About: Coupling between death spikes and birth troughs. Part 1: Evidence

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Coupling between death spikes and birth troughs. Part 1: Evidence Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Coupling between death spikes and birth troughs. Part 1: Evidence
Creator	Richmond, Peter Roehner, Bertrand
Source	Elsevier; Medline; PMC
abstract	Abstract In the wake of the influenza pandemic of 1889–1890 Jacques Bertillon, a pioneer of medical statistics, noticed that after the massive death spike there was a dip in birth numbers around 9 months later which was significantly larger than that which could be explained by the population change as a result of excess deaths. In addition it can be noticed that this dip was followed by a birth rebound a few months later. However having made this observation, Bertillon did not explore it further. Since that time the phenomenon was not revisited in spite of the fact that in the meanwhile there have been several new cases of massive death spikes. The aim here is to analyze these new cases to get a better understanding of this death–birth coupling phenomenon. The largest death spikes occurred in the wake of more recent influenza pandemics in 1918 and 1920, others were triggered by the 1923 earthquakes in Tokyo and the Twin Tower attack on September 11, 2001. We shall see that the first of these events indeed produced an extra dip in births whereas the 9/11 event did not. This disparity highlights the pivotal role of collateral sufferers. In the last section it is shown how the present coupling leads to predictions; it can explain in a unified way effects which so far have been studied separately, as for instance the impact on birth rates of heat waves. Thus, it appears that behind the apparent randomness of birth rate fluctuations there are in fact hidden explanatory factors.
has issue date	2018-09-15(xsd:dateTime)
bibo:doi	10.1016/j.physa.2018.04.044
bibo:pmid	32288105
has license	els-covid
sha1sum (hex)	61df7f40f7768c73817562e5c0878dcaa0b41f4b
schema:url	https://doi.org/10.1016/j.physa.2018.04.044
resource representing a document's title	Coupling between death spikes and birth troughs. Part 1: Evidence
has PubMed Central identifier	PMC7125919
has PubMed identifier	32288105
schema:publication	Physica A: Statistical Mechanics and its Applications
resource representing a document's body	covid:61df7f40f7768c73817562e5c0878dcaa0b41f4b#body_text
is schema:about of	named entity 'troughs' named entity 'arXiv' named entity '1922 and 1924' named entity 'Vienna' named entity 'influenza pandemic of 1918' named entity 'epidemic' named entity 'World Trade Center' named entity 'endocrine disruptions' named entity 'dichotomous' named entity 'death rate' named entity 'Severe Acute Respiratory Syndrome' named entity 'developed countries' named entity 'death rate' named entity 'Finland' named entity 'Einstein' named entity 'whooping cough' named entity 'population growth' named entity 'famine' named entity 'Tokyo' named entity 'Sweden' named entity 'famine' named entity 'New York' named entity 'Great Kanto Earthquake' named entity 'sexual intercourse' named entity '9/11' named entity 'Swedish' named entity '1.6' named entity 'Kushtagi' named entity 'time interval' named entity 'Paris' named entity 'Finland' named entity 'social factors' named entity 'birth rate' named entity 'assisted conception' named entity 'amenorrhea' named entity 'food scarcity' named entity 'birth rate' named entity 'Tokyo' named entity 'birth rate' named entity 'Italy' named entity 'Paris' named entity 'influenza pandemic of 1918' named entity 'influenza pandemic' named entity 'Sendai' named entity 'Texas' named entity 'influenza epidemic' named entity 'epidemic' named entity 'Albert Einstein' named entity 'famine' named entity 'Dirac delta distribution' named entity 'Yokohama' named entity 'SARS outbreak' named entity '9/11' named entity 'psychosomatic effects' named entity '9/11' named entity 'Kanto Region' named entity 'statistical records' named entity 'influenza epidemic of 1918' named entity 'birth rate' named entity 'Chile' named entity 'time interval' named entity 'impulse function' named entity 'May 1867' named entity 'menstrual period' named entity 'ovulation' named entity 'standard deviation' named entity 'Paris' named entity 'sexual intercourse' named entity 'population pyramid' named entity 'time interval' named entity '9/11' named entity 'time interval' named entity 'interpretation of quantum physics' named entity 'standard deviation' named entity 'death rate' named entity 'Jacques Bertillon' named entity 'impulse response' named entity 'New York City' named entity 'European populations' named entity 'missing person'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software