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Prevent Infections During Pregnancy | CDC Features |
If you're pregnant or planning a pregnancy, there are simple steps you can take to protect your unborn baby or newborn from infections that cause serious health problems. |
| pregnant hispanic women | 0.63043 |
| health care provider | 0.5346 |
| Zika virus | 0.515289 |
| mung bean sprouts | 0.375998 |
| pregnant women | 0.938531 |
| CMV infection | 0.620649 |
| pregnant woman | 0.51073 |
| hot dogs | 0.386918 |
| possibly contaminated food | 0.490822 |
| queso fresco | 0.369305 |
| sex partner | 0.377105 |
| strep test | 0.532603 |
| oral sex | 0.376625 |
| pregnancy | 0.560951 |
| soft cheeses | 0.536613 |
| unpasteurized) milk. | 0.377724 |
| queso blanco | 0.360848 |
| health problems | 0.386632 |
| congenital CMV infection | 0.59569 |
| listeriosis | 0.637139 |
| Aedes albopictus mosquito | 0.371896 |
| queso panela | 0.362079 |
| Zika Travel Information | 0.413168 |
| infected Aedes aegypti | 0.374729 |
|
| special travel considerations | 0.36898 |
| deli meats | 0.386189 |
| lunch meat packages | 0.365893 |
| Hispanic-style soft cheeses | 0.530071 |
| lunch meats | 0.383642 |
| cuajada en terrón | 0.36836 |
| Zika virus infection | 0.413439 |
| lightly cooked sprouts | 0.375407 |
| Zika | 0.567518 |
| group b strep | 0.836765 |
| deadly Listeria food | 0.405712 |
| possible listeriosis | 0.407184 |
| muscle aches | 0.396556 |
| Zika travel notices | 0.40322 |
| queso ranchero | 0.362484 |
| Regular hand washing | 0.395772 |
| sex | 0.428428 |
| commonly recommended step | 0.394722 |
| nonessential travel | 0.374082 |
| birth defects | 0.369014 |
| commercial cottage cheese | 0.371361 |
| sex toys | 0.381802 |
| healthcare provider | 0.443027 |
| up-to-date travel recommendations | 0.365184 |
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$10 Million Awarded to Help Reduce Health Care-Associated Infections - Press Release #2: March 14, 2011 |
$10 Million Awarded to Help Reduce Health Care-Associated Infections |
| device-associated infections | 0.433265 |
| health care treatment | 0.469564 |
| knowledge gaps | 0.439982 |
| CDC experts | 0.42022 |
| new strategies | 0.384765 |
| CDC Director Thomas | 0.517959 |
| Disease Control | 0.387716 |
| health care-associated infections | 0.624303 |
| innovative research | 0.378522 |
| biggest breakthroughs | 0.377977 |
| current knowledge | 0.385898 |
| HAIs | 0.456738 |
| innovative approaches | 0.384304 |
| ultraviolet light | 0.376248 |
| prevention epicenter program | 0.907533 |
| drug-resistant infections | 0.448067 |
| future advances | 0.374082 |
| health care settings | 0.592939 |
| new pathogens | 0.386026 |
| living microorganisms | 0.37486 |
| multi-center collaborative research | 0.434675 |
| John Jernigan M.D. | 0.447067 |
| CDC Prevention Epicenter | 0.610856 |
| new ways | 0.37849 |
| joint research projects | 0.437849 |
|
| harmful germs | 0.376533 |
| new research | 0.404261 |
| healthcare-associated infections | 0.454452 |
| great impact | 0.386446 |
| new tests | 0.381798 |
| antibiotic resistance | 0.374711 |
| academic medical centers | 0.460212 |
| Prevention Epicenters investigators | 0.499156 |
| new Prevention Epicenters | 0.513793 |
| health care problems | 0.452885 |
| health care | 0.777619 |
| HAI Prevention Research | 0.476266 |
| peer-reviewed grant applications | 0.426206 |
| prevention epicenters | 0.700947 |
| health care epidemiology | 0.448129 |
| care infection prevention | 0.484082 |
| innovative strategies | 0.380237 |
| R. Frieden | 0.392207 |
| Prevention Epicenter grant | 0.548409 |
| medical care | 0.388864 |
| single academic center | 0.426908 |
| medical devices | 0.375108 |
| healthcare settings | 0.381266 |
| past decade | 0.376737 |
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Dicyclopentadienyl iron - NIOSH Pocket Guide to Chemical Hazards |
