Yearly Distribution of Endemic Mouzas for Visceral Leishmaniasis in Bangladesh, 2017-2025

Bangladesh's first Mouza-level micro-stratification for visceral leishmaniasis (VL) uses national DHIS2 line-list data from January 2017 to June 2025. The dataset categorizes 17,123 Mouzas across 128 Upazilas by endemicity level based on case counts. It was created by Shomik Maruf and published on figshare in May 2026.

Use Cases

• Refine risk maps for visceral leishmaniasis based on Mouza-level endemicity categories.
• Guide resource allocation for interventions like indoor residual spraying based on high-endemic Mouza locations.
• Monitor the reduction of endemic Mouzas over time to assess elimination program success.
• Identify emerging hotspots for visceral leishmaniasis to prevent resurgence.

Strengths

• Covers a nine-year period from 2017 to 2025.
• Analyzes data at the granular Mouza level, the smallest administrative unit for land records.
• Includes 17,123 Mouzas across 128 case-reporting Upazilas.
• Identifies 33 high-endemic Mouzas that accounted for 35% of total incident cases.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the case-reporting Upazilas in Bangladesh.

Provenance

Source

Routinely reported VL line-list data from the national DHIS2 platform.

Collection Method

Mouzas were categorized by endemicity level based on reported VL case counts over the study period.

Time Range

January 2017 – June 2025

Freshness

Last updated 2026-05-11 17:44:51; freshness should be verified.

Geography

Bangladesh, specifically 128 case-reporting Upazilas across Mymensingh, Dhaka, and Rajshahi divisions.