Malaria Antibody Responses and Surveillance Detectability in The Gambia

The Gambia's Upper River Region provides the context for this dataset of 5,300 seropositive individuals from 32 villages. It contains antibody response data to 19 Plasmodium falciparum antigens, used to model the detectability of asymptomatic malaria infections. The dataset was authored by Rihana A. Aydin and last updated on 2026-04-21.

Use Cases

• Training classification models to predict surveillance detectability groups based on antibody profiles.
• Identifying key predictive antigens for malaria surveillance, such as PfSEA and PfMSP1-19.
• Stratifying analyses by transmission intensity using PCR prevalence thresholds (<5% and <10%).
• Comparing the performance of individual antigen models against combined immune score approaches.

Strengths

• Data from 5,300 individuals across 32 villages provides a substantial sample size for analysis.
• Analysis is based on antibody responses to 19 specific Plasmodium falciparum antigens.
• Model performance metrics are provided, with precision-recall AUC scores ranging from 0.89 to 0.93.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is stored in a DOCX file format, which is less common for structured data analysis than CSV or similar formats.

Provenance

Source

figshare

Collection Method

Data analyzed from seropositive individuals following mass drug administration in The Gambia.

Freshness

Last updated 2026-04-21 05:35:12; freshness should be verified.

Geography

32 villages in the Upper River Region, The Gambia.