Stanford study suggests Long COVID cases may be far fewer than thought
Stanford found earlier Long COVID studies overstated cases due to flawed testing comparisons.
New research from Stanford University questions how many people actually have Long COVID. Researchers used refined data methods to review 4.4 billion US health insurance records.
Earlier studies made a key mistake by comparing sick people who tested for COVID with people who never tested at all. This wrong approach inflated the numbers.
Stanford used better controls instead and found 98 per cent fewer cases fitting the Long COVID pattern between four to 12 months after infection than earlier studies detected. Researchers stress this does not mean Long COVID is 98 per cent rarer.
Rather, study design shapes which health effects we can clearly link to COVID. Some people were wrongly assumed to have Long COVID but may have had other illnesses entirely.
No clinical test exists for Long COVID, making diagnosis hard. Experts say refining our understanding is important so people get correct care and Australia continues supporting those genuinely affected.
- 4.4 billion from 244 million Americans
- Health records reviewed
- 98 percent fewer
- Cases found versus earlier studies
- 1.3 million cumulative cases by end 2023
- Australian government prediction
Why it mattersBetter data on Long COVID helps direct medical resources and research correctly. It also stops wrong diagnoses of people with other conditions.
AustraliaAustralia has only a handful of Long COVID clinics now, after many were shut down post-pandemic; clearer data will inform whether funding should shift.
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