Affect detection literature review

Adverse drug reactions ADRs represent an important risk for patients and have a significant economic impact on health systems. ADRs are the fifth most common cause of hospital death, with a burden estimated at , deaths per year in the EU. Because of this strong impact in public health, regulatory authorities RAs worldwide are implementing new pharmacovigilance legislation to promote and protect public health by reducing the burden of ADRs through the detection of safety signals. Although, traditionally, signal detection activities have mainly been performed based on spontaneous reporting from healthcare professionals and national health RAs, the new pharmacovigilance legislation underlines the relevance of other sources of information such as scientific literature for the evaluation of the benefit—risk balance of a certain product. This review aims to highlight the relevance of periodic scientific literature screening in the safety signal detection process. The authors present four practical examples where a safety signal that was detected from a literature report had an impact on the lifecycle of a drug.
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Coronavirus disease 2019 (COVID-19): A literature review

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Poverty in Africa: Literature Review & Primary Research Report - Diseases Caused By Poverty

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Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

Writing a research paper poses challenges in gathering literature and providing evidence for making your paper stronger. Drawing upon previously established ideas and values and adding pertinent information in your paper are necessary steps, but these need to be done with caution without falling into the trap of plagiarism. In order to understand how to avoid plagiarism, it is important to know the different types of plagiarism that exist.
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Detection in studies of species abundance and distribution is often imperfect. Assuming perfect detection introduces bias into estimation that can weaken inference upon which understanding and policy are based. Despite availability of numerous methods designed to address this assumption, many refereed papers in ecology fail to account for non-detection error. We conducted a quantitative literature review of ecological articles to measure the degree to which studies of different taxa, at various scales, and over time have accounted for imperfect detection. The probability that an article incorporated imperfect detection increased with time and varied among taxa studied; studies of vertebrates were more likely to incorporate imperfect detection.
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