| 1. |
- Bennich, Therese, 1989-, et al.
(author)
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Deciphering the scientific literature on SDG interactions : A review and reading guide
- 2020
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In: Science of the Total Environment. - : Elsevier BV. - 0048-9697 .- 1879-1026. ; 728
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Research review (peer-reviewed)abstract
- The 2030 Agenda includes 17 overarching Sustainable Development Goals (SDGs). These are integrated in nature, and a principle of indivisibility should guide their implementation. Yet, the 2030 Agenda itself does not provide guidance on what indivisibility means in practice, how the SDGs interact, or on how to assess these interactions. The fast-emerging field of what could be referred to as SDG interaction studies seeks to provide such guidance, but as of yet there is no general agreement on what it means to take an integrated approach to the SDGs. Hence, navigating the diverse research landscape on SDG interactions might prove challenging. This paper aims to decipher the literature on SDG interactions by providing an overview of the current research, based on a sample of 70 peer-reviewed articles. The review explores four themes in SDG interaction research by mapping: (i) policy challenges typically addressed, (ii) ways in which SDG ‘interactions’ have been conceptualized, (iii) data sources used, and (iv) methods of analysis frequently employed. Research gaps are identified, where perspectives largely missing include policy innovation, and integrated monitoring and evaluation. Further, few studies consider actor interactions, account for geographic spill-overs, analyze SDG indicator interactions, employ participatory methods, or take a whole-systems approach to the 2030 Agenda. Failing to address these gaps could lead to inefficient SDG implementation and delay goal attainment. Another contribution of the paper is a reading guide, proposing a way to decipher the literature along the themes emerging from the review, and offering a structure to code future papers.
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| 2. |
- Björklund, Verna, et al.
(author)
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Early-onset group B streptococcal infections in five Nordic countries with different prevention policies, 1995 to 2019
- 2024
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In: Eurosurveillance. - : European Centre for Disease Control and Prevention (ECDC). - 1025-496X .- 1560-7917. ; 29:3
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Journal article (peer-reviewed)abstract
- Background: Neonatal early-onset disease caused by group B Streptococcus (GBS) is a leading cause of infant morbidity. Intrapartum antibiotic prophylaxis (IAP) is effective in preventing early-onset GBS disease, but there is no agreement on the optimal strategy for identifying the pregnant women requiring this treatment, and both risk-based prophylaxis (RBP) and GBS screening-based prophylaxis (SBP) are used.Aim: The aim of this study was to evaluate the effect of SBP as a public health intervention on the epidemiology of early-onset GBS infections.Methods: In 2012, Finland started the universal SBP, while Denmark, Iceland, Norway and Sweden continued with RBP. We conducted an interrupted time series analysis taking 2012 as the intervention point to evaluate the impact of this intervention. The incidences of early- and late-onset GBS infections during Period I (1995-2011) and Period II (2012-2019) were collected from each national register, covering 6,605,564 live births.Results: In Finland, a reduction of 58% in the incidence of early-onset GBS disease, corresponding to an incidence rate ratio (IRR) of 0.42 (95% CI: 0.34-0.52), was observed after 2012. At the same time, the pooled IRR of other Nordic countries was 0.89 (95% CI: 0.80-1.0), specifically 0.89 (95% CI: 0.70-1.5) in Denmark, 0.34 (95% CI: 0.15-0.81) in Iceland, 0.72 (95% CI: 0.59-0.88) in Norway and 0.97 (95% CI: 0.85-1.1) in Sweden.Conclusions: In this ecological study of five Nordic countries, early-onset GBS infections were approximately halved following introduction of the SBP approach as compared with RBP.
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| 3. |
- Borrelli, Pablo, et al.
