Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
    Users Online: 203
Home Print this page Email this page Small font size Default font size Increase font size
Year : 2021  |  Volume : 10  |  Issue : 3  |  Page : 155-159

Bias in early coronavirus disease 2019 research

Department Research, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia

Correspondence Address:
Fatmah Mahmoud Othman
College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences. Mail Code 3159 3129, P.O. Box. 3660, Riyadh 11481
Saudi Arabia
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/sjhs.sjhs_104_21

Rights and Permissions

In the context of the ongoing global pandemic of coronavirus disease 2019 (COVID-19), most scientific evidence related to disease transmission and clinical outcomes, especially in the first wave, originated from observational studies. Those studies have provided a basic understanding of various aspects of this disease, including clinical manifestations, pathogenesis, diagnosis, and treatment. However, the accuracy and credibility of some such studies have been questioned because of the presence of bias, which is occasionally addressed in the published research. In this review, the principal types of bias in COVID-19 research are discussed, namely selection and misclassification bias. For this mini literature search, Medline database had used to identify the related articles. Many studies have shown some selection bias in sampling their population, leading to an over-or underestimation of true results. Understanding the effect of bias in the context of COVID-19, research is important for two reasons. First, it enables a discussion of the findings of such biases, especially those that occurred in studies contributing to evidence-based medicine. Second, it helps ensure that researchers avoid such bias in future research and any subsequent infectious pandemic. The key points in avoiding such bias are study design and the need for care in collecting information on both exposure and outcome; however, in the real world, these are very challenging matters.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded96    
    Comments [Add]    

Recommend this journal