Social inequalities and nutritional disparities: the link between obesity and COVID-19.

OBJECTIVE: Cohort studies, clinical audits of patients with COVID-19 in hospital and routine primary care records provided evidence-based insights on the relationship between excess weigh, obesity and COVID-19. The purpose of this umbrella review is to highlight the relationship between nutritional quality and social inequalities related to CDNCD, obesity and SARS-CoV-2 infection. MATERIALS AND METHODS: Only articles published from 2008 to the present were included in the search to show an updated picture of the topic. The search for published studies was conducted in February 2021 in the scientific databases PubMed (MEDLINE). The terms used for the search were "COVID-19", "Obesity", "Disparities", "Nutritional inequalities", "Chronic degenerative non-communicable diseases" and "review" OR "systematic review" OR "meta-analysis" separated by the Boolean operator AND. RESULTS: 1874 reviews were found, but only 99 met the objective. Obese or dysmetabolic patients are those who had a worse course of disease following COVID-19. This data was observed not only for Chinese and Caucasians, but also and above all among Africans, African Americans, Latinos and indigenous people. Plausible mechanisms to explain the association between obesity and COVID-19 outcomes, included the role of excess adipose tissue on respiratory function, metabolic dysfunction, the cardiovascular system, enhanced inflammatory response and impaired response to infection. CONCLUSIONS: Today, chronic non-communicable degenerative diseases (CDNCDs) are responsible for 70% of public health expenditure, affecting 30% of the population (one or more chronic diseases). Unfortunately, given the health emergency due to SARS-CoV-2, infectious diseases are currently more at the center of attention. However, the spread of infectious communicable diseases and CDNCDs is facilitated in situations of social disparity. In fact, in the poorest countries there are the highest rates of malnutrition and there is a greater risk of contracting viral infections, as well as, paradoxically, a risk of comorbidity, due to access to cheaper food and qualitatively poor, with high caloric density.

On a vector space representation in genetic algorithms for sensor scheduling in wireless sensor networks.

Recent works raised the hypothesis that the assignment of a geometry to the decision variable space of a combinatorial problem could be useful both for providing meaningful descriptions of the fitness landscape and for supporting the systematic construction of evolutionary operators (the geometric operators) that make a consistent usage of the space geometric properties in the search for problem optima. This paper introduces some new geometric operators that constitute the realization of searches along the combinatorial space versions of the geometric entities descent directions and subspaces. The new geometric operators are stated in the specific context of the wireless sensor network dynamic coverage and connectivity problem (WSN-DCCP). A genetic algorithm (GA) is developed for the WSN-DCCP using the proposed operators, being compared with a formulation based on integer linear programming (ILP) which is solved with exact methods. That ILP formulation adopts a proxy objective function based on the minimization of energy consumption in the network, in order to approximate the objective of network lifetime maximization, and a greedy approach for dealing with the system's dynamics. To the authors' knowledge, the proposed GA is the first algorithm to outperform the lifetime of networks as synthesized by the ILP formulation, also running in much smaller computational times for large instances.

Late onset Blueberry Muffin Syndrome following congenital rubella.

The authors report a case of congenital rubella in a 7-month-old female infant presenting a Blueberry Muffin Rash. Blueberry Muffin Syndrome is a cutaneous manifestation characterized by widespread maculo papular lesions of a reddish-blue or magenta colour, due to persistent dermal erythropoiesis in patients with congenital viral infections.