Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Boris, Kauhl"'
1
Akademický článek
Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression
Autor: Boris Kauhl, Jürgen Schweikart, Thomas Krafft, Andrea Keste, Marita Moskwyn
Publikováno v: International Journal of Health Geographics, Vol 15, Iss 1, Pp 1-12 (2016)
Abstract Background The provision of general practitioners (GPs) in Germany still relies mainly on the ratio of inhabitants to GPs at relatively large scales and barely accounts for an increased prevalence of chronic diseases among the elderly and so
Externí odkaz: https://doaj.org/article/a145c8b4db7246fc8047e96894345645
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2
Spatial Distribution of COVID-19 Hospitalizations and Associated Risk Factors in Health Insurance Data Using Bayesian Spatial Modelling
Autor: Boris Kauhl, Jörg König, Sandra Wolf
Publikováno v: International Journal of Environmental Research and Public Health
Volume 20
Issue 5
Pages: 4375
The onset of COVID-19 across the world has elevated interest in geographic information systems (GIS) for pandemic management. In Germany, however, most spatial analyses remain at the relatively coarse level of counties. In this study, we explored the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48314afab3a7b6410c59787be3663d24
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3
Akademický článek
Who is where at risk for Chronic Obstructive Pulmonary Disease? A spatial epidemiological analysis of health insurance claims for COPD in Northeastern Germany.
Autor: Boris Kauhl, Werner Maier, Jürgen Schweikart, Andrea Keste, Marita Moskwyn
Publikováno v: PLoS ONE, Vol 13, Iss 2, p e0190865 (2018)
Chronic obstructive pulmonary disease (COPD) has a high prevalence rate in Germany and a further increase is expected within the next years. Although risk factors on an individual level are widely understood, only little is known about the spatial he
Externí odkaz: https://doaj.org/article/e2918e411a2f4390bbdcfb63df21030a
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4
Akademický článek
Is the current pertussis incidence only the results of testing? A spatial and space-time analysis of pertussis surveillance data using cluster detection methods and geographically weighted regression modelling.
Autor: Boris Kauhl, Jeanne Heil, Christian J P A Hoebe, Jürgen Schweikart, Thomas Krafft, Nicole H T M Dukers-Muijrers
Publikováno v: PLoS ONE, Vol 12, Iss 3, p e0172383 (2017)
BACKGROUND:Despite high vaccination coverage, pertussis incidence in the Netherlands is amongst the highest in Europe with a shifting tendency towards adults and elderly. Early detection of outbreaks and preventive actions are necessary to prevent se
Externí odkaz: https://doaj.org/article/b900e1ca73a641a6b31fb3236ba51058
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5
Akademický článek
The Spatial Distribution of Hepatitis C Virus Infections and Associated Determinants--An Application of a Geographically Weighted Poisson Regression for Evidence-Based Screening Interventions in Hotspots.
Autor: Boris Kauhl, Jeanne Heil, Christian J P A Hoebe, Jürgen Schweikart, Thomas Krafft, Nicole H T M Dukers-Muijrers
Publikováno v: PLoS ONE, Vol 10, Iss 9, p e0135656 (2015)
BackgroundHepatitis C Virus (HCV) infections are a major cause for liver diseases. A large proportion of these infections remain hidden to care due to its mostly asymptomatic nature. Population-based screening and screening targeted on behavioural ri
Externí odkaz: https://doaj.org/article/88086005b91a4571b559188b844ff144
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7
Die räumliche Verbreitung des Typ 2 Diabetes Mellitus in Berlin – Die Anwendung einer geografisch gewichteten Regressionsanalyse zur Identifikation ortsspezifischer Risikogruppen
Autor: Jonas Pieper, Andrea Keste, Marita Moskwyn, Jürgen Schweikart, Boris Kauhl
Publikováno v: Das Gesundheitswesen. 80:S64-S70
Zusammenfassung Das Hintergrundwissen, welche Bevölkerungsgruppen an welchem Ort einem erhöhten Risiko an Typ 2 Diabetes Mellitus (T2DM) zu erkranken ausgesetzt ist, erlaubt effiziente und kostensparende Interventionen, die sich genau an die lokale
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be4e77bf23b24e61de670718dc1e69f7
https://doi.org/10.1055/s-0042-123845
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8
Geographic Information Systems (GIS) in Public Health
Autor: Boris Kauhl
Healthcare and prevention strategies are often planned based on the assumption that demand for healthcare and risk populations for diseases are the same everywhere. However, most health problems and associated risk factors vary widely across regions.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70986a7c30f197ad9b6b19de57e5379
https://doi.org/10.26481/dis.20180117bk
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9
Estimating the spatial distribution of acute undifferentiated fever (AUF) and associated risk factors using emergency call data in India. A symptom-based approach for public health surveillance
Autor: Boris Kauhl, Ramana Rao, Jürgen Schweikart, Thomas Krafft, Oliver Gruebner, Eva Pilot
Publikováno v: Health & Place, 31, 111-119. ELSEVIER SCI LTD
The System for Early-warning based on Emergency Data (SEED) is a pilot project to evaluate the use of emergency call data with the main complaint acute undifferentiated fever (AUF) for syndromic surveillance in India. While spatio-temporal methods pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efb5aa0fb99b618e31202264752fa437
https://doi.org/10.1016/j.healthplace.2014.11.002
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10
Is the current pertussis incidence only the results of testing? A spatial and space-time analysis of pertussis surveillance data using cluster detection methods and geographically weighted regression modelling
Autor: Jeanne Heil, Juergen Schweikart, Boris Kauhl, Thomas Krafft, Nicole H. T. M. Dukers-Muijrers, Christian J. P. A. Hoebe
Publikováno v: PLoS ONE, Vol 12, Iss 3, p e0172383 (2017)
PLOS ONE, 12(3):e0172383. Public Library of Science
PLoS ONE
BackgroundDespite high vaccination coverage, pertussis incidence in the Netherlands is amongst the highest in Europe with a shifting tendency towards adults and elderly. Early detection of outbreaks and preventive actions are necessary to prevent sev
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e006fc6f5836d7c5d2d3f8245437f36
https://doi.org/10.1371/journal.pone.0172383
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