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March Is National Colorectal Cancer Awareness Month |
Colorectal cancer screening saves lives. If you're 50 years old or older, talk to your doctor about getting screened. |
| ready-to-print article | 0.558652 |
| Word | 0.509684 |
| Terrence Howard shares | 0.598011 |
| abnormal growths | 0.565553 |
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| blog | 0.509067 |
| optimal ways | 0.552587 |
| radio public service | 0.599663 |
| colorectal cancer screening | 0.716824 |
| clinicians | 0.509418 |
| health professionals | 0.554745 |
| colorectal cancer | 0.953875 |
| Americans | 0.509644 |
| patients | 0.509307 |
| National Colorectal Cancer | 0.713485 |
| CDC’s Screen | 0.55411 |
| colorectal cancers | 0.672271 |
| Life Resource Toolkit | 0.596484 |
| Action Campaign | 0.554857 |
| rectum | 0.516269 |
| education courses | 0.552263 |
| Web site | 0.553429 |
| announcements | 0.509245 |
| women | 0.511013 |
|
| Excuses | 0.511596 |
| treatment | 0.510345 |
| print materials | 0.55209 |
| United States | 0.564429 |
| screening tests | 0.569794 |
| fact sheets | 0.554634 |
| cause | 0.509153 |
| video | 0.509028 |
| mother’s death | 0.551467 |
| facts | 0.509298 |
| precancerous polyps | 0.570792 |
| men | 0.511019 |
| social media | 0.553493 |
| Life quiz | 0.551621 |
| higher risk | 0.553964 |
| disease | 0.511349 |
| brochures | 0.509275 |
| quick access | 0.553682 |
| colon cancer | 0.566412 |
| television | 0.509258 |
| resources | 0.509313 |
| people | 0.543194 |
| doctor | 0.520631 |
| Risk increases | 0.557833 |
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Centers for Disease Control and Prevention |
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Influenza Antiviral Drug Resistance |
Influenza flu antiviral drug resistance - CDC |
| seasonal flu vaccination | 0.52396 |
| flu symptoms | 0.495911 |
| avian influenza | 0.50684 |
| CDC | 0.483866 |
| United States | 0.593935 |
| influenza antiviral drugs | 0.864357 |
| antiviral stockpile | 0.569115 |
| oseltamivir prevents | 0.50563 |
| Strategic National Stockpile | 0.475125 |
| flu virus | 0.663135 |
| antiviral resistance patterns | 0.657588 |
| H1N1 flu viruses | 0.600479 |
| novel influenza viruses | 0.597432 |
| influenza B viruses | 0.569585 |
| flu virus change | 0.565447 |
| flu antiviral medications | 0.684619 |
| public health | 0.477238 |
| drug oseltamivir | 0.508856 |
| NA inhibitor agents | 0.486834 |
| antiviral resistance | 0.848868 |
| NA inhibitor | 0.489293 |
| influenza pandemic | 0.513112 |
| seasonal influenza | 0.503667 |
|
| A/H1N1 viruses | 0.497281 |
| antiviral drugs | 0.966708 |
| influenza antiviral drug | 0.66677 |
| flu illness | 0.505129 |
| flu antiviral drugs | 0.718196 |
| flu viruses | 0.695757 |
| inhibitor antiviral medications | 0.641321 |
| oseltamivir resistance | 0.625028 |
| Antiviral resistance testing | 0.639166 |
| antiviral drug binds | 0.608698 |
| flu B viruses | 0.587723 |
| antiviral treatment | 0.581826 |
| neuraminidase inhibitor | 0.481109 |
| flu A viruses | 0.587953 |
| H1N1 viruses | 0.500055 |
| NA activity | 0.485458 |
| Drug-resistant viruses | 0.509049 |
| resistant viruses | 0.507459 |
| NA surface proteins | 0.486748 |
| influenza viruses | 0.783787 |
| NA proteins | 0.475004 |
| inhibitor antiviral drugs | 0.678593 |
| flu season | 0.537667 |
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Centers for Disease Control and Prevention |
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People live longer if they practice one or more healthy lifestyle behaviors - Press Release: August 18, 2011 |
CDC report finds people live longer if they practice one or more healthy lifestyle behaviors |
| healthy diet | 0.674142 |
| low-risk behaviors | 0.507342 |
| CDC’s National | 0.406307 |
| healthy behaviors– | 0.504772 |
| small percentage | 0.396354 |
| CDC study | 0.408224 |
