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Journal of Medicine Surgery and Public Health is a peer-reviewed journal published by Elsevier, covering Artificial Intelligence in Healthcare and Education, Health disparities and outcomes, Global Health and Surgery.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Journal of Medicine Surgery and Public Health 12 (2023) 45–58.
Formats any DOI in Journal of Medicine Surgery and Public Health style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Health disparities and outcomes Global Health and Surgery HIV/AIDS Research and Interventions COVID-19 and Mental Health |
| ISSN | 2949-916X |
| Citation impact (2-yr) | 25 |
| h-index | 22 |
| i10-index | 51 |
| Total citations | 5,255 |
| Top institutions publishing here | Hamad Medical Corporation |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Antimicrobial resistance (AMR) is a critical global health issue driven by antibiotic misuse and overuse in various sectors, leading to the emergence of resistant microorganisms. The history of AMR dates back to the discovery of penicillin, with the rise of multidrug-resistant pathogens posing significant challenges to healthcare systems worldwide. The misuse of antibiotics in human…
The global medical and nursing research community has increasingly embraced qualitative research approaches, recognizing the additional benefits they provide to the investigation process. Qualitative research explores the intricate details of human behavior, attitudes, and experiences, emphasizing the exploration of nuances and context. Ensuring trustworthiness is crucial in establishing the credibility and reliability of qualitative findings.…
Thematic analysis (TA) is one of the most widely utilized methods for analyzing qualitative data, offering a structured yet flexible framework for identifying, analyzing, and interpreting patterns of meaning within datasets. This paper provides a comprehensive overview of Braun and Clarke's six-phase thematic analysis framework, which includes (1) familiarization with data, (2) generating initial codes,…
Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application in mental healthcare is no exception. Hence, this review explores the integration of AI into mental healthcare, elucidating current trends, ethical considerations, and future directions in this dynamic field. This review encompassed recent studies, examples of AI applications, and ethical…
Data saturation is a cornerstone concept in qualitative research, ensuring that data collection ceases once no new themes, insights, or patterns emerge. This concept is critical for achieving methodological rigor, as saturation enhances the credibility and completeness of research findings. Despite its central role, debates persist regarding the point at which saturation is achieved, especially…
