The Egyptian Ministry of Health and Population surveillance system provides data about notifiable communicable diseases. This study aimed to provide information for decision-making to reduce the burden of communicable diseases in Egypt by analysis of the surveillance data for 2006-2013 to identify trends in the incidence of the diseases by governorate, season, age and sex. Composite risk-index scores were estimated to rank the 27 Egyptian governorates into 3 groups: high, medium and low risk. The 15 diseases with the highest incidence were food and waterborne diseases (5 diseases), vaccine-preventable diseases (7 diseases) and others, e.g. hepatitis C infection. Bloody diarrhoea and typhoid had the high incidence for 2006-2013. There were 11 high-risk governorates; Ismailia had the highest risk-index score. The findings suggest the need for specific interventions related to environmental sanitation and improving the childhood immunization programme, particularly in the high-risk governorates.
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http://dx.doi.org/10.26719/2017.23.6.395 | DOI Listing |
JBI Evid Synth
January 2025
University of Alberta, Edmonton, AB, Canada.
Objective: This review synthesizes qualitative research about the experiences of parental caregivers enhancing their children's health after making the decision to not vaccinate their preschool children. This review aims to help health care providers understand the parental work involved in caring for under-vaccinated or unvaccinated children.
Introduction: Much of the current qualitative research literature about parents who are vaccine-hesitant or who decide not to vaccinate their children focuses on parental perceptions about the safety and efficacy of vaccines and decision-making.
Emergencias
December 2024
Servicio de Urgencias, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, España.
Hidden infections and late diagnoses are currently the main challenges of the HIV pandemic. Emergency departments (EDs) are one of the health care system's key resources addressing these challenges. In 2020, the Spanish Society of Emergency Medicine (SEMES) published recommendations for ordering HIV serology testing for patients with certain health conditions, and in 2021 SEMES launched the "Leave Your Mark" (Deja tu Huella - DTH) program to facilitate implementing the recommendations during emergency care.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Yazd Cardiovascular Research Center, Non-communicable Diseases Research Institute Shahid Sadoughi University of Medical Sciences Yazd Iran.
Background And Aims: Mounting evidence have implicated that rs1801131 and rs1801133, located in the Methylenetetrahydrofolate reductase (MTHFR) gene, may emerge as novel biomarkers for coronary artery disease (CAD). The Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score is also an appropriate predictor for revascularization strategy in patients with complex CAD. The aim of this study is to investigate the correlation between rs1801131 and rs1801133 with the severity of coronary lesions in patients with ST‑Elevation Myocardial Infarction (STEMI) and Non‑ST‑Elevation Myocardial Infarction (NSTEMI) based on the SYNTAX score.
View Article and Find Full Text PDFMath Biosci Eng
December 2024
Department of Engineering and Natural Sciences, University of Applied Sciences Merseburg, Eberhard-Leibnitz-Str. 2, D-06217 Merseburg, Germany.
In this article, we reconsider the classical target cell limited dynamical within-host HIV model, solely taking into account the interaction between $ {\rm{CD}}4^{+} $ T cells and virus particles. First, we summarize some analytical results regarding the corresponding dynamical system. For that purpose, we proved some analytical results regarding the system of differential equations as our first main contribution.
View Article and Find Full Text PDFMath Biosci Eng
December 2024
Institute of of Information Technology, Warsaw University of Life Sciences - SGGW, Nowoursynowska 159 Street, building 34, 02-776 Warsaw, Poland.
In this paper, we introduce and analyze a discrete-time model of an epidemic spread in a heterogeneous population. As the heterogeneous population, we define a population in which we have two groups which differ in a risk of getting infected: a low-risk group and a high-risk group. We construct our model without discretization of its continuous-time counterpart, which is not a common approach.
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