Dataset of clinical biomarkers for prediction of the arboviral infection severity using SIMON analysis

The SISA dataset was used for the identification of clinical biomarkers that can predict the severity of the arboviral infection severity using SIMON analysis, as described (https://doi.org/10.1101/2020.08.16.252767). The dataset contains clinical data from 543 individuals hospitalized due to the arboviral infection with Dengue, chikungunya, or Zika viruses from a surveillance study in Ecuador collected from 2013 to 2017 (Suppy et al., 2020, doi: 10.1371/journal.pntd.0007969). In the SISA dataset, we have excluded columns with high level of missing values (pregnancy, <em>WomPreg</em> and complete blood count test which was not performed for all donors and includes columns: <em>PLT_count, Lymphocytes, CBC_N%, WBC_calc </em>and<em> CBC_HCT</em>). Additionally, 9 donors with missing values were removed and SIMON analysis was performed with this final dataset.