Spatial Modelling In Public Health

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Spatial Modeling in Environmental and Public Health Research

(3 days ago) WEB2. An Operational Framework for Spatial Epidemiology and Public Health. Here we translate Mayer’s [] conceptualization of health and place into an operational framework that includes three underlying geographies: exposure, susceptibility, and …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872363/

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MAS in Spatial Analysis for Public Health - Johns Hopkins

(Just Now) WEBThe Master of Applied Science in Spatial Analysis for Public Health is a fully online degree program offered by the Johns Hopkins Bloomberg School of Public Health. The curriculum prepares students to effectively …

https://publichealth.jhu.edu/academics/mas-in-spatial-analysis-for-public-health

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Spatial Modelling Tools to Integrate Public Health and …

(3 days ago) WEBSpatial methods can help integrate public health and environmental science by identifying the linkages between the physical and socio-economic environment and health outcomes. Understanding the environmental and social context for disease spread is important for assessing the public health implications of projected environmental change.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772206/

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Spatial Epidemiology and Public Health SpringerLink

(1 days ago) WEBApplications of geospatial technology in public health have grown considerably during the past two decades. Terms and disciplines such as “geomedicine,” “geospatial health,” and “spatial epidemiology” have become more commonplace as public health officials, researchers, and the community at large have come to rely on maps and geospatial …

https://link.springer.com/chapter/10.1007/978-3-030-71377-5_4

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Spatial modeling in environmental and public health research

(1 days ago) WEBSpatial modeling in environmental and public health research Int J Environ Res Public Health. 2010 Apr;7(4):1302-29. doi: 10.3390/ijerph7041302. overlay; remote sensing; spatial modelling; spatial regression. Publication types Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

https://pubmed.ncbi.nlm.nih.gov/20617032/

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Public Health and Spatial Modeling SpringerLink

(5 days ago) WEBSpatial modeling of Public Health data is a wide subject and encompasses a range of topics where the geographical or spatial distribution of disease is of importance. In what follows there will be an emphasis on disease analysis as opposed to other aspects of Public Health sciences (such as health services research, health promotion or

https://link.springer.com/referenceworkentry/10.1007/978-0-387-35973-1_1048

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A Systematic Review of Joint Spatial and …

(Just Now) WEBRecent advances in geographic information systems in medicine have led to the development of advanced spatial analysis of geocoded data in health research [].Disease mapping, also defined as …

https://www.mdpi.com/1660-4601/20/7/5295

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Spatial Modeling in Environmental and Public Health …

(Just Now) WEBSpatial Modeling for Public Health . Overlay Analysis . Overlay analy sis is the simplest form of spatial modeling, and consists of stacking different thematic . maps on top of one another.

https://www.researchgate.net/publication/45114539_Spatial_Modeling_in_Environmental_and_Public_Health_Research

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Spatial Aspects of Health—Developing a Conceptual Framework

(3 days ago) WEBHowever, in existing models, the spatial aspects of the determinants are not or only marginally taken into account and a theoretical discussion of the association between space and the determinants of health is missing. The aim of this paper is to generate a framework that can be used to place the determinants of health in a spatial …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914219/

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Spatiotemporal Analysis - Columbia Public Health

(6 days ago) WEBDescription. Spatiotemporal data analysis is an emerging research area due to the development and application of novel computational techniques allowing for the analysis of large spatiotemporal databases. …

https://www.publichealth.columbia.edu/research/population-health-methods/spatiotemporal-analysis

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Efficiency of fine scale and spatial regression in modelling

(2 days ago) WEBBackground Healthcare accessibility, a key public health issue, includes potential (spatial accessibility) and realized access (healthcare utilization) dimensions. Moreover, the assessment of healthcare service potential access and utilization should take into account the care provided by primary and secondary services. Previous studies on …

https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-021-00276-y

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Special Issue : Spatial Modelling for Public Health Research - MDPI

(5 days ago) WEBThe study contributes with an explicitly spatial approach to the intra-urban public health literature. Developed for a moderately polluted city, the methods can be extended to more severely polluted environments, to assist in developing spatial public health policies to improve respiratory outcomes, neurodevelopment, and metabolic and …

https://www.mdpi.com/journal/ijerph/special_issues/spatial_modelling_health

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Methods, Models, and Interpretations for Spatial-Temporal Public …

(6 days ago) WEBThis dissertation describes methods and models used to perform Bayesian spatial-temporal smoothing to leverage the complete set of sparse health data to make granular predictions across the space-time domain of interest. In particular, we provide a statistical introduction to Template Model Builder, a flexible inferential tool for mixed effects

https://digital.lib.washington.edu/researchworks/handle/1773/49457

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Yale Summer Course in Public Health Modeling

