Malaria - Online Severity Prediction
We present an open-access online calculator intended for rapid
prediction of malaria disease severity using full blood count (FBC) data.
This tool is designed to aid clinicians in differentiating between
asymptomatic and uncomplicated malaria in endemic regions,
as well as supporting the initial evaluation of severe cases in non-endemic areas.
How it Works:
The tool requires the entry of five FBC parameters in [10
3/µl blood]:
- Platelets
- White Blood Cells
- Lymphocytes
- Neutrophils
- Monocytes
FBC Ratios (NLCR, MLCR, PLCR) are automatically calculated and used for prediction.
Users can select from three different configurations depending on their diagnostic needs:
- High Sensitivity
- Balanced Sensitivity and Specificity (Default)
- High Specificity
Optional fields allow users to input disease prevalence for
calculating predictive values (NPV and PPV), age and sex, enhancing clinical utility.
For instance, high-specificity configurations may be prioritized for endemic areas to identify individuals with beginning uncomplicated malaria from individuals with asymptomatic parasitemia. Conversely, high-sensitivity settings in non-endemic areas help ensure that severe cases are not missed and treated as an outpatient.
Data usage
The data is stored on servers of the BNITM and Charité Universitätsmedizin Berlin
and used exclusively for research purposes.
For questions or data deletion requests please send an e-mail to
clemens.dierks@charite.de,
stating the relevant identifier.