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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.
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
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  Data: Methodological considerations in the attribution of long COVID to first or second infection - Authors' reply.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+B%22">Zhang B</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Wu+Q%22">Wu Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Jhaveri+R%22">Jhaveri R</searchLink>; Division of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Forrest+CB%22">Forrest CB</searchLink>; Applied Clinical Research Center, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101130150%22">The Lancet. Infectious diseases</searchLink> [Lancet Infect Dis] 2026 Mar; Vol. 26 (3), pp. e141. <i>Date of Electronic Publication: </i>2026 Jan 08.
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              Text: 2026 Mar
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