Virología: investigación actual

Forecast Model of Dengue and Co-infection with Typhoid using Clinical Parameters

Abstract

Anubrata Paul

Dengue and co-infection with typhoid infection is increasingly recognized as one of the world's emerging infectious diseases. We have appraised Complete Blood Count (CBC) parameters and serological NS1, IgG/IgM rapid test data along with survey questionnaire of 314 suspected dengue and typhoid patients with Acute Febrile Illness (AFI) symptoms patients from the different villages of Sonepat district, Haryana to predict dengue and co-infection with typhoid model. Among those suspected patients, 50 dengue positive (14 primaries and 37 secondary infections) in age groups 10-39 years, 86 typhoid positive (64 primaries and 22 secondary infections) in age groups 10-49 years, 8 co-infection cases in age groups 10-29 year and 40-49 years mostly were reported respectively. As per bayesian analysis model and logistic regression model, TLC<4000 cells/cmm (leukopenia) of dengue, MCH>32 pg of typhoid and MCV<83 fL of co-infection was mostly statistically significant (p<0.05) among different clinical parameters with high ROC value (area ± SE) with 61-71% accuracy of disease diagnosis evaluation. We identified important CBC parameters to qualify the distinction of dengue, typhoid and co-infection patients with AFI and for more confirmation, a further investigation should be designed for early diagnosis and treatment for the patients.