Dengue Virus Serology Diagnostic Accuracy Data from ELISA Study

An anonymized dataset used for analyzing the diagnostic accuracy of four Euroimmun ELISAs for dengue virus infection. The data includes sensitivity results from 22 RT-PCR-confirmed Vietnamese patients across three illness phases and specificity results from 580 control samples, including healthy German blood donors and patients with West Nile or Zika virus infections. The dataset was authored by Sandra Saschenbrecker and last updated in April 2026.

Use Cases

• Evaluating ELISA test sensitivity and specificity for dengue virus based on the described patient and control cohorts.
• Comparing diagnostic performance of NS1, IgM, and IgG assays across acute and convalescent infection phases.
• Analyzing cross-reactivity patterns with other flaviviruses like West Nile and Zika virus based on specificity results.
• Developing combined testing strategies, such as NS1/IgM or IgM/IgG, for improved diagnostic accuracy.

Strengths

• Includes results from 22 RT-PCR-confirmed dengue patients with samples from three distinct illness phases.
• Specificity assessed with a control group of 580 samples, including 500 healthy donors and 80 patients with other flavivirus infections.
• Provides performance metrics for four distinct ELISA tests, including a novel dual-cut-off IgG assay.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 51.6 KB, indicating limited scope.

Provenance

Source

figshare, authored by Sandra Saschenbrecker.

Collection Method

Likely contains results from a diagnostic accuracy study comparing ELISA assays.

Time Range

Sample collection dates are not specified, but the study phases are defined as days post-onset (1-19 dpo).

Freshness

Last updated 2026-04-27 17:43:09; freshness should be verified.

Geography

Patient samples from Vietnam; control samples from Germany and patients with WNV/ZIKV infections.