| moderate alcohol consumption | 0.482857 |
| Disease Control | 0.406222 |
| healthy lifestyles | 0.48408 |
| Mortality Study | 0.492231 |
| Nutrition Examination Survey | 0.638673 |
| U. S. population | 0.460239 |
| researchers | 0.334649 |
| study period | 0.406879 |
| American Journal | 0.396923 |
| greater adoption | 0.386866 |
| significant progress | 0.382539 |
| National Health | 0.479928 |
| regular physical activity | 0.657408 |
| intensity physical activity | 0.470459 |
| HUMAN SERVICES | 0.389713 |
| healthy lifestyle behaviors | 0.843476 |
| moderate intensity | 0.406644 |
| Centers | 0.319105 |
| healthy behaviors | 0.986508 |
|
| moderate drinkers | 0.403036 |
| survey participants | 0.390812 |
| alcohol consumption | 0.49985 |
| regular exercise | 0.404846 |
| percent | 0.492392 |
| low-risk health behaviors | 0.595255 |
| excessive alcohol | 0.403552 |
| U.S. DEPARTMENT | 0.389816 |
| smoking | 0.361294 |
| causes | 0.336885 |
| public health communities | 0.45811 |
| public health | 0.471118 |
| All-Cause Mortality | 0.422739 |
| Mexican-Americans | 0.32115 |
| CDC’s efforts | 0.399459 |
| cardiovascular disease | 0.394639 |
| R. Frieden | 0.405919 |
| people | 0.458448 |
| substantial gain | 0.385484 |
| mortality follow-up | 0.412941 |
| NHANES | 0.330523 |
| Survey III Mortality | 0.412449 |
| 2010 Dietary Guidelines | 0.4699 |
| large percentage | 0.397348 |
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Centers for Disease Control and Prevention |
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Fetal Alcohol Spectrum Disorder Awareness - CDC Feature | CDC Features |
Drinking alcohol during pregnancy can cause FASDs. Read about Melissa’s experience with alcohol use during pregnancy. Information about the new FASD app is also provided. |
| Alcohol consumption data | 0.484739 |
| amazing musician | 0.265281 |
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| baby drinks | 0.247911 |
| drinking problem | 0.335629 |
| safe level | 0.258285 |
| kitchen area | 0.261468 |
| education resources | 0.255171 |
| latest information | 0.245773 |
| different users | 0.243273 |
| National Organization | 0.259368 |
| intellectual disabilities | 0.249949 |
| white wine | 0.254861 |
| drinking alcohol | 0.455341 |
| pregnant woman | 0.304477 |
| iPod Touch | 0.395953 |
| big deal | 0.26185 |
| FASD application | 0.28044 |
| health care providers | 0.578207 |
| FASDs | 0.457591 |
| Fetal Alcohol Syndrome | 0.521332 |
| wrong information | 0.263949 |
|
| personal stories | 0.258773 |
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| pregnancy | 0.574656 |
| Easy-to-read information | 0.258003 |
| NOFAS website | 0.250359 |
| little bit | 0.257896 |
| doctor | 0.200788 |
| alcohol spectrum disorders | 0.971489 |
| CDC’s FASD | 0.301211 |
| Apple App store | 0.415721 |
| new FASD app | 0.520235 |
| play dates | 0.265093 |
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| healthy start | 0.237195 |
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| special thanks | 0.259536 |
| fetal alcohol spectrum | 0.984651 |
| terrifying moment | 0.270419 |
| information | 0.264042 |
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| wide range | 0.251058 |
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Centers for Disease Control and Prevention |
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Respiratory Syncytial Virus Activity - United States, July2011-January 2013 |
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. |
| RSV seasons | 0.61238 |
| RSV tests | 0.604099 |
| antigen detection | 0.51113 |
| RSV activity | 0.805339 |
| Human Services | 0.532948 |
| RSV infection | 0.613541 |
| U.S. Department | 0.526774 |
| lower respiratory infections | 0.537788 |
| young children | 0.507509 |
| HHS region | 0.496865 |
| Florida RSV trends | 0.627899 |
| national RSV circulation | 0.609874 |
| regional RSV trends | 0.617571 |
| earlier season onset | 0.568109 |
