2019
DOI: 10.1155/2019/8465747
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Parameter Estimation and Sensitivity Analysis of Dysentery Diarrhea Epidemic Model

Abstract: In this paper, dysentery diarrhea deterministic compartmental model is proposed. The local and global stability of the disease-free equilibrium is obtained using the stability theory of differential equations. Numerical simulation of the system shows that the backward bifurcation of the endemic equilibrium exists for R0>1. The system is formulated as a standard nonlinear least squares problem to estimate the parameters. The estimated reproduction number, based on the dysentery diarrhea disease data for Ethi… Show more

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Cited by 27 publications
(18 citation statements)
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References 38 publications
(46 reference statements)
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“…Knowledge regarding epidemiological characteristics and parameters of the infectious diseases such as, incubation period (time from exposure to the agent until the first symptoms develop), serial interval (duration between symptom onset of a primary case and symptom onset of its secondary cases), basic reproduction number (R 0 ) (the transmission potential of a disease) and other epidemiologic parameters is important for modelling and estimation of epidemic trends and also implementation and evaluation of preventive procedures (8)(9)(10)(11).…”
Section: Introductionmentioning
confidence: 99%
“…Knowledge regarding epidemiological characteristics and parameters of the infectious diseases such as, incubation period (time from exposure to the agent until the first symptoms develop), serial interval (duration between symptom onset of a primary case and symptom onset of its secondary cases), basic reproduction number (R 0 ) (the transmission potential of a disease) and other epidemiologic parameters is important for modelling and estimation of epidemic trends and also implementation and evaluation of preventive procedures (8)(9)(10)(11).…”
Section: Introductionmentioning
confidence: 99%
“…Several scholars have studied shigellosis by mathematical models with the main focus of understanding its transmission dynamics (e.g., see [7][8][9][10][11]). Motivated by the work of Edward et al [11] who studied shigellosis by examining the role played by carriers in its transmission dynamics, we apply optimal control theory to study how the optimal control strategies could be designed to end this disease.…”
Section: Introductionmentioning
confidence: 99%
“…Several scholars have studied Shigellosis in different ways including developing mathematical models (e.g., see [16][17][18][19]). Tien and Earn [16] developed a waterborne pathogen model termed as Susceptible-Infectious-Recovered-Water (SIRW); the model incorporated a dual transmission pathway with bilinear incidence rates employed for both the environment-to-human and humanto-human infection routes.…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al [18] developed a Susceptible-Exposed-Asymptomatic-Infectious-Recovered-Water (SEARW) model that included a water compartment. Berhe et al [19] developed an SIRB model that included a water compartment, but the model did not capture the role played by carriers and exposed individuals in Shigellosis transmission. Moreover, the model did not capture detection as an intervention in the study.…”
Section: Introductionmentioning
confidence: 99%
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