Development of an affordable multiplex quantitative RT-PCR assay for early detection and surveillance of Dengue, Chikungunya, and co-infections from clinical samples in resource-limited settings. [PDF]
Malik MR +9 more
europepmc +1 more source
Determination of Trichomonas vaginalis, certain bacterial and fungal positivity, and risk factors in female patients with urinary and genital complaints. [PDF]
Yar TM +4 more
europepmc +1 more source
Adaptation of a Probabilistic Method (InterVA) of Verbal Autopsy to Improve the Interpretation of Cause of Stillbirth and Neonatal Death in Malawi, Nepal, and Zimbabwe [PDF]
Background Verbal autopsy (VA) is a widely used method for analyzing cause of death in absence of vital registration systems. We adapted the InterVA method to extrapolate causes of death for stillbirths and neonatal deaths from verbal autopsy ...
Peter Byass +2 more
exaly +4 more sources
Performance of InterVA for Assigning Causes of Death to Verbal Autopsies: Multisite Validation Study Using Clinical Diagnostic Gold Standards [PDF]
Background: InterVA is a widely disseminated tool for cause of death attribution using information from verbal autopsies. Several studies have attempted to validate the concordance and accuracy of the tool, but the main limitation of these studies is ...
Alan D. Lopez +2 more
exaly +3 more sources
How Much Do the Physician Review and InterVA Model Agree in Determining Causes of Death? A Comparative Analysis of Deaths in Rural Ethiopia [PDF]
How much do the physician review and InterVA model agree in determining causes of death?
Geert Jan Dinant +2 more
exaly +3 more sources
Probabilistic Methods for Verbal Autopsy Interpretation: InterVA Robustness in Relation to Variations in a Priori Probabilities [PDF]
InterVA is a probabilistic method for interpreting verbal autopsy (VA) data. It uses a priori approximations of probabilities relating to diseases and symptoms to calculate the probability of specific causes of death given reported symptoms recorded in a
Peter Byass +2 more
exaly +3 more sources
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