Temporal, demographic, and geographic patterns of long COVID incidence in relation to SARS-CoV-2 variant emergence: Insights from the Texas all-payer claims database (TX-APCD) - Takeaways - MDSpire
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Patterns of Long COVID Incidence Over Time, Demographics, and Geography in Relation to SARS-CoV-2 Variant Development: Analysis from the Texas All-Payer Claims Database (TX-APCD)

  • By

  • Boya Peng

  • Dei'sharrah Allen-Benson

  • Yashar Talebi

  • Samiran Ghosh

  • Ashraf Yaseen

  • Melissa Valerio-Shewmaker

  • Eric Boerwinkle

  • Stacia M. DeSantis

  • Michael Swartz

  • Cecilia Ganduglia Cazaban

  • Kaiming Bi

  • September 17, 2026

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  • 1

    The paper cites estimates that Long COVID affects 10%–30% of individuals with COVID-19, representing approximately 400 million people worldwide. These are background estimates, not findings from this study.

  • 2

    Population-level Long COVID surveillance remains limited. Much existing evidence relies on surveys or self-reported outcomes, while information on documented diagnoses and healthcare utilization remains fragmented.

  • 3

    The Texas All-Payer Claims Database (TX-APCD) includes multiple payer types across all 254 Texas counties and covers approximately 60% of insured Texans.

  • 4

    The study analyzed claims from October 2021 through October 2023 to examine temporal, demographic, and geographic patterns of documented Long COVID across SARS-CoV-2 variant-dominated periods.

  • 5

    Long COVID was identified using ICD-10-CM code U09.9, counting each person’s first diagnosis. All identified individuals had a documented COVID-19 encounter; none were excluded for lacking a prior record.

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