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BMC pregnancy and childbirth, ISSN 1471-2393, 01/2012, Volume 12, Issue 1, pp. 6 - 6
Life Sciences & Biomedicine | Obstetrics & Gynecology | Science & Technology | Confidence Intervals | Marriage - statistics & numerical data | Prevalence | Women's Health | Cross-Sectional Studies | Pregnancy, Unwanted | Attitude to Health | Contraceptive Agents, Female - therapeutic use | Humans | Male | Family Planning Services - statistics & numerical data | Sterilization, Reproductive - statistics & numerical data | Ethiopia - epidemiology | Pregnancy | Rural Health Services - organization & administration | Young Adult | Adult | Female | Surveys and Questionnaires | Contraception Behavior - statistics & numerical data | Odds Ratio | Health Education - statistics & numerical data | Reproductive health | Birth control | Mens health | Family planning | Sample size | Transplants & implants | Households | Womens health | Reproductive sterilization | Females | Methods | Sampling techniques | Index Medicus
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BMC women's health, ISSN 1472-6874, 03/2016, Volume 16, Issue 1, pp. 16 - 16
Pregnancy | Intimate partner violence | Ethiopia | Public, Environmental & Occupational Health | Life Sciences & Biomedicine | Obstetrics & Gynecology | Science & Technology | Prevalence | Cross-Sectional Studies | Humans | Risk Factors | Intimate Partner Violence - statistics & numerical data | Violence - psychology | Epidemiologic Factors | Ethiopia - epidemiology | Intimate Partner Violence - psychology | Family Conflict - psychology | Female | Sex Offenses - psychology | Violence - statistics & numerical data | Interpersonal Relations | Sexual Partners - psychology | Research | Family violence | Pregnant women | Health aspects | Index Medicus
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PloS one, ISSN 1932-6203, 04/2012, Volume 7, Issue 4, pp. e35515 - e35515
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Self Efficacy | Cross-Sectional Studies | Humans | Middle Aged | Male | Health Knowledge, Attitudes, Practice | Health Behavior | Self Care - psychology | Ethiopia - epidemiology | Young Adult | Diabetes Mellitus - epidemiology | Diabetes Mellitus - therapy | Adolescent | Adult | Female | Surveys and Questionnaires | Aged | Diabetes Mellitus - psychology | Type 2 diabetes | Medical research | Diabetics | Hospitals | Analysis | Mortality | Medicine, Experimental | Self-care, Health | Chronic diseases | Health aspects | Diabetes therapy | Low income groups | Random sampling | Identification methods | Health services | Income | Perceptions | Glucose | Success | Prevention | Learning | Exercise | Behavior | Public health | Teaching hospitals | Activities of daily living | Statistical analysis | Medical treatment | Diabetes mellitus | Regression analysis | Behavioral sciences | Health education | Patients | Morbidity | Nutrition research | Physical fitness | Diet | Pharmacy | Diabetes | Index Medicus
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The Lancet global health, ISSN 2214-109X, 01/2019, Volume 7, Issue 1, pp. e81 - e95
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Bulletin of the World Health Organization, ISSN 0042-9686, 11/2020, Volume 98, Issue 11, p. 735
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Bulletin of the World Health Organization, ISSN 0042-9686, 11/2020, Volume 98, Issue 11, pp. 735 - 746D
Low income groups | Health care | Health facilities | Urban population | Health services | Service provision | Cough reflex | Ambition | Residents | Contraceptives | Regression models | Maternal & child health | Childhood | Expenditures | Children | Health surveys | Women | Health | Diarrhea | Maternal and infant welfare | Health centres | Data quality | Regression analysis | Devaluation | Primary care | Patients | Fever | Cough | Prenatal care | Surveys | Birth control | Services | Occupational health and safety | Hospitals | Health care expenditures | Womens health | Pregnant women | Antenatal care | Determinants | Quality assessment | Quality of care
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Bulletin of the World Health Organization, ISSN 0042-9686, 11/2020, Volume 98, Issue 11, pp. 735 - 746D
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The Lancet (British edition), ISSN 0140-6736, 11/2018, Volume 392, Issue 10159, pp. 1736 - 1788
Age Distribution | Global Burden of Disease - statistics & numerical data | Humans | Middle Aged | Child, Preschool | Infant | Male | Socioeconomic Factors | Young Adult | Life Expectancy | Global Burden of Disease - trends | Global Health - trends | Adolescent | Global Health - statistics & numerical data | Aged, 80 and over | Sex Distribution | Adult | Cause of Death - trends | Female | Aged | Child | Infant, Newborn | Neonates | Disease | Disorders | Epidemiology | Neoplasms | Risk factors | Autopsy | Fertility | Registration | Skin diseases | Public health | Outdoor air quality | Life expectancy | Population growth | Violence | Mortality | Population statistics | Self destructive behavior | Neurological diseases | Charities | Substance use | Tuberculosis | Surveillance | Death | Adults | Cardiovascular diseases | Sex | Population number | Infections | Demographics | Reduction | Older people | Mathematical models | Children | Heart diseases | Injuries | Age | Stroke | Autopsies | Terrorism | Health risks | Police | Estimates | Coronary artery disease | Population (statistical) | Life span | Fatalities | Public good | Cancer | Index Medicus | Abridged Index Medicus | united-states | Klinisk medicin | individuals | Clinical Medicine | prevalence | barriers | public-health problem | dementia | registration | General & Internal Medicine | trends | prevention | alzheimers-disease | Hälsovetenskap | Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi | Medical and Health Sciences | Medicin och hälsovetenskap | Public Health, Global Health, Social Medicine and Epidemiology | Health Sciences
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The Lancet (British edition), ISSN 0140-6736, 11/2018, Volume 392, Issue 10159, pp. 1684 - 1735
Age Distribution | Global Burden of Disease - statistics & numerical data | Humans | Middle Aged | Child, Preschool | Infant | Male | Mortality - trends | Socioeconomic Factors | Young Adult | Life Expectancy | Global Burden of Disease - trends | Global Health - trends | Adolescent | Global Health - statistics & numerical data | Aged, 80 and over | Sex Distribution | Adult | Female | Aged | Child | Infant, Newborn | Sexually transmitted diseases--STD | Mortality patterns | Sex | Statistical methods | Males | Birth | Data sources | Risk factors | Demographics | Databases | Acquired immune deficiency syndrome--AIDS | Fertility | Human immunodeficiency virus--HIV | Quality | Child mortality | Children | Trends | Iterative methods | Age | Life expectancy | Statistical analysis | Mortality | Health risks | Data processing | Assessments | Population statistics | Risk analysis | Estimates | Charities | Census | Population (statistical) | Census of Population | Life span | Men | Life tables | Fatalities | Adults | Index Medicus | Abridged Index Medicus | Hälsovetenskaper | Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi | Medical and Health Sciences | Medicin och hälsovetenskap | Public Health, Global Health, Social Medicine and Epidemiology | Health Sciences | england | child-mortality | death | health | v115 | countries | Klinisk medicin | south-africa | population | Clinical Medicine | estimating adult mortality | all-cause mortality | p957 | General & Internal Medicine | trends | ates of america | Hälsovetenskap
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2017, Volume 389, Issue 10082
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