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or how should we call it, so others examing it like me will find it with google ?
1974-1976 decreasing deaths (most in 1975) i.e. summer deaths in the white elderly in USA
almost all states except WV and some others, but maybe not sigificant due to fewer records.
seems that statcan http://www.statcan.gc.ca
doesn't want people like me to examine questions like this.
Seems also that they only have data since 1991.
So, in general, I think that Canadians should resort to the
better and free USA-data which should cover similar populations.
you have to wonder anyway, how someone can claim
copyright on statistical data - just numbers
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Human Mortality Database. University of California, Berkeley (USA),
and Max Planck Institute for Demographic Research (Germany).
Available at www.mortality.org or www.humanmortality.de
(data downloaded on 2010/11/20).
I wonder whether the MMWR 122-cities weekly P+I deaths
are considered wrt. ICD-10
-----------------------------------------
For example, in 1998, there were 2,897 deaths classified as influenza and pneumonia
using ICD-9 (ICD-9 codes: 480-487). However, changes in the classification and
coding of underlying causes of deaths using ICD-10 reduce the assignment of
influenza and pneumonia as an underlying cause of death. The comparability
ratio for influenza and pneumonia is 0.6982. Applying the comparability ratio
to the 1998 number yields 2,023 deaths that would have been classified as
influenza and pneumonia deaths in 1998, had the ICD-10 classification system
and coding rules been in place.
since 1959 , ICD-7
since 1969 , ICD-8
since 1979 , ICD-9 was published by the WHO in 1977
since 1999 , ICD-10 was completed in 1992
ICD-11 is planned for 2015
ICD7: 480-483:influenza , 490-493:pneumonia
ICD8: 470-474:influenza , 480-486:pneumonia
ICD9: 480-487:pneumonia and influenza
ICD10:J09-J18:influenza and pneumonia
Influenza was associated with an increase in MI-associated deaths and hospitalizations in 2 contrasting settings.
There was strong evidence for a link between influenza and Myocardial Infection both in
England/Wales ... and in Hong Kong (with usually 2 flu-peaks per season)
In two papers at this conference, we showed influenza to be the cause of - 70%
of seasonal variation in human mortality. (2001)
NL: This database covers approximately 98% of all hospitals in the ...
Only monthly mortality data could be used
AUS: Age-specific monthly mortality data was obtained for New Zealand and Australia. ...
Of the houses in the current HEEP database
HK:Here, we analyze monthly mortality data on 6 countries
SriLnka: Monthly mortality data from all causes of death, neoplasm, circulatory and
The MISMS database consists of monthly mortality data for several major disease
classes from about 10 countries
Rating of the best hostingCODEPerformanceSpecificationsRateVDS-USA-512CPU: E5-26XX, 1 Core x2.60 GHz Selecting RAM: 512 MBStorage Drive: 15 GB SSDBandwidth: 500 GB$2.5VDS-USA-1GCPU: E5-26XX, 1 Core x2.60 GHz Selecting RAM: […]
monthly mortality data from the Straits Settlements reports .... Singapore Naval Base a
Using monthly mortality data from the United Nations Databank
Registered monthly mortality data from 1986–1995 were obtained from the Irish
Virus surveillance data were obtained from the Annual Report of National .
For the period 1986-1995, monthly death numbers (total deaths and deaths from
cardiovascular diseases and respiratory diseases, as defined by the International
Classification of Diseases [ICD-9], among the general population and those 65 years
of age and older) were collected from the Australian Bureau of Statistics (ABS)
During the 1940s there were 7·44% more deaths in the first half than in the second
half of the year, but during the 1960s the difference was only 4·85%.
in 2001 and found that humidity was one of the most important factors
influencing average monthly death rates from heart attacks for people over 70
Background Influenza has been associated with a heavy burden of mortality. In tropical or subtropical regions where influenza viruses circulate in the community most of the year, it is possible that there are seasonal variations in the effects of influenza on mortality, because of periodic changes in environment and host factors as well as the frequent emergence of new antigenically drifted virus strains. In this paper we explored this seasonal effect of influenza. Methods A time-varying coefficient Poisson regression model was fitted to the weekly numbers of mortality of Hong Kong from 1996 to 2002. Excess risks associated with influenza were calculated to assess the seasonal effects of influenza. Results We demonstrated that the effects of influenza were higher in winter and late spring/early summer than other seasons. The two-peak pattern of seasonal effects of influenza was found for cardio-respiratory disease and sub-categories pneumonia and influenza, chronic obstructive pulmonary disease, cerebrovascular diseases and ischemic heart disease as well as for all-cause deaths. Conclusion The results provide insight into the possibility that seasonal factors may have impact on virulence of influenza besides their effects on virus transmission. The results warrant further studies into the mechanisms behind the seasonal effect of influenza.
interesting yearly double peaks !!
they had weekly death counts by cause from 1996 to 2002
but don't show the data
(Hong Kong census and statistics department)
while CDC made the data public
(with some restrictions in the last years : day (only month)
and location of death not given)
108,500 Deaths in the US in 2008; 36,700 in England and Wales Last Winter; 5,600 in Canada (2006); 7,000 in Australia (1997-2006 Average); Thousands in Other Developed Countries Indur M. Goklany Si…
1. Lends support to Deschênes and Moretti (2009) paper which estimates that migration
from the Colder Northeast to Southern areas of the U.S.is responsible for 8%-15% of the
total gains in life expectancy in the U.S. population from 1970 to 2000.
