Search Results - "Oza, Shefali"

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    Neonatal cause-of-death estimates for the early and late neonatal periods for 194 countries: 2000-2013 by Oza, Shefali, Lawn, Joy E, Hogan, Daniel R, Mathers, Colin, Cousens, Simon N

    Published in Bulletin of the World Health Organization (01-01-2015)
    “…To estimate cause-of-death distributions in the early (0-6 days of age) and late (7-27 days of age) neonatal periods, for 194 countries between 2000 and 2013…”
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    Journal Article
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    Estimation of daily risk of neonatal death, including the day of birth, in 186 countries in 2013: a vital-registration and modelling-based study by Oza, Shefali, MSc, Cousens, Simon N, Prof, Lawn, Joy E, Prof

    Published in The Lancet global health (01-11-2014)
    “…Summary Background The days immediately after birth are the most risky for human survival, yet neonatal mortality risks are generally not reported by day…”
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    Journal Article
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    Are Americans Feeling Less Healthy? The Puzzle of Trends in Self-rated Health by Salomon, Joshua A., Nordhagen, Stella, Oza, Shefali, Murray, Christopher J. L.

    Published in American journal of epidemiology (01-08-2009)
    “…Although self-rated health is proposed for use in public health monitoring, previous reports on US levels and trends in self-rated health have shown ambiguous…”
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    The promise of prevention: the effects of four preventable risk factors on national life expectancy and life expectancy disparities by race and county in the United States by Danaei, Goodarz, Rimm, Eric B, Oza, Shefali, Kulkarni, Sandeep C, Murray, Christopher J L, Ezzati, Majid

    Published in PLoS medicine (01-03-2010)
    “…There has been substantial research on psychosocial and health care determinants of health disparities in the United States (US) but less on the role of…”
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    Trends and Cardiovascular Mortality Effects of State-Level Blood Pressure and Uncontrolled Hypertension in the United States by EZZATI, Majid, OZA, Shefali, DANAEI, Goodarz, MURRAY, Christopher J. L

    Published in Circulation (New York, N.Y.) (19-02-2008)
    “…Blood pressure is an important risk factor for cardiovascular disease and mortality and has lifestyle and healthcare determinants that vary across states. Only…”
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    Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections by Oza, Shefali, Sesay, Alieu A, Russell, Neal J, Wing, Kevin, Boufkhed, Sabah, Vandi, Lahai, Sebba, Sahr C, Cummings, Rachael, Checchi, Francesco

    Published in Emerging infectious diseases (01-11-2017)
    “…Rapidly identifying likely Ebola patients is difficult because of a broad case definition, overlap of symptoms with common illnesses, and lack of rapid…”
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    Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015 by Wing, Kevin, Oza, Shefali, Houlihan, Catherine, Glynn, Judith R, Irvine, Sharon, Warrell, Clare E, Simpson, Andrew J H, Boufkhed, Sabah, Sesay, Alieu, Vandi, Lahai, Sebba, Sahr Charles, Shetty, Pranav, Cummings, Rachael, Checchi, Francesco, McGowan, Catherine R

    Published in PloS one (27-12-2018)
    “…While a number of predictors for Ebola mortality have been identified, less is known about post-viral symptoms. The identification of acute-illness predictors…”
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    How many deaths are attributable to smoking in the United States? Comparison of methods for estimating smoking-attributable mortality when smoking prevalence changes by Oza, Shefali, Thun, Michael J, Henley, S. Jane, Lopez, Alan D, Ezzati, Majid

    Published in Preventive medicine (01-06-2011)
    “…Abstract Background The number of smoking-attributable deaths is commonly estimated using current and former smoking prevalences or lung cancer mortality as an…”
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    Diabetes prevalence and diagnosis in US states: analysis of health surveys by Danaei, Goodarz, Friedman, Ari B, Oza, Shefali, Murray, Christopher Jl, Ezzati, Majid

    Published in Population health metrics (25-09-2009)
    “…Current US surveillance data provide estimates of diabetes using laboratory tests at the national level as well as self-reported data at the state level…”
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