Article

Long COVID symptoms from Reddit: Characterizing post-COVID syndrome from patient reports

2021-06-18

Abstract excerpt

<h4>Objective</h4> To mine Reddit to discover long-COVID symptoms self-reported by users, compare symptom distributions across studies, and create a symptom lexicon. <h4>Materials and Methods</h4> We retrieved posts from the /r/covidlonghaulers subreddit and extracted symptoms via approximate matching using an expanded meta-lexicon. We mapped the extracted symptoms to standard concept IDs, compared their distribut...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3dabf60d-4651-5022-9965-980ab5f7272a
DOI: 10.1101/2021.06.15.21259004

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Long COVID symptoms from Reddit: Characterizing post-COVID syndrome from patient reportsDOI 10.1101/2021.06.15.21259004Read

Development of a Post-Acute Sequelae of COVID-19 (PASC) Symptom Lexicon Using Electronic Health Record Clinical NotesSemantic proximity Read

Using Social Media to Help Understand Long COVID Patient Reported Health Outcomes: A Natural Language Processing ApproachSemantic proximity Read

Prevalence, Risk Factors and Characterisation of Individuals with Long COVID Using Electronic Health Records in Over 1.5 Million COVID Cases in EnglandSemantic proximity Read

Characterizing Long COVID: Deep Phenotype of a Complex ConditionSemantic proximity Read

Covid-19 does not look like what you are looking for: Clustering symptoms by nation and multi-morbidities reveal substantial differences to the classical symptom triadSemantic proximity Read

Profiling post-COVID syndrome across different variants of SARS-CoV-2Semantic proximity Read

A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms.Semantic proximity Read

Machine Learning Analysis of Post-Acute COVID Symptoms Identifies Distinct Clusters, Severity Groups, and TrajectoriesSemantic proximity Read

Trend and co-occurrence network study of symptoms through social media: an example of COVID-19Semantic proximity Read

Therapies for Long COVID in non-hospitalised individuals - from symptoms, patient-reported outcomes, and immunology to targeted therapies (The TLC Study): Study protocolSemantic proximity Read

Identifying and Ranking Common COVID-19 Symptoms from Arabic TwitterSemantic proximity Read

Long Covid: A Systematic Review and Meta-Analysis of 120,970 PatientsSemantic proximity Read