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

Rujittika Mungmunpuntipantip, Viroj Wiwanitkit

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Article in International journal of biochemistry and molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Rujittika MungmunpuntipantipPrivate Academic Consultant Bangkok, Thailand.

Viroj WiwanitkitAdjunct Professor, Joseph Ayobabalola University Ikeji-Arakeji, Nigeria.

Hainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRotaviruses 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.

methodsThe 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.

resultsWe 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.

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

Indexed as

diagnosisgenotypeimmunochromatographyRotavirus

Identifiers

PMID36721841

PMCPMC9884340

OpenAlexW4318755068

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.