Evidence map›Paper›PMID 28141833›Full record

ArticlePLoS pathogens2017

Anthropogenically driven environmental changes shift the ecological dynamics of hemorrhagic fever with renal syndrome.

Huaiyu Tian, Pengbo Yu, Ottar N Bjørnstad, Bernard Cazelles, Jing Yang, Hua Tan, Shanqian Huang, Yujun Cui, Lu Dong, Chaofeng Ma and 9 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

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  7. Epidemiological Investigation and Analysis ofTransboundary and emerging diseases · 2026
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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

19 authors.

Huaiyu TianState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Pengbo YuShaanxi Provincial Centre for Disease Control and Prevention, Xi'an, Shaanxi, China.
Ottar N BjørnstadCenter for Infectious Disease Dynamics, Pennsylvania State University, State College, Pennsylvania.
Bernard CazellesEcologie & Evolution, UMR 7625, UPMC-ENS, Paris, France.ORCID 0000-0002-7972-361X
Jing YangState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Hua TanState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Shanqian HuangState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Yujun CuiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Lu DongMinistry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China.
Chaofeng MaXi'an Centre for Disease Control and Prevention, Xi'an, Shaanxi, China.
Changan MaHu County Centre for Disease Control and Prevention, Xi'an, Shaanxi, China.
Sen ZhouMinistry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, School of Environment, Tsinghua University, Beijing, China.
Marko LaineFinnish Meteorological Institute, Helsinki, Finland.ORCID 0000-0002-5914-6747
Xiaoxu WuState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Yanyun ZhangMinistry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China.
Jingjun WangShaanxi Provincial Centre for Disease Control and Prevention, Xi'an, Shaanxi, China.
Ruifu YangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Nils Chr StensethCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of OsloBlindern, Oslo, Norway.
Bing XuState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonoses are increasingly recognized as an important burden on global public health in the 21st century. High-resolution, long-term field studies are critical for assessing both the baseline and future risk scenarios in a world of rapid changes. We have used a three-decade-long field study on hantavirus, a rodent-borne zoonotic pathogen distributed worldwide, coupled with epidemiological data from an endemic area of China, and show that the shift in the ecological dynamics of Hantaan virus was closely linked to environmental fluctuations at the human-wildlife interface. We reveal that environmental forcing, especially rainfall and resource availability, exert important cascading effects on intra-annual variability in the wildlife reservoir dynamics, leading to epidemics that shift between stable and chaotic regimes. Our models demonstrate that bimodal seasonal epidemics result from a powerful seasonality in transmission, generated from interlocking cycles of agricultural phenology and rodent behavior driven by the rainy seasons.

Indexed as

Host-Pathogen InteractionsAnimalsBayes TheoremChinaEcologyEnvironmentFemaleGeographyHantaan virusHemorrhagic Fever with Renal SyndromeHumansPhylogenyPregnancyRainRiskRodentia

Identifiers

PMID28141833
PMCPMC5302841

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.