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Item Medical Crowdfunding in India: The Need for a Strong Legal Enforcement System(Indian Journal of Public Health, 2024) Lekha D Bhat; Sigamani PanneerBhagyalakshmi R.; Komali Kantamaneni; Kesavan Rajasekharan Nayar; Louis RiceIn the absence of sector-specific legislation and government guidelines, the paper summarizes the growth of medical crowdfunding in India, identifies the challenges, and reiterates the need for effective legal enforcement systems.Item Do health education initiatives assist socioeconomically disadvantaged populations? A systematic review and meta-analyses(BMC Public Health, 2023) E. L. Karran; A. R. Grant; H. Lee; S. J. Kamper; C. M. Williams; L. K. Wiles; R. Shala; C. V. Poddar; T. Astill; G. L. MoseleyHealth education interventions are considered critical for the prevention and management of conditions of public health concern.Item Global Health Governance and International Law in India: A Socio-Legal Study(South Eastern European Journal of Public Health, 2024) Darshi Sharma; Amit DahiyaThe paper conduct a study on court rulings and reports of the Government of India in the proper places in order to support the proposed study and determine how the law pertaining to the right to health is being implemented.Item One Goal: Health for All; Post-COVID Public Health Initiatives(Indian Journal of Public Health, 2023) Thomas MathewWHO’s theme on its 75th year, “Health for All”, is both appropriate and meaningful on account of the unfinished agenda of primary health care (PHC), the Sustainable Development Goals, and the aftermath of the COVID-19 pandemic.Item Do integrative approaches to health contribute to self-reliance in primary healthcare? reflections from a community case study in Kerala, India(Health Psychology and Behavioral Medicine, 2022) BS Shivanand; M Tushara; PM Unnikrishnan; Jayanna KrishnamurthyIntegrative healthcare practice is fragmented due to variations in the evidence perception by the people.Item Future health expenditure in the BRICS countries: a forecasting analysis for 2035(Journal of Global Health, 2023) Pragyan Monalisa Sahoo; Himanshu Sekhar Rout; Mihajlo JakovljevicThis study examined the health expenditure trend among the BRICS from 2000 to 2019 and made predictions with an emphasis on public, pre-paid, and out-of-pocket expenditures for 2035.Item An ensemble approach to detect depression from social media platform: E-CLS(Multimed. Tools Appl., 2024) Shashank Shekher Tiwari; Rajnish Pandey; Akshay Deepak; Jyoti Prakash Singh; Sudhakar TripathiDepression, a prevalent adult symptom, can arise from various sources, including mental health conditions and social interactions. With the rise of social media, adults often share their daily experiences, potentially revealing their emotional state on social platforms, like X (formerly Twitter) and Facebook. In this study, we present Ensemble (E) of Convolutional Neural Network (C), Attention-based Long Short-Term Memory (L) Network, and Support Vector Machine (S) (E-CLS), utilizing Term Frequency-Inverse Document Frequency (TF-IDF) vectors, Global Vectors for Word Representation (GloVe) and Bidirectional Encoder Representations from Transformers (BERT) word embeddings. This model effectively identifies depressive posts. Validated with a Twitter-derived depressive dataset, E-CLS achieves an impressive F1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$F_{1}$$\end{document}-score of 0.91, surpassing existing machine-learning and deep-learning models by 2%. This research advances the detection of depression in social media posts, holding promise for enhanced mental health monitoring. Furthermore, our work contributes to the burgeoning field of mental health informatics by leveraging state-of-the-art techniques in natural language processing. The ensemble approach synergizes the strengths of Convolutional Neural Network (CNN) for local pattern recognition, Long Short-Term Memory (LSTM) Network for sequential context understanding, and Support Vector Machine (SVM) for robust classification. The incorporation of TF-IDF vectors and GloVe embeddings enriches feature representation, enhancing the model's ability to discern nuanced linguistic cues associated with depression. By demonstrating superior performance over established models, E-CLS showcases its potential as a valuable tool in digital mental health interventions.Item Legislation on cancer notification in India: current status(The Lancet Regional Health Southeast Asia, 2024) Edwin Sajia; Aju MathewDifferences in cancer notification laws and regulations across 11 states in India that have made cancer notifiableItem Burden, patterns, and impact of multimorbidity in North India: findings from a rural population-based study(BMC Public Health, 2022) Priti Gupta; Shivani A. Patel; Hanspria Sharma; Prashant Jarhyan; Rakshit Sharma; Dorairaj Prabhakaran; Nikhil Tandon; Sailesh MohanThis study estimates the prevalence, socio-demographic determinants, common disease combinations, and health impact of multimorbidity among a young rural population.Item Health Care Strategy and its Impact on Quality of Health Services in India(South Eastern European Journal of Public Health, 2024) Atul Dattatraya Ghate; Mariyam AhmedThis survey reveals a trend, with the private sector coming in first, then trust-run hospitals, and finally private clinics. Public hospitals in India have taken note of this aspect as well and are actively putting plans into place to introduce the necessary technology for hospital management and treatment.