2016
DOI: 10.1515/math-2016-0053
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Global stability analysis and control of leptospirosis

Abstract: Abstract:The aim of this paper is to investigate the effectiveness and cost-effectiveness of leptospirosis control measures, preventive vaccination and treatment of infective humans that may curtail the disease transmission. For this, a mathematical model for the transmission dynamics of the disease that includes preventive, vaccination, treatment of infective vectors and humans control measures are considered. Firstly, the constant control parameters' case is analyzed, also calculate the basic reproduction nu… Show more

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Cited by 26 publications
(16 citation statements)
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References 27 publications
(29 reference statements)
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“…The reproductive rate combines the biology of infections with the social and behaviour of the factors influencing contact rate. The basic reproductive rate refers to the number of secondary cases one infectious individual will produce in a completely susceptible population [14] [15]. This is a threshold parameter that governs the spread of a disease.…”
Section: The Basic Reproductive Numbermentioning
confidence: 99%
“…The reproductive rate combines the biology of infections with the social and behaviour of the factors influencing contact rate. The basic reproductive rate refers to the number of secondary cases one infectious individual will produce in a completely susceptible population [14] [15]. This is a threshold parameter that governs the spread of a disease.…”
Section: The Basic Reproductive Numbermentioning
confidence: 99%
“…The objective function (3) involved in minimizing of the number of infected chickens as well as the cost for applying control strategies. In this paper, a quadratic function which satisfies the optimality conditions is considered for measuring the control cost as applied by [14][15][16][18][19][20]21,25]. Then the optimal controls u * 1 (t), u * 2 (t) and u * 3 (t) exists such that…”
Section: Model Formulationmentioning
confidence: 99%
“…After that, the first mathematical model of infectious disease was formulated in 1927 by Mckendrick and Karmark. Following that, this area got considerable attention and lots of models, which describe numerous physical or biological processes, were formed; the reader may refer to [1][2][3][4][5] for more information about some models. By using mathematical models for the description of infectious diseases, we can get information about the transmission of a disease in a community, its mortality rates, and how to control it.…”
Section: Introductionmentioning
confidence: 99%