Sero-Epidemiology of Rotavirus Gastroenteritis in Children in Ilorin, Kwara State

Rotavirus is responsible for the most severe dehydrating diarrhea among young children due to gastroenteritis. In this study, we aimed to ascertain the occurrence of childhood gastroenteritis caused by Rotavirus among infants and young children who are younger than 5 years of age in Ilorin, Kwara State and determined the risk factors posing the challenges to be susceptible to diarrhea associated with rotavirus in Ilorin, Kwara State. Diarrhea stool samples were collected from children who passed watery stools, who met predetermined inclusion criteria and who presented at the study hospitals Viz: General Hospital and Specialist Hospital Alagbado and Children Specialist Hospital, Igboro. All within Kwara State either on outpatient care basis or those admitted into the pediatric ward. Sample of stool habouring rotavirus antigens was detected by commercial Rotavirus IgM ELISA kit to target recent infections among the participants. Out of three hundred (300) stool samples that were collected from children suffering from acute diarrhea, a total number of eighty-six (86) were found to be Rotavirus positive (28.7 %) and two hundred and fourteen (214) were found to be negative (71.3%). The age group 3-5 years, showed the highest prevalence rate which is in line with some research findings that attribute this age range with certain feeding habits and cultural practices, predisposing them to gastroenteritis. It is therefore advised that parents and guardian alike should ensure that special care is given to children, with emphasis on their feeding habits and sanitation

≤ ξ ≤ 1,

Under 2-D cylindrical Lagrange coordinates system, multigroup time-dependent neutron and photon coupled transport equation can be defined by where 1 ∂φ g µ ∂ ∂φ g 1 ∂ + ( rφg) + ξ − ( ζφ g) + B( φg) + σ trgφ g = Qg v ∂t r ∂r ∂x r ∂ω g φg = φg ( x, r, ξ, ω, t), ( x, r) ∈ Ωxr, −

Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model

In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model