| 7484 |
Centers for Disease Control and Prevention |
Html |
en |
Clean Water for Health Program - Water-related Research |
The Health Studies Branch (HSB) leads CDC’s Clean Water for Heath Program (CWH), focuses on drinking water sources that are not regulated by the Safe Drinking Water Act. CWH conducts activities in three areas: water-related exposure and outcome research, the Private Well Initiative, and technical assistance and outbreak response. |
| population health risks | 0.662013 |
| past investigations | 0.289762 |
| toxic chemicals | 0.355984 |
| non-infectious contaminants | 0.655257 |
| research findings | 0.289287 |
| drinking water sources | 0.629992 |
| Health Studies Branch | 0.65727 |
| international partners | 0.281665 |
| public health risks | 0.804847 |
| surface water | 0.300654 |
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| hazardous exposures | 0.388627 |
| private wells | 0.299961 |
| small systems | 0.29088 |
| impact human health | 0.589151 |
| non-infectious agents | 0.447221 |
| health risks | 0.941045 |
| drinking water | 0.914115 |
| investigations focus | 0.290278 |
| Drinking Water contaminants | 0.796079 |
| Common water contaminants | 0.722517 |
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| 7814 |
Centers for Disease Control and Prevention |
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en |
Women's Health - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Women's Health |
| certain diseases | 0.415425 |
| treatment | 0.236131 |
| woman | 0.78344 |
| regular screenings | 0.452979 |
| specific disease | 0.429268 |
| impact her health | 0.477602 |
| lifestyle choices | 0.878896 |
| regular exercise | 0.448477 |
| poor health | 0.422928 |
| healthier lifestyle choices | 0.84109 |
| healthy body weight | 0.761983 |
| example | 0.252406 |
| lung cancer | 0.441099 |
| heart disease | 0.817253 |
|
| simple measures | 0.428251 |
| smoking | 0.254242 |
| early detection | 0.772288 |
| diseases | 0.479225 |
| second-hand smoke | 0.470645 |
| cervical cancer | 0.451148 |
| stroke | 0.263629 |
| steps | 0.222454 |
| factors | 0.362228 |
| nutritious diet | 0.48303 |
| family history | 0.503547 |
| Women’s Health | 0.387883 |
| risk | 0.914539 |
| conditions | 0.235647 |
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| 8024 |
Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | The Importance of NaturalExperiments in Diabetes Prevention and Control and the Need forBetter Health Policy Research - CDC |
Diabetes has steadily increased in prevalence, becoming one of the nation’s most challenging public health threats. Prevalence among adults is now more than 10%, and diabetes is the leading cause of nontraumatic lower-extremity amputation, end-stage kidney disease, and blindness; it more than doubles the risk of heart disease, stroke, and disability. |
| diabetes prevention | 0.750646 |
| health insurance | 0.541647 |
| health plans | 0.629438 |
| population-level health policies | 0.597713 |
| territorial health departments | 0.584623 |
| risk factor control | 0.576557 |
| health care benefits | 0.601472 |
| Disease Control | 0.752012 |
| national public health | 0.61576 |
| health behaviors | 0.54992 |
| health systems | 0.796226 |
| NEXT-D research teams | 0.557497 |
| clinical best practices | 0.649186 |
| better health policy | 0.609835 |
| nontraumatic lower-extremity amputation | 0.541547 |
| Affordable Care Act | 0.543844 |
| rigorous health policy | 0.714591 |
| end-stage kidney disease | 0.55945 |
| natural experiments | 0.791595 |
| policy-level approaches | 0.770716 |
| policy effects | 0.535765 |
| health effects | 0.549064 |
| diabetes prevention programs | 0.700292 |
| Health policy studies | 0.632909 |
| NEXT-D studies | 0.641133 |
|
| health information technology | 0.582265 |
| major public health | 0.596403 |
| primary prevention strategies | 0.566584 |
| diabetes care quality | 0.695647 |
| diabetes prevalence | 0.662825 |
| Popul Health Metr | 0.57989 |
| health policy research | 0.853655 |
| diabetes incidence demand | 0.709502 |
| public health threats | 0.635309 |
| multicenter research network | 0.5513 |
| public health | 0.913436 |
| CDC-funded Diabetes Prevention | 0.697535 |
| evidence base | 0.540949 |
