Role of Tourists on Emerging of Dengue Epidemic: Model Approach

2016 ◽  
pp. 1-7
Author(s):  
Klot Patanarapeelet ◽  
Sittisede Polwaing ◽  
Nairat Kanyamee ◽  
Wannapa Panitsupakamon ◽  
Passawan Noppakaew
Keyword(s):  
Epidemic Model ◽  
Dengue Epidemic ◽  
Model Approach

scholarly journals Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yafei Wang ◽  
Erik Brodin ◽  
Kenichiro Nishii ◽  
Hermann B. Frieboes ◽  
Shannon M. Mumenthaler ◽  
...  
Keyword(s):  
Time Scales ◽  
Constitutive Relations ◽  
Elastic Tissue ◽  
Metastatic Progression ◽  
Patient Death ◽  
Metastatic Growth ◽  
Tumor Parenchyma ◽  
Short Time ◽  
Model Approach

AbstractColorectal cancer and other cancers often metastasize to the liver in later stages of the disease, contributing significantly to patient death. While the biomechanical properties of the liver parenchyma (normal liver tissue) are known to affect tumor cell behavior in primary and metastatic tumors, the role of these properties in driving or inhibiting metastatic inception remains poorly understood, as are the longer-term multicellular dynamics. This study adopts a multi-model approach to study the dynamics of tumor-parenchyma biomechanical interactions during metastatic seeding and growth. We employ a detailed poroviscoelastic model of a liver lobule to study how micrometastases disrupt flow and pressure on short time scales. Results from short-time simulations in detailed single hepatic lobules motivate constitutive relations and biological hypotheses for a minimal agent-based model of metastatic growth in centimeter-scale tissue over months-long time scales. After a parameter space investigation, we find that the balance of basic tumor-parenchyma biomechanical interactions on shorter time scales (adhesion, repulsion, and elastic tissue deformation over minutes) and longer time scales (plastic tissue relaxation over hours) can explain a broad range of behaviors of micrometastases, without the need for complex molecular-scale signaling. These interactions may arrest the growth of micrometastases in a dormant state and prevent newly arriving cancer cells from establishing successful metastatic foci. Moreover, the simulations indicate ways in which dormant tumors could “reawaken” after changes in parenchymal tissue mechanical properties, as may arise during aging or following acute liver illness or injury. We conclude that the proposed modeling approach yields insight into the role of tumor-parenchyma biomechanics in promoting liver metastatic growth, and advances the longer term goal of identifying conditions to clinically arrest and reverse the course of late-stage cancer.

scholarly journals Susceptible supply limits the role of climate in the COVID-19 pandemic

2020 ◽  
Author(s):  
Rachel E. Baker ◽  
Wenchang Yang ◽  
Gabriel A. Vecchi ◽  
C. Jessica E. Metcalf ◽  
Bryan T. Grenfell
Keyword(s):  
Epidemic Model ◽  
Preliminary Evidence ◽  
Control Measures ◽  
Effective Control ◽  
High Susceptibility ◽  
Emerging Pathogen ◽  
Geographic Variations ◽  
Summer Temperatures ◽  
Endemic Infections

AbstractPreliminary evidence suggests that climate may modulate the transmission of SARS-CoV-2. Yet it remains unclear whether seasonal and geographic variations in climate can substantially alter the pandemic trajectory, given high susceptibility is a core driver. Here, we use a climate-dependent epidemic model to simulate the SARS-CoV-2 pandemic probing different scenarios of climate-dependence based on known coronavirus biology. We find that while variations in humidity may be important for endemic infections, during the pandemic stage of an emerging pathogen such as SARS-CoV-2 climate may drive only modest changes to pandemic size and duration. Our results suggest that, in the absence of effective control measures, significant cases in the coming months are likely to occur in more humid (warmer) climates, irrespective of the climate-dependence of transmission and that summer temperatures will not substantially limit pandemic growth.

scholarly journals On the role of vector modeling in a minimalistic epidemic model

2019 ◽  
Vol 16 (5) ◽  
pp. 4314-4338 ◽  
Author(s):  
Peter Rashkov ◽  
◽  
Ezio Venturino ◽  
Maira Aguiar ◽  
Nico Stollenwerk ◽  
...  
Keyword(s):  
Epidemic Model ◽  
Vector Modeling

scholarly journals The role of perceived stress and cognitive function on the relationship between neuroticism and depression among the elderly: a structural equation model approach

