File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Interpretations of Studies on SARS-CoV-2 Vaccination and Post-acute COVID-19 Sequelae

TitleInterpretations of Studies on SARS-CoV-2 Vaccination and Post-acute COVID-19 Sequelae
Authors
KeywordsCausal inference
Long COVID
Principal stratification
Vaccination
Issue Date1-May-2024
PublisherLippincott, Williams & Wilkins
Citation
Epidemiology, 2024, v. 35, n. 3, p. 368-371 How to Cite?
AbstractThis article discusses causal interpretations of epidemiologic studies of the effects of vaccination on sequelae after acute severe acute respiratory syndrome coronavirus 2 infection. To date, researchers have tried to answer several different research questions on this topic. While some studies assessed the impact of postinfection vaccination on the presence of or recovery from post-acute coronavirus disease 2019 syndrome, others quantified the association between preinfection vaccination and postacute sequelae conditional on becoming infected. However, the latter analysis does not have a causal interpretation, except under the principal stratification framework - that is, this comparison can only be interpreted as causal for a nondiscernible stratum of the population. As the epidemiology of coronavirus disease 2019 is now nearly entirely dominated by reinfections, including in vaccinated individuals, and possibly caused by different Omicron subvariants, it has become even more important to design studies on the effects of vaccination on postacute sequelae that address precise causal questions and quantify effects corresponding to implementable interventions.
Persistent Identifierhttp://hdl.handle.net/10722/350457
ISSN
2023 Impact Factor: 4.7
2023 SCImago Journal Rankings: 0.655

 

DC FieldValueLanguage
dc.contributor.authorGonçalves, Bronner P.-
dc.contributor.authorOlliaro, Piero L.-
dc.contributor.authorHorby, Peter-
dc.contributor.authorMerson, Laura-
dc.contributor.authorCowling, Benjamin J.-
dc.date.accessioned2024-10-29T00:31:42Z-
dc.date.available2024-10-29T00:31:42Z-
dc.date.issued2024-05-01-
dc.identifier.citationEpidemiology, 2024, v. 35, n. 3, p. 368-371-
dc.identifier.issn1044-3983-
dc.identifier.urihttp://hdl.handle.net/10722/350457-
dc.description.abstractThis article discusses causal interpretations of epidemiologic studies of the effects of vaccination on sequelae after acute severe acute respiratory syndrome coronavirus 2 infection. To date, researchers have tried to answer several different research questions on this topic. While some studies assessed the impact of postinfection vaccination on the presence of or recovery from post-acute coronavirus disease 2019 syndrome, others quantified the association between preinfection vaccination and postacute sequelae conditional on becoming infected. However, the latter analysis does not have a causal interpretation, except under the principal stratification framework - that is, this comparison can only be interpreted as causal for a nondiscernible stratum of the population. As the epidemiology of coronavirus disease 2019 is now nearly entirely dominated by reinfections, including in vaccinated individuals, and possibly caused by different Omicron subvariants, it has become even more important to design studies on the effects of vaccination on postacute sequelae that address precise causal questions and quantify effects corresponding to implementable interventions.-
dc.languageeng-
dc.publisherLippincott, Williams & Wilkins-
dc.relation.ispartofEpidemiology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCausal inference-
dc.subjectLong COVID-
dc.subjectPrincipal stratification-
dc.subjectVaccination-
dc.titleInterpretations of Studies on SARS-CoV-2 Vaccination and Post-acute COVID-19 Sequelae-
dc.typeArticle-
dc.identifier.doi10.1097/EDE.0000000000001720-
dc.identifier.pmid38630510-
dc.identifier.scopuseid_2-s2.0-85190900151-
dc.identifier.volume35-
dc.identifier.issue3-
dc.identifier.spage368-
dc.identifier.epage371-
dc.identifier.eissn1531-5487-
dc.identifier.issnl1044-3983-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats