Suchergebnisse

Objective: To establish and estimate prevalence of contagious bovine pleuropneumonia (CBPP), using slaughter slabante-mortem examination and postmortem lesions as a diagnostic tool in slaughtered cattle in Chavuma, Northwestern province, Zambia. Methods: Between August and December 2020, 364 cattle were slaughtered at six slaughter slabs in Chavuma district (Good Hope, Likola Levy, Supplies of Chavuma Boarding school, Formula Butchery, Grace of God, Never Lose Hope).The affected cattle had noisy breathing, nasal discharge and coughing. In addition, to yellow fluid in the chest cavity and lungs coated in yellowish substance lung lesions. This was according to the ante-mortem and postmortem reports. Results: Hundred and five (28.8%) of the slaughtered cattle had gross lung lesions suggestive of CBPP. When compared to other slaughter slabs, the point prevalence of positive CBPP postmortem lesions was higher at Grace of God slaughter slab (P<0.05). Labored breathing (78%), dry cough (70%), and mucopurulent nasal discharge were the most common pneumonic signs (60%). The gross characteristic of CBPP postmortem lesions included the following; L/lung (45%), R/lung (28%), Both/lung (30%), P/adhesion (90%), L/pinkish (65%), Sequestra (20%) and Yellow fluid (60%). However, the frequently encountered was P/adhesion (90%), and pinkish lung (65%). Conclusions: CBPP remains an issue in Chavuma district, and possibly Northwestern province as a whole, according to the findings of this study. Furthermore, since movement control is difficult in Chavuma district and herds are not restricted, testing and slaughter, even when combined with vaccination, may not be sufficient to control the disease. In the fight against disease, communities play a crucial role. To be effective, any government CBPP control systems must be thoroughly communicated to livestock farmers so that they are fully engaged, recognize the long-term benefits, and are willing to comply. Apart from that, a continued monitoring program is recommended, which ...

AbstractGrassroot Soccer designed a curriculum and sport‐based teaching model to build resiliency, targeting boys and girls in Lusaka, Zambia, and Johannesburg, South Africa, where most children are reminded daily of the devastation caused by AIDS and where many face chronic and acute hardship. The activities that were created were designed to resonate with youths' interests in sport while teaching boys and girls between ten and eighteen years of age skills to build resiliency and prevent infection of HIV.

The Parkinson's Disease Digital Biomarker Challenge was funded by the Robert Wood Johnson Foundation and the Michael J. Fox Foundation. Data were contributed by users of the Parkinson mPower mobile application as part of the mPower study developed by Sage Bionetworks and described in Synapse [https://doi.org/10.7303/syn4993293].Resources and support for J.S. were provided by Elder Research, an AI and Data Science consulting agency. M.D. was supported by NIH NIGMS Bioinformatics Training Grant (5T32GM070449-12). J.F.D. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research. L.L.E. reports grants from the European Research Council ERC (677943), European Union's Horizon 2020 research and innovation programme (675395), Academy of Finland (296801, 304995, 310561 and 314443), and Sigrid Juselius Foundation, during the conduct of the study. EG1 acknowledges the funding support by the Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease (I1R-BIC-PFN-15NCER), and as part of the grant project PD-Strat (INTER/11651464). M.K.J. was supported by Alfred Kordelin Foundation. J.J. is supported by UNSW Sydney Electronic Practice Based Research Network (ePBRN) and Translational Cancer Research Network (TCRN) programs. D.L. is supported in part by the University of Rochester CTSA award number UL1 TR002001 from the National Center for Advancing Translational Sciences of the National Institutes of Health. PS2 is supported by the Swiss National Science Foundation (SNSF) project No. 167302 within the National Research Program (NRP) 75 "Big Data". P.S. is an affiliated PhD fellow at the Max Planck ETH Center for Learning Systems. Y.G. is supported by NIH R35GM133346, NSF#1452656, Michael J. Fox Foundation #17373, American Parkinson Disease Association AWD007950. Cohen Veterans Bioscience contributed financial support to Early Signal Foundation's costs (U.R., C.E., and D.B.). ; Consumer wearables and sensors are a rich source of data about patients' daily disease and symptom burden, particularly in the case of movement disorders like Parkinson's disease (PD). However, interpreting these complex data into so-called digital biomarkers requires complicated analytical approaches, and validating these biomarkers requires sufficient data and unbiased evaluation methods. Here we describe the use of crowdsourcing to specifically evaluate and benchmark features derived from accelerometer and gyroscope data in two different datasets to predict the presence of PD and severity of three PD symptoms: tremor, dyskinesia, and bradykinesia. Forty teams from around the world submitted features, and achieved drastically improved predictive performance for PD status (best AUROC = 0.87), as well as tremor- (best AUPR = 0.75), dyskinesia- (best AUPR = 0.48) and bradykinesia-severity (best AUPR = 0.95). ; Robert Wood Johnson Foundation (RWJF) Michael J. Fox Foundation NIH NIGMS Bioinformatics Training Grant 5T32GM070449-12 Canadian Institutes of Health Research (CIHR) European Research Council (ERC) European Commission 677943 European Union's Horizon 2020 research and innovation programme 675395 Academy of Finland 296801 304995 310561 314443 Sigrid Juselius Foundation Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease I1R-BIC-PFN-15NCER project PD-Strat INTER/11651464 Alfred Kordelin Foundation UNSW Sydney Electronic Practice Based Research Network (ePBRN) program UNSW Translational Cancer Research Network (TCRN) program United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Center for Advancing Translational Sciences (NCATS) UL1 TR002001 Swiss National Science Foundation (SNSF) 167302 United States Department of Health & Human Services National Institutes of Health (NIH) - USA R35GM133346 National Science Foundation (NSF) 1452656 Michael J. Fox Foundation 17373 American Parkinson Disease Association AWD007950 Cohen Veterans Bioscience