Evidence map›Paper›PMID 31080934›Full record

ArticleInfectious Disease Modelling2019

Probabilistic modeling for an integrated temporary acquired immunity with norovirus epidemiological data.

Emmanuel de-Graft Johnson Owusu-Ansah, Benedict Barnes, Robert Abaidoo, Hald Tine, Anders Dalsgaard, Anders Permin, Torben Wilde Schou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious Disease Modelling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emmanuel de-Graft Johnson Owusu-AnsahDepartment of Mathematics, Faculty of Physical and Computational Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Benedict BarnesDepartment of Mathematics, Faculty of Physical and Computational Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Robert AbaidooDepartment of Theoretical and Applied Biology, Faculty of Bio Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Hald TineResearch Group of Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark.
Anders DalsgaardFood Safety and Zoonoses, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Stigböjlen 4, 1870 Frederiksberg C, Denmark.
Anders PerminOffice for Innovation and Sector Services, Administration, Technical University of Denmark, Anker Engelunds Vej, 2800 Kgs Lyngby, Denmark.
Torben Wilde SchouEnvironment and Toxicology, DHI, Horsholm, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration of acquired immunity into microbial risk assessment for illness incidence is of no doubt essential for the study of susceptibility to illness. In this study, a probabilistic model was set up as dose response for infection and a mathematical derivation was carried out by integrating immunity to obtain probability of illness models. Temporary acquire immunity from epidemiology studies which includes six different

Indexed as

Immunity integrated modelingProbabilistic modelingQuantitative risk assessment

Identifiers

PMID31080934
PMCPMC6503004

What OpenQuestion holds

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Registered trials

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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.