(Just Now) WEBThe Yale School of Public Health’s Summer Course in Public Health Modeling is an exciting opportunity to learn to understand and implement the latest techniques from distinguished Yale faculty and network with an international group of public health researchers. The course is designed to provide researchers, clinicians, industry …

https://ysph.yale.edu/school-of-public-health/continuing-education/public-health-modeling/

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(PDF) Spatial Analysis of Healthcare Accessibility Using

(4 days ago) WEBAbstract. This paper explores the application of Geographic Information Systems (GIS) and Remote Sensing in spatially analyzing healthcare accessibility. Access to healthcare services is a

https://www.researchgate.net/publication/375672073_Spatial_Analysis_of_Healthcare_Accessibility_Using_GIS_and_Remote_Sensing

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Spatial Modeling in Environmental and Public Health Research …

(5 days ago) WEBRes. Public Health 2010, 7 1304 Figure 1. Extended Conceptual Framework for Spatial Analysis in Epidemiology and Public Health (Adapted from Jerrett, Gale and Kontgis, 2009 [3]). 3. Spatial Modeling for Public Health Overlay Analysis Overlay analysis is the simplest form of spatial modeling, and consists of stacking different thematic

https://stacks.cdc.gov/view/cdc/22894/cdc_22894_DS1.pdf

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Spatial Modeling in Environmental and Public Health Research

(9 days ago) WEBIn this paper, we review the use of Geographic Information Systems (GIS) and spatial analysis in environmental epidemiology and public health research. Spatial epidemiologists, health geographers, and others using geographic methods have made significant contributions to understanding potential exposure pathways in space and …

https://www.mdpi.com/1660-4601/7/4/1302

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Methodological Challenges in Spatial and Contextual Exposome …

(1 days ago) WEBThese distinctive characteristics lead to multiple unique methodological challenges across different stages of a study. This article provides a review of the existing resources, methods, and tools in the new and developing field for spatial and contextual exposome-health studies focusing on four areas: (1) data engineering, (2) spatiotemporal

https://pubmed.ncbi.nlm.nih.gov/37138645/

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Public Health and Spatial Modeling SpringerLink

(7 days ago) WEBSpatial modeling of Public Health data is a wide subject and encompasses a range of topics where the geographical or spatial distribution of disease is of importance. In what follows there will be an emphasis on disease analysis as opposed to other aspects of Public Health sciences (such as health services research, health promotion or

https://link.springer.com/referenceworkentry/10.1007/978-3-319-23519-6_1048-2

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Evaluating human landing catches as a measure of mosquito

(Just Now) WEBEntomological evaluations of vector control tools often use human landing catches (HLCs) as a standard measure of a direct human-vector contact. However, some tools have additional characteristics

https://www.nature.com/articles/s41598-024-61116-0

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Public Health Models and Tools NCEZID CDC

(6 days ago) WEBPandemic Planning and Response Increased Demand for Staff, Services, and Supplies. COVID-19 Surge: Enables hospital administrators and public health officials to estimate the surge in demand for hospital-based services during the COVID-19 pandemic.; COVIDTracer and COVIDTracer Advanced: Allows users to estimate the …

https://www.cdc.gov/ncezid/data-research/public-health-models-and-tools.html

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Spatial Data Analysis in Social Sciences – CASER NYU Shanghai

(7 days ago) WEBThis course introduces spatial data analysis applied in multiple social science disciplines including sociology, demography, epidemiology, public health, political science, and biostatistics. The course consists of two modules: (1) exploratory spatial data analysis (ESDA); and (2) spatial modeling. Students will learn how to carry out ESDA and

https://caser.shanghai.nyu.edu/training/2024-summer-school-methods/course-and-instructor-introduction/introduction-to-computational-social-science/

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Disease modeling for public health: added value, challenges, and

(Just Now) WEBPublic health policymakers face increasingly complex questions and decisions and need to deal with an increasing quantity of data and information. For policy advisors to make use of scientific evidence and to assess available intervention options effectively and therefore indirectly for those deciding on and implementing public health …

https://link.springer.com/article/10.1057/s41271-019-00206-0

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Healthcare, Infectious Diseases, Research (HIRe) Modeling Fellowship

(6 days ago) WEBBackground. The American Rescue Plan Act (ARP) of 2021 invests significant resources in the healthcare and public health workforce. In alignment with this initiative, CDC's Division of Healthcare Quality Promotion (DHQP) Epidemiology, Research, and Innovations Branch (ERIB) has funded six institutions to enhance healthcare-associated …

https://www.cdc.gov/healthcare-associated-infections/php/research/hire-fellowship.html

