Routine Laboratory Testing Data for Surveillance of Rotavirus Hospitalizations to Evaluate the Impact of Vaccination

2007 ◽  
Vol 26 (10) ◽  
pp. 914-919 ◽  
Author(s):  
Manish M. Patel ◽  
Jacqueline E. Tate ◽  
Rangaraj Selvarangan ◽  
Irini Daskalaki ◽  
Mary Anne Jackson ◽  
...  
2009 ◽  
Vol 14 (20) ◽  
Author(s):  
C J Atchison ◽  
B A Lopman ◽  
C J Harris ◽  
C C Tam ◽  
M Iturriza Gómara ◽  
...  

Two rotavirus vaccines have recently been licensed in Europe. Rotavirus surveillance data in many European countries are based on reports of laboratory-confirmed rotavirus infections. If surveillance data based on routine laboratory testing data are to be used to evaluate the impact of vaccination programmes, it is important to determine how the data are influenced by differences in testing practices, and how these practices are likely to affect the ability of the surveillance data to represent trends in rotavirus disease in the community. We conducted a survey of laboratory testing polices for rotavirus gastroenteritis in England and Wales in 2008. 60% (94/156) of laboratories responded to the survey. 91% of reporting laboratories offered routine testing for rotavirus all year round and 89% of laboratories offered routine rotavirus testing of all stool specimens from children under the age of five years. In 96% of laboratories, rotavirus detection was presently done either by rapid immunochromatographic tests or by enzyme-linked immunosorbent assay. Currently, rotavirus testing policies among laboratories in England and Wales are relatively homogenous. Therefore, surveillance based on laboratory testing data is likely to be representative of rotavirus disease trends in the community in the most frequently affected age groups (children under the age of five years) and could be used to help determine the impact of a rotavirus vaccine.


Author(s):  
Walid Alam

Background: Despite the evidence and guidelines recommending otherwise, routine testing remains pervasive in the management of patients presenting to the Emergency Department (ED) for behavioral complaints, under the guise of medical clearance (MC). The aim of this review is to highlight the evidence available concerning routine laboratory testing in psychiatry patients presenting to the ED, underline available guidelines, list possible reasons for over-testing, and propose a possible approach based on all the evidence and recommendations. Methods: Electronic database searches were carried out in Medline/PubMed and Google Scholar with the period set from January 1, 1990 to March 1, 2021. The search process was focused on studies where MC was evaluated in the management of patients presenting for psychiatric complaints to the ED. The references listed in each identified article were also screened and manually searched. Results: 14 relevant studies were found with the majority evaluating the impact of routine laboratory testing on the management and disposition of adults in the ED presenting for an acute psychiatric condition. Two studies investigated the use of a screening tool to rule out the presence of acute medical illness. Conclusion: While ED physicians are faced with many challenges such as litigation and fear of diagnostic uncertainty, few solutions have been proposed. A suggested approach relies on history taking, physical examination, and assessment of mentation to evaluate for the presence of an organic etiology requiring further testing. Adequate communication between the ED physician and psychiatrist, along with shared decision-making are also key to optimizing care.


Author(s):  
Kami D Kies ◽  
Amber S Thomas ◽  
Matthew J Binnicker ◽  
Kelli L Bashynski ◽  
Robin Patel

Abstract Enteroviral meningitis is seasonal, typically exhibiting a rise in prevalence in late summer/early fall. Based on clinical microbiology laboratory testing data of cerebrospinal fluid, the expected August/September/October peak in enteroviral meningitis did not occur in 2020, possibly related to COVID-19 mitigation strategies.


Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 110 ◽  
Author(s):  
Terry Lingze Meng ◽  
Matloob Khushi

Recently there has been an exponential increase in the use of artificial intelligence for trading in financial markets such as stock and forex. Reinforcement learning has become of particular interest to financial traders ever since the program AlphaGo defeated the strongest human contemporary Go board game player Lee Sedol in 2016. We systematically reviewed all recent stock/forex prediction or trading articles that used reinforcement learning as their primary machine learning method. All reviewed articles had some unrealistic assumptions such as no transaction costs, no liquidity issues and no bid or ask spread issues. Transaction costs had significant impacts on the profitability of the reinforcement learning algorithms compared with the baseline algorithms tested. Despite showing statistically significant profitability when reinforcement learning was used in comparison with baseline models in many studies, some showed no meaningful level of profitability, in particular with large changes in the price pattern between the system training and testing data. Furthermore, few performance comparisons between reinforcement learning and other sophisticated machine/deep learning models were provided. The impact of transaction costs, including the bid/ask spread on profitability has also been assessed. In conclusion, reinforcement learning in stock/forex trading is still in its early development and further research is needed to make it a reliable method in this domain.


2017 ◽  
Vol 9 (1) ◽  
pp. 1-8 ◽  
Author(s):  
András Mihály Boros ◽  
Péter Perge ◽  
Klaudia Vivien Nagy ◽  
Astrid Apor ◽  
Zsolt Bagyura ◽  
...  

2011 ◽  
Vol 107 (3) ◽  
pp. 239-243 ◽  
Author(s):  
James A. Tarbox ◽  
Ravi C. Gutta ◽  
Cristine Radojicic ◽  
David M. Lang

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