MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic
Journal Article

Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic

2022
Request Book From Autostore and Choose the Collection Method
Overview
Background During the COVID-19 pandemic, some studies describing different aspects of the infection included very similar participants, rising suspicion about double reporting. We aimed to evaluate the Gantt chart as a tool to highlight possible double reporting. The chart is routinely used in business applications to depict tasks of a project, by plotting horizontal bars against time, showing their time span and overlaps. Methods All case reports and case series of pregnant women with COVID-19, published by July 15, 2020, were included. Initial and final dates of participants’ enrollment, country, city, hospital, and number of pregnancies were plotted in the Gantt chart. Bars stand for enrollment dates of each study, according to hospital and city, thus allowing comparisons. Results We included 116 articles in the present analysis. The Gantt chart highlighted papers in which some participants were likely the same, thus allowing easier identification of double reporting of cases. Combining all information and pregnancy characteristics and outcomes helped to recognize duplications when the authors did not acknowledged the previous publication. Conclusions Unintended double reporting may occur, especially in exceptional times. The Gantt chart may help researchers to visually identify potential duplications, thus avoiding biased estimates in systematic reviews or meta-analysis.