Evidence map›Paper›PMID 29953493›Full record

ArticlePloS one2018

Potential effects of climate change on dengue transmission dynamics in Korea.

Hyojung Lee, Jung Eun Kim, Sunmi Lee, Chang Hyeong Lee

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The impact of climate change on neglected tropical diseases: a systematic review.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2021
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  17. Modeling present and future climate risk of dengue outbreak, a case study in New Caledonia.Environmental health : a global access science source · 2022
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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.

Hyojung LeeGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Jung Eun KimDepartment of Mathematical Sciences, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Sunmi LeeDepartment of Applied Mathematics, Kyung Hee University, Yongin, Republic of Korea.
Chang Hyeong LeeDepartment of Mathematical Sciences, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID 0000-0003-3247-5791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever is a major international public health concern, with more than 55% of the world population at risk of infection. Recent climate changes related to global warming have increased the potential risk of domestic outbreaks of dengue in Korea. In this study, we develop a two-strain dengue model associated with climate-dependent parameters based on Representative Concentration Pathway (RCP) scenarios provided by the Korea Meteorological Administration. We assess the potential risks of dengue outbreaks by means of the vector capacity and intensity under various RCP scenarios. A sensitivity analysis of the temperature-dependent parameters is performed to explore the effects of climate change on dengue transmission dynamics. Our results demonstrate that a higher temperature significantly enhances the potential threat of domestic dengue outbreaks in Korea. Furthermore, we investigate the effects of countermeasures on the cumulative incidence of humans and vectors. The current main control measures (comprising only travel restrictions) for infected humans in Korea are not as effective as combined control measures (travel restrictions and vector control), dramatically reducing the possibilities of dengue outbreaks.

Indexed as

Climate ChangeDisease OutbreaksModels, BiologicalDengueFemaleHumansMaleRepublic of Korea

Identifiers

PMID29953493
PMCPMC6023222

What OpenQuestion holds

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LicenceCC BY
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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.