Evidence map›Paper›PMID 24523275›Full record

ArticleProceedings. Biological sciences2014

Wet climate and transportation routes accelerate spread of human plague.

Lei Xu, Leif Chr Stige, Kyrre Linné Kausrud, Tamara Ben Ari, Shuchun Wang, Xiye Fang, Boris V Schmid, Qiyong Liu, Nils Chr Stenseth, Zhibin Zhang

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Anti-infective compounds forSustainable microbiology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Acceleration of plague outbreaks in the second pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Historical and genomic data reveal the influencing factors on global transmission velocity of plague during the Third Pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. Article
  20. Phenotypic and Molecular Genetic Characteristics ofThe American journal of tropical medicine and hygiene · 2018
    Article
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

10 authors.

Lei XuState Key Laboratory of Integrated Management on Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, , Beijing 100101, People's Republic of China, Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, , PO Box 1066, Blindern, Oslo 0316, Norway, State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, , Beijing 102206, People's Republic of China.
Leif Chr Stige
Kyrre Linné Kausrud
Tamara Ben Ari
Shuchun Wang
Xiye Fang
Boris V Schmid
Qiyong Liu
Nils Chr Stenseth
Zhibin Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, large-scale transmissions of infectious diseases are becoming more closely associated with accelerated globalization and climate change, but quantitative analyses are still rare. By using an extensive dataset consisting of date and location of cases for the third plague pandemic from 1772 to 1964 in China and a novel method (nearest neighbour approach) which deals with both short- and long-distance transmissions, we found the presence of major roads, rivers and coastline accelerated the spread of plague and shaped the transmission patterns. We found that plague spread velocity was positively associated with wet conditions (measured by an index of drought and flood events) in China, probably due to flood-driven transmission by people or rodents. Our study provides new insights on transmission patterns and possible mechanisms behind variability in transmission speed, with implications for prevention and control measures. The methodology may also be applicable to studies of disease dynamics or species movement in other systems.

Indexed as

ClimateChinaClimate ChangeCommunicable Diseases, EmergingDroughtsFloodsHumansPandemicsPlagueclimatemovement ecologyspread routespread velocitythird plague pandemictransportation

Identifiers

PMID24523275
PMCPMC4027397

What OpenQuestion holds

Textmetadata
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.