Document Detail


Regional, temporal, and seasonal variations in births and deaths: the effects of famines.
MedLine Citation:
PMID:  12194449     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A knowledge of the seasonal variation in births and deaths during normal years is important for analyses of the effects of wars, famines, epidemics or similar privations on these two variables. In studies of seasonality, multiple trigonometric regression models are more flexible than the simple sine curve. The seasonal variation in mortality in Iceland, 1856-1990, shows a strong secular decrease, and a connection between this and the epidemiological transition is considered. As a consequence of the severe famine in Finland in 1867-68, the mortality for the whole year 1868 was almost four times as high as during normal years, and the seasonality of the mortality was even more accentuated. The birth rate in Finland during 1868 was about 70 percent of that during normal years and showed an aberrant seasonality, with a strong trough from October 1868 to February 1869 (fewer conceptions between January and May 1868, when the food shortage was severe).
Authors:
J Fellman; A W Eriksson
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Publication Detail:
Type:  Historical Article; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Social biology     Volume:  48     ISSN:  0037-766X     ISO Abbreviation:  Soc Biol     Publication Date:    2001 Spring-Summer
Date Detail:
Created Date:  2002-08-26     Completed Date:  2002-09-19     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0205621     Medline TA:  Soc Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  86-104     Citation Subset:  IM    
Affiliation:
Folkhälsan Institute of Genetics, Population Genetics Unit, POB 211, FIN-00251 Helsinki, Finland. johan.fellman@shh.fi
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MeSH Terms
Descriptor/Qualifier:
Birth Rate* / trends
Europe / epidemiology
Health Transition
History, 18th Century
History, 19th Century
History, 20th Century
Humans
Mortality* / trends
Regression Analysis
Seasons*
Starvation / epidemiology,  history*,  mortality

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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