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  1. Many major causes of disability in the Global Burden of Disease (GBD) study present with a range of severity, and for most causes finding population distributions of severity can be difficult due to issues of ...

    Authors: Roy Burstein, Tom Fleming, Juanita Haagsma, Joshua A. Salomon, Theo Vos and Christopher JL. Murray
    Citation: Population Health Metrics 2015 13:31
  2. Smoking is a strong risk factor for mortality in both the developed and the developing world. However, there is still limited research to examine the impact of smoking cessation and mortality in middle-income ...

    Authors: Jiaying Zhao, Cha-aim Pachanee, Vasoontara Yiengprugsawan, Sam-ang Seubsman and Adrian Sleigh
    Citation: Population Health Metrics 2015 13:30
  3. Mortality for children with congenital heart disease (CHD) has declined with improved surgical techniques and neonatal screening; however, as these patients live longer, accurate estimates of the prevalence of...

    Authors: Catherine P. Benziger, Karen Stout, Elisa Zaragoza-Macias, Amelia Bertozzi-Villa and Abraham D. Flaxman
    Citation: Population Health Metrics 2015 13:29
  4. Verbal autopsy is gaining increasing acceptance as a method for determining the underlying cause of death when the cause of death given on death certificates is unavailable or unreliable, and there are now a n...

    Authors: Abraham D. Flaxman, Peter T. Serina, Bernardo Hernandez, Christopher J. L. Murray, Ian Riley and Alan D. Lopez
    Citation: Population Health Metrics 2015 13:28
  5. Modifiable risks account for a large fraction of disease and death, but clinicians and patients lack tools to identify high risk populations or compare the possible benefit of different interventions.

    Authors: Stephen S. Lim, Emily Carnahan, Eugene C. Nelson, Catherine W. Gillespie, Ali H. Mokdad, Christopher J. L. Murray and Elliott S. Fisher
    Citation: Population Health Metrics 2015 13:27
  6. The POpulation HEalth Model (POHEM) is a health microsimulation model that was developed at Statistics Canada in the early 1990s. POHEM draws together rich multivariate data from a wide range of sources to sim...

    Authors: Deirdre A. Hennessy, William M. Flanagan, Peter Tanuseputro, Carol Bennett, Meltem Tuna, Jacek Kopec, Michael C. Wolfson and Douglas G. Manuel
    Citation: Population Health Metrics 2015 13:24
  7. We present a method for reclassifying external causes of death categorized as “event of undetermined intent” (EUIs) into non-transport accidents, suicides, or homicides. In nations like Russia and the UK the a...

    Authors: Evgeny Andreev, Vladimir M. Shkolnikov, William Alex Pridemore and Svetlana Yu. Nikitina
    Citation: Population Health Metrics 2015 13:23
  8. Sound public health policy on HIV/AIDS depends on accurate prevalence and incidence statistics for the epidemic at both local and national levels. However, HIV statistics derived from epidemiological extrapola...

    Authors: Samuel Manda, Lieketseng Masenyetse, Bo Cai and Renate Meyer
    Citation: Population Health Metrics 2015 13:22
  9. Identifying a single disease as the underlying cause of death (UCOD) is an oversimplification of the clinical-pathological process leading to death. The multiple causes of death (MCOD) approach examines any me...

    Authors: Ugo Fedeli, Giacomo Zoppini, Carlo Alberto Goldoni, Francesco Avossa, Giuseppe Mastrangelo and Mario Saugo
    Citation: Population Health Metrics 2015 13:21
  10. South Africa has continued to receive increasing attention due to unprecedented high levels of violence. Homicide-related violence accounts for a significant proportion of unnatural deaths and contributes sign...

    Authors: George Otieno, Edmore Marinda, Till Bärnighausen and Frank Tanser
    Citation: Population Health Metrics 2015 13:20
  11. Demographic and socioeconomic changes such as increasing urbanization, migration, and female education shape population health in many low- and middle-income countries. These changes are rarely reflected in co...

    Authors: Sanjay Basu and Jeremy D. Goldhaber-Fiebert
    Citation: Population Health Metrics 2015 13:19
  12. The aim of this study is to analyze longitudinally, based on four measurements at intervals of eight years, the annual effect of age group and birth cohort on regular exercise in the Swedish population from 19...

