The impact of infection-derived immunity on disease dynamics.

Prevalence Probability
Infection-derived immunity Mathematical epidemiology Mathematical modeling

Journal

Journal of mathematical biology
ISSN: 1432-1416
Titre abrégé: J Math Biol
Pays: Germany
ID NLM: 7502105

Informations de publication

Date de publication:
12 11 2021
Historique:
received: 10 01 2021
accepted: 13 10 2021
revised: 20 07 2021
entrez: 13 11 2021
pubmed: 14 11 2021
medline: 25 11 2021
Statut: epublish

Résumé

When modeling infectious diseases, it is common to assume that infection-derived immunity is either (1) non-existent or (2) perfect and lifelong. However there are many diseases in which infection-derived immunity is known to be present but imperfect. There are various ways in which infection-derived immunity can fail, which can ultimately impact the probability that an individual be reinfected by the same pathogen, as well as the long-run population-level prevalence of the pathogen. Here we discuss seven different models of imperfect infection-derived immunity, including waning, leaky and all-or-nothing immunity. For each model we derive the probability that an infected individual becomes reinfected during their lifetime, given that the system is at endemic equilibrium. This can be thought of as the impact that each of these infection-derived immunity failures have on reinfection. This measure is useful because it provides us with a way to compare different modes of failure of infection-derived immunity.

Identifiants

DOI: 10.1007/s00285-021-01681-4 PMID: 34773173 PMC: PMC8589100
pubmed: 34773173
doi: 10.1007/s00285-021-01681-4
pii: 10.1007/s00285-021-01681-4
pmc: PMC8589100
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

61

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI101155
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI143852
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM111274
Pays : United States

Informations de copyright

© 2021. Crown.

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Auteurs

Adam Le (A)

Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.

Aaron A King (AA)

Department of Ecology and Evolutionary Biology, Department of Mathematics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, USA.

Felicia Maria G Magpantay (FMG)

Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada. felicia.magpantay@queensu.ca.
ORCID: 0000-0002-1064-0357

Afshin Mesbahi (A)

Odum School of Ecology and Department of Infectious Diseases, University of Georgia, Athens, GA, USA.

Pejman Rohani (P)

Odum School of Ecology and Department of Infectious Diseases, University of Georgia, Athens, GA, USA.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Registre civil › Morbidité › Prévalence › The impact of infection-derived immunity on...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › The impact of infection-derived immunity on...