Bengaluru Wastewater Viral Loads and COVID-19 Cases by Sewage Treatment Plant Catchment

A dataset mapping 28 sewage treatment plants (STPs) to 198 administrative wards in Bengaluru, India, for correlating localized wastewater viral loads with clinical COVID-19 case data. The data was collected by Siva Athreya during a citywide surveillance effort initiated in August 2021, focusing on the first Omicron wave. The study found strong correlations at both STP and city levels but no reliable lead time for early warning.

Use Cases

• Correlating wastewater viral loads with reported clinical cases based on STP catchment areas.
• Assessing the spatial granularity of wastewater surveillance for real-time monitoring of infectious diseases.
• Evaluating the potential and limitations of wastewater data for early outbreak detection in urban settings.

Strengths

• Includes data from 28 sewage treatment plants and 198 administrative wards, providing localized granularity.
• Study design incorporates both aggregated city-level and individual STP-level correlation analysis.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Temporal coverage is limited to the first Omicron wave of the COVID-19 pandemic.
• The dataset is very small (13.5 KB), indicating limited scope or summary-level data.

Provenance

Source

Siva Athreya via figshare.

Collection Method

Data likely gathered from a citywide wastewater surveillance effort and administrative health records.

Time Range

Initiated August 2021, covering the first Omicron wave.

Freshness

Last updated 2026-04-10 17:37:20; freshness should be verified.

Geography

Bengaluru, India.