15 research outputs found

    Precursor-derived in-water peracetic acid impacts on broiler performance, gut microbiota and antimicrobial resistance genes

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    Past antimicrobial misuse has led to the spread of antimicrobial resistance amongst pathogens, reportedly a major public health threat. Attempts to reduce the spread of antimicrobial resistant (AMR) bacteria are in place worldwide, among which finding alternatives to antimicrobials have a pivotal role. Such molecules could be used as “green alternatives” to reduce the bacterial load either by targeting specific bacterial groups or more generically, functioning as biocides when delivered in vivo. In this study, the effect of in-water peracetic acid as a broad-spectrum antibiotic alternative for broilers was assessed via hydrolysis of precursors sodium percarbonate and tetraacetylethylenediamine. Six equidistant peracetic acid levels were tested from 0 to 50 ppm using four pens per treatment and 4 birds per pen (i.e., 16 birds per treatment and 96 in total). Peracetic acid was administered daily from d 7 to 14 of age whilst measuring performance parameters and end-point bacterial concentration (qPCR) in crop, jejunum, and ceca, as well as crop 16S sequencing. PAA treatment, especially at 20, 30, and 40 ppm, increased body weight at d 14, and feed intake during PAA exposure compared to control (P < 0.05). PAA decreased bacterial concentration in the crop only (P < 0.05), which was correlated to better performance (P < 0.05). Although no differences in alpha- and beta-diversity were found, it was observed a reduction of Lactobacillus (P < 0.05) and Flectobacillus (P < 0.05) in most treatments compared to control, together with an increased abundance of predicted 4-aminobutanoate degradation (V) pathway. The analysis of the AMR genes did not point towards any systematic differences in gene abundance due to treatment administration. This, together with the rest of our observations could indicate that proximal gut microbiota modulation could result in performance amelioration. Thus, peracetic acid may be a valid antimicrobial alternative that could also positively affect performance

    Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

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    Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks

    The United States COVID-19 Forecast Hub dataset

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    Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

    Habeas Coca: Bolivias Community Coca Control

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    With significant pressure and earmarked funding from the United States and other demand-side countries, the Andean countries of Bolivia, Colombia, and Peru have struggled for decades with the question of how to limit the growth of coca and the export of cocaine and comply with UN drug conventions. Tactics such as forced eradication, criminalization, and marginalization of coca farmers have not only failed to significantly reduce cocaine production, but have had disastrous consequences for the economies and communities in the region.In 2004 the Bolivian government, despite international pressure to maintain the status quo, gathered the political momentum to try something different. Bolivia established the cato accord that allowed farmers to legally grow a limited and regulated quantity of coca leaves, a mainstay of Andean life for 4,000 years.The Bolivian model's simple concept is supported at the local, national, regional, and international levels by a complex network of growers, unions, organizations, government agencies, and police and military forces.Habeas Coca: Bolivia's Community Coca Control explains how the community control system works and shows its effectiveness in decreasing violence, increasing citizen engagement, limiting corruption, stabilizing and diversifying local economies, and reducing coca cultivation. It also explores the areas where the program and its evaluation can be improved.Countries where legal and illegal drug markets coexist, or can be developed, can benefit greatly by exploring and adapting the community control model to their unique circumstances. And, by better understanding the possibilities and constraints placed on those on the supply-side, countries on the demand-side of the global drug market will learn from Habeas Coca how critical their own policies, domestic and foreign, are to the success of limiting cocaine supply.

    Habeas Coca: Bolivias Community Coca Control: Spanish

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    With significant pressure and earmarked funding from the United States and other demand-side countries, the Andean countries of Bolivia, Colombia, and Peru have struggled for decades with the question of how to limit the growth of coca and the export of cocaine and comply with UN drug conventions. Tactics such as forced eradication, criminalization, and marginalization of coca farmers have not only failed to significantly reduce cocaine production, but have had disastrous consequences for the economies and communities in the region.In 2004 the Bolivian government, despite international pressure to maintain the status quo, gathered the political momentum to try something different. Bolivia established the cato accord that allowed farmers to legally grow a limited and regulated quantity of coca leaves, a mainstay of Andean life for 4,000 years.The Bolivian model's simple concept is supported at the local, national, regional, and international levels by a complex network of growers, unions, organizations, government agencies, and police and military forces.Habeas Coca: Bolivia's Community Coca Control explains how the community control system works and shows its effectiveness in decreasing violence, increasing citizen engagement, limiting corruption, stabilizing and diversifying local economies, and reducing coca cultivation. It also explores the areas where the program and its evaluation can be improved.Countries where legal and illegal drug markets coexist, or can be developed, can benefit greatly by exploring and adapting the community control model to their unique circumstances. And, by better understanding the possibilities and constraints placed on those on the supply-side, countries on the demand-side of the global drug market will learn from Habeas Coca how critical their own policies, domestic and foreign, are to the success of limiting cocaine su
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