[Investigation of Leishmania infantum Seroprevalance and Leishmaniasis Knowledge Level in Northern Cyprus]. / Kuzey Kibris'ta Leishmania infantum Seroprevalansinin ve Leysmanyaz Bilgi Düzeyinin Arastirilmasi.

Leishmaniasis is an infectious disease caused by Leishmania parasites, transmitted by sand flies and common in the Mediterranean region. Cyprus is located in the east of Mediterranean Sea and is considered endemic for Leishmaniasis. In our study, it was aimed to investigate Leishmania infantum IgG seropositivity in healthy volunteers living in different regions of Northern Cyprus and to determine the risk factors for Leishmaniasis and measure the level of public knowledge about the disease. A total of 300 healthy volunteers (farmer/livestock: 100, hunter: 100, control group: 100) from five different regions of Northern Cyprus were included in the study, including Nicosia, Kyrenia, Famagusta, Morphou/Lefka, and Trikomo/Karpasia. The participants' blood was drawn and prepared questionnaire forms were filled out. Collected blood was centrifuged and the serum samples were separated and stored at -80ºC until the day of the test. All serum samples were tested for L.infantum IgG specific antibodies using the ELISA method (NovaTec, Immundiagnostica GmbH, Germany) in accordance with the manufacturer's recommendations. L.infantum IgG positivity was found to be 4.7% (14/300). The mean ages of L.infantum IgG positive and negative participants were 43.64 ± 11.74 and 42.17 ± 14.32 respectively. There was no statistically significant relationship between seropositivity and age (p= 0.706). The positivity rate was found to be significantly higher in hunters and farmers/livestocks compared with the control group (p= 0.020). In addition, it was determined that having a dog and the number of dogs owned were significantly associated with Leishmaniasis (p= 0.017, p= 0.020, respectively). On the other hand, 77% (231/300) of the volunteers included in our study had no prior knowledge about the disease. When compared to the other study groups, it was determined that hunters had the most knowledge of the Leishmaniasis infection (p= 0.001). Moreover, it was observed that as the education level of the participants increased, the level of knowledge about the disease also increased in parallel (p≤ 0.001). According to the results in our study, L.infantum IgG seropositivity was undeniably high in the healthy population living in Northern Cyprus. It is clear that outdoor activities such as hunting or dealing with farming/livestock are risk factors for the disease. In this context, it is apparent that more clear results will be obtained about the prevalence of the disease with the conduction of large-scale epidemiological studies. As a result, we concluded that especially risk groups should be informed about the current status of Leishmaniasis infection and necessary precautions should be taken.

Fractional order model of MRSA bacterial infection with real data fitting: Computational Analysis and Modeling.

Bacterial infections in the health-care sector and social environments have been linked to the Methicillin-Resistant Staphylococcus aureus (MRSA) infection, a type of bacteria that has remained an international health risk since the 1960s. From mild colonization to a deadly invasive disease with an elevated mortality rate, the illness can present in many different forms. A fractional-order dynamic model of MRSA infection developed using real data for computational and modeling analysis on the north side of Cyprus is presented in this paper. Initially, we tested that the suggested model had a positively invariant region, bounded solutions, and uniqueness for the biological feasibility of the model. We study the equilibria of the model and assess the expression for the most significant threshold parameter, called the basic reproduction number (ℛ0). The reproductive number's parameters are also subjected to sensitivity analysis through mathematical methods and simulations. Additionally, utilizing the power law kernel and the fixed-point approach, the existence, uniqueness, and generalized Ulam-Hyers-Rassias stability are presented. Chaos Control was used to regulate the linear responses approach to bring the system to stabilize according to its points of equilibrium, taking into account a fractional-order system with a managed design where solutions are bound in the feasible domain. Finally, numerical simulations demonstrating the effects of different parameters on MRSA infection are used to investigate the impact of the fractional operator on the generalized form of the power law kernel through a two-step Newton polynomial method. The impact of fractional orders is emphasized in the study so that the numerical solutions support the importance of these orders on MRSA infection. With the application of fractional order, the significance of cognizant antibiotic usage for MRSA infection is verified.

Dynamical analysis of methicillin-resistant Staphylococcus aureus infection in North Cyprus with optimal control: prevalence and awareness.

The number of Methicillin-resistant Staphylococcus aureus (MRSA) cases in communities and hospitals is on the rise worldwide. In this work, a nonlinear deterministic model for the dynamics of MRSA infection in society was developed to visualize the significance of awareness in interventions that could be applied in the prevention of transmission with and without optimal control. Positivity and uniqueness were verified for the proposed corruption model to identify the level of resolution of infection factors in society. Furthermore, how various parameters affect the reproductive number R 0 and sensitivity analysis of the proposed model was explored through mathematical techniques and figures. The global stability of model equilibria analysis was established by using Lyapunov functions with the first derivative test. A total of seven years of data gathered from a private hospital consisting of inpatients and outpatients of MRSA were used in this model for numerical simulations and for observing the dynamics of infection by using a non-standard finite difference (NSFD) scheme. When optimal control was applied as a second model, it was determined that increasing awareness of hand hygiene and wearing a mask were the key controlling measures to prevent the spread of community-acquired MRSA (CA-MRSA) and hospital-acquired MRSA (HA-MRSA). Lastly, it was concluded that both CA-MRSA and HA-MRSA cases are on the rise in the community, and increasing awareness concerning transmission is extremely significant in preventing further spread.