Evidence map›Paper›PMID 37690835›Full record

ArticleEnvironmental health and preventive medicine2023

Mathematical model estimation of dengue fever transmission risk from Southeast and South Asia into Japan between 2016 and 2018.

Ken Sakamoto, Takenori Yamauchi, Akatsuki Kokaze

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 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

3 authors at 1 institution in 1 country.

Ken SakamotoDepartment of Hygiene, Public Health and Preventive Medicine, School of Medicine, Showa University.ORCID http://orcid.org/0000-0003-0080-1775
Takenori YamauchiDepartment of Hygiene, Public Health and Preventive Medicine, School of Medicine, Showa University.
Akatsuki KokazeDepartment of Hygiene, Public Health and Preventive Medicine, School of Medicine, Showa University.
Showa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever is a viral infection transmitted to humans through the bite of a mosquito infected with the dengue virus. Dengue is one of the most common infectious diseases in the world, and its incidence is rapidly increasing. We estimated the risk of dengue importation from endemic countries to Japan and the transmission risk within Japan using data collected between 2016 and 2018.

methodsWe conducted simulations that included the number of reported dengue infections and travelers per month in ten countries in Southeast and South Asia.

resultsThe estimated importation risks for Japanese returnees and international travelers from each of the ten endemic countries was approximately 1.0 every month from 2016 to 2018. The autochthonous transmission risk in Japan from any target country was 1.0 from June to September yearly. The estimated number of Japanese dengue cases returning to Japan is approximately 25 times higher than that of imported cases reported in Japan.

conclusionsThe risk of dengue importation into Japan can be sufficiently high. Attention should be paid to autochthonous transmission spread between June and September when mosquitoes are active in Japan. Estimates of seasonal risk variation from each dengue virus-endemic country can be used to inform preventive and control measures for dengue in Japan.

Indexed as

ClimateDengueAnimalsAsia, SouthernHumansJapanSalaries and Fringe BenefitsAutochthonousDengueImportationJapanMathematical model

Identifiers

PMID37690835
PMCPMC10495242
OpenAlexW4386534528

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.