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Rotavirus epidemiology adjusted pattern in a tropical setting: mathematical correction for false positive problem
Rujittika Mungmunpuntipantip1, Viroj Wiwanitkit2,3,4,5,6,7
1Private Academic Consultant Bangkok, Thailand.
Insights
Rotavirus gastroenteritis is common in children. This study developed a modified pattern to correct false positives from immunochromatography tests, improving rotavirus detection accuracy.
Area of Science:
- Virology
- Epidemiology
- Clinical Diagnostics
Background:
- Rotaviruses are a primary cause of acute gastroenteritis in young children globally.
- Immunochromatography tests are widely used for rotavirus detection but can yield false positives.
- Discrepancies between immunochromatography and nucleic acid tests necessitate accuracy adjustments in rotavirus monitoring.
Purpose of the Study:
- To present an expected pattern of rotavirus epidemiology in a tropical setting.
- To develop a modified rotavirus pattern addressing false positive results from diagnostic tests.
- To improve the accuracy of rotavirus infection detection and monitoring.
Main Methods:
- Mathematical model-based correction was employed to derive a modified rotavirus pattern.
- False positivity was extracted to refine the epidemiological pattern.
- The study analyzed rotavirus epidemiology in a specific tropical setting.
Main Results:
- An altered rotavirus epidemiology pattern was identified in the studied tropical setting.
- Rotavirus was detected in 19.3% of patients presenting with rotavirus-like symptoms.
- The G4P[8] genotype accounted for 6% of all identified rotavirus infections.
Conclusions:
- Rotavirus continues to be a significant public health concern requiring ongoing attention.
- The modified pattern offers a potential solution for improving the accuracy of rotavirus diagnostics.
- Addressing false positives is crucial for reliable rotavirus surveillance and management.
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.