    Authors: Matti Leijon, Patrik Midlöv, Jan Sundquist, Kristina Sundquist and Sven-Erik Johansson
    Citation: Population Health Metrics 2015 13:18
  13. Radical regulations to improve air quality, including traffic control, were implemented prior to and during the 2008 Beijing Olympic Games. Consequently, ambient concentrations of nitrogen dioxide (NO2) and parti...

    Authors: Cheng Huang, Catherine Nichols, Yang Liu, Yunping Zhang, Xiaohong Liu, Suhong Gao, Zhiwen Li and Aiguo Ren
    Citation: Population Health Metrics 2015 13:17
  14. National mortality data are obtained routinely by the Disease Surveillance Points system (DSPs) in China and under-reporting is a big challenge in mortality surveillance.

    Authors: Kang Guo, Peng Yin, Lijun Wang, Yibing Ji, Qingfeng Li, David Bishai, Shiwei Liu, Yunning Liu, Thomas Astell-Burt, Xiaoqi Feng, Jinling You, Jiangmei Liu and Maigeng Zhou
    Citation: Population Health Metrics 2015 13:16
  15. We aimed to estimate the maximum intervention cost (EMIC) a society could invest in a life-saving intervention at different ages while remaining cost-effective according to a user-specified cost-effectiveness ...

    Authors: Giorgi Kvizhinadze, Nick Wilson, Nisha Nair, Melissa McLeod and Tony Blakely
    Citation: Population Health Metrics 2015 13:15
  16. Comparing health-related quality of life (HRQL) outcomes between studies is difficult due to the wide variety of instruments used. Comparing study outcomes and facilitating pooled data analyses requires valid ...

    Authors: Belinda J Gabbe, Emma McDermott, Pam M Simpson, Sarah Derrett, Shanthi Ameratunga, Suzanne Polinder, Ronan A Lyons, Frederick P Rivara and James E Harrison
    Citation: Population Health Metrics 2015 13:14
  17. There is increasing interest in monitoring the health-related quality of life (HRQoL) of populations as opposed to clinical populations. The EQ-5D identifies five domains as being most able to capture the HRQo...

    Authors: Jennifer Jelsma and Soraya Maart
    Citation: Population Health Metrics 2015 13:13
  18. Population health scientists increasingly study how contextual-level attributes affect individual health. A major challenge in this domain relates to measurement, i.e., how best to measure and create variables...

    Authors: Erin C Dunn, Katherine E Masyn, William R Johnston and SV Subramanian
    Citation: Population Health Metrics 2015 13:12
  19. Annually since 2010, the University of Wisconsin Population Health Institute and the Robert Wood Johnson Foundation have produced the County Health Rankings—a “population health checkup” for the nation’s over 3,0...

    Authors: Patrick L Remington, Bridget B Catlin and Keith P Gennuso
    Citation: Population Health Metrics 2015 13:11
  20. In calculations of burden of disease using disability-adjusted life years, disability weights are needed to quantify health losses relating to non-fatal outcomes, expressed as years lived with disability. In 2...

    Authors: Juanita A Haagsma, Charline Maertens de Noordhout, Suzanne Polinder, Theo Vos, Arie H Havelaar, Alessandro Cassini, Brecht Devleesschauwer, Mirjam E Kretzschmar, Niko Speybroeck and Joshua A Salomon
    Citation: Population Health Metrics 2015 13:10
  21. We assessed the effects of a three-year national-level, ministry-led health information system (HIS) data quality intervention and identified associated health facility factors.

    Authors: Bradley H Wagenaar, Sarah Gimbel, Roxanne Hoek, James Pfeiffer, Cathy Michel, João Luis Manuel, Fatima Cuembelo, Titos Quembo, Pires Afonso, Victoria Porthé, Stephen Gloyd and Kenneth Sherr
    Citation: Population Health Metrics 2015 13:9
  22. This research explores the healthy soldier effect (HSE) – a lower mortality risk among veterans relative to the general population—in United States (US) veterans deployed in support of operations in Iraq and A...

    Authors: Mary J Bollinger, Susanne Schmidt, Jacqueline A Pugh, Helen M Parsons, Laurel A Copeland and Mary Jo Pugh
    Citation: Population Health Metrics 2015 13:8
  23. Metabolic syndrome (MetS) is the co-occurrence of several conditions that increase risk of chronic disease and mortality. Multivariate models for calculating risk of MetS-related diseases based on combinations...

    Authors: Evan Coffman and Jennifer Richmond-Bryant
    Citation: Population Health Metrics 2015 13:7
  24. We examine the association between family structure and children’s health care utilization, barriers to health care access, health, and schooling and cognitive outcomes and assess whether socioeconomic status ...

