What policy makers need to know about COVID-19 protective immunity
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Under current plausible COVID-19 vaccine acceptance rates, possible levels of existing protective immunity, and the rapidly evolving nature of misinformation, it is unclear whether vaccination will reach the levels required for herd immunity.
“Under these current plausible COVID-19 vaccine acceptance rates, possible levels of existing protective immunity-though it is unclear whether post-infection immunity confers long-term immunity 29 and the rapidly evolving nature of misinformation surrounding the pandemic 23,30 , it is unclear whether vaccination will reach the levels required for herd immunity.”
From Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA (2021) · cites this paper as [29]
The single peak under optimal mitigation relies upon the assumption that recovery from infection confers durable immunity to reinfection, which has yet to be conclusively demonstrated.
“However, this single peak relies upon the assumption that recovery from infection confers durable immunity to reinfection, which has yet to be conclusively demonstrated (16).”
From The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries (2020) · cites this paper as [16]
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References 20 · Cited by 223
- Authors
- Altmann, D. M., Douek, D. C., & Boyton, R. J.
- Affiliations
- Hammersmith Hospital (GB)
- National Institutes of Health (US)
- Royal Brompton & Harefield NHS Foundation Trust (GB)
- Corresponding author
- Altmann, Daniel M
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 395
- Issue
- 10236
- Pages
- 1527-1529
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7185915
- OpenAlex
- W3018174791
- Cited by
- 223
- References
- 20
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 23 · 2022: 36 · 2021: 65 · 2020: 88
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- COVID-19 pandemic, SARS-CoV-2, protective immunity, lockdown, public health policy, disease spread, socioeconomic costs
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Administrative Personnel, Antibodies, Viral, Humans, Pneumonia, Viral, Coronavirus Infections, Clinical Laboratory Techniques, Immunity, Herd, Mass Vaccination, Pandemics
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