| 4588 |
Centers for Disease Control and Prevention |
Html |
en |
FluAid Special Edition: Questions & Answers |
null |
| CDC Web site | 0.391019 |
| data | 0.370742 |
| public health interventions | 0.398483 |
| pandemic | 0.517532 |
| health outcomes | 0.386549 |
| outpatient visits | 0.546192 |
| Disease Control | 0.354785 |
| similar age | 0.351749 |
| HHS Pandemic Influenza | 0.51173 |
| estimates | 0.442334 |
| high-risk conditions | 0.350514 |
| chronic medical conditions | 0.448951 |
| specific age groups | 0.383941 |
| Health Interview Survey | 0.391016 |
| age groups | 0.417239 |
| software programs | 0.353476 |
| chronic medical conditions* | 0.387472 |
| probable total number | 0.41118 |
| FluAid Special Edition—that | 0.416403 |
| H1N1 pandemic | 0.416329 |
| 2009 pandemic | 0.40194 |
| high risk | 0.384205 |
| PM ET | 0.35522 |
| 1968 pandemic | 0.413115 |
|
| 1968-type pandemic | 0.412563 |
| FluAid Special Edition | 0.926805 |
| public health planners | 0.398622 |
| age groupings | 0.348868 |
| influenza pandemic plan | 0.50985 |
| probable range | 0.360731 |
| severe attack rate | 0.374728 |
| pre-existing medical conditions | 0.397316 |
| health outcome rates | 0.379441 |
| potential impact | 0.541541 |
| state-specific plan | 0.35574 |
| probable impact | 0.385816 |
| influenza season | 0.471275 |
| attack rate | 0.384777 |
| cases | 0.356231 |
| H1N1 influenza | 0.391806 |
| H1N1 flu pandemic | 0.512728 |
| 1918-type pandemic | 0.411779 |
| http://www.cdc.gov/flu/tools/fluaid/) contains | 0.351288 |
| pre-existing chronic | 0.390474 |
| most-likely number | 0.349244 |
| various gross attack | 0.37983 |
| probable number | 0.399552 |
| H1N1 flu outbreak | 0.394702 |
|
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| 7286 |
Centers for Disease Control and Prevention |
Html |
en |
Hepatitis B FAQs for the Public | Division of ViralHepatitis | CDC |
null |
| immune globulin | 0.348236 |
| acute Hepatitis | 0.558124 |
| entire vaccine series | 0.355186 |
| chronic Hepatitis B. | 0.496498 |
| Hepatitis B vaccination | 0.449593 |
| blood tests | 0.355101 |
| body | 0.391121 |
| newly occurring infection | 0.351167 |
| Hepatitis B cases | 0.478497 |
| Total Hepatitis | 0.43761 |
| children | 0.338956 |
| antibodies | 0.339635 |
| liver damage | 0.353725 |
| antibody | 0.349219 |
| liver disease | 0.356343 |
| contagious liver disease | 0.34707 |
| public health officials | 0.337774 |
| symptoms | 0.356576 |
| health problems | 0.364075 |
| Hepatitis C. | 0.460158 |
| chronic infection | 0.357048 |
| Yes. The Hepatitis | 0.431104 |
| person | 0.35948 |
| long-term liver problems | 0.343549 |
| Hepatitis B treatment | 0.435168 |
|
| new hepatitis | 0.458617 |
| United States | 0.41687 |
| Hepatitis B-related liver | 0.46328 |
| 6-month period | 0.35389 |
| Hepatitis B. | 0.589582 |
| cause hepatitis | 0.459627 |
| acute Hepatitis B. | 0.452154 |
| Hepatitis B vaccine | 0.669171 |
| combination vaccine | 0.339064 |
| hepatitis b virus | 0.774351 |
| viral hepatitis | 0.458784 |
| hepatitis b surface | 0.449105 |
| vaccine series | 0.409334 |
| health | 0.366571 |
| hepatitis | 0.9533 |
| people | 0.444873 |
| blood | 0.381519 |
| virus infection | 0.422639 |
| active Hepatitis | 0.436945 |
| chronic hepatitis | 0.670198 |
| Hepatitis B infection | 0.458305 |
| Hepatitis B Core | 0.444517 |
| Hepatitis B Viral | 0.435834 |
| liver cancer | 0.352068 |
|
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| 7594 |
