Rotavirus epidemiology adjusted pattern in a tropical setting: mathematical correction for false positive problem relating to primary immunochromatography test surveillance.

Abstract

Background: Rotaviruses are the most common cause of acute gastroenteritis in neonates and young children worldwide. Human rotaviruses are the leading cause of acute gastroenteritis in neonates and young children worldwide. The immunochromatography test is frequently used in clinical practice to detect rotavirus infection. When the immunochromatography test is incorrectly positive, there may be a discrepancy between the two tests, the immunochromatography test and the nucleic acid test. As a result, when interpreting the findings of basic rotavirus monitoring in a system based on immunochromatography tests, we must made adjustments to address the issue of accuracy.

Methods: The findings on the expected pattern of rotavirus epidemiology in a tropical setting was presented. The modified rotavirus pattern was created to address the issue of false positives. To solve the false positive issue, the modified rotavirus pattern derived from mathematical model-based correction by extracting false positivity was predicted.

Results: We demonstrated an altered rotavirus epidemiology pattern in the setting studied in this study. Rotavirus has been detected in up to 19.3% of patients with rotavirus-like symptoms, with G4P[8] accounting for 6% of those infected.

Conclusion: As a result, the rotavirus remains an important problem that must be addressed in the framework of this study.