| 1. |
- Bota, András, et al.
(författare)
-
Socioeconomic and environmental patterns behind H1N1 spreading in Sweden
- 2021
-
Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 11
-
Tidskriftsartikel (refereegranskat)abstract
- Identifying the critical factors related to influenza spreading is crucial in predicting and mitigating epidemics. Specifically, uncovering the relationship between epidemic onset and various risk indicators such as socioeconomic, mobility and climate factors can reveal locations and travel patterns that play critical roles in furthering an outbreak. We study the 2009 A(H1N1) influenza outbreaks in Sweden’s municipalities between 2009 and 2015 and use the Generalized Inverse Infection Method (GIIM) to assess the most significant contributing risk factors. GIIM represents an epidemic spreading process on a network: nodes correspond to geographical objects, links indicate travel routes, and transmission probabilities assigned to the links guide the infection process. Our results reinforce existing observations that the influenza outbreaks considered in this study were driven by the country’s largest population centers, while meteorological factors also contributed significantly. Travel and other socioeconomic indicators have a negligible effect. We also demonstrate that by training our model on the 2009 outbreak, we can predict the epidemic onsets in the following five seasons with high accuracy.
|
|
| 2. |
- Hillberg, Emil, et al.
(författare)
-
Active Network Management for All : ANM4L a collaborative research project
- 2020
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Developments of the power system are driven by the need to decrease the environmental footprint, to meet international climate goals, pushing for fossil‐free energy system. The transition towards clean energy will require power systems to adapt on a global scale with significant investments needed in fossil‐free electricity generation and transport. Renewable Energy Sources (RES) play an increasingly important role in the power system and may become the dominant sources of electricity. Significant RES are integrated in distribution grids globally, resulting in an increased need for distribution grids to perform new and complex tasks necessary for continued grid stability. The rapidity of small‐scale investments calls for agile, alternative grid development solutions. This agility is furthermore necessary to meet challenges arising from demand scenarios encompassing intermittent renewables along with electrification of transport and heat sectors. New technologies and markets are emerging to provide flexibility in consumption, generation, and power transfer capacity. Active Network Management (ANM) solutions provides alternative methods for planning and operation of the power system, through monitoring and control of multiple grid assets. This paper presents an overview of the ongoing project ANM4L, where a toolbox will be developed to support operation and planning of distribution grids.The project ANM4L (Active network management for all - anm4l.eu), will develop and demonstrate innovative ANM solutions for increasing integration of distributed generation in electricity distribution systems. ANM solutions will consider management of active and reactive power to avoid overload situations and maintain voltage limits. The goal is to decrease the need of curtailment of renewable energy, theoretically enabling further integration of distributed generation potentially even above the current design limitations of the electricity network. Core research and development activities of the ANM4L project include development of: ANM methods for local energy systems. Economic considerations to provide decision support. A toolbox to support the planning and operation. The toolbox, methods and business models for ANM will be demonstrated in real life distribution grids in both Sweden and Hungary. Furthermore, the project will consider the replicability and scalability necessary for these ANM solutions to be applied across the EU.
|
|
| 3. |
|
|
| 4. |
- Ali, Sadiq Mohammad, et al.
(författare)
-
Gender differences in daily smoking prevalence in different age strata: A population-based study in southern Sweden.
- 2009
-
Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1651-1905 .- 1403-4948. ; 37:2, s. 146-152
-
Tidskriftsartikel (refereegranskat)abstract
- Objectives: To investigate gender differences in daily smoking prevalence in different age groups in southern Sweden. Methods: The 2004 public-health survey in Skåne is a cross-sectional study. A total of 27,757 persons aged 18-80 years answered a postal questionnaire, which represents 59% of the random sample. A logistic regression model was used to investigate the associations between gender and daily smoking according to age. The multivariate analysis was performed to investigate the importance of possible confounders (country of origin, education, snus use, alcohol consumption, leisure-time physical activity, and BMI) on the gender differences in daily smoking in different age groups. Results: 14.9% of the men and 18.1% of the women were daily smokers. Middle-aged respondents were daily smokers to a significantly higher extent than young and old respondents. The prevalence of daily smoking also varied according to other demographic, socioeconomic, health related behaviour, and BMI characteristics. The crude odds ratios of daily smoking were 1.79 (1.42-2.26) among women compared to men in the 18-24 years age group, and 0.95 (0.80-1.12) in the 65-80 years age group. These odds ratios changed to 2.00 (1.49-2.67) and 0.95 (0.76-1.18), respectively, when all confounders were included. CONCLUSIONS: For the first time in Sweden women have a higher prevalence of daily smoking than men. The odds ratios of daily smoking are highest among women compared to men in the youngest age group of 18-24 years and the odds ratios decrease with increasing age. The findings point to a serious public health problem. Strategic interventions targeting young women's tobacco smoking are needed.
|
|
| 5. |
- Ali, Sadiq Mohammad, et al.
