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| http://dx.doi.org/10.46497/ArchRheumatol.2020.7920 | DOI Listing |
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Epidemiological Characteristics of Mumps Cases in the Kingdom of Bahrain From 2012 to 2022.
Cureus
December 2024
Department of Family and Community Medicine, Arabian Gulf University, Manama, BHR.
Introduction: Mumps is a vaccine-preventable disease caused by the paramyxovirus affecting the salivary gland and may be complicated by orchitis, oophoritis, and encephalitis. This study aims to describe the epidemiology, clinical presentation, and transmission of mumps cases in the Kingdom of Bahrain between 2012 and 2022.
Methodology: A retrospective cross-sectional study was conducted using national surveillance data of confirmed mumps cases, including all age groups and both Bahraini and non-Bahraini nationals, from January 2012 to December 2022.
Hepatitis B virus infection and metabolic dysfunction associated steatotic liver disease: Rising pandemic with complex interaction.
World J Hepatol
January 2025
Department of Medicine, Aga Khan University Hospital, Karachi 74800, Pakistan.
Due to sedentary lifestyle and rising prevalence of obesity, patients with general population and those who are infected with chronic hepatitis B are found to have metabolic dysfunction associated steatotic liver disease (MASLD). Both chronic hepatitis B virus (HBV) infection and MASLD can damage hepatocytes in their own way, but concomitant HBV-MASLD has its own clinical implications. Cherry on top is the presence of diabetes mellitus, hypertension or obesity which added more chances of unfavorable outcomes in these patients.
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[Application of artificial intelligence in parasitic diseases and parasitology].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China.
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers.
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