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  • #61
    Re: mortality statistics

    I spent many hours to find and collect these partial data

    put all the data in one database, uniform, computer readable
    allow download of the whole database and processing
    with offline tools

    I'm pretty sure, that's the best and most reasonable
    and probably the way how it will be in 100 years.

    but we still have copyrights, research funding and competion,
    political interests in statistical region-partitioning,
    secrecy,spying,economical interests in noninformation

    use not only death-certificates but also anonymized
    hospital records

    the genealogy companies probably have the best/biggest deaths-databases
    but they are not interested in heath-research.

    what costs one death certificate ? a doctor must examine it,
    fill the forms, then ,in USA, the city/county/state/national
    statistical departments, then usually as some individually
    designed time-series sold in some statistical yearbooks.

    Some countries also submit to WHO,UNO,PAHO,Eurostat,...
    who run their own databases with different groupings
    and provide access by different softwares and don't want you
    to download the whole database but rather selected tables.

    They want to be quoted in papers, presumably that gives them
    better chances of funding. They have complicated and lengthy
    access-limitations and even legal threats (wonder) to protect
    privacy of records.

    The whole system is ineffective and restricts the final
    processing where all the troublesome collected data is gathered
    and processed and uniformized, adapted, stored, provided.

    USA 1900-1960 see also rat1918h.gif : increase of US-cardiovascular deathrates in people >45y
    from 1920 to 1940 then almost staying at that level until 1960
    and decline of US-respiratory deathrates 1930-1950

    jpnc0.gif for Japan, 1900-2000, 12 causes

    CVD and COPD charts :
    Learn what heart, lung, blood, and sleep research is happening at the NHLBI and beyond to aid in the prevention and treatment of diseases.

    Read and download the frequently asked questions about coronary artery disease and the questions to ask your doctor to know which treatment option is right for you: medicine, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) surgery.
    Attached Files
    I'm interested in expert panflu damage estimates
    my current links: ILI-charts:


    • #62
      Re: mortality statistics

      The rates are generally lowest in France in all groups, as previously observed.15
      high rates, e.g. Indian and Pakistani born, and Eastern European born,4
      low rates, e.g. the Chinese

      the rates vary in some country of birth groups across countries,
      indicating that either
      (i) information systems differ, creating artefacts or
      (ii) country-specific context may be important to disease outcome or
      (iii) that differences existed between the same country of birth groups
      in differing countries in social circumstances prior to migration.

      Notably, while people born outside France, except the Chinese immigrants,
      have higher circulatory disease mortality than the France born, their rates
      were lower than in their counterparts in other countries.

      do variations relate to socio-economic position, cardiovascular risk factors etc.
      European data sets are not yet ready to answer such questions,

      French (North–South/Mediterranean) Paradox

      suggests that disease outcomes may be influenced by the local context, whether
      this is health care, diagnostic methods and coding, availability of data in
      surveillance systems, social and economic standing, stress, lifestyle,
      migration history, social circumstances and health prior to
      migration or other environmental factors. These variations are
      extremely unlikely to be genetic.

      This has led to the phrase ‘the French paradox’.29
      the French paradox seemingly applies to people born outside France but
      living there.

      NI-HON-SAN Study of Japanese in Japan, Honolulu and San
      Francisco.8It demonstrated convergence of cardiovascular risks
      and risk factors among migrants, and showed the protection
      against such diseases by maintenance of traditional behaviours
      rather than rapid acculturation

      8 Marmot MG, Syme SL, Kagan A, et al. Epidemiologic studies of coronary heart
      disease and stroke in Japanese men living in Japan, Hawaii and California:
      prevalence of coronary and hypertensive heart disease and associated risk factors.
      Am J Epidemiol 1975;102:514–25.

      15 Mu¨ller-Nordhorn J, Binting S, Roll S, Willich SN. An update on regional variation
      in cardiovascular mortality within Europe. Eur Heart J 2008;29:1316–26.

      [ no mentioning of Quebec ]

      The French paradox concept was formulated by French epidemiologists3 in the 1980s

      2. Artaud-Wild SM, Connor SL, Sexton G, et al. Differences in coronary mortality can be
      explained by differences in cholesterol and saturated fat intakes in 40 countries but not
      in France and Finland. A paradox. Circulation 1993;88:2771–9.
      France and Finland have similar intakes of cholesterol and saturated fat, but consumption
      of vegetables and vegetable oil containing monounsaturated and polyunsaturated fatty acids
      is greater in France than in Finland. [PubMed]

      cheese ?