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| 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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CDC reports uneven declines in coronary heart disease by state and race/ethnicity - Press Release: October 13, 2011 |
CDC reports uneven declines in coronary heart disease by state and race/ethnicity |
| Mortality Weekly Report | 0.371985 |
| M.D. | 0.225245 |
| heart disease prevalence | 0.485126 |
| high blood cholesterol | 0.358046 |
| number | 0.241102 |
| high cholesterol | 0.281558 |
| Disease Control | 0.309208 |
| Hearts visit http://millionhearts.hhs.gov/about–mh.shtml | 0.329442 |
| decline | 0.23043 |
| Hearts national initiative | 0.340568 |
| lower respiratory diseases | 0.343493 |
| Jing Fang | 0.275536 |
| Americans | 0.317727 |
| patients | 0.226411 |
| health providers | 0.276008 |
| high risk populations | 0.356725 |
| state coronary heart | 0.402842 |
| phone survey | 0.287025 |
| MMWR report | 0.278508 |
| coronary heart disease. | 0.425235 |
| heart attack | 0.313187 |
| Factor Surveillance | 0.282043 |
| highest levels | 0.276901 |
| HUMAN SERVICES | 0.272122 |
| geographic differences | 0.273766 |
|
| heart attacks | 0.335346 |
| high blood pressure | 0.471637 |
| United States | 0.361728 |
| African Americans | 0.299731 |
| percent | 0.32442 |
| certain groups | 0.269511 |
| American Indians/Alaskan Natives | 0.478553 |
| West Virginia | 0.278373 |
| U.S. DEPARTMENT | 0.272201 |
| CDC′s Division | 0.272052 |
| cardiovascular disease | 0.29839 |
| higher risk | 0.270602 |
| CDC′s Behavioral Risk | 0.357926 |
| strokes | 0.227812 |
| Stroke Prevention | 0.270768 |
| clinical care | 0.275168 |
| uncontrolled high blood | 0.460951 |
| highest rates | 0.278057 |
| people | 0.25708 |
| Southern states | 0.277948 |
| chest pain | 0.284803 |
| Thomas R. Frieden | 0.346506 |
| older adults | 0.34341 |
| new report | 0.298019 |
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Errata: Vol. 60, No. 50 |
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. |
| mmwrq@cdc.gov. | 0.404807 |
| endorsement | 0.348913 |
| HCV NAT result | 0.931638 |
| Human Services | 0.478722 |
| assistive technology | 0.41083 |
| U.S. Department | 0.474727 |
| MMWR HTML versions | 0.462556 |
| Hepatitis | 0.316344 |
| hospital laboratory | 0.685072 |
| electronic PDF version | 0.457356 |
| e-mail | 0.334623 |
| sentence | 0.318798 |
| Contact GPO | 0.407533 |
| Kentucky | 0.316533 |
| commercial sources | 0.393157 |
| current prices | 0.387779 |
| kidney recipient | 0.500656 |
| original paper copy | 0.453949 |
| page | 0.332378 |
| paragraph | 0.339433 |
| function tests | 0.399006 |
| original MMWR paper | 0.458935 |
| U.S. Government Printing | 0.457057 |
| Superintendent | 0.317264 |
|
| assistance | 0.31779 |
| title | 0.316739 |
| MMWR readers | 0.393773 |
| character translation | 0.387906 |
| file | 0.317903 |
| Persons | 0.317965 |
| Massachusetts | 0.316525 |
| specimen | 0.403616 |
| semicolon | 0.323741 |
| format errors | 0.396173 |
| clause | 0.320407 |
| subject line | 0.401373 |
| Health | 0.330472 |
| Transplanted Organs | 0.407619 |
| typeset documents | 0.392426 |
| trade names | 0.393231 |
| official text | 0.38667 |
| Figure | 0.330546 |
| non-CDC sites | 0.390815 |
| positive HCV NAT | 0.701373 |
| report | 0.333462 |
| information | 0.317916 |
| Accommodation | 0.316752 |
| electronic conversions | 0.38616 |
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General | FAQ | NNPTC FOA | STD | CDC |
National Network of STD Clinical Prevention Training Centers (NNPTC) Funding Opportunity Announcement (FOA) |
| STD Clinical Prevention | 0.754673 |
| complex STD care | 0.977328 |
| current state AAPPS | 0.551804 |
| national centers | 0.553342 |
| Rocco J. Perla | 0.551977 |
| Quality Improvement Center | 0.587695 |
| previous funding cycle | 0.56915 |
| HHS region | 0.673372 |
| coaching healthcare settings | 0.671775 |
| Component A Regional | 0.565232 |
| regional center | 0.55758 |
| Technological Innovation center | 0.576671 |
