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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0009 |
CDC - Wide Page example description goes here |
| coronary artery disease | 0.459976 |
| manual review | 0.45976 |
| administrative data approach | 0.439997 |
| prevalence heart disease | 0.485781 |
| long enrollment group | 0.46284 |
| care claims data | 0.444187 |
| stratified random sample | 0.489761 |
| chronic heart disease | 0.46764 |
| ischemic heart disease | 0.466455 |
| medical group | 0.488496 |
| Peripheral Vascular Disease | 0.438567 |
| true prevalence | 0.447891 |
| heart disease prevalence | 0.515641 |
| heart disease risk | 0.47226 |
| prevalence data | 0.444715 |
| electronic health records | 0.4444 |
| visits | 0.453126 |
| long enrollment sample | 0.445061 |
| gold standard | 0.442466 |
| total opportunity | 0.457694 |
| Medical Group patients | 0.435065 |
| Heart Association Councils | 0.437952 |
| disease control | 0.444161 |
|
| manual health records | 0.436807 |
| disease surveillance | 0.436789 |
| claims data | 0.626765 |
| long enrollment subpopulation | 0.444112 |
| heart failure | 0.459413 |
| secondary prevention | 0.435063 |
| heart disease | 0.92802 |
| long enrollment population | 0.519816 |
| validation samples | 0.447901 |
| patients | 0.517021 |
| heart disease prevention | 0.51277 |
| long enrollment | 0.524772 |
| Indian Health Service | 0.443477 |
| American Heart Association | 0.474838 |
| support tool | 0.457366 |
| manual record review | 0.568776 |
| healthpartners medical group | 0.468135 |
| disease incidence | 0.436503 |
| heart disease code | 0.466036 |
| coronary heart disease | 0.487678 |
| HealthPartners Research Foundation | 0.4808 |
| chronic lung diseases | 0.439597 |
| acute myocardial infarction | 0.466685 |
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Centers for Disease Control and Prevention |
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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 |
|
| 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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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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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Acute Flaccid Myelitis | For Clinicians |
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| 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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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 |
|
| 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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Powerful new "Tips From Former Smokers" ads focus on living with vision loss and colorectal cancer |
The Centers for Disease Control and Prevention is launching its 2015 “Tips From Former Smokers” campaign with a series of powerful new ads featuring former smokers who suffer from smoking-related illnesses, including vision loss and colorectal cancer. |
| high school | 0.735897 |
| smoking-related disease | 0.737133 |
| toll-free quitline number | 0.846 |
| additional calls | 0.731102 |
| painful personal stories | 0.821812 |
| lung cancer | 0.737015 |
| smoking cigarettes | 0.873633 |
| Disease Control | 0.755282 |
| CDC’s Office | 0.728378 |
| percent more people | 0.734246 |
| powerful new ads | 0.900308 |
| best chance | 0.728658 |
| public service announcement | 0.828349 |
| colorectal cancer | 0.759055 |
| detailed assistance | 0.725767 |
| Director Tom Frieden | 0.862794 |
| education campaign | 0.752055 |
| crystal ball | 0.732985 |
| new real-life ads | 0.881651 |
| national quitline | 0.735256 |
| macular degeneration | 0.735114 |
| Tips ad participants | 0.827909 |
| powerful stories | 0.731565 |
| adult e-cigarette users | 0.830325 |
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| Tips ads | 0.968754 |
| human cost | 0.725085 |
| Tips campaign | 0.738317 |
| smokers | 0.988039 |
| Tips national tobacco | 0.888706 |
| National Cancer Institute | 0.835607 |
| Air Force veteran | 0.835051 |
| free help | 0.735409 |
| ad participants | 0.842357 |
| senior medical officer | 0.817298 |
| strong impact | 0.73158 |
| public health | 0.741497 |
| new ad participants | 0.838825 |
| tobacco product | 0.725754 |
| colon cancer | 0.734513 |
| rectal cancer | 0.739376 |
| direct medical care | 0.825936 |
| Cigarette smoking | 0.808651 |
| 393 to save a | 0.732013 |
| Persian Gulf. | 0.727627 |
| best buy | 0.73888 |
| smokeless tobacco | 0.733462 |
| smoking-related illnesses | 0.763449 |
| campaign resources | 0.725183 |
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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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Pregnant Women Residing in Areas with Active Zika Virus Transmission |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| file | 0.322809 |
| Pregnant Women | 0.8202 |
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| Risk | 0.323855 |
| ZikaError processing SSI | 0.933228 |
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