| 1189 |
Centers for Disease Control and Prevention |
Html |
en |
Medical Costs and Productivity Losses of Cancer Survivors -United States, 2008-2011 |
Donatus U. Ekwueme, PhD1,2, K. Robin Yabroff, PhD2,3, Gery P. |
| Medical Expenditure Panel | 0.285668 |
| Cancer Survivorship Survey | 0.38141 |
| cancer treatment | 0.286028 |
| United States | 0.34574 |
| cancer survivors group | 0.408622 |
| economic burden | 0.420319 |
| total economic burden | 0.281682 |
| female survivors | 0.366925 |
| annual productivity loss | 0.320483 |
| daily activities | 0.380576 |
| High-Quality Cancer Care | 0.317488 |
| cancer highlight | 0.280327 |
| MEPS priority conditions | 0.536988 |
| Affordable Cancer Care | 0.318003 |
| American Cancer Society | 0.304709 |
| usual daily activities | 0.364277 |
| productivity losses | 0.380687 |
| male cancer survivors | 0.520189 |
| 3National Cancer Institute | 0.307359 |
| National Cancer Institute | 0.305121 |
| cancer costs | 0.294341 |
| National Cancer Policy | 0.312294 |
| annual medical costs | 0.454356 |
| Healthcare Research | 0.302171 |
|
| health insurance coverage | 0.3325 |
| cancer care | 0.331689 |
| medical care follow-up | 0.298624 |
| MEPS response rates | 0.281757 |
| multivariable logistic regression | 0.325314 |
| cancer survivorship experience | 0.360396 |
| medical care costs | 0.312705 |
| accessing health care | 0.291365 |
| Donatus U. Ekwueme | 0.331879 |
| Cancer Workgroup | 0.303827 |
| cancer diagnosis | 0.281203 |
| annual medical expenditures | 0.492003 |
| cancer survivorship | 0.436699 |
| cancer site | 0.280662 |
| persons | 0.303566 |
| care medical services | 0.288217 |
| cancer survivors | 0.99977 |
| nonmelanoma skin cancer | 0.320835 |
| mental tasks | 0.291385 |
| productivity loss | 0.362517 |
| Cancer Prevention | 0.28102 |
| cancer history | 0.634674 |
| female cancer survivors | 0.426993 |
|
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| 7790 |
Centers for Disease Control and Prevention |
Html |
en |
Health Communication Basics |
Gateway to Health Communication - Health Communication Basics |
| Microsoft PowerPoint file | 0.541757 |
| Tip Sheets A-C | 0.577319 |
| Carbon Monoxide Poisoning | 0.531949 |
| social marketing campaign | 0.625781 |
| Microsoft Word file | 0.545252 |
| Child Passenger Safety | 0.517805 |
| Low Immunization Rates | 0.515261 |
| Cardiovascular Health | 0.553355 |
| Mexico Cross-Border Health | 0.604949 |
| Traumatic Brain Injury | 0.510469 |
| Microsoft Excel file | 0.540648 |
| Tweet Share Compartir | 0.519864 |
| Preventive Health Care | 0.599441 |
| Global Health | 0.549726 |
| page options Skip | 0.573943 |
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| different file formats | 0.543143 |
| Address Enter Email | 0.65164 |
| Health Care Fraud | 0.604422 |
| Tip Sheets V-Z | 0.559672 |
| Apple Quicktime file | 0.536827 |
| quality health communication | 0.626562 |
| public health practice | 0.583567 |
| Harmful Algal Blooms | 0.523321 |
| health communication | 0.930213 |
|
| Email Address Enter | 0.65167 |
| Intimate Partner Violence | 0.511111 |
| African American Women | 0.524156 |
| Adobe PDF file | 0.538295 |
| traditional marketing theories | 0.543217 |
| Clear Communication Index | 0.554494 |
| email address | 0.673967 |
| Search Form Controls | 0.547567 |
| social marketing | 0.687543 |
| Social Marketing Practice | 0.589341 |
| Migrant Health | 0.544644 |
| Health Communications | 0.538617 |
| Enter Email Address | 0.65161 |
| Health Marketing Basics | 0.7135 |
| Sickle Cell Disease | 0.524252 |
| Tip Sheets | 0.870887 |
| Entertainment Education Research | 0.528316 |
| Fetal Alcohol Syndrome | 0.516703 |
| Tip Sheets S-U | 0.562034 |
| S. Quarantine Stations | 0.513641 |
| Health Communication Basics | 0.695505 |
| health marketing | 0.800003 |
| Climate Change | 0.602223 |
| Infant Death Syndrome | 0.516322 |
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| 11202 |
