{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T11:24:02Z","timestamp":1784114642339,"version":"3.55.0"},"reference-count":15,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001826","name":"ZonMw","doi-asserted-by":"publisher","award":["10430302110004"],"award-info":[{"award-number":["10430302110004"]}],"id":[{"id":"10.13039\/501100001826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Aim<\/jats:title>\n<jats:p>A population-based COVID-19 cohort was set up in the Netherlands to gain comprehensive insight in the short- and long-term effects of COVID-19 in the general population. The present study aims to describe the methodology and infrastructure used to recruit individuals with COVID-19, and the representativeness of the population-based cohort. The second aim was to characterize the population by description of their symptoms and health care usage during the acute COVID-19 phase.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Method<\/jats:title>\n<jats:p>The starting point of the set-up of the cohort was to recruit participants in routinely recorded, general practice electronic health records (EHR) data, which are sent to the Netherlands Institute for Health Services Research Primary Care Database (Nivel-PCD) on a weekly basis. Patients registered with COVID-19 were flagged in the Nivel-PCD based on their COVID-19 diagnoses. Flagged patients were invited for participation by their general practitioner via a trusted third party. Participating patients received a series of four questionnaires over the duration of one year allowing for a combination of data from patient reported outcomes and EHRs.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>In this study, results from the first questionnaire are used. The Nivel Corona Cohort consists of 442 participants and is population-based, containing a complete image of severity of symptoms from patients with none or hardly any symptoms to those who were hospitalized due to the COVID-19. The five most prevalent symptoms during the acute COVID-19 phase were fatigue (90.5%), reduced condition (88.2%), coughing\/sneezing\/stuffy nose (79.3%), headache (75.4%), and myalgia (66.7%).<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The population-based Nivel Corona Cohort provides ample opportunities for future studies to gain comprehensive insight in the short- and long-term effects of COVID-19 by combining patients\u2019 perspectives and clinical parameters via the EHRs within a long-term follow-up of the cohort.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0288715","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:29:21Z","timestamp":1692725361000},"page":"e0288715","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":5,"title":["Nivel Corona Cohort: A description of the cohort and methodology used for combining general practice electronic records with patient reported outcomes to study impact of a COVID-19 infection"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7317-2431","authenticated-orcid":true,"given":"Renee","family":"Veldkamp","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9551-1564","authenticated-orcid":true,"given":"Karin","family":"Hek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rinske","family":"van den Hoek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Schackmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eug\u00e8ne","family":"van Puijenbroek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liset","family":"van Dijk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2023,8,22]]},"reference":[{"key":"pone.0288715.ref001","unstructured":"WHO. 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Persistent Symptoms in Patients After Acute COVID-19","volume":"324","author":"A Carfi","year":"2020","journal-title":"JAMA"},{"issue":"6","key":"pone.0288715.ref003","doi-asserted-by":"crossref","first-page":"e4","DOI":"10.1016\/j.jinf.2020.08.029","article-title":"Post-discharge persistent symptoms and health-related quality of life after hospitalization for COVID-19.","volume":"81","author":"E Garrigues","year":"2020","journal-title":"J Infect"},{"issue":"2","key":"pone.0288715.ref004","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.cmi.2020.09.052","article-title":"Follow-up of adults with noncritical COVID-19 two months after symptom onset","volume":"27","author":"C Carvalho-Schneider","year":"2021","journal-title":"Clin Microbiol Infect"},{"key":"pone.0288715.ref005","article-title":"Long-term COVID-19 symptoms in a large unselected population.","author":"K.M. Cirulli ESB","year":"2020"},{"issue":"4","key":"pone.0288715.ref006","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1136\/thoraxjnl-2020-216377","article-title":"Persistent symptoms 1.5\u20136 months after COVID-19 in non-hospitalised subjects: a population-based cohort study.","volume":"76","author":"K Stavem","year":"2021","journal-title":"Thorax"},{"issue":"3","key":"pone.0288715.ref007","doi-asserted-by":"crossref","first-page":"e33250","DOI":"10.2196\/33250","article-title":"Electronic Health Record-Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study.","volume":"10","author":"K Hek","year":"2022","journal-title":"JMIR Med Inform"},{"key":"pone.0288715.ref008","author":"M Nielen","year":"2016"},{"issue":"9","key":"pone.0288715.ref009","doi-asserted-by":"crossref","DOI":"10.1136\/bmjgh-2021-005427","article-title":"Characterising long COVID: a living systematic review","volume":"6","author":"M Michelen","year":"2021","journal-title":"BMJ Glob Health"},{"key":"pone.0288715.ref010","unstructured":"Rijksoverheid, RIVM. 2022. 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Intitute","year":"2022","journal-title":"Cijfers alcohol Utrecht"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0288715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:29:35Z","timestamp":1692725375000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0288715"}},"subtitle":[],"editor":[{"given":"Stefaan","family":"Demarest","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2023,8,22]]},"references-count":15,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,8,22]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0288715","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,22]]}}}