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Mukda Banjongrewadee ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
Tanyong Pipanmekaporn ◽  
Yodying Punjasawadwong ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Structural Equation Model ◽  
Perceived Stress ◽  
Structural Equation ◽  
The Elderly ◽  
Equation Model ◽  
The Relationship ◽  
Model Approach

Age-structured dengue epidemic model

2014 ◽  
Vol 93 (11) ◽  
pp. 2249-2276
Author(s):  
John M. Cochran ◽  
Yongzhi Xu
Keyword(s):  
Epidemic Model ◽  
Age Structured ◽  
Dengue Epidemic

scholarly journals Towards the contribution of the p38MAPK pathway to the dual role of TGFβ in cancer: A boolean model approach

2019 ◽  
Vol 104 ◽  
pp. 235-240 ◽  
Author(s):  
Veronica V. Rossato ◽  
Daner A. Silveira ◽  
Shantanu Gupta ◽  
José Carlos M. Mombach
Keyword(s):  
Boolean Model ◽  
Dual Role ◽  
P38mapk Pathway ◽  
Model Approach

The Mediating Role of Customer Satisfaction in the Relationship Between Atmospherics on Customer Behaviour: Stimulus Organism Response Model Approach in the Spa Industry of Thailand

2019 ◽  
Vol 16 (11) ◽  
pp. 4738-4747
Author(s):  
Kittisak Jermsittiparsert ◽  
Thanaporn Sriyakul ◽  
Kulkanith Kunathikornkit
Keyword(s):  
Customer Satisfaction ◽  
Theoretical Foundation ◽  
Statistical Tool ◽  
Mediating Role ◽  
Customer Behaviour ◽  
Research Questions ◽  
The Relationship ◽  
Author Knowledge ◽  
Model Approach

The main purpose of the current study is to examine customer satisfaction, atmospheric and customer behaviour using SOR model. In addition to that, the study has examined the mediating role of customer satisfaction in the relationship between Atmospherics on Customer Behaviour. In recent Past, the main focus for the organizations was to identify the factors that can help in enhancing the loyalty of the customers. Additionally, their focus is also on delivering superior services by which they can keep the customers loyal. The study is of the view that the organizationsmake these efforts with desires to keep these customers retain, which will help them in increasing the profits and revenues. However, the current study has filled this gap. However, this study is among the pioneering studies on this issue Employing the survey-based methodology; the SEM-PLS technique is used to test the hypothesized relationships. So, the current study has used SEM-PLS as a statistical tool to answer the research questions raised in this study and research objectives envisaged in the current study. The data is collected from the SPA customers in Thailand. The findings of the study have provided support to the theoretical foundation and the proposed hypothesis of the current study. The current study will be helpful for policymakers and practitioners in understanding the issues work customer satisfaction, atmospheric and customer behaviour using SOR model. In author knowledge, this is among very few pioneering studies on this issue.

Modelling the role of opportunistic diseases in coinfection

2018 ◽  
Vol 13 (3) ◽  
pp. 28
Author(s):  
Marcos Marvá ◽  
Rafael Bravo de la Parra ◽  
Ezio Venturino
Keyword(s):  
Epidemic Model ◽  
Recovery Rate ◽  
Reproduction Number ◽  
Backward Bifurcation ◽  
Treatment Rate ◽  
Opportunistic Disease ◽  
Sis Epidemic Model ◽  
Primary Disease ◽  
Sis Epidemic

In this paper, we formulate a model for evaluating the effects of an opportunistic disease affecting only those individuals already infected by a primary disease. The opportunistic disease act on a faster time scale and it is represented by an SIS epidemic model with frequency-dependent transmission. The primary disease is governed by an SIS epidemic model with density-dependent transmission, and we consider two different recovery cases. The first one assumes a constant recovery rate whereas the second one takes into account limited treatment resources by means of a saturating treatment rate. No demographics is included in these models.Our results indicate that misunderstanding the role of the opportunistic disease may lead to wrong estimates of the overall potential amount of infected individuals. In the case of constant recovery rate, an expression measuring this discrepancy is derived, as well as conditions on the opportunistic disease imposing a coinfection endemic state on a primary disease otherwise tending to disappear. The case of saturating treatment rate adds the phenomenon of backward bifurcation, which fosters the presence of endemic coinfection and greater levels of infected individuals. Nevertheless, there are specific situations where increasing the opportunistic disease basic reproduction number helps to eradicate both diseases.

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