      1940,que,all,32799,7365,568,447,692,842,926,850,89 8,1031,1187,1495,1849,2135,2512,2871,2788,2347,199 4
      1940,que,can, 3831, 16, 9, 5, 26, 20, 52, 71, 93, 179, 231, 330, 413, 501, 546, 510, 453, 236, 140
      1940,que,dia, 538, 6, 1, 4, 7, 7, 8, 12, 6, 15, 16, 34, 62, 80, 93, 85, 56, 38, 8
      1940,que,cer, 448, 0, 1, 2, 1, 4, 3, 1, 4, 6, 12, 24, 23, 37, 51, 77, 74, 72, 56
      1940,que,cir, 7139, 19, 19, 23, 37, 48, 65, 82,117, 188, 298, 407, 553, 637, 833,1023,1048, 948, 794
      1940,ont,all,38503,3567,326,317,490,540,587,667,89 5,1047,1398,2095,2657,3244,3924,4582,4871,3982,329 9
      1940,ont,can, 5127, 15, 6, 11, 24, 20, 26, 69,121, 206, 309, 475, 582, 612, 697, 721, 623, 402, 206
      1940,ont,dia, 691, 0, 0, 4, 5, 5, 8, 4, 3, 8, 25, 39, 60, 93, 129, 111, 118, 60, 19
      1940,ont,cer, 901, 0, 0, 1, 4, 4, 3, 6, 9, 15, 28, 44, 67, 90, 110, 141, 159, 118, 102
      1940,ont,cir,14497, 8, 13, 12, 31, 39, 57, 81,139, 237, 404, 704, 992,1418,1759,2207,2521,2095,1775

      year,province,condition, deaths by age >=0,0-4,5-9,...,80-84,>84

      1950,cdn,3842,1695,4374,3861,3377,2870,4704,3929,3 745,3641,4235
      1960,cdn,4965,3854,5411,5156,4989,4404,5407,5022,4 851,4503,5280
      1970,cdn,4961,4754,5517,5103,5219,4723,5218,4944,5 031,4479,4885

      year,cdn,cdn_,nfld,pei_,ns__,nb__,que_,ont_,mani,s ask,alta,bc__

      % of deaths from cardiovascular causes ,

      ================================================== =======
      more sources for CVD-deaths subsumed to the keyword Quebec here
      association between poor living standards and ischemic heart disease
      by a detailed geographical comparison of infant mortality in 1920-1939
      and death in adults from ischemic; heart disease and other leading causes
      in 1990-1994. Ischemic heart disease [r = 0.325] and malignant tumors
      of digestive apparatus [r = 0.562] are strongly correlated with infant mortality.
      A significant difference was observed in both infant and overall mortality rates
      between the western and eastern counties. Our results suggest that the
      geographical distribution of ischemic heart disease in Hungary reflects later
      dietary influences.