| national coordination center | 0.841294 |
| Regional PTC faculty | 0.635664 |
| STD clinical care | 0.915168 |
| Quality Improvement experts | 0.555275 |
| regional ptcs | 0.708244 |
| persistent genital ulcers | 0.566862 |
| national center | 0.835515 |
| national ‘learning network | 0.600789 |
| Quality Improvement | 0.616094 |
| exact coverage area | 0.55852 |
| network connects STD | 0.680341 |
| C. Joseph McCannon | 0.550448 |
|
| Component B National | 0.609044 |
| STD site | 0.639035 |
| Current PTC awardees | 0.610929 |
| National Network | 0.559891 |
| regional ptc | 0.891945 |
| Level III sites | 0.587994 |
| point-of-care diagnostic testing | 0.573594 |
| rare clinical syndromes | 0.57808 |
| work plan | 0.567802 |
| clinical preventive services | 0.559474 |
| article Learning Networks | 0.559685 |
| additional states | 0.561261 |
| Level III STD | 0.732976 |
| national evaluation center | 0.698854 |
| National Technology Center | 0.625298 |
| safety net providers | 0.549668 |
| complex STD cases | 0.715773 |
| high level plan | 0.579439 |
| national STD Warmline | 0.7383 |
| STD sites | 0.638812 |
| organizational capacity section | 0.556929 |
| regional centers | 0.715179 |
| better STD | 0.60252 |
| PCN-allergic pregnant patient | 0.565947 |
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Pertussis | Whooping Cough | Diagnosis Confirmation | CDC |
Diagnosis Confirmation - Several tests are available to test for B. pertussis. Learn which to use, when to use them, and how to interpret them. |
| pertussis diagnosis | 0.761606 |
| bacterial DNA | 0.466117 |
| rapid test | 0.473521 |
| strain identification | 0.484842 |
| B. pertussis | 0.753547 |
| pertussis | 0.962632 |
| serologic assay | 0.499272 |
| unknown clinical accuracy | 0.59926 |
| PCR assay protocols | 0.746194 |
| viable bacteria | 0.490861 |
| falsely-negative results | 0.476176 |
| similar clinical symptoms | 0.642092 |
| epidemiological information | 0.481908 |
| Bordetella pertussis | 0.829314 |
| laboratory tests | 0.511501 |
| accurate results | 0.478695 |
| multiple target sequences | 0.607818 |
| cough onset | 0.865975 |
| high sensitivity | 0.497634 |
| PCR tests | 0.599257 |
| culture confirmation | 0.486996 |
| suspicious case | 0.486059 |
| United States | 0.466626 |
| gold standard | 0.502723 |
|
| simple best practices | 0.610553 |
| specific method | 0.502344 |
| respiratory pathogens | 0.489358 |
| pertussis outbreak | 0.748983 |
| clinical symptoms | 0.648946 |
| serology test | 0.51341 |
| public health labs | 0.597626 |
| Vaccine-Preventable Diseases | 0.479294 |
| excellent sensitivity | 0.506878 |
| inaccurate results | 0.479561 |
| commercial assays | 0.478458 |
| polymerase chain reaction | 0.675285 |
| public health | 0.645934 |
| testing regimen | 0.477206 |
| commercially available assays | 0.625364 |
| excellent specificity | 0.522395 |
| Pertussis Laboratory Testing | 0.843478 |
| sensitivity decreases | 0.520072 |
| Pertussis Laboratory Information | 0.844227 |
| public health importance | 0.628556 |
| false-negatives increases | 0.510686 |
| Bordetella species | 0.49974 |
| antimicrobial resistance testing | 0.642644 |
| CDC single point | 0.633889 |
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Contact Lenses | Contact Lenses | CDC |
null |
| convenient way | 0.637764 |
| people | 0.446907 |
| microbial keratitis | 0.600378 |
| vision correction | 0.611329 |
| U.S. | 0.446772 |
| medical devices | 0.594862 |
|
| failure | 0.447568 |
| Healthy Eyes | 0.611919 |
| effective form | 0.603272 |
| risk | 0.440485 |
| eye infections | 0.600019 |
| contact lenses | 0.962106 |
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Protect Your Hearing, Promote Hearing Health | CDC Features |
October is National Protect Your Hearing Month. Find out if noise at your workplace is affecting your hearing and learn how to prevent noise-induced hearing loss. Monitor noise levels and protect your hearing.
