

This dataset provides district-level, weekly data for various epidemic outbreaks across India, covering the period from 2009 to 2023. It bridges the gap between climate variability and public health outcomes by integrating epidemiological data with key climatic and environmental parameters. The dataset is curated for applications in predictive climate-health modeling, enabling researchers to analyze the interplay between climate factors and disease outbreaks.

Key Features:

1. Epidemiological Data:

   • Disease Types: Includes diseases such as Acute Diarrhoeal Disease, Malaria, and others.
   • Metrics: Number of cases and deaths per district per week.

2. Temporal Details:

   • Weekly breakdown of outbreak periods (e.g., "1st week", "2nd week").
   • Specific dates (day, month, and year).

3. Geographical Information:

   • District and state/union territory names.
   • Latitude and longitude for precise spatial analysis.

4. Climatic and Environmental Parameters:

   • Precipitation (preci): Daily precipitation in mm.
   • Leaf Area Index (LAI): Proxy for vegetation health.
   • Temperature (Temp): Average temperature in Kelvin.

Structure:

• Total Records: 8,985 rows.
• Columns:
  • week_of_outbreak: Week of disease outbreak.
  • state_ut: Name of the state or union territory.
  • district: Name of the district.
  • Disease: Type of disease reported.
  • Cases: Number of reported cases.
  • Deaths: Number of deaths reported (if available).
  • day, mon, year: Day, month, and year of the record.
  • Latitude, Longitude: Geographical coordinates of the district.
  • preci: Daily precipitation in mm.
  • LAI: Leaf Area Index, indicating vegetation density.
  • Temp: Average temperature in Kelvin.