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Case study vs journal article

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Cite This Article. We evaluated effectiveness of personal protective measures against severe acute respiratory disease coronavirus 2 SARS-CoV-2 infection. Wearing masks all the time during contact was independently associated with lower risk for SARS-CoV-2 infection compared with not wearing masks; wearing a mask sometimes during contact did not lower infection risk. We found the type of mask worn was not independently associated with infection and that contacts who always wore masks were more likely to practice social distancing. Our findings support consistent wearing of masks, handwashing, and social distancing to protect against COVID
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Difference between Journal, Paper and Thesis

Case study vs journal article
Case study vs journal article
Case study vs journal article
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The CASE Association: A Supportive Network of Engaged Colleagues

In this article, I present a simple classification scheme for epidemiological study designs, a topic about which there has been considerable debate over several decades. I will argue that when the individual is the unit of analysis and the disease outcome under study is dichotomous, then epidemiological study designs can best be classified according to two criteria: i the type of outcome under study incidence or prevalence and ii whether there is sampling on the basis of the outcome. This classification system has previously been proposed by Greenland and Morgenstern 1 and Morgenstern and Thomas , 2 all of whom followed previous authors 3 , 4 in rejecting directionality i. Once this two-dimensional classification system has been adopted, then there are only four basic study designs Table 1 : 2 , 5 , 6 i incidence studies; ii incidence case—control studies; iii prevalence studies; and iv prevalence case—control studies Rothman et al. In this article, I will briefly illustrate these four different study designs for dichotomous outcomes; I then briefly consider the extension of this classification to include studies with continuous exposure or outcome measures and I briefly mention other possible axes of classification. Once this distinction has been drawn, then the different epidemiological study designs differ primarily in the manner in which information is drawn from the source population and risk period. Incidence studies ideally measure exposures, confounders and outcome times of all population members.
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Use of urinary naloxone levels in a single provider practice: a case study

Metrics details. We aim to explore risk factors associated with mortality in COVID patients and assess the use of D-dimer as a biomarker for disease severity and clinical outcome. Univariable and multivariable logistic regression methods were used to explore risk factors associated with in-hospital mortality. Correlations of D-dimer upon admission with disease severity and in-hospital mortality were analyzed.
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