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  1. Childhood immunization coverage in the United States (U.S.) is often measured at age 24 months or, in the National Immunization Survey (NIS) at age of interview, which is between 19 and 35 months. This paper c...

    Authors: Tammy A Santibanez, Lawrence E Barker and Kate M Shaw
    Citation: Population Health Metrics 2005 3:6
  2. Summary measures of health that combine mortality and morbidity into a single indicator are being estimated in the Canadian context for approximately 200 diseases and conditions. To manage the large amount of ...

    Authors: William Flanagan, Jane Boswell-Purdy, Christel Le Petit and Jean-Marie Berthelot
    Citation: Population Health Metrics 2005 3:5
  3. Mortality statistics are key inputs for evidence based health policy at national level. Little is known of the empirical basis for mortality statistics in China, which accounts for roughly one-fifth of the wor...

    Authors: Gonghuan Yang, Jianping Hu, Ke Quin Rao, Jeimin Ma, Chalapati Rao and Alan D Lopez
    Citation: Population Health Metrics 2005 3:3
  4. Strong regional heterogeneity and generally sub-optimal rates of measles vaccination in Italy have, to date, hampered attainment of WHO targets for measles elimination, and have generated the need for the new ...

    Authors: Piero Manfredi, Eugene M Cleur, John R Williams, Stefania Salmaso and Marta Ciofi degli Atti
    Citation: Population Health Metrics 2005 3:1
  5. Longitudinally observed cohort data can be utilized to assess the potential for health promotion and healthcare planning by comparing the estimated risk factor trends of non-intervened with that of intervened....

    Authors: J Park, SH Jee and DW Edington
    Citation: Population Health Metrics 2004 2:10
  6. Factor analysis is one of the most used statistical techniques to analyze the inter-relationships among symptoms reported by Gulf War veterans. The objective of this study was to apply factor analyses to binar...

    Authors: Rosane Nisenbaum, Khalida Ismail, Simon Wessely, Catherine Unwin, Lisa Hull and William C Reeves
    Citation: Population Health Metrics 2004 2:8
  7. Many health and disability surveys are conducted using the non-institutionalised population as a sampling frame. Consequently, it is possible that changes in the utilisation of institutional care could account...

    Authors: Patrick J Graham
    Citation: Population Health Metrics 2004 2:3
  8. Chronic fatigue syndrome (CFS) is a debilitating illness with no known cause or effective therapy. Population-based epidemiologic data on CFS prevalence are critical to put CFS in a realistic context for publi...

    Authors: Cynthia Bierl, Rosane Nisenbaum, David C Hoaglin, Bonnie Randall, Ann-Britt Jones, Elizabeth R Unger and William C Reeves
    Citation: Population Health Metrics 2004 2:1
  9. Quality of life weights based on valuations of health states are often used in cost utility analysis and population health measures. This paper reports on an attempt to develop quality of life weights within t...

    Authors: Jennifer Jelsma, Kristian Hansen, Willy de Weerdt, Paul de Cock and Paul Kind
    Citation: Population Health Metrics 2003 1:11
  10. Disability weights represent the relative severity of disease stages to be incorporated in summary measures of population health. The level of agreement on disability weights in Western European countries was ...

    Authors: Michaël Schwarzinger, Marlies EA Stouthard, Kristina Burström and Erik Nord
    Citation: Population Health Metrics 2003 1:9
  11. Early infant morbidities may produce adverse outcomes in subsequent life. A low Apgar score is a convenient measure of early infant morbidity. We study determinants of early infant morbidity (sex, plurality, m...

    Authors: Carla J Machado and Ken Hill
    Citation: Population Health Metrics 2003 1:7
  12. Valid, reliable and comparable measures of the health states of individuals and of the health status of populations are critical components of the evidence base for health policy. We need to develop population...

    Authors: Colin D Mathers, Christopher JL Murray, Majid Ezzati, Emmanuela Gakidou, Joshua A Salomon and Claudia Stein
    Citation: Population Health Metrics 2003 1:6
  13. Health policy and planning depend on quantitative data of disease epidemiology. However, empirical data are often incomplete or are of questionable validity. Disease models describing the relationship between ...

    Authors: Michelle E Kruijshaar, Jan J Barendregt and Lonneke V van de Poll-Franse
    Citation: Population Health Metrics 2003 1:5
  14. Epidemiology as an empirical science has developed sophisticated methods to measure the causes and patterns of disease in populations. Nevertheless, for many diseases in many countries only partial data are av...

    Authors: Jan J Barendregt, Gerrit J van Oortmarssen, Theo Vos and Christopher JL Murray
    Citation: Population Health Metrics 2003 1:4
  15. Reliable and comparable analysis of risks to health is key for preventing disease and injury. Causal attribution of morbidity and mortality to risk factors has traditionally been conducted in the context of me...

    Authors: Christopher JL Murray, Majid Ezzati, Alan D Lopez, Anthony Rodgers and Stephen Vander Hoorn
    Citation: Population Health Metrics 2003 1:1

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  • Citation Impact 2023
    Journal Impact Factor: 3.2
    5-year Journal Impact Factor: 3.3
    Source Normalized Impact per Paper (SNIP): 1.600
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