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146 results for “material costs”
Supplementary material 8 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Figure S3
Supplementary material 5 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Script 1
Association of neighborhood-level material deprivation with healthcare costs and outcome after stroke
<p>The objective was to determine the association between material deprivation and direct healthcare costs and clinical outcomes following stroke in the context of a publicly funded universal healthcare system. In this population-based cohort study of patients with ischemic and hemorrhagic stroke admitted to hospital between 2008 and 2017 in Ontario, Canada, we used linked administrative data to identify the cohort, predictor variables, and outcomes. The exposure was a five-level neighborhood material deprivation index. The primary outcome was direct healthcare costs incurred by the public payer in the first year. Secondary outcomes were death and admission to long-term care. Among 90,289 patients with stroke, the mean (standard deviation) per-person costs increased with increasing material deprivation, from $50,602 ($55,582) in the least deprived quintile to $56,292 ($59,721) in the most deprived quintile (unadjusted relative cost ratio and 95% confidence intervals 1.11 [1.08,1.13] and adjusted relative cost ratio 1.07 [1.05,1.10] for least compared to most deprived quintile). People in the most deprived quintile had higher mortality within one year compared to the least deprived quintile (adjusted hazard ratio (HR) 1.07 [1.03,1.12]) as well as within three years (adjusted HR 1.09 [1.05,1.13]). Admission to long-term care increased incrementally with material deprivation and those in the most deprived quintile had an adjusted HR of 1.33 [1.24,1.43]) compared to those in the least deprived quintile. Material deprivation is a risk factor for increased costs and poor outcomes after stroke. Interventions targeting health inequities due to social determinants of health are needed.</p>
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Annual average costs of biological invasions in Singapore. Note the y-axis is on a log10 scale
Supplementary material 2 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Database subset
Supplementary material 1 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Database of the economic costs of biological invasions in Mexico
Supplementary material 2 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Economic sectors impacted by IAS in Mexico
Supplementary material 5 from: Cuthbert RN, Bartlett AC, Turbelin AJ, Haubrock PJ, Diagne C, Pattison Z, Courchamp F, Catford JA (2021) Economic costs of biological invasions in the United Kingdom. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 299-328. https://doi.org/10.3897/neobiota.67.59743
Figure S1
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Sundermann A, Diagne C, Golivets M, Courchamp F (2021) Economic costs of invasive species in Germany. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 225-246. https://doi.org/10.3897/neobiota.67.59502
Description of the sectors considered in the InvaCost database
Supplementary material 1 from: Heringer G, Angulo E, Ballesteros-Mejia L, Capinha C, Courchamp F, Diagne C, Duboscq-Carra VG, Nuñez MA, Zenni RD (2021) The economic costs of biological invasions in Central and South America: a first regional assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 401-426. https://doi.org/10.3897/neobiota.67.59193
Tables S1–S4
Supplementary material 3 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S3. Observed mixed costs for Brazil from the invacost database
Supplementary material 4 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S4
Supplementary material 3 from: Angulo E, Ballesteros-Mejia L, Novoa A, Duboscq-Carra VG, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Spain. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 267-297. https://doi.org/10.3897/neobiota.67.59181
Lists of species used in Figure 5
Supplementary material 4 from: Angulo E, Ballesteros-Mejia L, Novoa A, Duboscq-Carra VG, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Spain. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 267-297. https://doi.org/10.3897/neobiota.67.59181
Figure S2
Supplementary material 5 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S5
Supplementary material 4 from: Renault D, Manfrini E, Leroy B, Diagne C, Ballesteros-Mejia L, Angulo E, Courchamp F (2021) Biological invasions in France: Alarming costs and even more alarming knowledge gaps. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 191-224. https://doi.org/10.3897/neobiota.67.59134
Listing of the 2750 introduced or invasive alien species with accepted names in France
Supplementary material 2 from: Renault D, Manfrini E, Leroy B, Diagne C, Ballesteros-Mejia L, Angulo E, Courchamp F (2021) Biological invasions in France: Alarming costs and even more alarming knowledge gaps. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 191-224. https://doi.org/10.3897/neobiota.67.59134
Description of the different sectors of the InvaCost database
Supplementary material 10 from: Diagne C, Turbelin AJ, Moodley D, Novoa A, Leroy B, Angulo E, Adamjy T, Dia CA.K.M, Taheri A, Tambo J, Dobigny G, Courchamp F (2021) The economic costs of biological invasions in Africa: a growing but neglected threat? In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 11-51. https://doi.org/10.3897/neobiota.67.59132
List of species as well as their cost estimates recorded in our dataset
Supplementary material 8 from: Diagne C, Turbelin AJ, Moodley D, Novoa A, Leroy B, Angulo E, Adamjy T, Dia CA.K.M, Taheri A, Tambo J, Dobigny G, Courchamp F (2021) The economic costs of biological invasions in Africa: a growing but neglected threat? In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 11-51. https://doi.org/10.3897/neobiota.67.59132
Quantitative summary of the costs reported in each African region
Supplementary material 2 from: Angulo E, Ballesteros-Mejia L, Novoa A, Duboscq-Carra VG, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Spain. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 267-297. https://doi.org/10.3897/neobiota.67.59181
Figure S1
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OpenNeuro
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