Methodological considerations in the attribution of long COVID to first or second infection - Authors' reply.
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| Title: | Methodological considerations in the attribution of long COVID to first or second infection - Authors' reply. |
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| Authors: | Zhang B; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA., Wu Q; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Biostatistics and Health Data Science, University of Pittsburgh, Pittsburgh, PA, USA., Jhaveri R; Division of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA., Forrest CB; Applied Clinical Research Center, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Chen Y; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, Philadelphia, PA, USA; Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, PA, USA; Penn Institute for Biomedical Informatics (IBI), Philadelphia, PA, USA. Electronic address: ychen123@pennmedicine.upenn.edu. |
| Source: | The Lancet. Infectious diseases [Lancet Infect Dis] 2026 Mar; Vol. 26 (3), pp. e141. Date of Electronic Publication: 2026 Jan 08. |
| Publication Type: | Letter |
| Journal Info: | Publisher: Elsevier Science Country of Publication: United States NLM ID: 101130150 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-4457 (Electronic) Linking ISSN: 14733099 NLM ISO Abbreviation: Lancet Infect Dis Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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