Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort

Long COVID is frequently accompanied by enduring neurocognitive and physical symptoms that substantially affect quality of life. Cognitive complaints—including difficulties in memory, attention, and executive functioning—often co-occur with physical manifestations such as fatigue, dyspnea, and headache. Despite growing research, openly available datasets integrating demographic, cognitive, and physical symptom profiles assessed during chronic phases of Long COVID remain scarce. Here, we present two complementary self-report datasets collected ≥6 months after the most recent COVID-19 infection. The first dataset (“Neuro–Long COVID-212”) includes demographic information, binary neurocognitive symptom indicators, and a 14-item Post-COVID Cognitive Impairment Scale assessing memory and attention complaints. The second dataset (“Neuro–Long COVID–210”) provides a broad range of physical symptoms—operationally defined as somatic and neurological complaints (e.g., fatigue, pain, sleep disturbance, anosmia/ageusia)—recorded as binary indicators (present/absent). Data were collected online via the Porsline platform using individualized links, with remote researcher support to ensure accuracy. Quality assurance procedures included duplicate-response removal, consistency checks, and transparent handling of missing values. The datasets are released in Excel (.xlsx) format, fully de-identified and accompanied by a detailed data dictionary to facilitate reuse. These datasets enable reproducibility, secondary analyses, and meta-analyses on cognitive and physical outcomes in Long COVID, and may inform future cross-disciplinary rehabilitation research.

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Published
2025-12-01
DOI
https://doi.org/10.3390/data10120198
Primary Topic
Long-Term Effects of COVID-19
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article
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article

Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort

Shamaneh Mohammadi, Irene Peláez, Francisco Mercado, Moein Noroozi Fashkhami
Data
Long-Term Effects of COVID-19
article

Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort

Shamaneh Mohammadi, Irene Peláez, Francisco Mercado, Moein Noroozi Fashkhami
article en

Abstract

Long COVID is frequently accompanied by enduring neurocognitive and physical symptoms that substantially affect quality of life. Cognitive complaints—including difficulties in memory, attention, and executive functioning—often co-occur with physical manifestations such as fatigue, dyspnea, and headache. Despite growing research, openly available datasets integrating demographic, cognitive, and physical symptom profiles assessed during chronic phases of Long COVID remain scarce. Here, we present two complementary self-report datasets collected ≥6 months after the most recent COVID-19 infection. The first dataset (“Neuro–Long COVID-212”) includes demographic information, binary neurocognitive symptom indicators, and a 14-item Post-COVID Cognitive Impairment Scale assessing memory and attention complaints. The second dataset (“Neuro–Long COVID–210”) provides a broad range of physical symptoms—operationally defined as somatic and neurological complaints (e.g., fatigue, pain, sleep disturbance, anosmia/ageusia)—recorded as binary indicators (present/absent). Data were collected online via the Porsline platform using individualized links, with remote researcher support to ensure accuracy. Quality assurance procedures included duplicate-response removal, consistency checks, and transparent handling of missing values. The datasets are released in Excel (.xlsx) format, fully de-identified and accompanied by a detailed data dictionary to facilitate reuse. These datasets enable reproducibility, secondary analyses, and meta-analyses on cognitive and physical outcomes in Long COVID, and may inform future cross-disciplinary rehabilitation research.

DataVol. 10(12)
Universidad Rey Juan Carlos (ES), Islamic Azad University Central Tehran Branch (IR)
Payame Noor University
Openalex Percentile: Top 48%
Long-Term Effects of COVID-19
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Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort — Shamaneh Mohammadi, Irene Peláez, et al. · Data (2025) | TGRS Research Map | TGRS