| state RSV trends | 0.617186 |
| state-level RSV activity | 0.603508 |
| RSV antigen testing | 0.644432 |
| NREVSS | 0.523773 |
| public health officials | 0.5899 |
| National Respiratory | 0.514452 |
| RSV | 0.994602 |
| RSV surveillance alerts | 0.594894 |
| high risk | 0.506746 |
| laboratories | 0.495238 |
| severe RSV disease | 0.612191 |
|
| respiratory syncytial virus | 0.601148 |
| HHS regions | 0.549337 |
| regional RSV | 0.623342 |
| RSV circulation | 0.723009 |
| RSV onset | 0.765626 |
| positive RSV antigen | 0.623303 |
| RSV trends | 0.64232 |
| RSV testing | 0.598927 |
| NREVSS season | 0.519616 |
| RSV antigen tests | 0.691447 |
| low RSV activity | 0.612893 |
| Rhode Island | 0.51138 |
| New York | 0.507584 |
| RSV season onset | 0.743507 |
| Amber K. Haynes | 0.510076 |
| NREVSS onset | 0.507732 |
| long RSV season | 0.649115 |
| RSV immunoprophylaxis | 0.573442 |
| national onset | 0.538702 |
| Enteric Virus Surveillance | 0.589597 |
| earlier onset | 0.522838 |
| New Mexico | 0.509525 |
| RSV antigen | 0.724771 |
| approximate regional RSV | 0.612715 |
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Centers for Disease Control and Prevention |
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Ambiente familiar en relación al peso en niñas adolescentes, Minnesota. |
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| ambientes familiares | 0.919874 |
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Centers for Disease Control and Prevention |
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Online Newsroom | CDC Advisory | CDC Director to speak on the state of nation™s health security at the National Press Club |
CDC Director to speak on the state of nation’s health security at the National Press Club |
| Centers | 0.317581 |
| CDC Director | 0.472469 |
| death | 0.316844 |
| World | 0.334732 |
| CDC Advisory | 0.475681 |
| Prevention | 0.317526 |
| Luncheon | 0.329075 |
| Disease Control | 0.406989 |
| health security | 0.556182 |
| Frieden’s remarks | 0.464546 |
| U.S. DEPARTMENT | 0.394935 |
| causes | 0.316866 |
| Tuesday | 0.346381 |
| talk | 0.31713 |
| state | 0.335425 |
|
| Dr. Tom Frieden | 0.565408 |
| 14th Street NW | 0.48725 |
| strategies | 0.3168 |
| disasters | 0.321742 |
| Cough Heard ‘Round | 0.734966 |
| National Press Club | 0.90492 |
| imminent dangers | 0.42059 |
| (http://press.org/). | 0.392815 |
| nation’s health | 0.48906 |
| click | 0.317245 |
| security – superbugs | 0.419716 |
| HUMAN SERVICES | 0.394608 |
| CDC Online Newsroom | 0.583982 |
| health protection agency | 0.488083 |
|
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Centers for Disease Control and Prevention |
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Meningococcal Disease Update | Media Statement | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.227482 |
| meningococcal disease outbreak | 0.557122 |
| rapid breathing | 0.259405 |
| stiff neck | 0.261947 |
| face-to-face contact | 0.261421 |
| preventive measure | 0.260609 |
| appropriate steps | 0.25951 |
| investigational serogroup | 0.396773 |
| vaccination campaign | 0.26671 |
| Available data | 0.263988 |
| additional cases | 0.460216 |
| family members | 0.259601 |
| sudden onset | 0.264648 |
| Princeton University students | 0.42764 |
| social interactions | 0.260968 |
| casual contact | 0.260116 |
| serogroup B vaccines | 0.328131 |
| symptoms | 0.221065 |
| meningococcal disease | 0.932946 |
| Princeton University community | 0.370934 |
| highest risk | 0.257092 |
| local health authorities | 0.310617 |
| investigational vaccine | 0.283731 |
| laboratory analysis | 0.275597 |
| oral secretions | 0.262045 |
|
| illness onset | 0.274908 |
| Drexel University community | 0.360718 |
| new cases | 0.320061 |
| potential spread | 0.25949 |
| Antibiotic prophylaxis | 0.2734 |
| travel plans | 0.262628 |
| doses | 0.231119 |
| United States | 0.267123 |
| Princeton University | 0.702334 |
| local health department | 0.438622 |
| Drexel University case | 0.391886 |
| serogroup B vaccine | 0.389913 |
| close contact | 0.454093 |
| eligible graduate students | 0.323757 |
| outbreak strain | 0.292247 |
| genetic fingerprinting. | 0.275263 |
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| Drexel University | 0.739115 |
| Drexel University student | 0.601583 |
| urgent treatment | 0.263203 |
| recent vaccination effort | 0.321619 |
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| high percentage | 0.265755 |
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Preventing Chronic Disease | Effect of Personal Characteristics on Individual Support for Indoor Smoke-Free Air Laws, Indiana, 2008 - CDC |
Policy makers should understand the attitudes and beliefs of their constituents regarding smoke-free air legislation. The purpose of this study was to evaluate the effect of selected personal characteristics on attitudes and beliefs about secondhand smoke in Indiana and on support for smoke-free air laws. |
| indoor smoke-free air | 0.267125 |
| community smoke-free air | 0.30256 |
| comprehensive smoke-free air | 0.243023 |
| logistic regression analyses | 0.203613 |
| SHS laws | 0.254202 |
| smoke-free workplaces | 0.210193 |
| smoke-free law | 0.206479 |
| public support | 0.200732 |
| smoking | 0.236449 |
| smoke-free air laws | 0.795095 |
| public health | 0.218704 |
| SHS | 0.302068 |
| SHS exposure policies | 0.223917 |
| smoke-free air law | 0.234394 |
| worksite smoke-free air | 0.255463 |
|
| smoke-free air policies | 0.377223 |
| smoke-free bar law | 0.21357 |
| health | 0.262453 |
| clean indoor air | 0.27217 |
| statewide smoke-free air | 0.24874 |
| smoke-free air act | 0.244743 |
| SHS exposure | 0.261562 |
| county smoke-free air | 0.258522 |
| smoke-free air | 0.982273 |
| policy makers | 0.231911 |
| smoke-free air legislation | 0.618092 |
| support | 0.201028 |
| smoke-free air ordinances | 0.245745 |
| health effects | 0.220539 |
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Monitoring of Persons with Risk for Exposure to Ebola VirusDisease - United States, November 3, 2014-March 8, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| potential Ebola | 0.574862 |
| Ebola-affected West African | 0.463979 |
| Ebola treatment unit | 0.58655 |
| potential Ebola virus | 0.516733 |
| daily public health | 0.407618 |
| public health authority | 0.395273 |
| potential Ebola exposure | 0.496016 |
| Enhanced entry screening | 0.452665 |
| selected risk categories | 0.415862 |
| CDC interim U.S. | 0.394214 |
| large-scale monitoring need | 0.38996 |
| jurisdictions | 0.449703 |
| 21-day incubation period | 0.38117 |
| 3Oregon Public Health | 0.382087 |
| Health care workers | 0.387663 |
| risk categories | 0.462009 |
| monitoring | 0.611703 |
| risk categorization | 0.399625 |
| persons | 0.99494 |
| health care facilities | 0.387425 |
| public health response | 0.408217 |
| high risk | 0.559991 |
| Ebola patients | 0.493778 |
| Ebola | 0.734903 |
|
| low risk | 0.69269 |
| Puerto Rico | 0.396445 |
| health monitoring | 0.395409 |
| United States | 0.886506 |
| complete monitoring | 0.414314 |
| U.S. Virgin Islands | 0.464727 |
| Ebola monitoring program | 0.526392 |
| incomplete monitoring | 0.395258 |
| successful U.S. monitoring | 0.409623 |
| low risk caring | 0.389132 |
| public health | 0.929757 |
| U.S. Public Health | 0.407812 |
| 50 states | 0.515751 |
| potential Ebola infection | 0.4605 |
| public health actions | 0.479884 |
| symptomatic persons | 0.391491 |
| local jurisdictions | 0.396382 |
| local public health | 0.412333 |
| U.S. risk categories | 0.418974 |
| Public Health Preparedness | 0.379713 |
| public health capacity | 0.379125 |
| widespread Ebola transmission | 0.450713 |
| 21-day monitoring period | 0.52122 |
| West African countries | 0.461499 |
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