The role of animal grazing in the spread of Chagas disease

Acuña-Zegarra, Manuel Adrian; Olmos‐Liceaga, Daniel; Hernández, Juan González

doi:10.1016/j.jtbi.2018.08.025

Cited by 17 publications

(12 citation statements)

References 41 publications

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“…With the advancement of computational tools and software, we can develop a complex mathematical model and analyze it thoroughly in a scientific manner. In the history of literature, we see that many model-based studies have successfully achieved the global dynamics of the corresponding infectious disease (see the references Keeling and Rohani [23] , Wang and Zhao [41] , Buonomo et al [3] , Zhou et al [43] , Jana et al [18,20] , Li et al [29] , Zegarra and Hernandez [42]…”

Section: Introductionmentioning

confidence: 99%

A model based study on the dynamics of COVID-19: Prediction and control

Mandal

Jana

Nandi³

et al. 2020

Chaos, Solitons & Fractals

347

232

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As there is no vaccination and proper medicine for treatment, the recent pandemic caused by COVID-19 has drawn attention to the strategies of quarantine and other governmental measures, like lockdown, media coverage on social isolation, and improvement of public hygiene, etc to control the disease. The mathematical model can help when these intervention measures are the best strategies for disease control as well as how they might affect the disease dynamics. Motivated by this, in this article, we have formulated a mathematical model introducing a quarantine class and governmental intervention measures to mitigate disease transmission. We study a thorough dynamical behavior of the model in terms of the basic reproduction number. Further, we perform the sensitivity analysis of the essential reproduction number and found that reducing the contact of exposed and susceptible humans is the most critical factor in achieving disease control. To lessen the infected individuals as well as to minimize the cost of implementing government control measures, we formulate an optimal control problem, and optimal control is determined. Finally, we forecast a short-term trend of COVID-19 for the three highly affected states, Maharashtra, Delhi, and Tamil Nadu, in India, and it suggests that the first two states need further monitoring of control measures to reduce the contact of exposed and susceptible humans.

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Section: Introductionmentioning

confidence: 99%

A model based study on the dynamics of COVID-19: Prediction and control

Mandal

Jana

Nandi³

et al. 2020

Chaos, Solitons & Fractals

347

232

View full text Add to dashboard Cite

show abstract

“…Both present side effects ranging from allergic reactions, to fever, insomnia, and also gastrointestinal symptoms such as weight loss and nausea [15,16]. Despite efforts to develop an effective and safe therapeutic approach, there are still no effective vaccines [17,18,19]. Because of this, the search for new effective and safe compounds to treat Chagas disease has been the aim of various studies [20].…”

Section: Introductionmentioning

confidence: 99%

Trypanocidal Mechanism of Action and in silico Studies of p-Coumaric Acid Derivatives

Lopes

Castillo

Monteiro

et al. 2019

IJMS

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Trypanosoma species are responsible for chronic and systemic infections in millions of people around the world, compromising life quality, and family and government budgets. This group of diseases is classified as neglected and causes thousands of deaths each year. In the present study, the trypanocidal effect of a set of 12 ester derivatives of the p-coumaric acid was tested. Of the test derivatives, pentyl p-coumarate (7) (5.16 ± 1.28 μM; 61.63 ± 28.59 μM) presented the best respective trypanocidal activities against both epimastigote and trypomastigote forms. Flow cytometry analysis revealed an increase in the percentage of 7-AAD labeled cells, an increase in reactive oxygen species, and a loss of mitochondrial membrane potential; indicating cell death by necrosis. This mechanism was confirmed by scanning electron microscopy, noting the loss of cellular integrity. Molecular docking data indicated that of the chemical compounds tested, compound 7 potentially acts through two mechanisms of action, whether by links with aldo-keto reductases (AKR) or by comprising cruzain (CZ) which is one of the key Trypanosoma cruzi development enzymes. The results indicate that for both enzymes, van der Waals interactions between ligand and receptors favor binding and hydrophobic interactions with the phenolic and aliphatic parts of the ligand. The study demonstrates that p-coumarate derivatives are promising molecules for developing new prototypes with antiprotozoal activity.

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“…In fact, epidemiological models are now widely used as more epidemiologists realize the role that modeling can play in basic understanding of complex factors and policy development. More precisely, as far as infectious diseases are concerned, very recent works have been conducted in the literature characterizing different transmission processes and providing new insights for elimination/control, since these diseases impose a considerable burden on human population ( [3][4][5]). In addition, useful discussions have taken place on the disease spread with space.…”

Section: Introductionmentioning

confidence: 99%

“…where ℎ is the step size. In this paper, we focus on the dynamical behaviors of model (4), which include chaos phenomenon caused by the change of the time step ℎ. The first two equations of the model (4) do not include and the third equation is a linear equation of .…”

Section: Introductionmentioning

confidence: 99%

On the Dynamical Complexity of a Seasonally Forced Discrete SIR Epidemic Model with a Constant Vaccination Strategy

et al. 2018

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In this article, we consider the discretized classical Susceptible-Infected-Recovered (SIR) forced epidemic model to investigate the consequences of the introduction of different transmission rates and the effect of a constant vaccination strategy, providing new numerical and topological insights into the complex dynamics of recurrent diseases. Starting with a constant contact (or transmission) rate, the computation of the spectrum of Lyapunov exponents allows us to identify different chaotic regimes. Studying the evolution of the dynamical variables, a family of unimodal-type iterated maps with a striking biological meaning is detected among those dynamical regimes of the densities of the susceptibles. Using the theory of symbolic dynamics, these iterated maps are characterized based on the computation of an important numerical invariant, the topological entropy. The introduction of a degree (or amplitude) of seasonality, ε, is responsible for inducing complexity into the population dynamics. The resulting dynamical behaviors are studied using some of the previous tools for particular values of the strength of the seasonality forcing, ε. Finally, we carry out a study of the discrete SIR epidemic model under a planned constant vaccination strategy. We examine what effect this vaccination regime will have on the periodic and chaotic dynamics originated by seasonally forced epidemics.

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The role of animal grazing in the spread of Chagas disease

Cited by 17 publications

References 41 publications

A model based study on the dynamics of COVID-19: Prediction and control

A model based study on the dynamics of COVID-19: Prediction and control

Trypanocidal Mechanism of Action and in silico Studies of p-Coumaric Acid Derivatives

On the Dynamical Complexity of a Seasonally Forced Discrete SIR Epidemic Model with a Constant Vaccination Strategy

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