Results 31 to 40 of about 6,812,139 (213)
International Journal of Preventive Medicine, 2018 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
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Frontiers in Public Health, 2023 ObjectiveEvidence of spatial disparity in dementia mortality in China has been found to have higher dementia mortality in eastern and rural China. Regional factors of physical and social features may be influencing this spatial disparity.
Xiaotian Heng +4 more
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Bayesian Analysis of Population Health Data
Mathematics, 2021 The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different
Dorota Młynarczyk +3 more
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Spatio-temporal Analysis of Dengue Fever Cases: A Retrospective Study [PDF]
Journal of Clinical and Diagnostic Research, 2020 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
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Acta Technica JaurinensisThis 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
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Trends and risk factors of gastric cancer in Iran (2005–2010)
International Journal of Preventive Medicine, 2019 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
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Computationally efficient spatio-temporal disease mapping for big data [PDF]
Disease mapping models estimate the spatio-temporal variation in population-level disease risks or rates across a set of K areal units for N time periods, aiming to identify temporal trends and spatial hotspots.
Lee, Duncan
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Global mapping of infectious disease [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2013 The primary aim of this review was to evaluate the state of knowledge of the geographical distribution of all infectious diseases of clinical significance to humans. A systematic review was conducted to enumerate cartographic progress, with respect to the data available for mapping and the methods currently applied.
Hay, SI +10 more
openaire +4 more sources
Tracing the tumors: navigating challenges in mapping cancer trends across twentieth-century Belgium
Espace populations sociétésThis article delves into the challenges and methodologies involved in mapping cancer trends across Belgium during the twentieth century. Disease mapping, pioneered by John Snow and Alfred Haviland, has been instrumental in understanding spatial disease ...
Philippe Paeps +4 more
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An Autoregressive Disease Mapping Model for Spatio-Temporal Forecasting
Mathematics, 2021 One of the more evident uses of spatio-temporal disease mapping is forecasting the spatial distribution of diseases for the next few years following the end of the period of study.
Francisca Corpas-Burgos +1 more
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