Yemen was affected by a major cholera epidemic in 2016, while a civil war, which has devastated the country since March 2015, has exacerbated the humanitarian situation. Cholera is a disease caused by the bacterium Vibrio cholera, thus this study aims to analyze the epidemiological features of the outbreak and explore the relation of the outbreak to the current armed conflict situation. The data were obtained from the national surveillance system in Yemen. This contains details of 15,074 cases registered as suspected cholera patients per governorate from week 39 to 52 in 2016. In addition to the data concerning cholera, other data on conflict-related injuries, and population movement (numbers of Internally Displaced Persons - IDPs - and number of displaced returnees) were used to assess the correlation using Spearman's rho analysis. The data analysis shows the intensity of the conflict as measured by the total casualties per governorate (conflict-related injuries and death) is significantly correlated with the number of cholera cases per governorate (r 0.483, P = 0.026). The analysis also shows a positive, but not significant correlation between cholera cases, and both the number of conflict internal displaced people (IDPs) (r 0.389, P = 0.081), and number of returnees (r = 432, P = 0.050).
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http://dx.doi.org/10.3855/jidc.10129 | DOI Listing |
PLoS One
January 2025
Cleopatra Hospital, Cleopatra Hospitals Group-(CHG), Cairo, Egypt.
Background: Increasing healthcare costs, particularly in Low- and Middle-Income Countries (LMICs) like Egypt, highlight the need for rational economic strategies. Clinical pharmacy interventions offer potential benefits by reducing drug therapy problems and associated costs, thereby supporting healthcare system sustainability.
Objective: This study evaluates the economic impact and clinical benefits of clinical pharmacy interventions in four tertiary hospitals in Egypt by implementing an innovative tool for medication management, focusing on cost avoidance and return on investment (ROI), while accounting for case severity and drug therapy problem (DTP) resolution.
Asian J Transfus Sci
September 2022
Department of Zoology, CCS HAU, Hisar, Haryana, India.
Context: Hemoglobinopathies are the most common heterogeneous group of monogenetic disorder in the world and its prevalence varies with geographical regions. India is developing country and many studies show a significant burden of hemoglobinopathies in India.
Aims: The aim of the present study was to check the prevalence of various hemoglobinopathies in anemic subjects using high-performance liquid chromatography (HPLC) method in Pune region which has multiple ethnic population groups from all parts of India.
Cureus
December 2024
Family Medicine, Najran Armed Forces Hospital, Najran, SAU.
Although observational studies have linked vitamin D deficiency to diabetes, it is unknown if taking vitamin D supplements can reduce the chance of developing type 2 diabetes mellitus (T2DM). The purpose of this systematic review is to determine whether vitamin D supplementation lowers the risk of type 2 diabetes. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to search for studies based on pre-established inclusion and exclusion criteria.
View Article and Find Full Text PDFJ Saudi Heart Assoc
December 2024
Bugshan Center, Jeddah, Saudi Arabia.
Background: Cardiovascular disease (CVD) and diabetes mellitus are prominent public health concerns in Saudi Arabia owing to their increasingly high prevalence and burden. Based on this, the Saudi Heart Association (SHA) set out to develop an official position statement on CVD and diabetes mellitus, with a focus on the prevention and management of these conditions and relevant special populations in the context of Saudi Arabia.
Methods: A multidisciplinary panel of experts met under the auspices of the SHA in a series of meetings to review and discuss available evidence on the prevention and management of comorbid CVD and diabetes mellitus.
Cureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
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