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Your search keyword '"Christensen, Heidi Søgaard"' showing total 11 results
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11 results on '"Christensen, Heidi Søgaard"'

3. Geographical and ecological analyses of multiple myeloma in Denmark:Identification of potential hotspot areas and impact of urbanisation

Author

Bertelsen, Lise Dueholm, Børty Nielsen, Lars, Christensen, Heidi Søgaard, Bøgsted, Martin, Gregersen, Henrik, Pedersen, Robert Schou, Klostergaard, Anja, Schnack, Brian Iversen, Pedersen, Per Trøllund, Abildgaard, Niels, Hermansen, Emil, Vangsted, Annette Juul, Severinsen, Marianne Tang, Bertelsen, Lise Dueholm, Børty Nielsen, Lars, Christensen, Heidi Søgaard, Bøgsted, Martin, Gregersen, Henrik, Pedersen, Robert Schou, Klostergaard, Anja, Schnack, Brian Iversen, Pedersen, Per Trøllund, Abildgaard, Niels, Hermansen, Emil, Vangsted, Annette Juul, and Severinsen, Marianne Tang

Abstract

Background: The aetiology of multiple myeloma (MM) is unknown but various environmental exposures are suspected as risk factors. We present the first paper analysing the geographical distribution of MM in Denmark at the municipal level to investigate variations that could be explained by environmental exposures. Methods: Patients diagnosed with MM in Denmark during 2005–2020 were identified from nationwide registries and grouped into the 98 Danish municipalities based on residence. The age- and sex-standardised incidence rate (SIR) of each municipality was compared to the national incidence in a funnel plot with 95% control limits. Differences in SIRs of rural, suburban, and urban areas were evaluated with incidence rate ratios. Results: In total, 5243 MM patients were included. Overall, we found a heterogeneous geographical distribution of MM and a potential hotspot in southern Denmark. This hotspot contains three municipalities with SIRs above the 95% control limit assuming considerably higher rate of MM compared to the national incidence rate. A significant higher SIR was found in rural areas compared to urban areas. Conclusion: The geographical distribution of MM in Denmark indicates that the risk of developing MM depends on place of residence probably due to environmental factors.

Published
2023

4. Geographical and ecological analyses of multiple myeloma in Denmark: Identification of potential hotspot areas and impact of urbanisation

Author

Bertelsen, Lise Dueholm, primary, Børty Nielsen, Lars, additional, Christensen, Heidi Søgaard, additional, Bøgsted, Martin, additional, Gregersen, Henrik, additional, Pedersen, Robert Schou, additional, Klostergaard, Anja, additional, Schnack, Brian Iversen, additional, Pedersen, Per Trøllund, additional, Abildgaard, Niels, additional, Hermansen, Emil, additional, Vangsted, Annette Juul, additional, and Severinsen, Marianne Tang, additional

Published
2022
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6. Geographical and ecological analyses of multiple myeloma in Denmark: Identification of potential hotspot areas and impact of urbanisation.

Author

Bertelsen, Lise Dueholm, Børty Nielsen, Lars, Christensen, Heidi Søgaard, Bøgsted, Martin, Gregersen, Henrik, Pedersen, Robert Schou, Klostergaard, Anja, Schnack, Brian Iversen, Pedersen, Per Trøllund, Abildgaard, Niels, Hermansen, Emil, Vangsted, Annette Juul, and Severinsen, Marianne Tang

Subjects
MULTIPLE myeloma, URBANIZATION, ENVIRONMENTAL exposure, CITIES & towns, DISEASE clusters
Abstract

Background: The aetiology of multiple myeloma (MM) is unknown but various environmental exposures are suspected as risk factors. We present the first paper analysing the geographical distribution of MM in Denmark at the municipal level to investigate variations that could be explained by environmental exposures. Methods: Patients diagnosed with MM in Denmark during 2005–2020 were identified from nationwide registries and grouped into the 98 Danish municipalities based on residence. The age‐ and sex‐standardised incidence rate (SIR) of each municipality was compared to the national incidence in a funnel plot with 95% control limits. Differences in SIRs of rural, suburban, and urban areas were evaluated with incidence rate ratios. Results: In total, 5243 MM patients were included. Overall, we found a heterogeneous geographical distribution of MM and a potential hotspot in southern Denmark. This hotspot contains three municipalities with SIRs above the 95% control limit assuming considerably higher rate of MM compared to the national incidence rate. A significant higher SIR was found in rural areas compared to urban areas. Conclusion: The geographical distribution of MM in Denmark indicates that the risk of developing MM depends on place of residence probably due to environmental factors. [ABSTRACT FROM AUTHOR]

Published
2023
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9. Structured space-sphere point processes and K- functions

Author

Møller, Jesper, Christensen, Heidi Søgaard, Pacheco, Francisco Andrés Cuevas, and Christoffersen, Andreas Dyreborg

Subjects
functional summary statistics, Shot noise Cox process, log Gaussian Cox process, pair correlation function, First and second order separability
Published
2018

10. Point processes on directed linear networks

Author

Rasmussen, Jakob Gulddahl and Christensen, Heidi Søgaard

Abstract

In this paper we consider point processes specified on directed linear networks, i.e. linear networks with associated directions. We adapt the so-called conditional intensity function used for specifying point processes on the time line to the setting of directed linear networks. For models specified by such a conditional intensity function, we derive an explicit expression for the likelihood function, specify two simulation algorithms (the inverse method and Ogata's modified thinning algorithm), and consider methods for model checking through the use of residuals. We also extend the results and methods to the case of a marked point process on a directed linear network. Furthermore, we consider specific classes of point process models on directed linear networks (Poisson processes, Hawkes processes, non-linear Hawkes processes, self-correcting processes, and marked Hawkes processes), all adapted from well-known models in the temporal setting. Finally, we apply the results and methods to analyse simulated and neurological data. In this paper we consider point processes specified on directed linear networks, i.e. linear networks with associated directions. We adapt the so-called conditional intensity function used for specifying point processes on the time line to the setting of directed linear networks. For models specified by such a conditional intensity function, we derive an explicit expression for the likelihood function, specify two simulation algorithms (the inverse method and Ogata's modified thinning algorithm), and consider methods for model checking through the use of residuals. We also extend the results and methods to the case of a marked point process on a directed linear network. Furthermore, we consider specific classes of point process models on directed linear networks (Poisson processes, Hawkes processes, non-linear Hawkes processes, self-correcting processes, and marked Hawkes processes), all adapted from well-known models in the temporal setting. Finally, we apply the results and methods to analyse simulated and neurological data.

Published
2018

11. Molecular Characteristics of High-Dose Melphalan Associated Oral Mucositis in Patients with Multiple Myeloma: A Gene Expression Study on Human Mucosa

Author

Marcussen, Mette, primary, Bødker, Julie Støve, additional, Christensen, Heidi Søgaard, additional, Johansen, Preben, additional, Nielsen, Søren, additional, Christiansen, Ilse, additional, Bergmann, Olav Jonas, additional, Bøgsted, Martin, additional, Dybkær, Karen, additional, Vyberg, Mogens, additional, and Johnsen, Hans Erik, additional

Published
2017
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