Centers for Disease Control and Prevention |
Html |
en |
TB Fact Sheets - Testing for Tuberculosis (TB) |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| latent TB infection | 0.729206 |
| previous TST | 0.238446 |
| United States | 0.246865 |
| TST work | 0.214627 |
| health care provider | 0.328564 |
| TB disease | 0.82879 |
| positive TST result | 0.238055 |
| positive tst | 0.275554 |
| TB infection testing | 0.340006 |
| BCG shot | 0.202863 |
| TB bacteria | 0.92892 |
| health care | 0.410242 |
| IGRA test instructions | 0.207942 |
| TB test | 0.305704 |
|
| health care worker | 0.338065 |
| TB vaccine | 0.321853 |
| positive igra | 0.203609 |
| people | 0.239132 |
| tuberculin skin test | 0.216251 |
| Negative TST | 0.205496 |
| IGRA | 0.25405 |
| additional tests | 0.202877 |
| TST | 0.383496 |
| positive IGRA result | 0.202185 |
| person | 0.38174 |
| TB coughs | 0.345678 |
| TB blood tests | 0.358591 |
|
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| 8473 |
Centers for Disease Control and Prevention |
Html |
en |
Hispanics/Latinos - For Specific Groups - Tips From Former Smokers - Smoking & Tobacco Use |
Smoking-related statistics, information, and quitting resources specific to the Hispanic/Latino community. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Medicaid enrollees | 0.645047 |
| health plans | 0.603174 |
| Quit Guide | 0.688964 |
| exfumadores | 0.435735 |
| lung cancer | 0.612266 |
| —the | 0.454389 |
| teeth | 0.628406 |
| Latino heritage | 0.654662 |
| area | 0.465328 |
| gums | 0.515887 |
| Mariano | 0.510838 |
| quit plan | 0.684736 |
| Florida | 0.439217 |
| Beatrice | 0.508382 |
| State Medicaid programs | 0.775578 |
| Illinois | 0.440362 |
| Texas | 0.438435 |
| cigarettes | 0.444987 |
| open heart surgery | 0.80263 |
| Quitline coaches | 0.60563 |
| page | 0.435395 |
| women | 0.44301 |
| heart attack | 0.613181 |
| death | 0.443271 |
| United States | 0.647389 |
|
| Felicita | 0.513865 |
| face-to-face counseling sessions | 0.790663 |
| adults | 0.443432 |
| Rose | 0.465655 |
| dejar | 0.436012 |
| life | 0.438777 |
| quit-smoking treatments | 0.827539 |
| additional Quitting Resources | 0.810377 |
| heart disease | 0.649689 |
| causes | 0.443294 |
| coverage | 0.436047 |
| New York | 0.63487 |
| Consejos | 0.435755 |
| chance | 0.436085 |
| Medicare | 0.437362 |
| brain | 0.437328 |
| Hispanics/Latinos | 0.479088 |
| Real Stories section | 0.78949 |
| Cigarette smoking increases | 0.982683 |
| ¡Estoy listo para | 0.818198 |
| Tips Spanish site | 0.774089 |
| Tips participants | 0.604466 |
| risk | 0.443425 |
| family | 0.440878 |
|
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| 10594 |
Centers for Disease Control and Prevention |
Html |
en |
Bipolar Disorder - Mental Illness - Mental Health Basics - Mental Health |
null |
| treatment | 0.43646 |
| tendency | 0.454477 |
| high potential | 0.605488 |
| sleeplessness | 0.476836 |
| psychotherapy | 0.444267 |
| manic-depressive disorder | 0.632149 |
| navigation Skip | 0.800489 |
| bipolar disorder | 0.756761 |
| self-importance | 0.477083 |
| Andreasen | 0.46673 |
| http://www.nimh.nih.gov/health/index.shtml | 0.436344 |
| medications | 0.444498 |
| mental health/mental illnesses | 0.776911 |
|
| grandiosity | 0.43783 |
| episodes | 0.49096 |
| thoughts | 0.437677 |
| major mood disorder | 0.805766 |
| list Skip | 0.797831 |
| adverse consequences.2 | 0.619004 |
| page options Skip | 0.991249 |