      or antibodies
      or organic changes
      [in Sweden] at age 50, we found a significant inverse association of education
      with cholesterol level, LDL/HDL ratio and ApoB/ApoA1 ratio. Cholesterol was
      also associated with occupational class, statistically significant after adjustment
      for all covariates. At age 70, no significant associations were found between either
      measurement of SEP and any of the biomarkers studied. Highest educated men
      had decreased risk for CVD mortality during follow-up.
      Long-term wine consumption is related to cardiovascular mortality and life
      expectancy independently of moderate alcohol intake: the Zutphen Study.
      35846 people born 1920-1959 with mortality follow-up 1961-2005.
      630 died from CHD , inverse association of head circumference with deaths
      from CHD (Ptrend = 0.010). The association was modified by maternal height
      (Pinteraction = 0.01) and by adult body mass (Pinteraction = 0.05).
      People in the lowest third of head circumference, who had a tall mother or a
      high body mass index in adulthood, were at the highest risk of death from CHD.
      Head circumference at birth was inversely associated with deaths from CHD,
      and the combination of small head and tall mother, or small head and high
      adult body mass, was associated with the highest risk. These findings suggest
      that combined effects of genetic factors (growth potential and intrauterine growth)
      and non-genetic factors acting throughout the life course (intrauterine growth
      restriction and later weight gain) could mediate the effects of birth size on adult heart disease.
      Dietary fiber intake in relation to coronary heart disease and all-cause mortality
      over 40 y: the Zutphen Study.
      Long-term fish consumption and n-3 fatty acid intake in relation to (sudden)
      coronary heart disease death: the Zutphen study.
      15.[Sex mortality differences in Denmark 1840-2005. Women live longer than men,
      but great changes during the last 50 years].
      Cohort patterns in mortality trends among the elderly in seven European countries, 1950-99.
      METHODS: A standard age-period-cohort analysis was applied to all-cause and
      cause-specific mortality data by 5-year age groups and sex, for Denmark, England
      and Wales, Finland, France, The Netherlands, Norway, and Sweden, in the period 1950-99.
      RESULTS: Cohort patterns were identified in all countries, for both the sexes and virtually
      all causes of death. They strongly influenced the trends in all-cause mortality among
      Danish, Dutch, and Norwegian men, and the trends in mortality from infectious diseases,
      lung cancer (men only), prostate cancer, breast cancer, and chronic obstructive pulmonary
      disease (COPD). All-cause mortality decline stagnated among Danish, Dutch, and
      Norwegian male birth cohorts born between 1890 and 1915, among French men born
      after 1920, and among women from all countries born after 1920. Where all-cause mortality
      decline stagnated, cohort patterns in mortality from lung cancer, COPD, and to a lesser
      extent ischaemic heart diseases, were unfavourable as well. For infectious diseases,
      stomach cancer, and cerebrovascular diseases, mortality increased among cohorts
      born before 1890, and decreased strongly thereafter.
      CONCLUSIONS: Cohort effects related to factors such as living conditions in childhood
      and smoking in adulthood were important in determining the recent trends in mortality
      among the elderly in seven European countries.
      substantial genetic influence on individual frailty associated with mortality caused by CHD.
      Height is not associated with long-term survival after acute myocardial infarction.
      Both a previous aptitude for endurance athletic events and continuity of vigorous physical
      activity seem to be associated with protection against coronary heart disease, but an
      aptitude for power speed events does not give protection against coronary heart disease.
      [in Sweden] Birth weight showed a specific, inverse association with mortality from circulatory
      diseases: the rate ratio was 0.67 (95% confidence interval 0.50 to 0.89) per 1000 g increase
      in birth weigh
      former aerobic sports athletes (endurance and mixed sports) in particular have high total
      and active life expectancy and low risk for ischemic heart disease and diabetes in later years.
      Low weight at 1 year is associated with concentric enlargement of the left ventricle in adult life.
      Left ventricular mass was not related to birth weight
      higher mortality from cardiovascular disease in men of low weight at 1 year
      [in England] Men who had been bottle fed also had a high standardised mortality ratio for
      ischaemic heart disease (95; 68 to 130) and high mean serum concentrations of total
      cholesterol (7.0 mmol/l), low density lipoprotein cholesterol (5.1 mmol/l), and apolipoprotein
      B (1.14 g/l). In all feeding groups serum apolipoprotein B concentrations were lower in men
      with higher birth weight and weight at 1 year.
      ncreased risk of death from ischaemic heart disease in
      men who had been breast fed and not weaned at one
      year (standardised mortality ratio 97) compared with
      those who were weaned at one year (SMR 79) and
      those who had been breast and bottle fed (SMR 73).5
      y, was caused by a change in food processing that occurred after 1920,
      when the new oil seed industry introduced into our food three greatly harmful lipid substances.
      The unnatural trans-trans isomer of linoleic acid, which had never been in human food prior
      to 1920 and which entered our food in margarines and refined oils, blocked the conversion
      of natural cis-cis linoleic acid to prostaglandin E1, which tends to prevent MI, both by acting
      as a vasodilator and by minimizing platelet aggregation. Harmful lactones were also introduced
      into our food, increasing the risk of MI by decreasing the fibrinolytic activity of our blood.
      The oil seed industry also introduced into our diet free radical lipid peroxides that
      Attached Files
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      • #63
        Re: mortality statistics

        we need a standard vital statistics data table format

        so data-series from several databases - or just several data-series from the same database -
        can be merged and compared and read into the computer
        so to be analized , to make charts from it, to do statistical calculations
        and comparisons.

        This formatting is a typical procedure in programming and proved useful,
        e,g, image-formats, editing formats, compression formats etc. .
        Typically a file-ending is assigned to such a format, (.txt,.gif,.zip,...)