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Epidemiology for public health practice: The application of spatial

(3 days ago) WEBSpatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329838/

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Community Planning for Health Assessment: Frameworks & Tools

(4 days ago) WEBMost assessment and planning frameworks include steps or phases that reflect the following actions, some of which may occur simultaneously: Organize and plan. Engage the community. Develop a goal or vision. Conduct community health assessment (s) Prioritize health issues. Develop community health improvement plan.

https://www.cdc.gov/public-health-gateway/php/public-health-strategy/public-health-strategies-for-community-health-assessment-models-frameworks-tools.html

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Geographical variation in hotspots of stunting among under-five

(3 days ago) WEBIntroduction Childhood stunting is a global public health concern, associated with both short and long-term consequences, including high child morbidity and mortality, poor development and learning capacity, increased vulnerability for infectious and non-infectious disease. The prevalence of stunting varies significantly throughout …

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303071

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Guarding human health: AI empowers innovative applications in

(Just Now) WEB“If life is a marathon, then health is the key to its duration.” Health is not only the foundation of happiness and societal progress but also a pivotal aspect of the intelligent era. AI’s integration into healthcare represents a transformative tool for maintaining and enhancing human well-being. From aiding early disease detection and progression …

https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/articles/guarding-human-health-ai-empowers-innovative-applications-in-healthcare/

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Association of physical activity and screen time - BMC Public …

(7 days ago) WEBBlood pressure percentile. In linear regression models including both screen and steps as continuous variables (Table 2), each hour of screen time per day was associated with a 0.27 (95% CI 0.06 to 0.48) higher diastolic blood pressure percentile, and every 1,000 steps per day was associated with a 0.66 (95% CI 0.32 to 0.99) lower …

https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18790-6

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Framework for Ranking Machine Learning Predictions of Limited

(3 days ago) WEBBackground: Passive mobile sensing provides opportunities for measuring and monitoring health status in the wild and outside of clinics. However, longitudinal, multimodal mobile sensor data can be small, noisy, and incomplete. This makes processing, modeling, and prediction of these data challenging. The small size of the data set …

https://ai.jmir.org/2024/1/e47805

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Process-based Inference for Spatial Energetics Using Bayesian

(2 days ago) WEBWe offer full probabilistic inference with uncertainty quantification using spatial-temporal process models adapted for data generated from ``actigraph'' units as the subject traverses a path or trajectory in their daily routine. Anticipating the need for fast inference for mobile health data, we pursue exact inference using conjugate Bayesian

https://ui.adsabs.harvard.edu/abs/2024arXiv240509906W/abstract

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Multilevel Modelling for Public Health and Health Services …

(6 days ago) WEBMultilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, Peter was trained as a sociologist and wrote his PhD on the spatial distribution of general practitioners in the Netherlands. His research interests are in the area of

https://link.springer.com/book/10.1007/978-3-030-34801-4

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Spatial Modeling of COVID-19 Vaccine Hesitancy in the United …

(3 days ago) WEBTo the authors’ knowledge, there is a lack of research on spatial modeling of COVID-19 vaccination in the United States; thus, this timely study can serve as a geospatial reference to support public health decision-makers in forming region-specific policies in monitoring vaccination programs.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467210/

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About One Health One Health CDC - Centers for Disease …

(7 days ago) WEBCDC's One Health Office recognizes that the health of people is connected to the health of animals and our shared environment. A One Health approach encourages collaborative efforts of many experts (like disease detectives, laboratorians, physicians, and veterinarians) working across human, animal, and environmental health to improve the …

https://www.cdc.gov/one-health/about/index.html

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Improving spatial access to healthcare facilities: an integrated

(Just Now) WEBImproving spatial access to healthcare facilities is of great interest in urban planning. However, most facility location models fall short of explicitly incorporating the spatial accessibility measure in designing facility locations. Thus, this paper develops a novel framework to directly improve spatial access to healthcare facilities, by integrating …

https://link.springer.com/article/10.1007/s10479-024-06028-y

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Land Free Full-Text Identification of Critical Areas of - MDPI

(9 days ago) WEBTo alleviate the contradiction between high-density urban spatial environments and high-frequency citizens’ activities, it is vital to determine the degree of openness of waterfront space, figure out the matching relationship between spatial openness and vitality intensity, identify imbalanced spatial zones and divide the order of …

https://www.mdpi.com/2073-445X/13/5/686

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