Evidence map›Paper›PMID 34773173›Full record

ArticleJournal of mathematical biology2021

The impact of infection-derived immunity on disease dynamics.

Adam Le, Aaron A King, Felicia Maria G Magpantay, Afshin Mesbahi, Pejman Rohani

Open access · hybridAbstract read
In one paragraph

Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Adam LeDepartment of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
Aaron A KingDepartment 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 MagpantayDepartment of Mathematics and Statistics, Queen's University, Kingston, ON, Canada. felicia.magpantay@queensu.ca.ORCID http://orcid.org/0000-0002-1064-0357
Afshin MesbahiOdum School of Ecology and Department of Infectious Diseases, University of Georgia, Athens, GA, USA.
Pejman RohaniOdum School of Ecology and Department of Infectious Diseases, University of Georgia, Athens, GA, USA.
Queen's University · CAUniversity of Georgia · USUniversity of Michigan · US

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Dynamical modeling of hospital transmission and antibiotic resistance evolution in a multidrug resistant nosocomial pathogenR01AI143852 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODS, ROBERT J · 2019 to 2023
$2.9M
Integrating immunology, epidemiology, and evolution to understand and control perR01AI101155 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KING, AARON A., ROHANI, PEJMAN · 2012 to 2016
$1.7M
NIAID NIH HHS R01 AI101155NIAID NIH HHS R01 AI143852NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

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.

Indexed as

ProbabilityPrevalenceInfection-derived immunityMathematical epidemiologyMathematical modeling

Identifiers

PMID34773173
PMCPMC8589100
OpenAlexW3214048353

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.