scholarly journals Adding Space to Disease Models: A Case Study with COVID-19 in Oregon, USA

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 438
Author(s):  
Nathan H. Schumaker ◽  
Sydney M. Watkins
Keyword(s):  
Life History ◽  
Spatial Model ◽  
Disease Model ◽  
Forecasting Model ◽  
Disease Models ◽  
Spatially Explicit ◽  
Infection Rates ◽  
Distributed Array ◽  
Geographic Setting

We selected the COVID-19 outbreak in the state of Oregon, USA as a system for developing a general geographically nuanced epidemiological forecasting model that balances simplicity, realism, and accessibility. Using the life history simulator HexSim, we inserted a mathematical SIRD disease model into a spatially explicit framework, creating a distributed array of linked compartment models. Our spatial model introduced few additional parameters, but casting the SIRD equations into a geographic setting significantly altered the system’s emergent dynamics. Relative to the non-spatial model, our simple spatial model better replicated the record of observed infection rates in Oregon. We also observed that estimates of vaccination efficacy drawn from the non-spatial model tended to be higher than those obtained from models that incorporate geographic variation. Our spatially explicit SIRD simulations of COVID-19 in Oregon suggest that modest additions of spatial complexity can bring considerable realism to a traditional disease model.

Assessing Interventions That Prevent Multiple Infectious Diseases: Simple Methods for Multidisease Modeling

2021 ◽  
pp. 0272989X2110332
Author(s):  
Anneke L. Claypool ◽  
Jeremy D. Goldhaber-Fiebert ◽  
Margaret L. Brandeau
Keyword(s):  
Yellow Fever ◽  
Mosquito Control ◽  
Disease Incidence ◽  
Disease Model ◽  
Disease Models ◽  
Insecticide Treated Nets ◽  
Dengue Vaccine ◽  
Mosquito Nets ◽  
Competing Mortality

Background Many cost-effectiveness analyses (CEAs) only consider outcomes for a single disease when comparing interventions that prevent or treat 1 disease (e.g., vaccination) to interventions that prevent or treat multiple diseases (e.g., vector control to prevent mosquito-borne diseases). An intervention targeted to a single disease may be preferred to a broader intervention in a single-disease model, but this conclusion might change if outcomes from the additional diseases were included. However, multidisease models are often complex and difficult to construct. Methods We present conditions for when multiple diseases should be considered in such a CEA. We propose methods for estimating health outcomes and costs associated with control of additional diseases using parallel single-disease models. Parallel modeling can incorporate competing mortality and coinfection from multiple diseases while maintaining model simplicity. We illustrate our approach with a CEA that compares a dengue vaccine, a chikungunya vaccine, and mosquito control via insecticide and mosquito nets, which can prevent dengue, chikungunya, Zika, and yellow fever. Results The parallel models and the multidisease model generated similar estimates of disease incidence and deaths with much less complexity. When using this method in our case study, considering only chikungunya and dengue, the preferred strategy was insecticide. A broader strategy—insecticide plus long-lasting insecticide-treated nets—was not preferred when Zika and yellow fever were included, suggesting the conclusion is robust even without the explicit inclusion of all affected diseases. Limitations Parallel modeling assumes independent probabilities of infection for each disease. Conclusions When multidisease effects are important, our parallel modeling method can be used to model multiple diseases accurately while avoiding additional complexity.

Decolonising a landscape architecture studio: Spatial modelling of student narratives

2021 ◽  
Vol 1 (1) ◽  
pp. 39-47
Author(s):  
Christine Price
Keyword(s):  
Spatial Model ◽  
Meaning Making ◽  
Three Dimensional ◽  
Spatial Modelling ◽  
First Year ◽  
Spatial Form ◽  
Public Park ◽  
New Meanings ◽  
Global North

This paper problematises the dominance of global north perspectives in landscape architectural education, in South Africa where there are urgent calls to decolonise education and make visible indigenous and vernacular meaning-making practices. In grappling with these concerns, this research finds resonance with a multimodal social semiotic approach that acknowledges the interest, agency and resourcefulness of students as meaning-makers in both accessing and challenging dominant educational discourses. This research involves a case study of a design project in a first-year landscape architectural studio. The project requires students to choose a narrative and to represent it as a spatial model: a scaled, 3D maquette of a spatial experience that could be installed in a public park. This practitioner reflection closely analyses the spatial model of one student, Malibongwe, focusing on his interest in meaning-making; the innovative meaning-making practices and diverse resources he draws on; and his expression of spatial signifiers of the Black experiences portrayed in his narrative. This reflection shows how Malibongwe’s narrative is not only reproduced in the spatial model, it is remade: the transformation of resources into three-dimensional spatial form results in new understandings and the production of new meanings.