|
| noise exposure level | 0.649933 |
| HPD performance | 0.471644 |
| occupational hearing loss | 0.790496 |
| hearing protectors | 0.614063 |
| Monitor noise levels | 0.668869 |
| loud noise | 0.604447 |
| hazardous noise exposure | 0.664411 |
| hearing disorders | 0.64489 |
| overall level | 0.464075 |
| sound level meter | 0.614636 |
| cardiovascular health risks | 0.510729 |
| National Protect | 0.519452 |
| noise level increases | 0.649956 |
| Hearing Loss Prevention | 0.805206 |
| quick screening methods | 0.507537 |
| common work-related illnesses | 0.523693 |
| work-related hearing loss | 0.66815 |
| NIOSH HPD Well-Fitâ„¢ | 0.542382 |
| U.S. workers | 0.472818 |
| complete noise survey | 0.643449 |
| regular science blogs | 0.498455 |
| noise-induced hearing loss | 0.805652 |
| hearing loss | 0.990057 |
| noise exposure | 0.779866 |
| noise levels | 0.78741 |
|
| Protector Device Compendium | 0.496822 |
| United States | 0.465899 |
| dangerous noise exposures | 0.627276 |
| Loss Prevention programs | 0.510683 |
| Endocrine disrupters | 0.459861 |
| Audiometric evaluation | 0.461304 |
| constant noise | 0.586958 |
| abrupt starts | 0.45944 |
| noise | 0.816586 |
| Ototoxic chemicals | 0.459844 |
| level meter app | 0.518956 |
| loss prevention program | 0.595252 |
| Certain biological factors | 0.498411 |
| comprehensive searchable database | 0.499162 |
| noise exposures | 0.653366 |
| smartphone sound level | 0.620669 |
| HPD Well-FitTM | 0.472106 |
| NIOSH Science Blog | 0.539326 |
| level meter apps | 0.51859 |
| sound measurement apps | 0.513997 |
| Impulsiveness – noises | 0.464425 |
| hearing protection devices | 0.662702 |
| NIOSH Hearing Loss | 0.706491 |
| high economic price | 0.513723 |
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Rural Food and Physical Activity Assessment Using anElectronic Tablet-Based Application, New York,2013&ndash2014 |
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. |
| rural residents | 0.626702 |
| community food pantries | 0.591515 |
| upstate New York | 0.600421 |
| active living | 0.948503 |
| frequently captured features | 0.623682 |
| Stanford Prevention Research | 0.587705 |
| rural participants | 0.626707 |
| audio narratives | 0.789761 |
| community features | 0.609142 |
| healthy eating | 0.650434 |
| electronic tablet-based community | 0.632897 |
| Cornell University | 0.590305 |
| environment features | 0.604629 |
| common features | 0.596242 |
| Stanford Healthy Neighborhood | 0.686951 |
| healthy foods | 0.61722 |
| Public Health | 0.640389 |
| Discovery Tool | 0.944376 |
| electronic tablet–based tool | 0.60324 |
| Active Living Research | 0.589102 |
| tablet-based community assessment | 0.63388 |
| Rural Urban Commuting | 0.594104 |
| rural community-based interventions | 0.587938 |
| tablet-based assessment tool | 0.604376 |
|
| community food pantry. | 0.591991 |
| Prevention Research Center | 0.592241 |
| nontraditional food stores | 0.78077 |
| Neighborhood Discovery Tool | 0.717514 |
| Healthy Neighborhood Discovery | 0.70133 |
| urban participants | 0.610677 |
| community assessment tool | 0.66242 |
| community-based participatory research | 0.651371 |
| participants | 0.699257 |
| food environment | 0.668437 |
| New York | 0.61081 |
| rural communities | 0.594424 |
| electronic tablet-based tool | 0.591205 |
| qualitative study | 0.615073 |
| main street | 0.586902 |
| walkable destinations | 0.605205 |
| physical activity | 0.963952 |
| physical activity environments | 0.632805 |
| active living environments | 0.583944 |
| et al | 0.691594 |
| older adults | 0.58447 |
| rural settings | 0.676332 |
| follow-up focus groups | 0.605248 |
| observation form | 0.585669 |
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