| public policy decision | 0.537861 |
| diabetes health research | 0.757363 |
| diabetes complications | 0.649196 |
| clinical trial evidence | 0.559366 |
| Public Health Service | 0.592455 |
| public health priority | 0.63409 |
| diabetes risk factors | 0.678755 |
| preventive services | 0.547073 |
| diabetes | 0.972154 |
| NEXT-D natural experiments | 0.555972 |
| Diabetes Translation | 0.604296 |
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| 9619 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Prevalence Tables and Maps |
BRFSS 2008 - Prevalence Tables and Maps |
| CDCasthma | 0.468765 |
| Twitter | 0.531587 |
| asthma | 0.725431 |
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| control | 0.462721 |
| live healthier lives | 0.999719 |
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| 9679 |
Centers for Disease Control and Prevention |
Html |
es |
La biografía de Sharon - La historia de Sharon - Historias de la vida real - Consejos de exfumadores |
A Sharon le diagnosticaron cáncer de garganta en estadio IV y se sometió a radiación y varias cirugías. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
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| 9912 |
Centers for Disease Control and Prevention |
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en |
NIOSH Program Portfolio : Total Worker Health : Conferences |
The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders. |
| Expert presentations | 0.246376 |
| worker health | 0.960663 |
| U.S. Workforce Symposium | 0.361219 |
| Human Services | 0.252887 |
| Georgetown University Hotel | 0.378809 |
| job stress | 0.295964 |
| Disease Control | 0.25328 |
| American Psychological Association | 0.621289 |
| exciting forum | 0.242843 |
| worldwide economic turmoil | 0.373136 |
| Westin Bonaventure Hotel | 0.409028 |
| economic aspects | 0.246556 |
| integrated work-based approaches | 0.367566 |
| Personnel Management | 0.253594 |
| informal get-togethers | 0.245019 |
| latest developments | 0.245915 |
| international leaders | 0.330554 |
| Caribe Hilton Hotel | 0.367162 |
| healthy workers | 0.328029 |
| conference topics | 0.262375 |
| Total Worker Health | 0.564448 |
| Economic Context | 0.244468 |
| national symposium | 0.337885 |
| Global Concerns | 0.352078 |
| ample evidence | 0.345059 |
|
| rigorous evaluation | 0.235988 |
| integrative approaches | 0.350844 |
| Conference Center | 0.272483 |
| preconference workshops | 0.421935 |
| Safe Work | 0.26416 |
| thirty-five co-sponsors | 0.26086 |
| academic communities | 0.337739 |
| Occupational Safety | 0.404326 |
| integrated work-based programs | 0.34644 |
| international conference | 0.375278 |
| National Institute | 0.376187 |
| improved worker health | 0.470332 |
| San Juan | 0.238907 |
| special attention | 0.242255 |
| anecdotal reports | 0.352096 |
| Numerous case studies | 0.541565 |
| New Symposium Promoting | 0.40791 |
| Eagleson Institute | 0.259401 |
| Federal Occupational Health | 0.498485 |
| Healthier Federal Workers | 0.655149 |
| occupational stress | 0.441239 |
| Occupational Health Psychology | 0.675076 |
| Veterans Affairs | 0.246597 |
| Symposium participants | 0.247959 |
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| 11339 |
Centers for Disease Control and Prevention |
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Newborn Screening Laboratory Bulletin - Download the Bulletin | (Landing Page) |
null |
| newborn screening programs | 0.748338 |
| United States | 0.410245 |
| CDC Foundation | 0.464942 |
| disability | 0.316306 |
| comprehensive source | 0.398234 |
| effort | 0.316588 |
| Newborn Screening Laboratory | 0.73377 |
| premature death | 0.407938 |
| congenital diseases | 0.415442 |
| laboratory role | 0.396623 |
| awareness | 0.315372 |
| critical importance | 0.395467 |
| state health departments | 0.465744 |
| proficiency testing | 0.403938 |
| newborn screening test | 0.717113 |
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| research methods | 0.392231 |
| newborn screening worldwide | 0.73199 |
| non-regulatory program | 0.408993 |
| sustainable high-quality testing | 0.469516 |
| newborns | 0.327605 |
| NSTRI—a collaboration | 0.393746 |
| severe disorders | 0.413425 |
| thousands | 0.316448 |
