Topic guide
Infections and vaccines
Evidence checks about infection headlines, vaccines, COVID, flu, immunity, antivirals, sepsis and public-health claims.
What to watch for
Common ways headlines can go too far
- Lab findings framed as clinical protection
- Population surveillance used without enough confounding context
- Safety signals presented without denominator or risk comparison
Infection and vaccine headlines need careful separation of lab evidence, surveillance data, clinical outcomes, safety signals and public-health interpretation.
Common hype patterns
- Lab or immune-marker findings framed as clinical protection.
- Population surveillance reported without enough confounding context.
- Safety signals presented without denominator, comparator or severity context.
- Early antiviral or vaccine findings generalised beyond the studied setting.
Questions to ask before trusting the headline
- Was the claim tested in people, or only in cells, animals or models?
- Is the outcome something patients notice, or only a surrogate marker?
- Does the headline distinguish association from causation?
- Are absolute risks, comparators and uncertainty shown clearly?
- Would the finding change real-world behaviour, or is it mainly hypothesis-generating?
How deHype.io reads this topic
deHype.io separates the public claim from the underlying evidence. The aim is not to dismiss early science, but to show whether the headline has kept the finding in proportion.
Helpful evidence guides
How to read a health headline
A practical guide to spotting overstatement and understanding the evidence behind health and science headlines.
How deHype grades claims
Learn how deHype evaluates health and science claims with a transparent grading system based on strength, relevance, and quality of evidence.
Association vs causation
Observational studies can highlight associations between factors, but these associations do not necessarily mean that one thing causes another. Understanding the principles behind observational studies and the risk of misinterpreting their results is essential for evaluating health and science news.
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