Evidence map›Paper›PMID 31545808›Full record

ArticlePLoS neglected tropical diseases2019

Intrinsic and extrinsic drivers of transmission dynamics of hemorrhagic fever with renal syndrome caused by Seoul hantavirus.

Yidan Li, Bernard Cazelles, Guoqing Yang, Marko Laine, Zheng X Y Huang, Jun Cai, Hua Tan, Nils Chr Stenseth, Huaiyu Tian

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

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  16. Human infection with Seoul orthohantavirus in Korea, 2019.PLoS neglected tropical diseases · 2021
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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

9 authors at 8 institutions in 5 countries.

Yidan LiState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Bernard CazellesIBENS, UMR 8197 CNRS-ENS Ecole Normale Supérieure, Paris, France.
Guoqing YangHuludao Municipal Center for Disease Control and Prevention, Huludao, Liaoning, China.
Marko LaineFinnish Meteorological Institute, Helsinki, Finland.ORCID 0000-0002-5914-6747
Zheng X Y HuangCollege of Life Sciences, Nanjing Normal University, Nanjing, China.
Jun CaiMinistry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, China.ORCID 0000-0001-9495-1226
Hua TanSchool of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Nils Chr StensethCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Blindern, Oslo, Norway.
Huaiyu TianState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.ORCID 0000-0002-4466-0858
Beijing Normal University · CNCentre National de la Recherche Scientifique · FRFinnish Meteorological Institute · FILiaoning Technical University · CNNanjing Normal University · CNThe University of Texas Health Science Center at Houston · USTsinghua University · CNUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seoul hantavirus (SEOV) has recently raised concern by causing geographic range expansion of hemorrhagic fever with renal syndrome (HFRS). SEOV infections in humans are significantly underestimated worldwide and epidemic dynamics of SEOV-related HFRS are poorly understood because of a lack of field data and empirically validated models. Here, we use mathematical models to examine both intrinsic and extrinsic drivers of disease transmission from animal (the Norway rat) to humans in a SEOV-endemic area in China. We found that rat eradication schemes and vaccination campaigns, but below the local elimination threshold, could diminish the amplitude of the HFRS epidemic but did not modify its seasonality. Models demonstrate population dynamics of the rodent host were insensitive to climate variations in urban settings, while relative humidity had a negative effect on the seasonality in transmission. Our study contributes to a better understanding of the epidemiology of SEOV-related HFRS, demonstrates asynchronies between rodent population dynamics and transmission rate, and identifies potential drivers of the SEOV seasonality.

Indexed as

AnimalsChinaCitiesClimateHemorrhagic Fever with Renal SyndromeHumansModels, TheoreticalRodent ControlRodentiaSeasonsSeoul virusVaccination

Identifiers

PMID31545808
PMCPMC6776365
OpenAlexW2973996963

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.