(författare)
-
Social capital, the miniaturisation of community, traditionalism and first time acute myocardial infarction: A prospective cohort study in southern Sweden.
- 2006
-
Ingår i: Social Science and Medicine. - : Elsevier BV. - 1873-5347 .- 0277-9536. ; 63:8, s. 2204-2217
-
Tidskriftsartikel (refereegranskat)abstract
- This longitudinal study investigates the impact of social participation, trust and the combinations of social participation and trust on the incidence of first time acute myocardial infarction (AMI) in the population of Scania, southern Sweden. It is based on the cross-sectional 2000 public-health survey in Scania with a 59% participation rate and 13,604 participants, and prospective morbidity/mortality data collected for three years (January 2000-December 2002). The study cohort was followed prospectively to examine first ever AMI Hazard rate ratios (HRR) for first time AMI in the social participation, trust and social participation/trust combinations were calculated in a Cox regression model with adjustments for age, sex, education, economic stress, daily smoking, leisure time physical activity, body mass index (BMI), and self-reported health. The prevalence of low social participation was 32.8% among men and 31.5% among women. The prevalence of low trust was 40.0% among men and 44.2% among women. The three-year first time AMI rate was significantly higher among people with higher age, low education, daily smoking, poor self-reported health (among men), low social participation, and the combinations of low social participation/high trust and low social participation/low trust. The results show that low social participation but not trust was significantly associated with first time AMI after adjustment for age and sex. The positive association between low social participation and myocardial infarction remained significant after further adjustments for education, economic stress, daily smoking, physical activity and BMI, and became not significant only after additional adjustment for self-reported health, HRR 1.3 (0.9-2.0). High trust in combination with low social participation as well as low social capital (low trust/low social participation) were significantly associated with AMI, but after multiple adjustments only the low social participation/high trust category remained significant, HRR 1.6 (1.0-2.6).
|
|
| 6. |
- Aslak, Ulf, et al.
(författare)
-
Constrained information flows in temporal networks reveal intermittent communities
- 2018
-
Ingår i: Physical review. E. - : American Physical Society. - 2470-0045 .- 2470-0053. ; 97:6
-
Tidskriftsartikel (refereegranskat)abstract
- Many real-world networks represent dynamic systems with interactions that change over time, often in uncoordinated ways and at irregular intervals. For example, university students connect in intermittent groups that repeatedly form and dissolve based on multiple factors, including their lectures, interests, and friends. Such dynamic systems can be represented as multilayer networkswhere each layer represents a snapshot of the temporal network. In this representation, it is crucial that the links between layers accurately capture real dependencies between those layers. Often, however, these dependencies are unknown. Therefore, current methods connect layers based on simplistic assumptions that do not capture node-level layer dependencies. For example, connecting every node to itself in other layers with the same weight can wipe out dependencies between intermittent groups, making it difficult or even impossible to identify them. In this paper, we present a principled approach to estimating node-level layer dependencies based on the network structure within each layer. We implement our node-level coupling method in the community detection framework Infomap and demonstrate its performance compared to current methods on synthetic and real temporal networks. We show that our approach more effectively constrains information inside multilayer communities so that Infomap can better recover planted groups in multilayer benchmark networks that represent multiple modeswith different groups and better identify intermittent communities in real temporal contact networks. These results suggest that node-level layer coupling can improve the modeling of information spreading in temporal networks and better capture intermittent community structure.
|
|
| 7. |
- Axelsson, Jakob H, et al.
(författare)
-
Sexual orientation and self-rated health: the role of social capital, offence, threat of violence, and violence.