A TRIPARTITE CLUSTERING ANALYSIS ON MICRORNA, GENE AND DISEASE MODEL

2012 ◽  
Vol 10 (01) ◽  
pp. 1240007 ◽  
Author(s):  
CHENGCHENG SHEN ◽  
YING LIU
Keyword(s):  
Gene Expression ◽  
Clustering Algorithm ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Disease Model ◽  
Relational Information ◽  
Microrna Gene ◽  
Research Findings ◽  
Family Based

Alteration of gene expression in response to regulatory molecules or mutations could lead to different diseases. MicroRNAs (miRNAs) have been discovered to be involved in regulation of gene expression and a wide variety of diseases. In a tripartite biological network of human miRNAs, their predicted target genes and the diseases caused by altered expressions of these genes, valuable knowledge about the pathogenicity of miRNAs, involved genes and related disease classes can be revealed by co-clustering miRNAs, target genes and diseases simultaneously. Tripartite co-clustering can lead to more informative results than traditional co-clustering with only two kinds of members and pass the hidden relational information along the relation chain by considering multi-type members. Here we report a spectral co-clustering algorithm for k-partite graph to find clusters with heterogeneous members. We use the method to explore the potential relationships among miRNAs, genes and diseases. The clusters obtained from the algorithm have significantly higher density than randomly selected clusters, which means members in the same cluster are more likely to have common connections. Results also show that miRNAs in the same family based on the hairpin sequences tend to belong to the same cluster. We also validate the clustering results by checking the correlation of enriched gene functions and disease classes in the same cluster. Finally, widely studied miR-17-92 and its paralogs are analyzed as a case study to reveal that genes and diseases co-clustered with the miRNAs are in accordance with current research findings.

scholarly journals Linking life-history traits, spatial distribution and abundance of two species of lugworms to bait collection: A case study for sustainable management plan

2018 ◽  
Vol 140 ◽  
pp. 433-443 ◽  
Author(s):  
Lola De Cubber ◽  
Sébastien Lefebvre ◽  
Charline Fisseau ◽  
Vincent Cornille ◽  
Sylvie Marylène Gaudron
Keyword(s):  
Spatial Distribution ◽  
Life History ◽  
Sustainable Management ◽  
Life History Traits ◽  
Management Plan

The construction of a leadership identity based on empathy, care, and participation: María Eliana's history

2021 ◽  
pp. 174114322110380
Author(s):  
Andrea Carrasco ◽  
María E Díaz
Keyword(s):  
Social Justice ◽  
Life History ◽  
Academic Research ◽  
Leadership Positions ◽  
Leadership Identity ◽  
Self Recognition ◽  
History Of ◽  
Identity Based

Recent academic research highlights the role of leadership identity when thinking about the improvement of the educational field. Based on this research, this article aims to identify and analyze the elements that affect the development of leadership identity in female school principals within the Chilean context. This is achieved by working from a biographical-narrative approach, specifically from the life history technique. This analysis emerges from a considerate reflection on the teachings, and personal and professional milestones highlighted in the biogram. Both personally and professionally, a multiplicity of elements is observed in the life history of María Eliana, influencing the development of her leadership identity, particularly highlighting her self-recognition as a woman. This identity is oriented towards social justice, based on socio-emotional tools such as care, empathy, and participation; and understands and values the role these elements must take in Chilean education. The case study presents tensions for the Chilean educational system, which must be able to address the complexities that women experience while holding leadership positions, especially when challenged with the perspective that school is an inclusive space of social justice.

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