Length-weight relationships are described for six fish species belonging to two families from the Poonch River, a tributary of the Jhelum River (Tributary of Indus Basin), India. Length-weight relationships for the six species were unknown to FishBase, and new maximum lengths are recorded for five of the species. These results will be useful for fishery research, management and conservation of the Indus Basin.
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.
Results
Two COVID-19 databases covering 8.3 million people from Pakistan and 2.6 million people from Bahia, Brazil were analyzed. 109 504 (Pakistan) and 921 (Brazil) medical concepts were harmonized to Observational Medical Outcomes Partnership common data model. In total, 341 505 (4.1%) people in the Pakistan dataset and 1 312 832 (49.2%) people in the Brazilian dataset were tested for COVID-19 between January 1, 2020 and April 20, 2022, with a median [IQR] age of 36 [25, 76] and 38 (27, 50); 40.3% and 56.5% were female in Pakistan and Brazil, respectively. 1.2% percent individuals in the Pakistan dataset had Afghan ethnicity. In Brazil, 52.3% had mixed ethnicity. In agreement with international findings, COVID-19 outcomes were more severe in men, elderly, and those with underlying health conditions.
Conclusions
COVID-19 data from 2 large countries in the Global South were harmonized and analyzed using a standardized health informatics framework developed by an international community of health informaticians. This proof-of-concept study demonstrates a potential open science framework for global knowledge mobilization and clinical translation for timely response to healthcare needs in pandemics and beyond.
The efficacy and safety of electroconvulsive therapy (ECT) have been established, yet widespread negative public attitudes towards the procedure remain. Little research has been carried out into the attitudes towards and knowledge of ECT among mental health staff of different disciplines. Method: Two hundred and sixty-eight staff from four mental health disciplines (psychiatrists, psychologists, nurses and social workers) were sent the Questionnaire on Attitudes and Knowledge of ECT (QuAKE) and asked about demographic details. Attitudes and knowledge were compared by discipline and the results analysed using the Kruskal-Wallis test. Results: The response rate was 74% (n=198). The questionnaire revealed significant differences in attitudes to and knowledge of the therapy between the four disciplines, with psychiatrists being most favourably disposed and most knowledgeable, followed by nurses, social workers and psychologists. The attitudes scale was shown to have good internal consistency and split-half reliability. Conclusion: Discipline is an accurate predictor of attitudes towards ECT. There is a need for awareness of differences of opinion towards the treatment in multidisciplinary teams, as well as for better education about ECT for all members of the clinical team. J Ment Health Downloaded from informahealthcare.com by University of Wales Swansea on 11/04/14 For personal use only.
Summary
Length–weight relationships were analysed for five commercially important freshwater fishes, namely, Bangana diplostoma (Heckel, 1838), Schizopyge niger (Heckel, 1838), Schizothorax curvifrons (Heckel, 1838), Schizothorax plagiostomus (Heckel, 1838) and Glyptosternon reticulatum (McClelland, 1842) from different water bodies in the Kashmir Valley, India. A total of 610 samples were collected between October 2013 and May 2015 using various indigenous cast nets. Of these five species, Schizopyge niger has a new maximum length record for the FishBase LWR database.
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. Mitochondrial DNA cytochrome oxidase I (COI) gene analysis revealed 0.2%-4.5% genetic divergence among the five species. This study confirms that utility of cytochrome oxidase I in species delineation along with morphometric data. Phylogenetic tree obtained using Neighbor-Joining method revealed that all the five species represented distinct species group. The Schizothorax genus formed two distinct clades; one containing S. niger, S. curvifrons and S. plagiostomus, while other clade containing S. esocinus and S. labiatus. This phlogeny trend was also supported by cluster analysis of morphometric characters. The phylogenetic analysis with other published COI sequences revealed distinct nature of these five species. The study may aid in the taxonomic identification of snow trout species in India. This may further increase the knowledge of the ichthyologists in planning conservation and management strategies for these important fish species along with their natural habitat.
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