| healthier babies | 0.425312 |
| Environmental Health Laboratory | 0.481731 |
| routine laboratory tests | 0.476326 |
| Bulletin | 0.315114 |
| quality assurance | 0.397907 |
| translation | 0.314906 |
| newborn screening | 0.914645 |
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| 12116 |
Centers for Disease Control and Prevention |
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Acute Flaccid Myelitis | For Clinicians |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 12178 |
Centers for Disease Control and Prevention |
Html |
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Global Invasive Bacterial Vaccine-Preventable DiseasesSurveillance - 2008-2014 |
Jillian Murray, MSPH1,2, Mary Agócs, MD1, Fatima Serhan, PhD1, Simarjit Singh, MScIT1, Maria Deloria-Knoll, PhD2, Katherine O'Brien, MD2, Jason M. Mwenda, MD3, Richard Mihigo, MD3, Lucia Oliveira, DSc4, Nadia Teleb, MD, PhD5, Hinda Ahmed, PhD5, Annemarie Wasley, PhD6, Dovile Videbaek, MSc6, Pushpa Wijesinghe, MD7, Arun Bhadra Thapa, MSPH7, Kimberly Fox, MD8, Fem Julia Paladin, PhD8, Rana Hajjeh, MD9, Stephanie Schwartz, MSc9, Chris Van Beneden, MD9, Terri Hyde, MD10, Claire Broome, MD11, Thomas Cherian, MD1 (Author affiliations at end of text). |
| H. influenzae | 0.753737 |
| sentinel hospital sites | 0.843809 |
| Haemophilus influenzae type | 0.743793 |
| childhood immunization programs | 0.743643 |
| Johns Hopkins University | 0.796655 |
| data | 0.937626 |
| chain reaction testing | 0.802806 |
| technical advisory group | 0.819051 |
| web-based data management | 0.746801 |
| Haemophilus influenzae | 0.757409 |
| data tracking hospitalizations | 0.747945 |
| Strategic Advisory Group | 0.88576 |
| PCV impact monitoring | 0.824466 |
| sentinel hospital surveillance | 0.824852 |
| S. pneumoniae | 0.813923 |
| consistent pneumonia case | 0.75523 |
| regional surveillance networks | 0.815369 |
| global reference laboratories | 0.814309 |
| surveillance | 0.951516 |
| vaccine impact | 0.762398 |
| polymerase chain reaction | 0.804874 |
| sentinel hospitals | 0.759687 |
| global surveillance feedback | 0.796382 |
| reference laboratories | 0.883384 |
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| World Health Organization | 0.819025 |
| data postvaccine introduction | 0.748184 |
| baseline surveillance capacity | 0.777913 |
| meningitis | 0.759966 |
| PCV impact | 0.94285 |
| baseline surveillance data | 0.817104 |
| pneumonia syndromic surveillance | 0.860919 |
| countries | 0.769356 |
| well-characterized clinical data | 0.754353 |
| off-site laboratory data | 0.752717 |
| surveillance platform | 0.748403 |
| new vaccines surveillance | 0.794183 |
| conduct population-based surveillance | 0.794753 |
| bacterial meningitis cases | 0.753516 |
| global IB-VPD surveillance | 0.816737 |
| pediatric pneumonia | 0.754927 |
| IB-VPD surveillance network | 0.904892 |
| Regional Office | 0.825347 |
| external quality assessment | 0.787502 |
| Gavi-eligible countries | 0.762337 |
| laboratory data | 0.754069 |
| in-patient pediatric pneumonia | 0.753841 |
| advisory group | 0.889403 |
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| 13146 |
Centers for Disease Control and Prevention |
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Naegleria fowleri - Sources of Infection - Case-report Data and Graphs |
Graphs and data related to Naegleria fowleri epidemiology. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| exposure unknown | 0.638256 |
| pond | 0.431925 |
| general public | 0.571051 |
| CDC | 0.478363 |
| example | 0.429435 |
| natural structures | 0.571563 |
| water (N=1) | 0.70036 |
| PAM cases | 0.70105 |
| play venues/water playgrounds | 0.728773 |
| state | 0.428059 |
| artificial whitewater rivers | 0.718908 |
| median age | 0.614594 |
| N=132 | 0.432412 |
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| swimming pools | 0.579465 |
| local public health | 0.702312 |
| chlorine | 0.440355 |
| hot tubs/spas | 0.571507 |
| therapeutic purpose | 0.578465 |
| partners | 0.427952 |
| probable water exposures | 0.725816 |
| aquatic venues | 0.913231 |
| well-operated aquatic venues | 0.757505 |
| illness onset | 0.57754 |
| reservoir | 0.433958 |
| male | 0.431492 |
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