Literature DB >> 15488668

The Eyam plague revisited: did the village isolation change transmission from fleas to pulmonary?

E Massad1, F A B Coutinho, M N Burattini, L F Lopez.   

Abstract

Back in the 17th century the Derbyshire village of Eyam fell victim to the Black Death, which is thought to have arrived from London in some old clothes brought by a travelling tailor. The village population was 350 at the commencement of plague, of which only 83 survived. Led by the church leaders, the village community realized that the whole surrounding region was at risk from the epidemic, and therefore decided to seal themselves off from the other surrounding villages. In the first 275 days of the outbreak, transmission was predominantly from infected fleas to susceptible humans. From then onward, mortality sharply increased, which indicates a changing in transmission pattern. We hypothesize that the confinement facilitated the spread of the infection by increasing the contact rate through direct transmission among humans. This would be more consistent with pulmonary plague, a deadlier form of the disease. In order to test the above hypothesis we designed a mathematical model for plague dynamics, incorporating both the indirect (fleas-rats-humans) and direct (human-to-human) transmissions of the infection. Our results show remarkable agreement between data and the model, lending support to our hypotheses. The Eyam plague episode is celebrated as a remarkable act of collective self-sacrifice. However, to the best of our knowledge, there were no evidence before that the confinement actually increased the burden payed by the commoners. In the light of our results, it can be said that the hypothesis that confinement facilitated the spread of the infection by increasing the contact rate through direct transmission is plausible.

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Year:  2004        PMID: 15488668     DOI: 10.1016/j.mehy.2004.03.028

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  8 in total

1.  Magnitude and frequency variations of vector-borne infection outbreaks using the Ross-Macdonald model: explaining and predicting outbreaks of dengue fever.

Authors:  M Amaku; F Azevedo; M N Burattini; G E Coelho; F A B Coutinho; D Greenhalgh; L F Lopez; R S Motitsuki; A Wilder-Smith; E Massad
Journal:  Epidemiol Infect       Date:  2016-08-19       Impact factor: 4.434

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

Authors:  Lilith K Whittles; Xavier Didelot
Journal:  Proc Biol Sci       Date:  2016-05-11       Impact factor: 5.349

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Journal:  PLoS Biol       Date:  2015-10-16       Impact factor: 8.029

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Journal:  R Soc Open Sci       Date:  2022-01-05       Impact factor: 2.963

5.  Human ectoparasites and the spread of plague in Europe during the Second Pandemic.

Authors:  Katharine R Dean; Fabienne Krauer; Lars Walløe; Ole Christian Lingjærde; Barbara Bramanti; Nils Chr Stenseth; Boris V Schmid
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-16       Impact factor: 11.205

6.  A Note on the Risk of Infections Invading Unaffected Regions.

Authors:  Marcos Amaku; Francisco Antonio Bezerra Coutinho; Margaret Armstrong; Eduardo Massad
Journal:  Comput Math Methods Med       Date:  2018-07-04       Impact factor: 2.238

7.  Bi-logistic model for disease dynamics caused by Mycobacterium tuberculosis in Russia.

Authors:  Anastasia I Lavrova; Eugene B Postnikov; Olga A Manicheva; Boris I Vishnevsky
Journal:  R Soc Open Sci       Date:  2017-09-13       Impact factor: 2.963

8.  How England first managed a national infection crisis: Implementation of the Plague Orders of 1578 compared with COVID-19 Lockdown March to May 2020.

Authors:  Graeme Tobyn
Journal:  Soc Sci Humanit Open       Date:  2021-01-12
  8 in total

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