Plasmodium Falciparum Genetic Metrics from 12,875 Samples in Mainland Tanzania, 2021

12,875 parasite samples from symptomatic patients across 100 health facilities in Mainland Tanzania were sequenced to evaluate genetic metrics for malaria surveillance. The dataset includes estimates for complexity of infection, polyclonality, and parasite genetic differentiation across 10 regions categorized by transmission intensity. Dativa Pereus published this research data under CC-BY-4.0 in 2026.

Use Cases

• Modeling the correlation between complexity of infection and malaria transmission intensity based on the described regional strata.
• Analyzing parasite population genetic structure and connectivity using fixation index (FST) and identity by descent (IBD) metrics.
• Training classifiers to predict transmission strata from genetic diversity features like polyclonality and monoclonal proportions.

Strengths

• Includes 12,875 parasite samples, with 7,199 P. falciparum positive samples sequenced.
• Targets 1,832 single nucleotide polymorphisms distributed across the 14 P. falciparum chromosomes.
• Covers 10 regions in Mainland Tanzania, providing a countrywide perspective.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the final analyzed dataset is unknown, which may limit suitability assessment.
• Data is provided as a PDF (2.3 MB), which may require extraction to access underlying tabular data.

Provenance

Source

figshare, author Dativa Pereus.

Collection Method

Cross-sectional survey of symptomatic patients; samples collected as dried blood spots and sequenced using molecular inversion probes.

Time Range

Data collected from February to July 2021.

Freshness

Last updated 2026-04-29 05:59:51; freshness should be verified.

Geography

Mainland Tanzania, covering 10 regions.