| speech | 0.437586 |
| activities | 0.437343 |
| exaggerated assessment | 0.635856 |
| Mania | 0.448349 |
| irritable mood | 0.660427 |
| depression | 0.488115 |
|
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| 11114 |
Centers for Disease Control and Prevention |
Html |
en |
2012 National Report on Biochemical Indicators of Diet and Nutrition - Infographic |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| spinach | 0.283866 |
| specific measures | 0.411001 |
| Human Services | 0.368346 |
| body | 0.265914 |
| non-Hispanic black women | 0.6673 |
| U.S. Department | 0.48671 |
| egg yolks | 0.366426 |
| pregnant women | 0.452877 |
| Disease Control | 0.370307 |
| nutrition status | 0.406903 |
| non-Hispanic white Americans | 0.697241 |
| healthy bones | 0.378725 |
| results | 0.267899 |
| Biochemical Indicators | 0.367375 |
| important vitamins | 0.40117 |
| Mexican Americans | 0.4062 |
| lower iodine levels | 0.654064 |
| Women ages | 0.403827 |
| preventable cause | 0.382379 |
| vitamin D deficiency | 0.884911 |
| Dietary Guidelines | 0.373779 |
| lower levels | 0.37222 |
| cereal grain products | 0.536496 |
| non-Hispanic white children | 0.648003 |
| intellectual disability | 0.383723 |
|
| folic acid fortification | 0.630312 |
| important roles | 0.362732 |
| dietary supplement | 0.390909 |
| age group | 0.379993 |
| low-fat dairy products | 0.524177 |
| good news | 0.408207 |
| white beans | 0.362361 |
| red meat | 0.35847 |
| normal development | 0.3787 |
| u.s. population | 0.550022 |
| folic acid | 0.93516 |
| Mexican American children | 0.503293 |
| non-Hispanic black Americans | 0.699377 |
| National Report | 0.374784 |
| seafood | 0.260358 |
| Nutrition Report | 0.412968 |
| birth defects | 0.543127 |
| fatty fishes | 0.373281 |
| Iodine deficiency | 0.570209 |
| non-Hispanic white women | 0.668574 |
| baby | 0.265753 |
| iron | 0.371236 |
| CDC report | 0.779139 |
| risk | 0.35445 |
|
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| 13558 |
Centers for Disease Control and Prevention |
Video |
en |
Prenatal Radiation Exposure | Video |
During a radiation emergency, people may be exposed to large amounts of “high energy” radiation – much more than we get from everyday exposure like x-rays. Exposure to large amounts of high energy radiation or “ionizing radiation,” can cause harmful health effects in people. A developing fetus is especially sensitive to radiation exposure, particularly in the early stages of pregnancy. Other videos focused on possible health effects of radiation emergencies can be found here:
http://emergency.cdc.gov/radiation/protectiveactions.asp
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/wcms/videos/low-res/NCEH/2015/prenatal_radiation_exposure_922308.mp4 |
| Prenatal Radiation Exposure | 0.992873 |
|
|
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| 14298 |
Centers for Disease Control and Prevention |
Html |
en |
Prevention Partnerships | CDC Features |
The STRYVE Action Council is a partnership to prevent youth violence |
| CDC | 0.385676 |
| National Centers | 0.337818 |
| Comprehensive Technical Package | 0.366653 |
| STRYVE Online | 0.340314 |
| prevention decision-making | 0.345634 |
| public health problems | 0.372193 |
| multi-sector group | 0.35243 |
| considerable harm | 0.342913 |
| youth violence prevention | 0.785304 |
| National Center | 0.33549 |
| Safe States Alliance | 0.364055 |
| STRYVE Action Council | 0.6831 |