Centers for Disease Control and Prevention |
Html |
en |
About Lab Safety at CDC |
Updates on the latest findings, reports, and news about lab safety at CDC |
| country | 0.338298 |
| CDC | 0.912781 |
| health threats | 0.50096 |
| laboratory workers | 0.488097 |
| laboratory work | 0.502983 |
| state-of-the-art laboratories | 0.516509 |
| world | 0.338182 |
| public | 0.371063 |
| health security | 0.495227 |
| America | 0.335675 |
| laboratory safety incidents | 0.669091 |
| laboratory safety efforts | 0.66594 |
| portal | 0.337222 |
|
| comprehensive internal reviews | 0.667003 |
| lives | 0.342787 |
| staff | 0.338994 |
| community | 0.338907 |
| people | 0.380237 |
| extensive laboratory guidelines | 0.655378 |
| laboratory safety | 0.751372 |
| laboratory safety site | 0.667325 |
| key link | 0.502636 |
| principles | 0.339313 |
| select agents | 0.506899 |
| 24/7 | 0.342881 |
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| 11279 |
Centers for Disease Control and Prevention |
Html |
en |
CDC’s surge response to West African Ebola Outbreak | PressRelease - Wednesday, August 6, 2014 | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| control recommendations | 0.424256 |
| meticulous care | 0.434831 |
| general public | 0.424209 |
| CDC | 0.997513 |
| Ebola infection | 0.593746 |
| Ebola disease | 0.587811 |
| CDC experts | 0.63814 |
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| neighboring countries | 0.443634 |
| careful hygiene | 0.432898 |
| CDC staff deployments | 0.762976 |
| disease control | 0.559858 |
| Alert Level | 0.433574 |
| World Health Organization | 0.557177 |
| African nations | 0.446545 |
| CDC Director Tom | 0.769172 |
| copious body fluids | 0.523626 |
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| America’s health | 0.445129 |
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| disease control experts | 0.557068 |
| global health security | 0.529004 |
|
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| fluid resistant/impermeable gown | 0.509134 |
| CDC efforts | 0.636236 |
| Sierra Leone | 0.870436 |
| disease outbreaks | 0.552765 |
| overall staff numbers | 0.526915 |
| infection control | 0.454342 |
| U.S. hospitals | 0.501802 |
| Epi Info | 0.42435 |
| Ebola cases | 0.576257 |
| Travel Notice | 0.537015 |
| viral hemorrhagic fever | 0.520598 |
| health care workers | 0.546575 |
| disposable shoe coverings | 0.515156 |
| disease detection | 0.435465 |
| CDC disease detectives | 0.758408 |
| Warning Level | 0.432329 |
| nonessential travel | 0.436432 |
| Ebola exposures | 0.576895 |
| infection prevention | 0.430753 |
| Liberia | 0.487858 |
| highest response level | 0.538798 |
| West Africa | 0.811264 |
| disease-control experts | 0.436558 |
|
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| 11671 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Team Assisting Ebola Response in Dallas, Texas | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Ebola epidemic | 0.432174 |
| healthcare providers | 0.305082 |
| CDC infection control | 0.620105 |
| CDC | 0.923542 |
| viral infection | 0.212955 |
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| infection control | 0.720473 |
| Sierra Leone | 0.331231 |
| CDC experts | 0.582607 |
| core public health | 0.613556 |
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| local health department | 0.313502 |
| Ebola case | 0.528432 |
| muscle pain | 0.319541 |
|
| infection control precautions | 0.367641 |
| Disease Control | 0.210995 |
| degrees Fahrenheit | 0.331517 |
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| local health departments | 0.654872 |
| travel history | 0.309602 |
| CDC team | 0.811738 |
| CDC Director Tom | 0.572659 |
| public health functions | 0.334171 |
| Ebola patient | 0.491742 |
| unexplained bruising | 0.372108 |
| infection control procedures | 0.40354 |
| Ebola | 0.843971 |
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| 13059 |
Centers for Disease Control and Prevention |
Html |
en |
New analysis of breast cancer subtypes could lead to better risk stratification |
Annual Report to the Nation shows that mortality and incidence for most cancers continue to decline |
| preventable cancer | 0.279601 |
| breast cancer subtypes | 0.603594 |
| breast cancer deaths | 0.406618 |
| American Cancer Society | 0.600769 |
| cancer registration | 0.265088 |
| new diagnostic categories | 0.252335 |
| NCI Web site | 0.250669 |
| cancer incidence rates | 0.475601 |
| different survival rates. | 0.256646 |
| prostate cancer incidence | 0.434692 |
| Cancer Society Chief | 0.333898 |
| Colorectal cancer incidence | 0.438953 |
| poverty level | 0.266721 |
| breast cancer treatment | 0.452208 |
| molecularly defined subtypes | 0.341802 |
| CDC Director Tom | 0.250539 |
| cancer patients | 0.268318 |
| HR+/HER2- breast cancer | 0.523316 |
| different subtypes | 0.28272 |
| incidence rates | 0.500902 |
| cancer control | 0.266113 |
| higher incidence rates | 0.392471 |
| clinically meaningful subtypes | 0.351053 |
| National Cancer Program | 0.341762 |
| Annual Report | 0.261753 |
|
| cancer mortality rates | 0.517706 |
| cancer prevention | 0.326571 |
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| NCI Director Harold | 0.260685 |
| National Cancer Institute | 0.47882 |
| North American Association | 0.386292 |
| cancer surveillance data | 0.324331 |
| overall cancer mortality | 0.370074 |
| breast cancer subtype | 0.561169 |
| central cancer registries | 0.553429 |
| aggressive breast cancer | 0.408699 |
| breast cancer | 0.995714 |
| non-hispanic blacks | 0.256588 |
| major molecular subtypes | 0.382025 |
| highest rates | 0.261783 |
| assesses breast cancer | 0.405814 |
| major cancer sites | 0.382539 |
| clinically relevant degrees | 0.259212 |
| breast cancer incidence | 0.525664 |
| lung cancer incidence | 0.435334 |
| cancer biology | 0.26816 |
| cancer incidence | 0.612482 |
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| 13157 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis for April 23, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| global polio eradication | 0.659725 |
| non-patient care staff | 0.531305 |
| neural tube defects | 0.846324 |
| nurse assistants | 0.526513 |
| poliovirus surveillance data | 0.549328 |
| work-related illness | 0.492211 |
| support resources | 0.475075 |
| Health Safety Network | 0.54063 |
| future cases | 0.531493 |
| surveillance activities | 0.489164 |
| health care personnel | 0.55273 |
| Physician reporting | 0.4665 |
| patient handling | 0.469744 |
| Polio Eradication Initiative | 0.548614 |
| complement data | 0.465222 |
| timely polio surveillance | 0.565303 |
| nurse assistant duties | 0.544836 |
| prevention programs | 0.506652 |
| new WHO guideline | 0.468693 |
| countries | 0.470584 |
| health care facilities | 0.543928 |
| global public health | 0.524877 |
| tube defects prevention | 0.576142 |
| Injury prevention measures | 0.540426 |
| CDC Media Relations | 0.924935 |
|
| violence injury rates | 0.526889 |
| primary surveillance quality | 0.542946 |
| folic acid fortification | 0.516553 |
| healthcare personnel | 0.470413 |
| Early diagnosis | 0.467807 |
| Work-related risk factors | 0.550125 |
| existing asthma | 0.479797 |
| prevention efforts | 0.474543 |
| work-related asthma | 0.562546 |
| asthma-like symptoms | 0.46711 |
| nursing jobs | 0.469525 |
| continuous improvement | 0.468048 |
| surveillance systems | 0.48845 |
| Physician recognition | 0.468158 |
| public health | 0.588692 |
| poliovirus circulation | 0.466001 |
| workplace violence injuries | 0.526569 |
| job classifications | 0.468964 |
| local public health | 0.534088 |
| web-based portal | 0.470647 |
| birth defects data | 0.567937 |
| vaccine-derived poliovirus | 0.464921 |
| Safety cultures | 0.471727 |
| polio eradication efforts | 0.55538 |
|