- 2013
-
Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1651-1905 .- 1403-4948. ; 41:5, s. 508-515
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: To study the association between sexual orientation and self-rated health, including trust, offence, threat of violence, and violence. Design/setting/participants/measurement: The 2008 Public Health Survey in Skåne is a cross-sectional postal questionnaire study. A total of 28,198 persons aged 18-80 years responded (55%). Logistic regressions analysed the association between sexual orientation and self-rated health. Results: 27.4% of all men and 30.0% of all women rated their health as poor. Poor self-rated health was significantly more prevalent in higher age, among immigrants, people with lower education, low social support, low trust, experience of being offended, experience of threat of violence and violence, and bisexual and other orientation. Homosexual and bisexual men and women had higher age-adjusted odds ratios of having felt offended compared to heterosexual respondents. The odds ratios of low trust, threat of violence (men), and experience of violence (women) were significant for respondents with bisexual orientation but not for respondents with homosexual orientation. In the age-adjusted model, no significant association was observed between homosexual orientation and poor self-rated health among women. All other associations between sexual orientation and health were significant in the age-adjusted model but non-significant in the multiple models. Conclusions: Associations between sexual orientation and health disappear after multiple adjustments including trust and experience of offence, threat of violence, and violence. The study suggests that the group with bisexual orientation seems to be more exposed to low social capital (trust), threat of violence, and violence than the group with homosexual orientation.
|
|
| 8. |
- Bae, Seung-Hee, et al.
(författare)
-
Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis
- 2017
-
Ingår i: ACM Transactions on Knowledge Discovery from Data. - : Association for Computing Machinery (ACM). - 1556-4681 .- 1556-472X. ; 11:3
-
Tidskriftsartikel (refereegranskat)abstract
- Community detection is an increasingly popular approach to uncover important structures in large networks. Flow-based community detection methods rely on communication patterns of the network rather than structural properties to determine communities. The Infomap algorithm in particular optimizes a novel objective function called the map equation and has been shown to outperform other approaches in third-party benchmarks. However, Infomap and its variants are inherently sequential, limiting their use for large-scale graphs. In this article, we propose a novel algorithm to optimize the map equation called RelaxMap. RelaxMap provides two important improvements over Infomap: parallelization, so that the map equation can be optimized over much larger graphs, and prioritization, so that the most important work occurs first, iterations take less time, and the algorithm converges faster. We implement these techniques using OpenMP on shared-memory multicore systems, and evaluate our approach on a variety of graphs from standard graph clustering benchmarks as well as real graph datasets. Our evaluation shows that both techniques are effective: RelaxMap achieves 70% parallel efficiency on eight cores, and prioritization improves algorithm performance by an additional 20-50% on average, depending on the graph properties. Additionally, RelaxMap converges in the similar number of iterations and provides solutions of equivalent quality as the serial Infomap implementation.
|
|
| 9. |
- Bae, Seung-Hee, et al.
(författare)
-
Scalable Flow-Based Community Detection for Large-Scale Network Analysis
- 2013
-
Ingår i: 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW). - : IEEE. - 9780769551098 ; , s. 303-310
-
Konferensbidrag (refereegranskat)abstract
- Community-detection is a powerful approach to uncover important structures in large networks. Since networks often describe flow of some entity, flow-based community-detection methods are particularly interesting. One such algorithm is called Infomap, which optimizes the objective function known as the map equation. While Infomap is known to be an effective algorithm, its serial implementation cannot take advantage of multicore processing in modern computers. In this paper, we propose a novel parallel generalization of Infomap called RelaxMap. This algorithm relaxes concurrency assumptions to avoid lock overhead, achieving 70% parallel efficiency in shared-memory multicore experiments while exhibiting similar convergence properties and finding similar community structures as the serial algorithm. We evaluate our approach on a variety of real graph datasets as well as synthetic graphs produced by a popular graph generator used for benchmarking community detection algorithms. We describe the algorithm, the experiments, and some emerging research directions in high-performance community detection on massive graphs.
|
|
| 10. |
- Bassolas, Aleix, et al.
(författare)
-
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks
- 2022
-
Ingår i: Science Advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 8:43
-
Tidskriftsartikel (refereegranskat)abstract
- Integrating structural information and metadata, such as gender, social status, or interests, enriches networks and enables a better understanding of the large-scale structure of complex systems. However, existing approaches to augment networks with metadata for community detection only consider immediately adjacent nodes and cannot exploit the nonlocal relationships between metadata and large-scale network structure present in many spatial and social systems. Here, we develop a flow-based community detection framework based on the map equation that integrates network information and metadata of distant nodes and reveals more complex relationships. We analyze social and spatial networks and find that our methodology can detect functional metadata-informed communities distinct from those derived solely from network information or metadata. For example, in a mobility network of London, we identify communities that reflect the heterogeneity of income distribution, and in a European power grid network, we identify communities that capture relationships between geography and energy prices beyond country borders.
|
|