    Authors: Patrick M Krueger, Douglas P Jutte, Luisa Franzini, Irma Elo and Mark D Hayward
    Citation: Population Health Metrics 2015 13:6
  25. Prevention efforts are informed by the numbers of deaths or cases of disease caused by specific risk factors, but these are challenging to estimate in a population. Fortunately, an increasing number of jurisdi...

    Authors: Peter Tanuseputro, Richard Perez, Laura Rosella, Kumanan Wilson, Carol Bennett, Meltem Tuna, Deirdre Hennessy, Heather Manson and Douglas Manuel
    Citation: Population Health Metrics 2015 13:5
  26. Measurement of health-related quality of life (HRQL) is essential to quantify the subjective burden of traumatic brain injury (TBI) in survivors. We performed a systematic review of HRQL studies in TBI to eval...

    Authors: Suzanne Polinder, Juanita A Haagsma, David van Klaveren, Ewout W Steyerberg and Ed F van Beeck
    Citation: Population Health Metrics 2015 13:4
  27. Health has improved markedly in Mesoamerica, the region consisting of southern Mexico and Central America, over the past decade. Despite this progress, there remain substantial inequalities in health outcomes,...

    Authors: Ali H Mokdad, Katherine Ellicott Colson, Paola Zúñiga-Brenes, Diego Ríos-Zertuche, Erin B Palmisano, Eyleen Alfaro-Porras, Brent W Anderson, Marco Borgo, Sima Desai, Marielle C Gagnier, Catherine W Gillespie, Sandra L Giron, Annie Haakenstad, Sonia López Romero, Julio Mateus, Abigail McKay…
    Citation: Population Health Metrics 2015 13:3
  28. Most assessments of the burden of obesity in nutrition transition contexts rely on body mass index (BMI) only, even though abdominal adiposity might be specifically predictive of adverse health outcomes. In Tu...

    Authors: Pierre Traissac, Rebecca Pradeilles, Jalila El Ati, Hajer Aounallah-Skhiri, Sabrina Eymard-Duvernay, Agnès Gartner, Chiraz Béji, Souha Bougatef, Yves Martin-Prével, Patrick Kolsteren, Francis Delpeuch, Habiba Ben Romdhane and Bernard Maire
    Citation: Population Health Metrics 2015 13:1
  29. Due to challenges in laboratory confirmation, reporting completeness, timeliness, and health access, routine incidence data from health management information systems (HMIS) have rarely been used for the rigor...

    Authors: Adam Bennett, Joshua Yukich, John M Miller, Penelope Vounatsou, Busiku Hamainza, Mercy M Ingwe, Hawela B Moonga, Mulakwo Kamuliwo, Joseph Keating, Thomas A Smith, Richard W Steketee and Thomas P Eisele
    Citation: Population Health Metrics 2014 12:30
  30. With increasing diabetes prevalence worldwide, an impending diabetes “pandemic” has been reported. However, definitions of incident cases and the population at risk remain varied and ambiguous. This study anal...

    Authors: Tomas Karpati, Chandra J Cohen-Stavi, Morton Leibowitz, Moshe Hoshen, Becca S Feldman and Ran D Balicer
    Citation: Population Health Metrics 2014 12:32
  31. Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, high blood pressure, and high cholesterol) change over time is a critical aim of public health. The associations across th...

    Authors: Anne W Taylor, Eleonora Dal Grande, Jing Wu, Zumin Shi and Stefano Campostrini
    Citation: Population Health Metrics 2014 12:31
  32. Numerous epidemiology studies on dyslipidemia have been conducted in China. However, a nationally representative estimate for dyslipidemia prevalence is lacking. The aim of this study is to appraise the nation...

    Authors: Yuanxiu Huang, Lin Gao, Xiaoping Xie and Seng Chuen Tan
    Citation: Population Health Metrics 2014 12:28
  33. Infant mortality rate (IMR) is regarded as an important indicator of population health. IMR rates vary substantially with the highest found in sub-Saharan Africa (SSA) compared to the lowest in Europe. Identif...

    Authors: Benn KD Sartorius and Kurt Sartorius
    Citation: Population Health Metrics 2014 12:29
  34. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) provides a standardized assessment of functioning and disability in individuals with any kind of disease. So far, data on feasibili...

