The impact of the covid-19 pandemic on child-youth health: a cross- sectional study

Objective: To analyze the impact of the COVID-19 pandemic on children's health. Methodology: Study transverse, exploratory and descriptive of character quantitative / qualitative carried through to one questionnaire developed by Google Forms and available on social media with questions about the pandemic impact on the health of children and adolescents. Results and discussion: Of the 200 caregivers who participated, 94.5% were female and 92% mothers, most were married (87.5%) and older than 40 years (61.5%). As for children and adolescents, most were between 8 and 12 years old (38.5%), 50% were female, 78% did not have comorbidities that favored the severity of COVID-19. In relation to the context of the pandemic, 75.5 % reported having one dialogue honest with the child / adolescent about the lived situation and the main feelings were reported: worry, fear, sadness, anxiety, irritability and missed the routine. In relation to behavioral disorders of children and adolescents since the beginning of the pandemic, 73% of the charge stated observe differences in the main was the increase in time in the home (77%). Additionally, other behavioral changes identified in the QUESTIONNAIRE were very relevant as difficulty sleeping (43%) decline in school performance (42 .5 %) and agitation / irritation (42%). With regard to the practice of physical activity, 63% of children practiced before the pandemic, but only 27.7 % continues, besides that sun bath also was taken, because only 43.2% are taking regularly due to COVID 19 SOPs.. conclusion:  we can see that the pandemic has affected directly the behavior of children and adolescents, being necessary attention geared to families with respect to physical and mental health, as well as the expansion of the debate on the theme. Keywords: coronavirus, COVID-19, Pandemic, Family health, Pediatric Health

On Center, Periphery and Average Eccentricity for the Convex Polytopes

A vertex v is a peripheral vertex in G if its eccentricity is equal to its diameter, and periphery P ( G ) is a subgraph of G induced by its peripheral vertices. Further, a vertex v in G is a central vertex if e ( v ) = r a d ( G ) , and the subgraph of G induced by its central vertices is called center C ( G ) of G . Average eccentricity is the sum of eccentricities of all of the vertices in a graph divided by the total number of vertices, i.e., a v e c ( G ) = { 1 n ∑ e G ( u ) ; u ∈ V ( G ) } . If every vertex in G is central vertex, then C ( G ) = G , and hence, G is self-centered. In this report, we find the center, periphery and average eccentricity for the convex polytopes

Distance Measurements Related to Cartesian Product of Cycles

Graph theory and its wide applications in natural sciences and social sciences open a new era of research. Making the graph of computer networks and analyzing it with aid of graph theory are extensively studied and researched in the literature. An important discussion is based on distance between two nodes in a network which may include closeness of objects, centrality of objects, average path length between objects, and vertex eccentricity. For example, (1) disease transmission networks: closeness and centrality of objects are used to measure vulnerability to particular disease and its infectivity; (2) routing networks: eccentricity of objects is used to find vertices which form the periphery objects of the network. In this manuscript, we have discussed distance measurements including center, periphery, and average eccentricity for the Cartesian product of two cycles. The results are obtained using the definitions of eccentricity, radius, and diameter of a graph, and all possible cases (for different parity of length of cycles) have been proved