A comprehensive hematological dataset for dengue incidence in Bangladesh.

This study presents a comprehensive statistical and graphical analysis of hematological parameters in a cohort of 1523 dengue patients in a thorough search for the determination of the clinical features of dengue fever. The most important parameters were hemoglobin level, neutrophil and lymphocyte counts, and total platelet counts, whose statistical analysis has been conducted with the vision to clarify their role in dengue pathology. Statistical significance finds the key hematological parameters such as neutrophils, lymphocytes, monocytes, red blood cells, and RDW-CV to be strongly associated with dengue, and the same is borne out by their p-values. The gender, hemoglobin, MCH, and PDW are less strongly related, however. The consistency of results using T-tests as well as Z-tests strengthens the findings, highlighting significant markers while also pointing out how more intricate interactions would be uncovered using multivariate analysis. Subsequently, several data visualizations were constructed using box plots, violin plots, and pair plots. Hematological parameters in dengue positive and negative patients are somewhat disparate, as shown by box plots; positive patients presented with lower WBC and RBC counts and higher hemoglobin levels and monocyte percentages. Although females tend to have greater monocyte percentages and platelet counts and males tend to have overall greater hematocrit levels, violin plots do not indicate any gender differences in the majority of the blood parameters. The pair plot indicates that younger patients with lower hemoglobin are more likely to have positive dengue results, with some overlap between total WBC count and lymphocyte percentage. In conclusion, this database will be very useful and will provide a tremendous benefit to dengue research studies, public health initiatives, and better patient diagnosis and treatment methods.