Assessment of Quality and Readability in the Observational COVID Studies from ELSEVIER Database: Global Literature on Coronavirus Disease 2020 -2021

EasyChair Preprint 7108

Abstract

COVID19 has had a huge impact on worldwide health from its beginning, the new disease comes with new researches and literature, so it is highly important to know their quality and readability.

The panoramic view of a new disease is given at first by the observational type studies, that’s why the aim of this study is to determine the percentage of accomplishment of each quality aspect, and determine the text readability from a well-known health dataset like ELSEVIER. We measured the quality of the ELSEVIER COVID19 observational articles by scoring its different characteristics (clarity of aims, relevance, sources, originality). Also, to measure their readability: the Flesch Kincaid reading ease tool was used.

The results showed that the measured ELSEVIER COVID 19 observational articles have a 4.5 quality score points, achieving a 90% of research quality in total. The mean Readability Score was 34.31, indicating a hard legibility, that is expected for scientific articles.

Keyphrases: Observational COVID19 studies, Quality Score, evaluation, readability, scientific papers

@booklet{EasyChair:7108,
  author    = {Dairamise Rodas and Otylia Marion Nowicka and Mohammed Alhamadani and Aakash Maroti},
  title     = {Assessment of Quality and Readability in the Observational COVID Studies from ELSEVIER Database: Global Literature on Coronavirus Disease 2020 -2021},
  howpublished = {EasyChair Preprint 7108},
  year      = {EasyChair, 2021}}