| in-kind support | 0.335817 |
| comprehensive approaches | 0.335952 |
| common objective | 0.340708 |
| social service sectors | 0.36305 |
| violence prevention messages | 0.42425 |
| affiliate organizations | 0.335393 |
| Current Action Council | 0.385847 |
| national level | 0.33694 |
| violence prevention strategy | 0.436205 |
| Action council member | 0.383985 |
| Injury Prevention | 0.342617 |
| Associated Risk Behaviors. | 0.368697 |
| action council | 0.753619 |
|
| 2-year action plan | 0.373517 |
| young people | 0.378949 |
| young victims | 0.33663 |
| programmatic expertise | 0.338249 |
| action council members | 0.499117 |
| youth violence | 0.961338 |
| local health departments | 0.367822 |
| contact Nadine Doyle | 0.363302 |
| law enforcement | 0.335663 |
| public health | 0.497983 |
| violence prevention plan | 0.434377 |
| current policy environment | 0.363146 |
| Multi-sector partnerships | 0.346514 |
| community residents | 0.338985 |
| online space | 0.335948 |
| economic health | 0.341897 |
| national initiative | 0.336662 |
| action council network | 0.3853 |
| best available evidence | 0.366992 |
| public health problem | 0.381903 |
| practice shows | 0.338593 |
| violence prevention efforts | 0.431266 |
| multi-sector consortium | 0.34347 |
| public health sector | 0.371591 |
|
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| 15810 |
Centers for Disease Control and Prevention |
Image |
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Prediabetes Infographic |
null |
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|
CLICK HERE |
| 15954 |
Centers for Disease Control and Prevention |
Html |
en |
Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| Medical Expenditure Panel | 0.900778 |
| large employer | 0.532113 |
| data | 0.56848 |
| union membership | 0.522068 |
| total missed workdays | 0.533486 |
| significantly greater absenteeism | 0.514681 |
| MarketScan | 0.748095 |
| number | 0.530806 |
| MEPS prevalence | 0.512489 |
| annual absenteeism costs | 0.557829 |
| health care claims | 0.581944 |
| Annual Total Absenteeism | 0.512138 |
| Expenditure Panel Survey | 0.757657 |
| data sources | 0.545966 |
| risk factors | 0.901619 |
| MarketScan respondents | 0.527538 |
| absenteeism | 0.724572 |
| MarketScan estimates | 0.524365 |
| condition-specific absenteeism costs | 0.539396 |
| chronic disease | 0.682784 |
| absenteeism costs | 0.707791 |
| employees | 0.525088 |
| MarketScan commercial claims | 0.53066 |
| MEPS | 0.661331 |
|
| MEPS data | 0.548195 |
| MEPS sample | 0.530801 |
| MEPS regression estimates | 0.523698 |
| excess absenteeism | 0.538277 |
| physical inactivity estimates | 0.513834 |
| MarketScan commercial encounters | 0.514016 |
| health risk factors | 0.657225 |
| excess missed workdays | 0.797268 |
| small employer | 0.518405 |
| commercial health care | 0.581949 |
| multiple risk factors | 0.531666 |
| data sets | 0.544514 |
| privately insured individuals | 0.609303 |
| absenteeism estimates | 0.540526 |
| de-identified convenience subpopulation | 0.592944 |
| chronic diseases | 0.856865 |
| Health MarketScan database | 0.542728 |
| zero-inflated Poisson regression | 0.531941 |
| care claims database | 0.531622 |
| employee absenteeism | 0.530339 |
| MarketScan sample | 0.51385 |
| MarketScan Health Risk | 0.571341 |
| MarketScan absenteeism estimate | 0.592251 |
| MEPS prevalence rates | 0.510535 |
|
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