Triangulation positioning system - Network and topology issues

This paper presents ongoing work on localization and positioning through triangulation procedure. Issues of scalability and topology are also examined and areas that are problematic and need further analysis and implementation in the network are analyzed. In a Fixed Stations Network, as it was presented in [1] a triangulation problem is becoming high complicated when we have a large number of sensors and transmitters.Sensors bearings and data readings have to be checked on a case by case basis.The combination and processing of a vast number of data needs filtering and implementation of the various cases, whilst synchronously data processing in various stages can provide accurate results

Bioprofiling over grid for early detection of dementia

Summarization: The primary aim of this paper is to present a new concept, bioprofiling over Grid, and to illustrate how Grid computing may be used to support individualisation of healthcare in future, with the aid of a new test bed, the BIOPATTERN Grid. The BIOPATTERN Grid is designed to facilitate seamless sharing of geographically distributed bioprofile databases and to support the analysis of bioprofiles to combat major diseases such as brain diseases and cancer within a major EU project, BIOPATTERN (www.biopattern.org). The main objectives in this paper are 1) to report the development of the BIOPATTERN Grid for biopattern analysis and bioprofiling in support of individualisation of healthcare; 2) to illustrate how the BIOPATTERN Grid could be used for biopattern analysis and bioprofiling for early detection of dementia. We present the architecture and general functionalities of BIOPATTERN Grid, and the development of a prototype test bed (including a Grid Portal and Grid services for early detection of dementia). We illustrate the concept of bioprofiling over Grid and discuss issues such as scalability in high through-put computing for biodata analysis associated with bioprofiling for dementia. Results show benefits in both high throughput computing in biodata analysis and for individualisation of healthcare using Grid computing which makes it possible to access geographically distributed patient's information for subject-specific data analysis for early detection of dementia.Παρουσιάστηκε στο: 1st international conference on Scalable information system

Dating the Origin and Estimating the Transmission Rates of the Major HIV‐1 Clusters in Greece: Evidence about the Earliest Subtype A1 Epidemic in Europe

Our aim was to estimate the date of the origin and the transmission rates of the major local clusters of subtypes A1 and B in Greece. Phylodynamic analyses were conducted in 14 subtype A1 and 31 subtype B clusters. The earliest dates of origin for subtypes A1 and B were in 1982.6 and in 1985.5, respectively. The transmission rate for the subtype A1 clusters ranged between 7.54 and 39.61 infec-tions/100 person years (IQR: 9.39, 15.88), and for subtype B clusters between 4.42 and 36.44 infections/100 person years (IQR: 7.38, 15.04). Statistical analysis revealed that the average difference in the transmission rate between the PWID and the MSM clusters was 6.73 (95% CI: 0.86 to 12.60; p = 0.026). Our study provides evidence that the date of introduction of subtype A1 in Greece was the earliest in Europe. Transmission rates were significantly higher for PWID than MSM clusters due to the conditions that gave rise to an extensive PWID HIV‐1 outbreak ten years ago in Athens, Greece. Transmission rate can be consid-ered as a valuable measure for public health since it provides a proxy of the rate of epidemic growth within a cluster and, therefore, it can be useful for targeted HIV prevention programs. © 2022 by the authors. Licensee MDPI, Basel, Switzerland

A nationwide study about the dispersal patterns of the predominant HIV-1 subtypes A1 and B in Greece: Inference of the molecular transmission clusters

Our aim was to investigate the dispersal patterns and parameters associated with local molecular transmission clusters (MTCs) of subtypes A1 and B in Greece (predominant HIV-1 subtypes). The analysis focused on 1751 (28.4%) and 2575 (41.8%) sequences of subtype A1 and B, respectively. Identification of MTCs was based on phylogenetic analysis. The analyses identified 38 MTCs including 2–1518 subtype A1 sequences and 168 MTCs in the range of 2–218 subtype B sequences. The proportion of sequences within MTCs was 93.8% (1642/1751) and 77.0% (1982/2575) for subtype A1 and B, respectively. Transmissions within MTCs for subtype A1 were associated with risk group (Men having Sex with Men vs. heterosexuals, OR = 5.34, p < 0.001) and Greek origin (Greek vs. non-Greek origin, OR = 6.05, p < 0.001) and for subtype B, they were associated with Greek origin (Greek vs. non-Greek origin, OR = 1.57, p = 0.019), younger age (OR = 0.96, p < 0.001), and more recent sampling (time period: 2011–2015 vs. 1999–2005, OR = 3.83, p < 0.001). Our findings about the patterns of across and within country dispersal as well as the parameters associated with transmission within MTCs provide a framework for the application of the study of molecular clusters for HIV prevention. © 2020 by the authors. Licensee MDPI, Basel, Switzerland

HIV continuum of care: Bridging cross-sectional and longitudinal analyses

Objective: The aim of this study was to propose a unified continuum-of-care (CoC) analysis combining cross-sectional and longitudinal elements, incorporating time spent between stages. Design: The established 90-90-90 target follows a cross-sectional four-stage CoC analysis, lacking information on timing of diagnosis, antiretroviral therapy (ART) initiation, and viral suppression durability. Methods: Data were derived from the Athens Multicenter AIDS Cohort Study (AMACS). In the cross-sectional CoC, we added stratification of diagnosed people with HIV (PWH) by estimated time from infection to diagnosis; of those who ever initiated ART or achieved viral suppression by corresponding current status (in 2018); and cumulative incidence function (CIF) of ART initiation and viral suppression, treating loss-to-followup (LTFU) as competing event. Viral suppression was defined as viral load less than 500 copies/ml. Viral suppression durability was assessed by the CIF of viral load rebound. Findings: About 89.1% of PWH in 2018 were diagnosed (range of diagnoses: 1980 - 2018). Median time to diagnosis was 3.5 years (IQR: 1.1 - 7.0). Among diagnosed, 89.1% were ever treated, of whom 86.7% remained on ART. CIF of ART initiation and LTFU before ART initiation were 80.9 and 6.0% at 5 years since diagnosis, respectively. Among treated, 89.4% achieved viral suppression, of whom 87.4% were currently virally suppressed. The CIF of viral load rebound was 24.2% at 5 years since first viral suppression but substantially reduced in more recent years. Interpretation: The proposed analysis highlights time gaps in CoC not evident by the standard cross-sectional approach. Our analysis highlights the need for early diagnosis and identifies late presenters as a key population for interventions that could decrease gaps in the CoC. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved