| 788 |
Centers for Disease Control and Prevention |
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FluVaxView: Influenza Vaccination Coverage |
FluVaxView influenza vaccination coverage - CDC |
| NHIS | 0.426392 |
| adult vaccination | 0.697148 |
| reports | 0.423087 |
| CDC | 0.445 |
| NIS-Flu | 0.426156 |
| United States | 0.577591 |
| preventable diseases | 0.569599 |
| interactive figures | 0.55082 |
| data tables | 0.548674 |
| adults | 0.45191 |
| Health Interview Survey | 0.718987 |
| nationally representative surveys | 0.742062 |
|
| vaccination coverage | 0.864357 |
| pregnant women | 0.574214 |
| National Immunization Survey-Flu. | 0.741935 |
| Surveillance | 0.434181 |
| annual influenza vaccination | 0.964775 |
| previous influenza seasons | 0.738527 |
| Internet panel surveys | 0.697231 |
| page | 0.423374 |
| Behavioral Risk Factor | 0.745145 |
| health care personnel | 0.690502 |
| BRFSS | 0.426629 |
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World No Tobacco Day - May 31, 2014 |
The global tobacco epidemic contributed to 100 million deaths worldwide during the 20th century and continues to kill nearly 6 million persons each year, including approximately 600,000 from secondhand smoke. If current trends persist, an estimated 500 million persons alive today will die from the use of tobacco products. By 2030, tobacco use will result in approximately 8 million deaths worldwide each year. |
| tobacco consumption | 0.525878 |
| Human Services | 0.419308 |
| price policies | 0.369677 |
| MMWR HTML versions | 0.422774 |
| U.S. Department | 0.41718 |
| World No Tobacco | 0.618494 |
| American Cancer Society | 0.435801 |
| 20th century | 0.379176 |
| electronic PDF version | 0.424945 |
| tobacco | 0.733877 |
| secondhand smoke | 0.378164 |
| cost-effective means | 0.371209 |
| middle-income countries | 0.386197 |
| World Health Organization | 0.901539 |
| Contact GPO | 0.37829 |
| commercial sources | 0.368219 |
| global tobacco epidemic | 0.72034 |
| underused strategy | 0.381905 |
| current prices | 0.367952 |
| tobacco products | 0.635075 |
| World Lung Foundation | 0.444413 |
| original paper copy | 0.421114 |
| International Agency | 0.438133 |
| H. The tobacco | 0.51625 |
|
| IARC handbooks | 0.374701 |
| preventable deaths | 0.394277 |
| relative affordability | 0.377512 |
| promotes effective actions | 0.436395 |
| cancer prevention | 0.373236 |
| original MMWR paper | 0.4273 |
| U.S. Government Printing | 0.424726 |
| tobacco advertising | 0.504017 |
| current trends | 0.37931 |
| MMWR readers | 0.370016 |
| character translation | 0.365588 |
| higher taxes | 0.379552 |
| discourage young persons | 0.441243 |
| cigarette consumption | 0.374287 |
| tobacco taxes | 0.530512 |
| New York | 0.372422 |
| smoking initiation | 0.371326 |
| effective tobacco control | 0.579751 |
| typeset documents | 0.367828 |
| trade names | 0.368261 |
| official text | 0.368367 |
| non-CDC sites | 0.367165 |
| health risks | 0.385593 |
| government revenues | 0.374022 |
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Relationship of Income and Health Care Coverage to Receiptof Recommended Clinical Preventive Services by Adults - UnitedStates, 2011-2012 |
Jared B. Fox, PhD1, Frederic E. Shaw, MD, JD2 (Author affiliations at end of text). |
| NHIS | 0.369726 |
| government-sponsored health plan | 0.365019 |
| sample adult core | 0.354305 |
| U.S. Preventive Services | 0.443604 |
| prevalence ratios | 0.367011 |
| health insurance | 0.491214 |
| health plans | 0.404027 |
| significant higher prevalence | 0.365333 |
| NHIS data | 0.357665 |
| private health insurance | 0.444492 |
| Health Insurance Program | 0.377732 |
| recommended preventive care | 0.462807 |
| clinical preventive care | 0.453528 |
| NHIS survey questions | 0.360496 |
| preventive care | 0.612239 |
| family incomes | 0.382339 |
| clinical services | 0.357016 |
| cessation discussion | 0.35801 |
| receipt prevalence ratio | 0.430136 |
| public health professionals | 0.367376 |
| health care providers | 0.381363 |
| service receipt rates | 0.386928 |
| clinical preventive services | 0.770005 |
| health insurance coverage | 0.385633 |
|
| certain recommended preventive | 0.444518 |
| private health plans | 0.362367 |
| Care Act provisions | 0.372202 |
| pneumococcal vaccination | 0.422447 |
| Health Interview Survey | 0.3718 |
| preventive services receipt | 0.474644 |
| certain health plans | 0.368815 |
| Jared B. Fox | 0.358578 |
| service receipt prevalence | 0.431104 |
| Affordable Care Act | 0.711595 |
| influenza vaccination | 0.372014 |
| Indian Health Service | 0.368457 |
| current family incomes | 0.362657 |
| persons | 0.374986 |
| higher income | 0.382035 |
| Frederic E. Shaw | 0.357728 |
| smoking cessation | 0.354329 |
| preventive care provisions | 0.423835 |
| HIV testing | 0.377582 |
| human immunodeficiency virus | 0.357077 |
| preventive services provisions | 0.430549 |
| preventive services | 0.938142 |
| tetanus vaccination | 0.403692 |
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Centers for Disease Control and Prevention |
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Racial Disparities in Blood Pressure Control and Treatment Differences in a Medicaid Population, North Carolina, 2005-2006 |
null |
| North Carolina | 0.328706 |
| primary care setting | 0.258678 |
| health care provider | 0.242402 |
| antihypertensive drug classes | 0.277006 |
| medication adherence | 0.281485 |
| blacks | 0.277764 |
| whites | 0.252219 |
| sodium restriction | 0.254762 |
| North Carolina Medicaid | 0.249162 |
| Carolina Medicaid recipients | 0.24827 |
| blood pressure | 0.952405 |
| glomerular filtration rate | 0.254194 |
| body mass index | 0.254936 |
| patients | 0.334347 |
| white patients | 0.277273 |
| office visits | 0.299552 |
| above-goal blood pressure | 0.26919 |
| blood pressure control | 0.586261 |
| blood pressure initiative | 0.257123 |
| mm Hg | 0.26931 |
| blood pressure agents | 0.252698 |
| pregnancy-induced high blood | 0.247587 |
| poor blood pressure | 0.259991 |
| primary care provider | 0.273119 |
| blood pressure goals | 0.252471 |
|
| treatment goals | 0.240622 |
| obstructive pulmonary disease | 0.276425 |
| racial disparities | 0.289659 |
| Medicaid recipients | 0.282267 |
| chronic kidney disease | 0.286247 |
| white Medicaid recipients | 0.250427 |
| blood pressure goal | 0.270299 |
| weight reduction | 0.251803 |
| blood pressure measurement | 0.272109 |
| black patients | 0.245265 |
| uncontrolled blood pressure | 0.270385 |
| health care | 0.277967 |
| blood pressure care | 0.260319 |
| recent blood pressure | 0.256847 |
| clinic blood pressure | 0.251174 |
| combination antihypertensive therapy | 0.244749 |
| blood pressure treatment | 0.260359 |
| antihypertensive medication regimen | 0.258589 |
| blood pressure diagnosis | 0.25736 |
| blood pressure measures | 0.249439 |
| provider characteristics | 0.275576 |
| medical record | 0.271252 |
| high blood pressure | 0.771876 |
| primary care | 0.323356 |
|
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Centers for Disease Control and Prevention |
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L.P.G. - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 7322 |
Centers for Disease Control and Prevention |
Html |
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Vaccination Coverage Among Children in Kindergarten - UnitedStates, 2011-12 School Year |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| exemption status | 0.499579 |
| kindergarten vaccination assessments | 0.533732 |
| CDC minimum standards | 0.588268 |
