Results 41 to 50 of about 527,565 (212)
Spatio-temporal Analysis of Dengue Fever Cases: A Retrospective Study [PDF]
Introduction: In India, during the last ten years, the dengue fever increased in incidence and in territorial extent. Several studies already described the dengue fever incidence in terms of time, place and person But in spatio-temporal analysis, space ...
M Siva Durga Prasad Nayak, KA Narayan
doaj +1 more source
Spatial epidemiology, defined as the study of spatial patterns in disease burdens or health outcomes, aims to estimate disease risk or incidence by identifying geographical risk factors and populations at risk (Morrison et al., 2024).
Nima Kianfar +4 more
doaj +1 more source
Background: According to the last report of Iran cancer registry, stomach, colorectal, and bladder cancers are the most prevalent cancers. The present study focused on separating the latent risk surface into shared and disease-specific components ...
Marzieh Nasrazadani +3 more
doaj +1 more source
Retinal S-antigen Th1 cell epitope mapping in patients with Behcet's disease [PDF]
Background - Retinal S-antigen (S-Ag) is a most characterized autoantigen of autoimmune uveitis. The recognized immunodominant epitope of human S-Ag in patients with uveitis has not been identified. In this study, we selected certain patients with active
Yang, P.Z. +6 more
core +1 more source
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. [PDF]
We present a new method for the detection of gene pathways associated with a multivariate quantitative trait, and use it to identify causal pathways associated with an imaging endophenotype characteristic of longitudinal structural change in the brains ...
Alzheimer's Disease Neuroimaging Initiative +6 more
core +1 more source
Mapping Lyme Disease Incidence for Diagnostic and Preventive Decisions, Maryland [PDF]
To support diagnostic and preventive decision making, we analyzed incidence of Lyme disease in Maryland on the zip code level. Areas of high incidence were identified on the Upper Eastern Shore of the Chesapeake Bay and in counties north and east of ...
César A. Peña +3 more
core +1 more source
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj +1 more source
Trends and risk factors of gastric cancer in Iran (2005–2010)
Background: Gastric cancer (GC) is the first and the third prevalent cancer among males and females in Iran, respectively. The aim of this study was mainly to identify high-risk areas of GC by assessing the spatial and temporal pattern of incidence, and ...
Sedigheh Rastaghi +5 more
doaj +1 more source
IDENTIFICATION OF DISEASE GENES FOR RARE AUTOSOMAL RECESSIVE EPILEPTIC SYNDROMES BY HOMOZYGOSITY MAPPING [PDF]
Introduction: The genetics of the most common neurological disorders, including epilepsy, with mendelian inheritance has been dissected in the last twenty years. However the genetic etiology of some rare epileptic conditions is still unknown.
Coppola, Antonietta
core
Influence of magnetic field strength and image registration strategy on voxel-based morphometry in a study of Alzheimer's disease [PDF]
Multi-centre data repositories like the Alzheimer's Disease Neuroimaging Initiative (ADNI) offer a unique research platform, but pose questions concerning comparability of results when using a range of imaging protocols and data processing algorithms ...
Anna Grabowska +12 more
core +1 more source