        It's clear to me, that this is the way to go and what will probably
        finally be done.
        Currently the countries,universities,organisations,databases,
        research groups have their own, incompatible formats.

        currently I'm doing French data and came up with this system:


        7:total number of header-specifications minus 4
        4:number of entries per line, specified by the last 4 strings in the header
        1950 name of the first line (typically year)
        1999 name of the last line (typically year, but any number works, as long
        as the difference is the number of lines in the dataset)
        fra:France (geographical region)
        cir: deaths from circulatory causes
        #:total number of deaths
        dr:deathrate (deaths/population*100000)
        aa:age-adjusted deathrate (several methods, to be specified later by
        additional letters. Age-weighted deathrate by assuming a fixed population


        something like this. It is read by (in old GWBASIC) (6 such tables in file fra12)
        3 M=6IM A(M,49,23),N(M,4),N$(M,28)
        10 OPEN "i",2,"fra12":FOR F=1 TO M:FOR I=1 TO 4:INPUT#2,N(F,I):PRINT N(F,I);:NEXT:PRINT:
        12 FOR I=1 TO N(F,1):INPUT#2,N$(F,I):NEXT:FOR Y=0 TO N(F,4)-N(F,3):FOR I=1 TO N(F,2):
        14 INPUT#2,A(F,Y,I):NEXT I,Y,F:CLOSE

        also for population data, births etc. , even non-vital-statistics tables

        something like this is urgently needed (IMO)
        WHO or UNO should do it ...
        like they did the ICD-disease classifications, but unfortunately
        they have no conversion programs to convert the several ICDs
        (a new ICD comes ~ all 10 years) into others

        once we have this, it would be easy to write a program that makes
        the charts from such a file, with the specified parameters,size,color
        - easy for everyone, even nonprogrammers

        fra12a.gif: the French decline -maybe corresponding to the
        1974-1976 US-death-decline-mystery - happened in 1976-1977,
        best seeable in the French male 75-89 year deathrate from
        circulatory causes

        mark: Maladies de l'appareil circulatoire
        click: valider
        mark: the wanted parameters
        click: soumettre la requete
        convert: into computer-readable form

        L’Institut national de la statistique et des études économiques collecte, produit, analyse et diffuse des informations sur l’économie et la société françaises

        L’Institut national de la statistique et des études économiques collecte, produit, analyse et diffuse des informations sur l’économie et la société françaises


        hmm, it's called "spreadsheet" in English.

        I should probably have known that ;-)

        well, it's not really a computer application but rather an agreement
        on one simple standard and new file-extension acronym (.vit , .dem ?) -
        suitable to be easily created,maintained,extended,merged
        with any text-editor and then easily loaded and processed by whatever programs.
        Attached Files
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        • #64
          Re: mortality statistics

          Minnesota had been amazingly successful (or lucky ?) to reduce cardiovascular deaths,
          especially since ~1990.

          A recent analysis attributed roughly 50% of the decline in mortality from heart disease
          that took place between 1980 and 2000 to improved medical treatment and approximately
          50% to improvements in risk factors.3

          3. Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in U.S. deaths from
          coronary disease, 1980-2000. N Engl J Med. 2007;356(23):2388-98


          Maine since 1990
          Nebraska since 1998
          Oregon since 1985
          Colorado since 1980

          Vermont since 1987
          Massachusetts since 1988
          Idaho since 1985
          Kansas since 1990
          New Hampshire since 2003
          Montana since 1985
          Connecticut since 2000
          South Dakota since 1990
          North Carolina since 1995
          Utah since 1980


          New York did especially bad since 1975


          [picture heamf2.gif]

          regional clusters suggest, that it's not just political,
          better health care, nutrition programs,

          MN, New England are exactly those states with big
          "October-dealay" of deaths, making me speculate about an infection
          related cause. But New York also had the October-delay
          and they are on the other end of US-cardio-deaths.

          Mexicans, as well as people in France,Spain,Quebec traditionally
          had fewer cardiovascular deaths than people of English,Irish,
          German origin. This was well seen in ~1950 when cardio deaths
          peaked and countermeasures started to increase a lot.
          This may explain low rates in NM,UT,CO,AZ,NV in the 60s,
          but (relatively) increasing since then.