(author)
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Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
- 2021
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In: Clinical Physiology and Functional Imaging. - : Wiley. - 1475-0961 .- 1475-097X. ; 41:1, s. 62-67
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Journal article (peer-reviewed)abstract
- Introduction Lymph node metastases are a key prognostic factor in prostate cancer (PCa), but detecting lymph node lesions from PET/CT images is a subjective process resulting in inter-reader variability. Artificial intelligence (AI)-based methods can provide an objective image analysis. We aimed at developing and validating an AI-based tool for detection of lymph node lesions. Methods A group of 399 patients with biopsy-proven PCa who had undergone(18)F-choline PET/CT for staging prior to treatment were used to train (n = 319) and test (n = 80) the AI-based tool. The tool consisted of convolutional neural networks using complete PET/CT scans as inputs. In the test set, the AI-based lymph node detections were compared to those of two independent readers. The association with PCa-specific survival was investigated. Results The AI-based tool detected more lymph node lesions than Reader B (98 vs. 87/117;p = .045) using Reader A as reference. AI-based tool and Reader A showed similar performance (90 vs. 87/111;p = .63) using Reader B as reference. The number of lymph node lesions detected by the AI-based tool, PSA, and curative treatment was significantly associated with PCa-specific survival. Conclusion This study shows the feasibility of using an AI-based tool for automated and objective interpretation of PET/CT images that can provide assessments of lymph node lesions comparable with that of experienced readers and prognostic information in PCa patients.
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| 4. |
- Bousquet, Jean, et al.
(author)
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ARIA digital anamorphosis : Digital transformation of health and care in airway diseases from research to practice
- 2021
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In: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 76:1, s. 168-190
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Research review (peer-reviewed)abstract
- Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
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| 5. |
- Carlsen, Henrik, et al.
(author)
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A sustainable trajectory for the 2030 Agenda: Targeting historical lock‐ins to accelerate progress on all SDGs
- 2024
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In: Sustainable Development. - 0968-0802 .- 1099-1719.
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Journal article (peer-reviewed)abstract
- The 2030 Agenda states that the 17 sustainable development goals (SDGs) make parts of an indivisible whole, and research on SDG implementation highlights how managing goal interactions—synergies and trade-offs—is key for implementation to be successful. Here, we present an empirically based and transparent method for developing “consistent scenarios” that identifies which SDGs will be unattainable if historical patterns of interaction between SDGs are maintained. Using historical data on SDG indicators and correlation analysis together with cross-impact balance analysis, we identify such scenarios for a set of high- to low-income countries. Finding no consistent scenario where progress can be made on all 17 SDGs for any of the countries, our findings demonstrate the importance of policies that target interactions and resolve trade-offs rather than individual goals to unlock a sustainable future trajectory. This reflects what was novel about the SDGs as a framework for global development; that the goals are indivisible and achieving them all require systemic changes that alter how social and economic processes interact with the environment.
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| 6. |
- Carlsen, Henrik, et al.
(author)
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Chasing artificial intelligence in shared socioeconomic pathways
- 2024
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In: One Earth. - : CELL PRESS. - 2590-3330 .- 2590-3322. ; 7:1, s. 18-22
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Journal article (other academic/artistic)abstract
- The development of artificial intelligence has likely reached an inflection point, with significant implications for how research needs to address emerging technologies and how they drive long-term socioeconomic development of importance for climate change scenarios.
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| 7. |
- Engström, Rebecka Ericsdotter, et al.
(author)
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Succeeding at home and abroad: accounting for the international spillovers of cities’ SDG actions
- 2021
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In: npj Urban Sustainability. - : Springer Nature. - 2661-8001. ; 1:1
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Journal article (peer-reviewed)abstract
- Cities are vital for achieving the Sustainable Development Goals (SDG), but different local strategies to advance on the same SDG may cause different ‘spillovers’ elsewhere. Research efforts that support governance of such spillovers are urgently needed to empower ambitious cities to ‘account globally’ when acting locally on SDG implementation strategies.
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| 8. |
- Hedlund, Johanna, 1988-, et al.
(author)
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Impacts of climate change on global food trade networks
- 2022
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In: Environmental Research Letters. - : IOP Publishing. - 1748-9326. ; 17:12
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Journal article (peer-reviewed)abstract
- Countries’ reliance on global food trade networks implies that regionally different climate change impacts on crop yields will be transmitted across borders. This redistribution constitutes a significant challenge for climate adaptation planning and may affect how countries engage in cooperative action. This paper investigates the long-term (2070–2099) potential impacts of climate change on global food trade networks of three key crops: wheat, rice and maize. We propose a simple network model to project how climate change impacts on crop yields may be translated into changes in trade. Combining trade and climate impact data, our analysis proceeds in three steps. First, we use network community detection to analyse how the concentration of global production in present-day trade communities may become disrupted with climate change impacts. Second, we study how countries may change their network position following climate change impacts. Third, we study the total climate-induced change in production plus import within trade communities. Results indicate that the stability of food trade network structures compared to today differs between crops, and that countries’ maize trade is least stable under climate change impacts. Results also project that threats to global food security may depend on production change in a few major global producers, and whether trade communities can balance production and import loss in some vulnerable countries. Overall, our model contributes a baseline analysis of cross-border climate impacts on food trade networks.
