The Great Famine: Population Losses in Ukraine

У статті представлено нові розрахунки втрат внаслідок голодомору 1932–1933 рр. напідставі даних переписів 1926 та 1939 рр. і даних поточної статистики природного руху населення. Застосовано метод перспективного розрахунку від перепису 1926 року на базі коефіцієнтів народжуваності, смертності й міграції, які мали б місце за відсутності кризи та порівняння отриманого результату з даними перепису 1939 року.В статье представлен новый расчет потерь вследствие катастрофического голода 1932–1933 гг. на основании данных переписей населения 1926 и 1939 гг. Применен метод перспективного расчета от переписи 1926 года на основе коэффициентов рождаемости, смертности и миграции, которые имели бы место в отсутствие кризиса и сравнения полученного результата с данными переписи 1939 года.The new estimates for the Great Ukrainian Famine of 1932–33 “Holodomor” losses are given on the basis of census data 1926 and 1939 and vital statistics. The approach of projecting the 1926 population until 1939 on the basis of fertility, mortality and migration rates that would have prevailed without crisis, and comparing it to the observed 1939 population was implemented

Ethnic and gender specific life expectancies of the Singapore population, 1965 to 2009 - Converging, or diverging?

10.1186/1471-2458-13-1012BMC Public Health131

Algorithms for enhancing public health utility of national causes-of-death data

<p>Abstract</p> <p>Background</p> <p>Coverage and quality of cause-of-death (CoD) data varies across countries and time. Valid, reliable, and comparable assessments of trends in causes of death from even the best systems are limited by three problems: a) changes in the <it>International Statistical Classification of Diseases and Related Health Problems </it>(ICD) over time; b) the use of tabulation lists where substantial detail on causes of death is lost; and c) many deaths assigned to causes that cannot or should not be considered underlying causes of death, often called garbage codes (GCs). The Global Burden of Disease Study and the World Health Organization have developed various methods to enhance comparability of CoD data. In this study, we attempt to build on these approaches to enhance the utility of national cause-of-death data for public health analysis.</p> <p>Methods</p> <p>Based on careful consideration of 4,434 country-years of CoD data from 145 countries from 1901 to 2008, encompassing 743 million deaths in ICD versions 1 to 10 as well as country-specific cause lists, we have developed a public health-oriented cause-of-death list. These 56 causes are organized hierarchically and encompass all deaths. Each cause has been mapped from ICD-6 to ICD-10 and, where possible, they have also been mapped to the <it>International List of Causes of Death </it>1-5. We developed a typology of different classes of GCs. In each ICD revision, GCs have been identified. Target causes to which these GCs should be redistributed have been identified based on certification practice and/or pathophysiology. Proportionate redistribution, statistical models, and expert algorithms have been developed to redistribute GCs to target codes for each age-sex group.</p> <p>Results</p> <p>The fraction of all deaths assigned to GCs varies tremendously across countries and revisions of the ICD. In general, across all country-years of data available, GCs have declined from more than 43% in ICD-7 to 24% in ICD-10. In some regions, such as Australasia, GCs in 2005 are as low as 11%, while in some developing countries, such as Thailand, they are greater than 50%. Across different age groups, the composition of GCs varies tremendously - three classes of GCs steadily increase with age, but ambiguous codes within a particular disease chapter are also common for injuries at younger ages. The impact of redistribution is to change the number of deaths assigned to particular causes for a given age-sex group. These changes alter ranks across countries for any given year by a number of different causes, change time trends, and alter the rank order of causes within a country.</p> <p>Conclusions</p> <p>By mapping CoD through different ICD versions and redistributing GCs, we believe the public health utility of CoD data can be substantially enhanced, leading to an increased demand for higher quality CoD data from health sector decision-makers.</p

On the way to Ithaka [1] : Commemorating the 50th Anniversary of the publication of Karl E. Weick’s The Social Psychology of Organizing

Karl E. Weick’s The Social Psychology of Organizing has been one of the most influential books in organization studies, providing the theoretical underpinnings of several research programs. Importantly, the book is widely credited with initiating the process turn in the field, leading to the ‘gerundizing’ of management and organization studies: the persistent effort to understand organizational phenomena as ongoing accomplishments. The emphasis of the book on organizing (rather than on organizations) and its links with sensemaking have made it the most influential treatise on organizational epistemology. In this introduction, we review Weick’s magnum opus, underline and assess its key themes, and suggest ways in which several of them may be taken forward

Influenza vaccination for immunocompromised patients: systematic review and meta-analysis from a public health policy perspective.

Immunocompromised patients are vulnerable to severe or complicated influenza infection. Vaccination is widely recommended for this group. This systematic review and meta-analysis assesses influenza vaccination for immunocompromised patients in terms of preventing influenza-like illness and laboratory confirmed influenza, serological response and adverse events

Predictive factors of long-term mortality of persons with tetraplegic spinal cord injury: an 11-year French prospective study

International audienceSTUDY DESIGN: Longitudinal study with mortality follow-up. OBJECTIVE: Identify predictive factors for long-term mortality following tetraplegic spinal cord injury (TSCI). SETTING: The Tetrafigap survey is a multi-centre epidemiological survey on the long-term outcome of persons with TSCI, initiated in France in 1995 with the participation of 35 rehabilitation centres. METHODS: The mortality follow-up involves 1241 persons with TSCI who were admitted to one of the study rehabilitation units at the initial phase and who completed the initial self-administered questionnaire. There were 226 observed deaths (18.2%) during an 11-year period. Logistic regression methods, with estimates of odds ratios (ORs), incorporating clinical, functional and social participation data were used to determine the factors related to mortality. This was followed by multivariate analysis to determine the best predictive factors for long-term mortality. RESULTS: Risk of death increases significantly with age but not with the time elapsed since the accident. The risk of death is higher in men. Interestingly, clinical variables are not the best predictors of long-term mortality. Instead, the significant effect of poor social participation (being single, infrequent contact with friends) and functional limitations (full assistance required with dressing or eating) persists after adjustment for other variables. CONCLUSION: Once the medical situation becomes more stable, factors related to the long-term mortality of persons with TSCI are not exactly identical to those observed in the short acute-phase and during the first year after the accident. Social participation has a significant effect on mortality