          In England and Massachusetts cardio deaths were low in 1850,
          at ~3% of all deaths and then continually increased until
          1950 with a little pause 1890-1920.
          Increasing age contributed, but cannot explain this alone.
          (compare with cancer deaths)


          genetical factors were suggested in some recent papers:
          (but denied in others)


          Olmsted , smoking--cv-deaths ?

          not convincing, small reduction in smoking incidence 2006-2007

          compare with whole MN,USA,Ontario
          ~ 24600 overall deaths in New York State each year can be attributed to tobacco use.
          [out of ~146000 = 16.8% ]


          usisc00 : map of USA with States in grey depending on the amount
          of heart-deaths
          program usamap2.c , data from 1900-40.pdf

          I was surprised about the charts that I saw here:

          they show no increase in the English cardiovascular deathrate 1876-1890
          Attached Files
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          • #65
            Re: mortality statistics

            Diarrhea and other common infections are usually minor in a fully breastfed infant
            PRIOR TO ABOUT 1880 MOST BABIES WERE NURSED either by their mothers or wet nurses.
            All of these factors increase the incidence of what has become known as "bottle-baby disease"--
            a combination of diarrhea, dehydration, and malnutrition resulting from unsafe bottle-feeding.
            According to the United Nations Children's Fund (UNICEF) one and a half million babies die
            each year because they are not breastfed.

            The medical community has orchestrated breastfeeding campaigns in response to low breastfeeding
            rates twice in US history. The first campaigns occurred in the early 20th century after reformers linked
            diarrhea, which caused the majority of infant deaths, to the use of cows? milk as an infant food.
            By the late 1920s, with laws in most municipalities mandating the pasteurization and hygienic
            handling of cows? milk, the urban breastfeeding campaign disappeared.

            Milk as nutrition, as the essence of motherhood, as white symbol of purity and as icon of commercial advertising: all are familiar. But what about milk as harbinger of death? My contribution to thi...

            The two foremost causes of milk-related deaths amongst infants were tuberculosis and diarrhoea.
            Milk was the medium of transmission from diseased cattle to unwitting consumers that led to
            approximately 500,000 deaths amongst infants in the period 1850-1950, and up to 30 per cent
            of all deaths from tuberculosis before 1930 (Atkins 2000a).
            The hazard was only brought under control gradually as milk was increasingly pasteurized
            in the 1930s and 1940s (Atkins 2000b)
            From about 1900 there was a reaction to this trend.

            It seems that breast-feeding rates in Britain were higher than in many continental countries
            throughout the period 1880-1940.


            [charts : infant deaths from diarrhae in Scotland 1855-1950
            England and Wales, 1838-1899
            Massachusetts 1841-1920
            USA 1900-2010

            About 1.7 to 5 billion cases of diarrhea occur per year.[2][3]
            rotavirus is the most common cause in children under five years old.[15]

            Massachusetts, yearly deaths <2y from Diarrhea
            3303,2916,2786,2597,2508, 2532,2391,2502,2646,1493,1667
            diarrhae         1851: 84 , 1861:190 , 1871:189 , 1881:333 , 1891:408 , 1901:2705
            dysentery        1851:123 , 1861:348 , 1871:227 , 1881:159 , 1891: 76 , 1901:-
            cholera infantum 1851:383 , 1861:1266, 1871:1718, 1881:1861, 1891:2771, 1901:-
            Attached Files
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            • #66
              Re: mortality statistics

              2011 available (at last) , more later

              pdf-file with tables:

              2519842 deaths in USA in 2011, (including 4384 foreigners)

              1261876 female, 1257966 male

              total,respiratory,circulatory deaths in the 12 months

              seems that the downtrend in circulatory deaths since ~2003 has stopped
              well, it's not seen yet in 2011/2012 in other countries
              Attached Files
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              • #67
                Re: mortality statistics

                "Hispanics paradox"
                These results confirm the existence of a Hispanic paradox regarding CV mortality. Further studies are needed to identify the mechanisms mediating this protective CV effect in Hispanics.

                Hispanics, the largest minority in the U.S., have a higher prevalence of several cardiovascular
                (CV) risk factors than non-Hispanic whites (NHW). However, some studies have shown a
                paradoxical lower rate of CV events among Hispanics than NHW.
                22,340,554 Hispanics and 88,824,618 NHW, collected from 1950 to 2009.
                There was a statistically significant association between Hispanic ethnicity and lower CV mortality
                (OR 0.67), and lower all-cause mortality (0.72).
                I'm interested in expert panflu damage estimates
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                • #68
                  Re: mortality statistics

                  [link dead]

                  The United Nations agency working to promote health, keep the world safe and serve the vulnerable.

