Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South.

Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South.

Materials And Methods: Patient-level COVID-19 records collected in a patient self-reported notification system, hospital in-patient and out-patient records, and community diagnostic labs were harmonized to the Observational Medical Outcomes Partnership common data model and analyzed using a federated network analytics framework. Clinical characteristics of individuals tested for, diagnosed with or tested positive for, hospitalized with, admitted to intensive care unit with, or dying with COVID-19 were estimated.

Morphological, molecular characterization and taxonomic status of Triplophysa marmorata and Triplophysa kashmirensis (Cypriniformes: Nemacheilidae) from Kashmir valley, India.

In India the distribution of genus Triplophysa has been reported only in the upper drainage of the Indus River in Jammu and Kashmir and Lahul and Spiti area of Himachal Pradesh. There is no study on the taxonomic characterization of this genus from Kashmir Himalaya. Therefore the present study was aimed to characterize two important fish species Triplophysa marmorata and T.

Morphometric variation and molecular characterization of snow trout species from Kashmir valley, India.

There is a significant taxonomic ambiguity among snow trout species due to their morphometric similarities. In view of this, a morphometric and molecular study was conducted on five different species of genus Schizothorax that have been reported from Kashmir valley. Morphometric data analyzed using multivariate statistics (Principal component analysis and cluster analysis) indicated the significant grouping of species to individual clusters.