The role of qualitative knowledge in the formulation of compartmental models

Author(s):  
N. Radke-Sharpe ◽  
K.P. White
2015 ◽  
Vol 28 (1) ◽  
pp. 73-94
Author(s):  
Christian Clausen ◽  
Wendy Gunn

This paper addresses recent developments within the social shaping perspective, specifically the forward-looking and political dimensions of intervening in processes of innovation. With a focus on the concept of ‘temporary spaces’ as an analytical framework we present a study of a case on participatory innovation concerned with indoor climate practices in the building sector. Based on an analysis of the travel and uptake of narratives derived from fi eld studies in industrial and research environments, we discuss the role of intermediaries such as ethnographic provocations concerning user practices in the staging of these temporary spaces. While the direct uptake of qualitative knowledge on user practice in the engineering worlds of indoor climate is limited, the paper highlights the role of staging temporary spaces and intermediary objects in collaboration with stakeholders as a way of reframing conceptions of indoor climate practices.


2020 ◽  
Author(s):  
W. J. T. Bos ◽  
J.-P. Bertoglio ◽  
L. Gostiaux

Epidemics such as the spreading of the SARS-CoV-2 virus are highly non linear, and therefore difficult to predict. In the present pandemic as time evolves, it appears more and more clearly that a clustered dynamics is a key element of description. This means that the disease rapidly evolves within spatially localized networks, that diffuse and eventually create new clusters. We improve upon the simplest possible compartmental model, the SIR model, by adding an additional compartment associated with the clustered individuals. This sophistication is compatible with more advanced compartmental models and allows, at the lowest level of complexity, to leverage the well-mixedness assumption. The so-obtained SBIR model takes into account the effect of inhomogeneity on epidemic spreading, and compares satisfactorily with results on the pandemic propagation in a number of European countries, during and immediately after lock-down. Especially, the decay exponent of the number of new cases after the first peak of the epidemic is captured without the need to vary the coefficients of the model with time. We show that this decay exponent is directly determined by the diffusion of the ensemble of clustered individuals and can be related to a global reproduction number, that overrides the classical, local reproduction number.


2018 ◽  
Vol 44 (5) ◽  
pp. 424-432 ◽  
Author(s):  
André Nathan Costa ◽  
Felipe Marques da Costa ◽  
Silvia Vidal Campos ◽  
Roberta Karla Salles ◽  
Rodrigo Abensur Athanazio

ABSTRACT The study of the human microbiome-and, more recently, that of the respiratory system-by means of sophisticated molecular biology techniques, has revealed the immense diversity of microbial colonization in humans, in human health, and in various diseases. Apparently, contrary to what has been believed, there can be nonpathogenic colonization of the lungs by microorganisms such as bacteria, fungi, and viruses. Although this physiological lung microbiome presents low colony density, it presents high diversity. However, some pathological conditions lead to a loss of that diversity, with increasing concentrations of some bacterial genera, to the detriment of others. Although we possess qualitative knowledge of the bacteria present in the lungs in different states of health or disease, that knowledge has advanced to an understanding of the interaction of this microbiota with the local and systemic immune systems, through which it modulates the immune response. Given this intrinsic relationship between the microbiota and the lungs, studies have put forth new concepts about the pathophysiological mechanisms of homeostasis in the respiratory system and the potential dysbiosis in some diseases, such as cystic fibrosis, COPD, asthma, and interstitial lung disease. This departure from the paradigm regarding knowledge of the lung microbiota has made it imperative to improve understanding of the role of the microbiome, in order to identify possible therapeutic targets and to develop innovative clinical approaches. Through this new leap of knowledge, the results of preliminary studies could translate to benefits for our patients.


2020 ◽  
Vol 15 (3) ◽  
pp. 408-420
Author(s):  
Siddharth Chandra ◽  
Julia Christensen ◽  
Shimon Likhtman

AbstractThe goal of this article is to demonstrate the value of a global perspective on pandemics for understanding how global pandemics caused by novel viruses can unfold. Using the example of the 1918 influenza pandemic, two factors that were central to the evolving pattern of global pandemic waves, connectivity and seasonality, are explored. Examples of the influences of these factors on pandemic waves in different locations are presented. Viewing the 1918 pandemic through the lens of compartmental models of infectious diseases, our analysis suggests that connectivity played a dominant role in the initial stages. With the passage of time and the progressive infection and consequent immunization of more and more people, however, the role of seasonality increased in importance, ultimately becoming the driving force behind the emergence of future waves of infection. Implications of these observations for pandemics caused by novel viruses such as the ongoing COVID-19 pandemic are discussed.


2004 ◽  
Vol 137 (1) ◽  
pp. 383-395 ◽  
Author(s):  
Fernando Alfredo Lattanzi ◽  
Hans Schnyder ◽  
Barry Thornton

JAMA ◽  
1966 ◽  
Vol 195 (12) ◽  
pp. 1005-1009 ◽  
Author(s):  
D. J. Fernbach
Keyword(s):  

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