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Discrete SIR modelling using empirical infection data shows that SARS-CoV-2 infection provides short-term immunity — Europe PMC PPR:PPR171794

Source: Europe PMC
Original: https://europepmc.org/article/PPR/PPR171794
DOI: 10.1101/2020.06.03.20120113
License (as archived): CC0-1.0
Archived: 2026-11-08T12:57:56.858Z
SHA-256 of the archived text: 5d8636948df40a3299678adba110f5e9483d1aaf0bc4c6f8b6a1cf507df7a671
Stable URL of this page: https://metraipolis.com/documento/dc_7bb739fa9dde

How to cite

Discrete SIR modelling using empirical infection data shows that SARS-CoV-2 infection provides short-term immunity — Europe PMC PPR:PPR171794 — Europe PMC, https://europepmc.org/article/PPR/PPR171794 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7bb739fa9dde (Metraipolis archive dc_7bb739fa9dde, sha256 5d8636948df40a3299678adba110f5e9483d1aaf0bc4c6f8b6a1cf507df7a671)

BibTeX

@misc{dc7bb739fa9dde,
  title = {Discrete SIR modelling using empirical infection data shows that SARS-CoV-2 infection provides short-term immunity — Europe PMC PPR:PPR171794},
  howpublished = {Europe PMC},
  url = {https://europepmc.org/article/PPR/PPR171794},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7bb739fa9dde; sha256 5d8636948df40a3299678adba110f5e9483d1aaf0bc4c6f8b6a1cf507df7a671},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC, https://europepmc.org/article/PPR/PPR171794. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Background: The novel coronavirus SARS-CoV-2, which causes the COVID-19 disease, has resulted in a global pandemic. Since its emergence in December 2019, the virus has infected millions of people, caused the deaths of hundreds of thousands and resulted in incalculable social and economic damage. Understanding the infectivity and transmission dynamics of the virus is essential for understanding how best to reduce mortality whilst ensuring minimal social restrictions to the lives of the general population. Anecdotal evidence is available, but detailed studies have not yet revealed whether infection with the virus results in immunity. Objective: The objective of the study was to use mathematical modelling to investigate the reinfection frequency of COVID-19. Methods: We have used the SIR (Susceptible, Infected, Recovered) framework and random processing based on empirical SARS-CoV-2 infection and fatality data from different regions to calculate the number of reinfections that would be expected to occur if no immunity to the disease occurred. Results: Our model predicts that cases of reinfection should have been observed by now if primary SARS-CoV-2 infection did not protect from subsequent exposure in the short term, however, no such cases have been documented. Conclusions: This work concludes that infection with the SARS-CoV-2 virus provides short-term immunity to reinfection and therefore provides a useful insight for serological testing strategies, lockdown easing and vaccine design.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: medRxiv, 2020 (prima pubblicazione 2020-06-05).
Identificativi: DOI 10.1101/2020.06.03.20120113.
Pagina: https://europepmc.org/article/PPR/PPR171794 — https://doi.org/10.1101/2020.06.03.20120113. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
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