Objective: To determine whether the SEIR model, associated to mobility changes parameters, can determine the likelihood of establishing control over an epidemic in a city, state or country. Study design and setting: The critical step in the prediction of COVID-19 by a SEIR model are the values of the basic reproduction number (R0) and the infectious period, in days. R0 and the infectious periods were calculated by mathematical constrained optimization, and used to determine the numerically minimum SEIR model errors in a country, based on COVID-19 data until April 11th. The Community Mobility Reports from Google Maps (<https://www.google.com/covid19/mobility>) provided mobility changes on April 5th compared to the baseline (Jan 3th to Feb 6th). The data was used to measure the non-pharmacological intervention adherence. The impact of each mobility component was calculated by logistic regression models. COVID-19 control was defined by SEIR model R0<1.0 in a country. Results: The ECDC has registered 1,653,204 COVID-19 worldwide on April 11th. Sixteen countries presented 78% of all cases. Of the six Google Maps mobility parameters, the “Stay at home” parameter was the strongest one to control COVID-19 in a country: an increase of 50% in mobility trends for places of residence has a 99% chance of outbreak control. Conclusions: Residential mobility restriction presented itself as the most effective measure. The SEIR model associated with mobility parameters proved to be a useful tool in determining the chance of COVID-19 outbreak control.

Objetivou-se analisar a influência da adição de níveis crescentes de óleo de soja e canola sobre os índices de desempenho e qualidade interna e externa dos ovos de poedeiras comerciais semipesadas da linhagem Bovans Goldline durante cinco períodos de 28 dias. Foram utilizadas 280 aves com 18 semanas de idade, em um delineamento inteiramente casualizado, com sete tratamentos em um esquema fatorial 2 × 3 + 1 (dois tipos de óleo e três níveis de óleo mais um testemunha adicional) com cinco repetições e oito aves por unidade experimental. Os níveis de óleo de soja e de canola não alteraram o consumo de ração, os pesos dos ovos, de albúmen, de gema e de casca, as porcentagens de albúmen, de gema e de casca e a gravidade específica dos ovos. Houve influência significativa da interação tipo × nível de óleo sobre a produção de ovos e a conversão por massa e por dúzia de ovos. Com o aumento do nível de óleo de soja, os resultados obtidos para estas variáveis melhoraram, entretanto, a conversão por massa de ovo piorou com o aumento dos níveis de óleo de canola. A adição de óleo de soja promoveu desempenho melhor que o obtido com óleo de canola.

The objective of this study was to evaluate the influence of soybean and canola oil added in crescent levels on production performance indexes and internal and external egg quality of brown commercial layers of the strain Bovans Goldline during five periods of 28 days. Two hundred and eighty hens with 18 weeks old were distributed in a completely randomized design, with seven diets in a 2 × 3 + 1 factorial arrangement (oil type and oil level, and an additional control), with 5 replicates of 8 hens per experimental unit. The soybean and canola oil levels did not affect the feed consumption; egg, albumen, yolk and shell weights; albumen, yolk and shell percentages, neither the specific gravity. There was an interaction between type and oils levels on egg production and mass conversion and per egg dozen. Better results for those characteristics were obtained as soybean oil increased. However, the egg mass conversion was negatively influenced by increase of canola oil. The addition of soybean oil promoted better performance as compared to canola oil.