    Authors: Inge Kirchberger, Kathrin Braitmayer, Michaela Coenen, Cornelia Oberhauser and Christa Meisinger
    Citation: Population Health Metrics 2014 12:27
  35. The pattern of diseases causing sudden unexpected natural deaths is a function of the prevalent disease pattern in the general population. This pattern appears to be changing in Nigeria in response to changing...

    Authors: Olumuyiwa Eyitayo Pelemo, Donatus Sabageh, Akinwumi Oluwole Komolafe, Adedayo Olukemi Sabageh and William Olufemi Odesanmi
    Citation: Population Health Metrics 2014 12:26
  36. It is known that death registry (DR) underestimates HIV deaths. The objectives of this study were to examine under-reporting/misclassification and to estimate HIV mortality in Thailand during 1996-2009 from a ...

    Authors: Amornrat Chutinantakul, Phattrawan Tongkumchum, Kanitta Bundhamcharoen and Virasakdi Chongsuvivatwong
    Citation: Population Health Metrics 2014 12:25
  37. The World Health Organization has developed proposals on how efforts to reduce non–communicable diseases (NCD) in low– and middle–income countries may be monitored over time. One of the proposed indicators is ...

    Authors: Antony Stevens, Maria Inês Schmidt and Bruce B Duncan
    Citation: Population Health Metrics 2014 12:24
  38. Health and Demographic Surveillance Systems (HDSS) collect independent mortality data that could be used for assessing the quality of mortality data in national civil registration (CR) systems in low- and midd...

    Authors: Chodziwadziwa W Kabudula, Jan D Joubert, Maletela Tuoane-Nkhasi, Kathleen Kahn, Chalapati Rao, Francesc Xavier Gmez-Oliv, Paul Mee, Stephen Tollman, Alan D Lopez, Theo Vos and Debbie Bradshaw
    Citation: Population Health Metrics 2014 12:23
  39. In South and Southeast Asian countries, tobacco is consumed in diverse forms, and smoking among women is very low. We aimed to provide national estimates of prevalence and social determinants of smoking and sm...

    Authors: Chandrashekhar T Sreeramareddy, Pranil Man Singh Pradhan, Imtiyaz Ali Mir and Shwe Sin
    Citation: Population Health Metrics 2014 12:22
  40. As countries develop economically, an “epidemiological transition” occurs whereby a set of chronic diseases increasingly becomes a country’s health challenge. Against this background, this paper examines the m...

    Authors: Faleh Mohamed Hussain Ali, Zlatko Nikoloski, Husein Reka, Orsida Gjebrea and Elias Mossialos
    Citation: Population Health Metrics 2014 12:18
  41. The disability-adjusted life year (DALY) is widely used to assess the burden of different health problems and risk factors. The disability weight, a value anchored between 0 (perfect health) and 1 (equivalent ...

    Authors: Juanita A Haagsma, Suzanne Polinder, Alessandro Cassini, Edoardo Colzani and Arie H Havelaar
    Citation: Population Health Metrics 2014 12:20
  42. In primary care surveillance systems based on voluntary participation, biased results may arise from the lack of representativeness of the monitored population and uncertainty regarding the population denomina...

    Authors: Cécile Souty, Clément Turbelin, Thierry Blanchon, Thomas Hanslik, Yann Le Strat and Pierre-Yves Boëlle
    Citation: Population Health Metrics 2014 12:19
  43. In this paper, space-time patterns of colorectal cancer (CRC) mortality risks are studied by sex and age group (50-69, ≥70) in Spanish provinces during the period 1975-2008. Space-time conditional autoregressi...

    Authors: Jaione Etxeberria, María Dolores Ugarte, Tomás Goicoa and Ana F Militino
    Citation: Population Health Metrics 2014 12:17
  44. In the last 20 years, Brazil has undergone dramatic changes in terms of socioeconomic development and health care. In the first decade of the 2000s, the Ministry of Health (MoH) developed a series of programs ...

    Authors: Célia Landmann Szwarcwald, Paulo Germano de Frias, Paulo Roberto Borges deSouza Júnior, Wanessa da Silva de Almeida and Otaliba Libânio de Morais Neto
    Citation: Population Health Metrics 2014 12:16
  45. A critical first step toward incorporating equity into cost-effectiveness analyses is to appropriately model interventions by population subgroups. In this paper we use a standardized treatment intervention to...

    Authors: Melissa McLeod, Tony Blakely, Giorgi Kvizhinadze and Ricci Harris
    Citation: Population Health Metrics 2014 12:15

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