Sensitivity Analysis for Uncertainty Quantification in Mathematical Models

Author(s):  
Leon Arriola ◽  
James M. Hyman
2020 ◽  
Vol 53 (2) ◽  
pp. 7268-7273
Author(s):  
Georgios Makrygiorgos ◽  
Soumyajit Sen Gupta ◽  
Amor A. Menezes ◽  
Ali Mesbah

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sudarat Chadsuthi ◽  
Karine Chalvet-Monfray ◽  
Anuwat Wiratsudakul ◽  
Charin Modchang

AbstractThe epidemic of leptospirosis in humans occurs annually in Thailand. In this study, we have developed mathematical models to investigate transmission dynamics between humans, animals, and a contaminated environment. We compared different leptospire transmission models involving flooding and weather conditions, shedding and multiplication rate in a contaminated environment. We found that the model in which the transmission rate depends on both flooding and temperature, best-fits the reported human data on leptospirosis in Thailand. Our results indicate that flooding strongly contributes to disease transmission, where a high degree of flooding leads to a higher number of infected individuals. Sensitivity analysis showed that the transmission rate of leptospires from a contaminated environment was the most important parameter for the total number of human cases. Our results suggest that public education should target people who work in contaminated environments to prevent Leptospira infections.


2021 ◽  
Author(s):  
Michael Prime ◽  
Gavin Jones ◽  
Vicente Romero ◽  
Justin Winokur ◽  
Benjamin Schroeder

2019 ◽  
Author(s):  
Laura Painton Swiler ◽  
Jon C. Helton ◽  
Eduardo Basurto ◽  
Dusty Marie Brooks ◽  
Paul Mariner ◽  
...  

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