Evidence map›Paper›PMID 33082432›Full record

ArticleScientific reports2020

A digital reconstruction of the 1630-1631 large plague outbreak in Venice.

Gianrocco Lazzari, Giovanni Colavizza, Fabio Bortoluzzi, Davide Drago, Andrea Erboso, Francesca Zugno, Frédéric Kaplan, Marcel Salathé

Open access · goldAbstract readHistorical Article
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

8 authors at 2 institutions in 2 countries.

Gianrocco LazzariDigital Epidemiology Laboratory, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. gianrocco.lazzari@epfl.ch.
Giovanni ColavizzaInstitute for Logic, Language and Computation (ILLC), University of Amsterdam, Amsterdam, The Netherlands. g.colavizza@uva.nl.
Fabio BortoluzziDigital Humanities Laboratory, College of Humanities, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Davide DragoDigital Humanities Laboratory, College of Humanities, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Andrea ErbosoDigital Humanities Laboratory, College of Humanities, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Francesca ZugnoDigital Humanities Laboratory, College of Humanities, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Frédéric KaplanDigital Humanities Laboratory, College of Humanities, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Marcel SalathéDigital Epidemiology Laboratory, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CHUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plague, an infectious disease caused by the bacterium Yersinia pestis, is widely considered to be responsible for the most devastating and deadly pandemics in human history. Starting with the infamous Black Death, plague outbreaks are estimated to have killed around 100 million people over multiple centuries, with local mortality rates as high as 60%. However, detailed pictures of the disease dynamics of these outbreaks centuries ago remain scarce, mainly due to the lack of high-quality historical data in digital form. Here, we present an analysis of the 1630-1631 plague outbreak in the city of Venice, using newly collected daily death records. We identify the presence of a two-peak pattern, for which we present two possible explanations based on computational models of disease dynamics. Systematically digitized historical records like the ones presented here promise to enrich our understanding of historical phenomena of enduring importance. This work contributes to the recently renewed interdisciplinary foray into the epidemiological and societal impact of pre-modern epidemics.

Indexed as

Disease OutbreaksHistory, 17th CenturyHumansItalyPlagueYersinia pestis

Identifiers

PMID33082432
PMCPMC7576796
OpenAlexW3094267677

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.