Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq
Year: 2025
Type: data-paper
Study design: Observational Study
Abstract: Vaccination has long been recognized as the most effective means for disease prevention, yet concerns have raised globally regarding possible side effects. These concerns were very serious with the COVID-19 vaccines due to the accelerated development process, which did not follow the traditional vaccine lifecycle. This paper describes a dataset that captures a range of long-term symptoms in patients after recovering from the virus including information on vaccination status and self-reported memory issues. The research was carried out in the Kurdistan region of Iraq, and as a result, The Kurdistan Long Term COVID Dataset (KLTCD) was established. The dataset is publicly available online. Basic statistical analysis, measures and machine learning logistic algorithm have been used to evaluate the hypothesis. The established dataset contains numerous features, variables, and labels, making it one of the most information-rich datasets on long-term COVID-19. It may be used to support or refute various hypothesis related to the virus.
Source: Data in Brief
Authors: Aveen Kakamen, Ibrahim Ismael Hamarash
Institutions: University of Kurdistan Hewler, Salahaddin University-Erbil
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,220
OpenAlex ID: W4411373418