                  (tables by cause,7 agegroups,selected countries, since 1979)
                  WHO Mortality Database Updated as of March 2012 ----edit-----Updated as of July 2014--------

                  WHO-Europe causes of death with subnational regions, since 1980 :

                  the WHO online mortality database had been updated in July 2014.
                  It now has cause-of-deaths numbers for 2011 and 2012 from
                  Armenia,Bulgaria,Croatia,Czechia,Estonia,Germany,H ungary,
                  Kazakhstan,Latvia,Norway,Moldova,Serbia,Seychelles , and Ukraine

                  the down-trend in deaths from cardiovascular
                  causes continues through 2012 in Germany.

                  [ There were some signs lately that it might have
                  stopped in USA and could be going up again ...]

                  the OECD database has 2012 data for
                  Austria,Czech,Denmark,Estonia,Finland,Germany,**** ary,Korea,Luxemburg,
                  Mexico,Netherlands,Norway,Poland,Portugal,Spain,Sw eden

                  the average age standardized death rate for circulatory causes in these 16 countries
                  for 2009-2012 went: 327.8,318.9,302.4,298.8 (slowing down in 2012)


                  Germany , SDR = standardized death rate (assuming age-distribution as of
                  SDR(45-59), All causes, per 100000
                  SDR(60-74), All causes, per 100000
                  SDR(75+), All causes, per 100000
                  SDR(45-59), Diseases of the circulatory system, per 100000
                  SDR(60-74), Diseases of the circulatory system, per 100000
                  SDR(75+), Diseases of the circulatory system, per 100000

                  1990 594.48 2118.17 10214.6 169.46 919.52 6180.51
                  1991 583.04 2081.24 9971.72 164.95 891.45 6035.26
                  1992 564.55 2017.83 9547.74 154.66 850.88 5717.26
                  1993 558.31 2039.56 9570.97 149.77 850.70 5694.84
                  1994 544.62 2006.75 9224.18 145.63 826.79 5432.48
                  1995 530.73 1973.53 9076.30 139.95 810.97 5305.16
                  1996 521.70 1933.27 8982.11 134.58 776.92 5225.85
                  1997 504.72 1855.74 8687.21 130.08 745.19 5063.75
                  1998 487.41 1804.61 8622.19 125.73 716.36 5002.07
                  1999 476.70 1752.89 8463.85 119.69 681.16 4900.63
                  2000 472.73 1706.48 8220.10 114.68 636.28 4698.90
                  2001 465.62 1643.02 8056.97 114.74 605.53 4632.79
                  2002 464.05 1625.79 8235.69 112.91 588.90 4686.93
                  2003 457.94 1608.55 8442.67 109.54 573.41 4778.15
                  2004 438.52 1520.44 7956.24 103.02 518.66 4380.05
                  2005 433.67 1482.03 7936.56 102.01 488.18 4266.78
                  2006 422.97 1426.82 7602.93 098.23 456.67 4011.52
                  2007 414.81 1400.37 7456.68 097.05 437.82 3885.86
                  2008 409.48 1389.81 7478.62 090.37 413.00 3792.63
                  2009 406.24 1369.88 7401.14 089.43 399.83 3688.34
                  2010 397.85 1352.92 7247.44 086.31 381.82 3551.32
                  2011 389.06 1326.34 6989.33 080.17 358.98 3354.65
                  2012 376.88 1318.54 7018.00 078.50 356.42 3339.16

                  ================================================== ==

                  OECD, 35 countries , 23 of them since 1960
                  deathrates by causes , polulations

                  temporary links, delete later
         - Data Pages


                  by topic


                  The page you requested has been either deleted or archived

                  health - causes of death

                  This dataset includes comparative tables analyzing various health care resources such as total health and social employment, physicians by age, gender, categories, midwives, nurses, caring personnel, personal care workers, dentists, pharmacists ...

                  OECD Health Statistics offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of...

                  .................................................. ................

