Evidence map›Paper›PMID 32272134›Full record

ArticleJournal of theoretical biology2020

Modeling the waning and boosting of immunity from infection or vaccination.

Rose-Marie Carlsson, Lauren M Childs, Zhilan Feng, John W Glasser, Jane M Heffernan, Jing Li, Gergely Röst

Open access · hybridAbstract read
In one paragraph

Article in Journal of theoretical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 43 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

7 authors at 7 institutions in 4 countries.

Rose-Marie CarlssonPublic Health Agency of Sweden, Solna, Sweden.
Lauren M ChildsVirginia Tech, Blacksburg, VA, USA.
Zhilan FengPurdue University, West Lafayette, IN, USA; National Science Foundation, Alexandria, VA, USA.
John W GlasserCenters for Disease Control and Prevention, Atlanta, GA, USA.
Jane M HeffernanYork University, Toronto, ON, Canada. Electronic address: jmheffer@yorku.ca.
Jing LiCalifornia State University, Northridge, CA, USA.
Gergely RöstUniversity of Szeged, Szeged, Hungary.
California State University, Northridge · USCenters for Disease Control and Prevention · USPublic Health Agency of Sweden · SEUniversity of Szeged · HUU.S. National Science Foundation · USVirginia Tech · USYork University · CA

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Immunity following natural infection or immunization may wane, increasing susceptibility to infection with time since infection or vaccination. Symptoms, and concomitantly infectiousness, depend on residual immunity. We quantify these phenomena in a model population composed of individuals whose susceptibility, infectiousness, and symptoms all vary with immune status. We also model age, which affects contact, vaccination and possibly waning rates. The resurgences of pertussis that have been observed wherever effective vaccination programs have reduced typical disease among young children follow from these processes. As one example, we compare simulations with the experience of Sweden following resumption of pertussis vaccination after the hiatus from 1979 to 1996, reproducing the observations leading health authorities to introduce booster doses among school-aged children and adolescents in 2007 and 2014, respectively. Because pertussis comprises a spectrum of symptoms, only the most severe of which are medically attended, accurate models are needed to design optimal vaccination programs where surveillance is less effective.

Indexed as

Whooping CoughAdolescentChildChild, PreschoolHumansImmunizationImmunization ProgramsImmunization, SecondaryVaccinationAge- and immunity-structured populationImmuno-epidemiologyMathematical epidemiologyVaccinationWaning and boosting of immunity

Identifiers

PMID32272134
PMCPMC9108945
OpenAlexW3015519064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.