| CDC immunization funding | 0.471894 |
| exemption | 0.612613 |
| median medical exemption | 0.498811 |
| vaccination coverage | 0.933123 |
| median nonmedical exemption | 0.500679 |
| public health departments | 0.471651 |
| children | 0.556639 |
| vaccination coverage compliance | 0.515048 |
| measles vaccination coverage | 0.57112 |
| school immunization requirements | 0.478883 |
| vaccination coverage levels | 0.571523 |
| vaccination assessment reports | 0.527198 |
| exemption rates | 0.550439 |
| total exemption rates | 0.531052 |
| vaccination coverage survey | 0.535014 |
| school children | 0.479859 |
| vaccination coverage data | 0.559384 |
| school vaccination coverage | 0.623203 |
| kindergarten vaccination coverage | 0.59722 |
| Vaccination status | 0.49341 |
| 2-stage cluster sample | 0.474399 |
|
| high vaccination coverage | 0.525474 |
| median total exemption | 0.499711 |
| United States | 0.49838 |
| low vaccination coverage | 0.537076 |
| measles cases | 0.51912 |
| Stacie M. Greby | 0.483373 |
| vaccination coverage rates | 0.525293 |
| final vaccination | 0.49132 |
| exemptions | 0.541234 |
| exemption levels | 0.546357 |
| annual school vaccination | 0.572229 |
| median coverage levels | 0.485627 |
| MMR vaccination coverage | 0.67277 |
| varicella vaccination coverage | 0.527884 |
| Healthy People | 0.58488 |
| grantees | 0.584484 |
| school vaccination assessment | 0.631021 |
| vaccine | 0.484931 |
| federal immunization grantees | 0.491611 |
| local level | 0.490919 |
| school vaccination rates | 0.516053 |
| median coverage | 0.490856 |
| philosophic exemptions | 0.483121 |
| exemption level | 0.499873 |
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Centers for Disease Control and Prevention |
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Lung Cancer Risk Factors |
Research has found several risk factors that may increase your chances of getting lung cancer. |
| people’s cigarettes | 0.437768 |
| trachea | 0.407872 |
| United States | 0.471312 |
| naturally occurring gas | 0.460036 |
| Lung Cancer Prevention | 0.531218 |
| poisons | 0.407923 |
| high radon levels | 0.520898 |
| Research | 0.40703 |
| lung cancer | 0.950286 |
| cigarette smoking | 0.534864 |
| Cancer survivors | 0.438736 |
| number | 0.406987 |
| testing homes | 0.431298 |
| U.S. | 0.411134 |
| acute myeloid leukemia | 0.462021 |
| children | 0.41228 |
| beta-carotene supplements | 0.432568 |
| diesel exhaust | 0.430839 |
| dietary supplements | 0.429295 |
| lung cancer survivor | 0.530095 |
| drinking water | 0.455698 |
| animals | 0.406673 |
| secondhand smoke | 0.510539 |
| pipes | 0.413322 |
|
| higher risk | 0.436479 |
| cervix | 0.407206 |
| Tobacco smoke | 0.460851 |
| risk factors | 0.443945 |
| substances | 0.41993 |
| urinary bladder | 0.434004 |
| cigars | 0.415306 |
| lower risk | 0.439696 |
| lung cancers | 0.516349 |
| people | 0.449053 |
| risk factor | 0.444366 |
| EPA’s Arsenic | 0.433999 |
| tobacco products | 0.435894 |
| private wells | 0.430888 |
| toxic mix | 0.434457 |
| chances | 0.407302 |
| person | 0.412324 |
| different foods | 0.430782 |
| radiation therapy | 0.430053 |
| renal pelvis | 0.435475 |
| risk | 0.533429 |
| information | 0.410782 |
| rectum | 0.40763 |
|
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Disease Detective's Heidi and Lindsey - CDC Responds to the 2014 Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| country | 0.415456 |
| Similar programs | 0.475328 |
| janitors | 0.419354 |
| rooms | 0.415386 |
| areas | 0.428455 |
| Associate Director | 0.473285 |
| Ebola outbreak | 0.66334 |
| CDC’s Office | 0.502716 |
| infection control program | 0.583598 |
| local health clinics | 0.569686 |
| training sponsor | 0.48499 |
| average health facility | 0.566007 |
| technical advisors | 0.478454 |