Deschênes, O., Moretti, E. 2009. Extreme Weather Events, Mortality, and Migration.
The Review of Economics and Statistics
Falagas, M.E., Karageorgopoulos, D.E., Moraitis, L.I., Vouloumanou, E.K., Roussos, N.,
Peppas, G., Rafailidis, P.I. 2009. Seasonality of mortality: the September phenomenon in
Mediterranean countries. Canadian Medical Association Journal 181: 484-6.
1974 was the oil crisis, in Jan. oil prices in USA rose to ~$11 from ~$3
the last year. Nixon imposed a speedlimit (in effect in Mar.1974)
and later a ban on fuel on every 2nd day. ~20% of stations had no fuel at all.
Maybe there were also airtravel-limitations, I don't know.
The sharp temporary declinel of influenza deaths in mid January 1974
is not seen in other seasons.
In total 1973/74 caused the fewest winter-excess deaths
since 1959, when US-death certificates are available online.
There is some chance however, that 2011/2012 will still
have fewer deaths, despite being a H3N2 season !
At least this should become the season with the fewest
winter excess deaths ever in any H3N2 season.
they did have a decline in deaths from cardiovascular disease
since 1975, (also in accidents and diabetes)
but also a decline before 1970 with a "delay of decline"
in 1971-1974 . So, was it a factor that caused the decline since 1975
or a factor that caused the delay 1971-1974 ?
Cerebrovascular diseases (stroke) would be particularly interesting,
here we had a large peak and reversal in 1974 in USA.
And Canada is big ... regions close to the US-border in the
South only would be interesting.
--
apparantly Ontario has yearly data
"Statistics Canada" , "Office of the Registrar General of Ontario"
population 1971-1976 , Revised Annual Estimates of Population, by Sex and Age for Canada
and the Provinces (cat no 91-518), Ministry of Industry, Trade and Commerce, Ottawa, 1979
Vallin and Mesle , 1996 , "correspondence tables for ICD - transitions"
statistics Canada , catalogues 84-206 (1970-1986)
Olshansky and Ault, 1986
Objective: Much debate remains regarding why certain countries experience dramatically higher winter mortality. Potential causative factors other than cold exposure have rarely been analysed. Comparatively less research exists on excess winter deaths in southern Europe. Multiple time series data on a variety of risk factors are analysed against seasonal-mortality patterns in 14 European countries to identify key relations
Subjects and setting: Excess winter deaths (all causes), 1988–97, EU-14.
Design: Coefficients of seasonal variation in mortality are calculated for EU-14 using monthly mortality data. Comparable, longitudinal datasets on risk factors pertaining to climate, macroeconomy, health care, lifestyle, socioeconomics, and housing were also obtained. Poisson regression identifies seasonality relations over time.
Results: Portugal suffers from the highest rates of excess winter mortality (28%, CI=25% to 31%) followed jointly by Spain (21%, CI=19% to 23%), and Ireland (21%, CI=18% to 24%). Cross country variations in mean winter environmental temperature (regression coefficient (β)=0.27), mean winter relative humidity (β=0.54), parity adjusted per capita national income (β=1.08), per capita health expenditure (β=−1.19), rates of income poverty (β=−0.47), inequality (β=0.97), deprivation (β=0.11), and fuel poverty (β=0.44), and several indicators of residential thermal standards are found to be significantly related to variations in relative excess winter mortality at the 5% level. The strong, positive relation with environmental temperature and strong negative relation with thermal efficiency indicate that housing standards in southern and western Europe play strong parts in such seasonality.
Conclusions: High seasonal mortality in southern and western Europe could be reduced through improved protection from the cold indoors, increased public spending on health care, and improved socioeconomic circumstances resulting in more equitable income distribution.
he examines the possible causes for excess winter mortality in 14 European countries.
in own chapters he examines:
Excess winter mortality and climate
Excess winter mortality and macroeconomic factors
Excess winter mortality and healthcare provision
Excess winter mortality and lifestyle risk factors
Excess winter mortality and socioeconomic factors
Excess winter mortality and household thermal efficiency
he didn't even mention influenza
28 Portugal
21 Ireland
21 Spain
18 Greece
18 UK
16 Italy
14 Austria
13 Belgium
13 France
12 Denmark
12 Luxembourg
11 Germany
11 Netherlands
10 Finland
the more South, the more excess winter mortality !
Inversely correlated with temperature
which he terms "the paradox of excess winter mortality”
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