Evidence map›Paper›PMID 27170724›Full record

ArticleProceedings. Biological sciences2016

Epidemiological analysis of the Eyam plague outbreak of 1665-1666.

Lilith K Whittles, Xavier Didelot

Abstract readHistorical Article
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. A step forward toward solving the main mysteries in the history of plague?Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Article
  3. Article
  4. Differential mortality of infectious disease in Italian polities: COVID-19, past plague epidemics, and currently endemic respiratory disease.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. How epidemics end.Centaurus; international magazine of the history of science and medicine · 2021
    Article
  9. Plague Transmission from Corpses and Carcasses.Emerging infectious diseases · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Epidemiology of Plague: Problems with the Use of Mathematical Epidemiological Models in Plague Research and the Question of Transmission by Human Fleas and Lice.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2019
    Review
  18. Article
  19. Review
  20. Human ectoparasites and the spread of plague in Europe during the Second Pandemic.Proceedings of the National Academy of Sciences of the United States of America · 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

2 authors.

Lilith K WhittlesDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK x.didelot@imperial.ac.uk.ORCID 0000-0003-1885-500X

Funding

Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

Plague, caused by the bacterium Yersinia pestis, is one of the deadliest infectious diseases in human history, and still causes worrying outbreaks in Africa and South America. Despite the historical and current importance of plague, several questions remain unanswered concerning its transmission routes and infection risk factors. The plague outbreak that started in September 1665 in the Derbyshire village of Eyam claimed 257 lives over 14 months, wiping out entire families. Since previous attempts at modelling the Eyam plague, new data have been unearthed from parish records revealing a much more complete record of the disease. Using a stochastic compartmental model and Bayesian analytical methods, we found that both rodent-to-human and human-to-human transmission played an important role in spreading the infection, and that they accounted, respectively, for a quarter and three-quarters of all infections, with a statistically significant seasonality effect. We also found that the force of infection was stronger for infectious individuals living in the same household compared with the rest of the village. Poverty significantly increased the risk of disease, whereas adulthood decreased the risk. These results on the Eyam outbreak contribute to the current debate on the relative importance of plague transmission routes.

Indexed as

AdolescentAdultAnimalsBayes TheoremDisease OutbreaksEnglandFemaleHistory, 17th CenturyHumansMaleModels, TheoreticalPlagueRodentiaSeasonsStochastic ProcessesYersinia pestisBayesian analysisinterhuman transmissionMonte Carlo Markov chainplaguerodent reservoirtwo-level mixing model

Identifiers

PMID27170724
PMCPMC4874723

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.