| sick patients | 0.552496 |
| protective equipment | 0.481003 |
| Date Released | 0.47528 |
| CDC Ebola Response | 0.700965 |
| general hospitals | 0.478049 |
| infection control specialists | 0.562362 |
| priority regions | 0.475321 |
| new cases | 0.475352 |
| Ebola | 0.876331 |
| Ebola epidemic | 0.706634 |
| lasting improvements | 0.472579 |
| fragile healthcare | 0.504265 |
|
| Ebola Treatment Units | 0.801772 |
| Ebola infections | 0.630591 |
| rapid spread | 0.485375 |
| frontline healthcare workers | 0.575622 |
| students | 0.451587 |
| infection control | 0.885829 |
| Sierra Leone | 0.47469 |
| Guinean healthcare workers | 0.582047 |
| Ebola cases | 0.633481 |
| Catholic Relief Services | 0.545097 |
| training people | 0.487378 |
| hands-on exercises | 0.478951 |
| Ebola information | 0.63094 |
| Heidi | 0.530008 |
| CDC scientist Lindsey | 0.612262 |
| Dr. Tom Frieden | 0.538106 |
| early symptoms | 0.485426 |
| cell phones | 0.475117 |
| latest numbers | 0.473634 |
| infection-control training course | 0.566944 |
| ambulance drivers | 0.482511 |
| healthcare workers | 0.968281 |
| West Africa | 0.547427 |
| day-to-day work | 0.481319 |
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Transcript for CDC press briefing: Few Teens Use the Most Effective Types of Birth Control |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| ePub file | 0.750582 |
| Fear Act | 0.668447 |
| Email | 0.441567 |
| Policies | 0.438863 |
| Funding | 0.459433 |
| SEARCH | 0.44664 |
| Tweet | 0.51308 |
| MENU
CDC A-Z | 0.986291 |
| Human Services | 0.631218 |
|
| OIG | 0.527567 |
| U.S. Department | 0.633008 |
| Privacy | 0.465131 |
| Clifton Road Atlanta | 0.8553 |
| RSS | 0.464662 |
| YouTube
Instagram | 0.706816 |
| Jobs | 0.439503 |
| TTY | 0.517621 |
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Survey of Blood Collection Centers and Implementation ofGuidance for Prevention of Transfusion-Transmitted Zika VirusInfection - Puerto Rico, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| blood products | 0.244272 |
| mosquito-borne Zika virus | 0.219079 |
| transfusion-transmitted Zika virus | 0.493014 |
| allogeneic RBC units | 0.284161 |
| Zika virus | 0.921806 |
| PRT | 0.235959 |
| blood collection | 0.427697 |
| active Zika virus | 0.315869 |
| blood collections cease | 0.2201 |
| FDA guidance | 0.31387 |
| apheresis platelets | 0.296351 |
| Zika virus disease | 0.220983 |
| blood collection centers | 0.316051 |
| blood collection organizations | 0.347947 |
| nucleic acid | 0.322882 |
| blood donor screening | 0.256968 |
| virus transmission spreads | 0.21869 |
| pathogen reduction technology | 0.228102 |
| National Blood Collection | 0.216585 |
| plasma units | 0.307367 |
| blood donations | 0.263126 |
| Zika virus transmission | 0.640813 |
| local blood collections | 0.378607 |
| local blood supply | 0.213935 |
| allogeneic red blood | 0.21267 |
|
| blood transfusion-transmitted cases | 0.209568 |
| apheresis platelet units | 0.226361 |
| donor blood collection | 0.222879 |
| Puerto Rico | 0.807546 |
| United States | 0.638894 |
| apheresis platelet collections | 0.212923 |
| widespread Zika virus | 0.274378 |
| Zika virus infection | 0.56232 |
| blood units | 0.240442 |
| substantial Zika virus | 0.219638 |
| continental United States | 0.52233 |
| blood components | 0.519029 |
| Puerto Rico Department | 0.226362 |
| heavily populated areas | 0.229566 |
| asymptomatic blood donors | 0.211716 |
| platelet units | 0.269763 |
| local blood supplies | 0.217088 |
| therapeutic platelet units | 0.251093 |
| blood | 0.676898 |
| sustainable blood supply | 0.216918 |
| blood supply | 0.301837 |
| blood component units | 0.225903 |
| nucleic acid testing | 0.221853 |
| local Zika virus | 0.232639 |
|
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