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| 9. |
- Olstrup, Henrik, et al.
(author)
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The Long-Term Mortality Effects Associated with Exposure to Particles and NOx in the Malmö Diet and Cancer Cohort
- 2023
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In: Toxics. - : MDPI. - 2305-6304. ; 11:11
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Journal article (peer-reviewed)abstract
- In this study, the long-term mortality effects associated with exposure to PM10 (particles with an aerodynamic diameter smaller than or equal to 10 µm), PM2.5 (particles with an aerodynamic diameter smaller than or equal to 2.5 µm), BC (black carbon), and NOx (nitrogen oxides) were analyzed in a cohort in southern Sweden during the period from 1991 to 2016. Participants (those residing in Malmö, Sweden, born between 1923 and 1950) were randomly recruited from 1991 to 1996. At enrollment, 30,438 participants underwent a health screening, which consisted of questionnaires about lifestyle and diet, a clinical examination, and blood sampling. Mortality data were retrieved from the Swedish National Cause of Death Register. The modeled concentrations of PM10, PM2.5, BC, and NOx at the cohort participants’ home addresses were used to assess air pollution exposure. Cox proportional hazard models were used to estimate the associations between long-term exposure to PM10, PM2.5, BC, and NOx and the time until death among the participants during the period from 1991 to 2016. The hazard ratios (HRs) associated with an interquartile range (IQR) increase in each air pollutant were calculated based on the exposure lag windows of the same year (lag0), 1–5 years (lag1–5), and 6–10 years (lag6–10). Three models were used with varying adjustments for possible confounders including both single-pollutant estimates and two-pollutant estimates. With adjustments for all covariates, the HRs for PM10, PM2.5, BC, and NOx in the single-pollutant models at lag1–5 were 1.06 (95% CI: 1.02–1.11), 1.01 (95% CI: 0.95–1.08), 1.07 (95% CI: 1.04–1.11), and 1.11 (95% CI: 1.07–1.16) per IQR increase, respectively. The HRs, in most cases, decreased with the inclusion of a larger number of covariates in the models. The most robust associations were shown for NOx, with statistically significant positive HRs in all the models. An overall conclusion is that road traffic-related pollutants had a significant association with mortality in the cohort.
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| 10. |
- Polymeri, Erini, et al.
(author)
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Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
- 2021
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In: Scandinavian Journal of Urology. - : Medical Journals Sweden AB. - 2168-1805 .- 2168-1813. ; 55:6, s. 427-433
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Journal article (peer-reviewed)abstract
- Objective Artificial intelligence (AI) offers new opportunities for objective quantitative measurements of imaging biomarkers from positron-emission tomography/computed tomography (PET/CT). Clinical image reporting relies predominantly on observer-dependent visual assessment and easily accessible measures like SUVmax, representing lesion uptake in a relatively small amount of tissue. Our hypothesis is that measurements of total volume and lesion uptake of the entire tumour would better reflect the disease`s activity with prognostic significance, compared with conventional measurements. Methods An AI-based algorithm was trained to automatically measure the prostate and its tumour content in PET/CT of 145 patients. The algorithm was then tested retrospectively on 285 high-risk patients, who were examined using F-18-choline PET/CT for primary staging between April 2008 and July 2015. Prostate tumour volume, tumour fraction of the prostate gland, lesion uptake of the entire tumour, and SUVmax were obtained automatically. Associations between these measurements, age, PSA, Gleason score and prostate cancer-specific survival were studied, using a Cox proportional-hazards regression model. Results Twenty-three patients died of prostate cancer during follow-up (median survival 3.8 years). Total tumour volume of the prostate (p = 0.008), tumour fraction of the gland (p = 0.005), total lesion uptake of the prostate (p = 0.02), and age (p = 0.01) were significantly associated with disease-specific survival, whereas SUVmax (p = 0.2), PSA (p = 0.2), and Gleason score (p = 0.8) were not. Conclusion AI-based assessments of total tumour volume and lesion uptake were significantly associated with disease-specific survival in this patient cohort, whereas SUVmax and Gleason scores were not. The AI-based approach appears well-suited for clinically relevant patient stratification and monitoring of individual therapy.
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