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| 13275 |
Centers for Disease Control and Prevention |
Video |
null |
Testing Makes Us Stronger RHOA and Fashion Queens PSA (60-second) |
In this video, cast members from Bravo’s Real Housewives of Atlanta and Fashion Queens talk about the importance of black gay men knowing their HIV status. The cast teams up with filmmaker Patrik-Ian Polk and CDC’s Testing Makes Us Stronger campaign to encourage them to get tested and, if necessary, access care and treatment. Testing Makes Us Stronger is a national campaign promoting HIV testing among black gay and bisexual men. To learn more about the campaign, visit: http://gettested.cdc.gov/stronger
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/actagainstaids/videos/campaigns/tmus/TMUS-60sec-RHOA-lo-res.mp4 |
|
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| 14012 |
Centers for Disease Control and Prevention |
Html |
en |
Tuberculosis Contact Investigations - United States,2003-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| contagious TB patients | 0.361181 |
| treatment | 0.450531 |
| latent TB infection | 0.362362 |
| Puerto Rico | 0.503762 |
| Kai H. Young | 0.258557 |
| potential TB cases | 0.326781 |
| smear-positive index patient | 0.260737 |
| United States | 0.220668 |
| index TB cases | 0.342354 |
| health care provider | 0.321341 |
| TB elimination | 0.334301 |
| culture-positive index patient | 0.259419 |
| smear-positive index patients | 0.348176 |
| smear-positive TB patient | 0.333845 |
| public health authorities | 0.253619 |
| contact investigations | 0.656038 |
| number | 0.207765 |
| TB contact investigations | 0.604317 |
| index patient | 0.521022 |
|
| culture-positive pulmonary TB | 0.343733 |
| health departments | 0.218827 |
| index patients | 0.61104 |
| sputum smear-positive index | 0.303078 |
| smear-positive TB patients | 0.337858 |
| public health | 0.278912 |
| 50 states | 0.264708 |
| index TB patient | 0.350324 |
| TB Prevention | 0.274814 |
| culture-positive index patients | 0.349106 |
| TB cases | 0.861261 |
| infected contacts | 0.260263 |
| LTBI | 0.43842 |
| TB | 0.94044 |
| M. tuberculosis | 0.235502 |
| TB control | 0.320811 |
| local TB control | 0.304861 |
| global TB control | 0.317465 |
|
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| 16446 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| specific drug | 0.286821 |
| harm reduction approaches | 0.230853 |
| illicit opioids | 0.210009 |
| deaths.†Drug overdose | 0.206652 |
| opioid subcategories | 0.202969 |
| U.S. opioid epidemic | 0.278742 |
| age-adjusted death rates | 0.270365 |
| commonly prescribed opioids | 0.214303 |
| South Carolina | 0.20155 |
| states | 0.330766 |
| cause-of-death codes | 0.220032 |
| percentage points | 0.202319 |
| heroin death rates | 0.326373 |
| overdose death rates | 0.269049 |
| synthetic opioids | 0.595594 |
| Prescribing Opioids | 0.213799 |
| disorder treatment capacity | 0.232735 |
| law enforcement strategies | 0.230229 |
| natural/semi-synthetic opioid death | 0.214891 |
| overall drug overdose | 0.205337 |
| joinpoint regression.¶ Opioid | 0.201436 |
|
| prescription opioids | 0.223801 |
| natural/semisynthetic opioids | 0.268868 |
| heroin deaths | 0.23659 |
| law enforcement | 0.250358 |
| natural/semisynthetic opioid deaths | 0.269717 |
| specific drug differing | 0.233917 |
| overdose death rate | 0.203643 |
| drug overdose deaths | 0.957639 |
| opioid deaths | 0.290846 |
| drug overdose death | 0.459399 |
| methadone death rates | 0.315366 |
| methadone deaths | 0.230934 |
| opioid death rates | 0.389762 |
| National Vital Statistics | 0.273498 |
| natural/semisynthetic opioid death | 0.339992 |
| fewer deaths | 0.201421 |
| opioid use disorder | 0.210522 |
| overdose death certificates | 0.355323 |
| illicit opioid supply | 0.294476 |
| death rates | 0.847288 |
| opioid overdose death | 0.281969 |
|
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