                  190 "variables" death-conditions etc, 27 "units" (sexes,),41 countries, 54 years (1960-2013) = 11357820 entries
                  you may download files of 1000000 entries

                  OECD populations, deaths from all causes available since 1950 at :
                  Attached Files
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                  • #69
                    Re: mortality statistics

                    2012 is available from NCHS

                    96.2 MB for the .zip with the whole data for 2012
                    ... downloading ... decompressing .... converting ....
                    [error - I continue tomorrow] ... corrected ... conversion done ... updating charts ...

                    here is a pdf with just the important numbers:

                    2547865 records up from 2519843

                    the trendchange in cardiovascular deaths has stabilized. The decline has stopped in 2010


                    the downtrend in deaths from circulatory causes has also stopped or slowed in 2012
                    in Armenia,Estonia,Germany,Norway

                    [UNO also has already Mexico,Argentina,Korea,Denmark,Spain,Sweden,Poland ,Romania,Netherlands,Finland
                    for 2012]
                    Attached Files
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                    • #70
                      WHO also provides the raw data from their database !:
                      " difficult to find from the navigation."

                      227 countries, 29 agegroups, 2 sexes, 1950-2012,

                      many holes ,
                      4.2M lines country+year+table+cause+sex ,
                      each line upto 29 agegroups, depending on the list
                      (also non-uniform)

                      ICD 7, 1950-1967 , 150 causes "07A"
                      ICD 8 , 1968-1979 , 150 causes "08A"
                      ICD 9 , 1980-1998 , 150 cause "09A,09B"
                      ICD 10 , 1999- , 2600 cause "103" cause (3-digit) but most countries also have 4-digit "104"

                      bad data - different countries use different lists for disease encoding
                      and the lists change over time, entries are double counted ... 3digit and 4digit

                      needs to be processed, converted, missing values estimated
                      I found noone in those papers below who seemed to have done that


                      studies using that link:

                      I'm interested in expert panflu damage estimates
                      my current links: ILI-charts:


                      • #71
                        US-deaths decreasing ?

                        US-deaths decreasing ?

                        quarterly provisional mortality data USA :

                        ----------2016/08/18 --------2016-Q1 , 2016-Q2*-------
                        12month,all: 823.6,835.4,839.9,844.1,838.2,834.9
                        12month,all: 823.7,838.0,843.0,847.4,844.0,837.0,836.1*
                        Age-adjusted:724.6,733.5,736.4,738.6,733.1,723.6,720.2 *



                        P_I - ratio is also decreasing :

                        is it real or due to reporting habits/definitions ?

                        quarterly provisional mortality data USA :

                        ----------2016/08/18 --------2016-Q1 , 2016-Q2*-------
                        12month,all: 823.6,835.4,839.9,844.1,838.2,834.9
                        12month,all: 823.7,838.0,843.0,847.4,844.0,837.0,836.1*
                        Age-adjusted:724.6,733.5,736.4,738.6,733.1,723.6,720.2 *



                        P_I - ratio is also decreasing :

                        is it real or due to reporting habits/definitions ?

                        I'm interested in expert panflu damage estimates
                        my current links: ILI-charts:


                        • #72
                          Well, I have noticed in the last few years that some US statistics are not 100% correct. For instance today the unemployment rate is published as 4.6 % link - which is full employment. That means anyone who wants a job in the US can certainly get one. But, in reality, can they?

                          The unemployment rate does not account for the decrease in the ratio of the number of people participating in the labor force. In fact, the number of people who are in the labor force dropped by .1% last month to 62.7. link This roughly equates to 226,000 less people working in November than in October 2016. link

                          In my opinion, the US stats, generally, are in the "interesting" category. We publish them here as a baseline and not for 100% factual representation.


                          • #73
                            When information is disseminated for effect rather than for education.
                            The term was popularised in United States by Mark Twain (among others), who attributed it to the British Prime Minister Benjamin Disraeli: "There are three kinds of lies: lies, damned lies, and statistics."


                            • #74
                              Exactly. This also why I am really irritated by the issue of "fake" news. Isn't the unemployment rate calculated and published by the US Department of Labor really "fake news" since it does not give an accurate calculation of the employment situation in the US? Why are all of main stream media pushing this rate? This rate should be explained by media AS PART of the picture of the employment situation in the US. Yet, mostly it is not explained in this fashion. Why? Because the government publishes this number as an accurate measure and therefore, it is "real"?

                              FluTrackers has always promoted the idea that people should use at least 2 sources for their news. Be critical. Always question.

                              Look behind the curtain.


                              • #75
                                FluTrackers has been very conscientious, diligent in seeking published information, from all public sources while avoiding Editorial added content for all the years that I have been reading here.

                                Medical practitioners, Scientists, and people on the ground, in place to give their perspective of what is going on around them, all gathered here for any one who cares to make the effort to read.

                                I read here nearly every day.

                                Thank you!