Evidence map›Paper›PMID 34947863›Full record

ArticleLife (Basel, Switzerland)2021

Relative Risk Prediction of Norovirus Incidence under Climate Change in Korea.

Tae-Kyoung Kim, Jayeong Paek, Hwang-Yong Kim, Ilsu Choi

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

4 authors.

Tae-Kyoung KimDepartment of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea.
Jayeong PaekDepartment of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea.
Hwang-Yong KimMicrobial Safety Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Ilsu ChoiDepartment of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea.

Funding

Agriculture Science & Technology Development PJ015845
6 · The paper itself

Abstract

As incidences of food poisoning, especially norovirus-induced diarrhea, are associated with climate change, there is a need for an approach that can be used to predict the risks of such illnesses with high accuracy. In this paper, we predict the winter norovirus incidence rate in Korea compared to that of other diarrhea-causing viruses using a model based on B-spline added to logistic regression to estimate the long-term pattern of illness. We also develop a risk index based on the estimated probability of occurrence. Our probabilistic analysis shows that the risk of norovirus-related food poisoning in winter will remain stable or increase in Korea based on various Representative Concentration Pathway (RCP) scenarios. Our approach can be used to obtain an overview of the changes occurring in regional and seasonal norovirus patterns that can help assist in making appropriate policy decisions.

Indexed as

climate changegeneralized additive logistic modelnorovirusrelative risk

Identifiers

PMID34947863
PMCPMC8704000

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.