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Centers for Disease Control and Prevention |
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CDC's New Muscular Dystrophy Research | CDC Features |
CDC’s Muscular Dystrophy Surveillance Tracking and Research Network is the only population-based muscular dystrophy tracking program in the United States. This program addresses gaps in public health research of muscular dystrophy. |
| Becker Muscular Dystrophies | 0.522942 |
| large number | 0.42619 |
| Research data | 0.43173 |
| early treatment services | 0.440568 |
| Population-based tracking | 0.435088 |
| boys | 0.431555 |
| population-based muscular dystrophy | 0.668454 |
| recent research study | 0.444731 |
| muscular dystrophy | 0.95384 |
| common Duchenne | 0.455996 |
| future research | 0.443599 |
| Research Network | 0.451738 |
| MD STARnet program | 0.46038 |
| diagnostic tests | 0.424939 |
| MD STARnet | 0.541088 |
| Population-based public health | 0.454381 |
| CDC growth charts | 0.445453 |
| body mass index | 0.443532 |
| medical services | 0.424959 |
| Muscular Dystrophy Surveillance | 0.659794 |
| Dystrophy Surveillance Tracking | 0.571858 |
| growth reference standards | 0.445759 |
| newborn screening | 0.439412 |
| MD STARnet research | 0.457369 |
| rare conditions | 0.425089 |
|
| ceased ambulation | 0.433692 |
| Becker muscular dystrophy | 0.667804 |
| United States | 0.533844 |
| new research information | 0.447384 |
| duchenne muscular dystrophy | 0.828675 |
| Future research studies | 0.44343 |
| large clinics | 0.426092 |
| multiple specialists | 0.426385 |
| recent scientific papers | 0.444305 |
| Key findings | 0.423861 |
| dystrophy clinical care | 0.507085 |
| healthcare professionals | 0.444814 |
| general pediatric population | 0.441932 |
| specific geographic area | 0.445323 |
| disease course | 0.438216 |
| muscular dystrophy specialty | 0.61992 |
| MD STARnet infrastructure | 0.45378 |
| promising clinical trials | 0.441156 |
| medical care | 0.427791 |
| clinic data | 0.426103 |
| U.S. general population | 0.442533 |
| MD STARnet locations | 0.46188 |
| growth charts | 0.464414 |
| specialty clinics | 0.443281 |
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Centers for Disease Control and Prevention |
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Health Literacy Activities by State |
Health Literacy Activities by State, including state data and related links |
| health care industry | 0.458618 |
| health literacy initiative | 0.705764 |
| Minnesota Health Literacy | 0.598787 |
| Antonio Health Literacy | 0.584395 |
| literacy collaborations | 0.544181 |
| Regional Health Literacy | 0.586046 |
| Health Literacy Partnership | 0.597906 |
| Health Literacy Collaboration | 0.605063 |
| Massachusetts Health Literacy | 0.5902 |
| Health Literacy Missouri | 0.588396 |
| Wisconsin Health Literacy | 0.589646 |
| health care providers | 0.477536 |
| family literacy programs | 0.570602 |
| Health Education Center | 0.45699 |
| clear health communication | 0.47525 |
| health literacy services | 0.62002 |
| Texas health literacy | 0.582337 |
| Intercultural Health Communication | 0.459295 |
| health literacy | 0.939955 |
| Colorado Health Literacy | 0.611459 |
| low health literacy | 0.583212 |
| Oklahoma Health Literacy | 0.578493 |
| Health Literacy Coalition | 0.702502 |
| health literacy resources | 0.59695 |
| Health Literacy Kentucky | 0.59289 |
|
| Oklahoma Health Equity | 0.464436 |
| health literacy skills | 0.596542 |
| family literacy | 0.57276 |
| major public health | 0.456947 |
| Wisconsin Literacy | 0.542691 |
| Florida Health Literacy | 0.601212 |
| limited health literacy | 0.591969 |
| Health Equity Campaign | 0.464672 |
| health literacy committee | 0.578145 |
| Florida Literacy Coalition | 0.585383 |
| health care | 0.481625 |
| public health | 0.462854 |
| Health Literacy Arizona | 0.607807 |
| family literacy agencies | 0.553839 |
| Wake Health Literacy | 0.581699 |
| health literacy issues | 0.593782 |
| poor health literacy | 0.58983 |
| Arizona Health Literacy | 0.629059 |
| City Health Literacy | 0.585383 |
| health literacy focus | 0.621882 |
| health literacy activities | 0.620248 |
| Literacy Assistance Center | 0.594776 |
| Health Literacy Kansas | 0.594354 |
| Center Health Literacy | 0.589667 |
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Centers for Disease Control and Prevention |
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Losing Weight: Getting Started |
Losing weight takes more than desire. It takes commitment and a well-thought-out plan. Here's a step-by-step guide to getting started. |
| longer work | 0.546527 |
| health care provider | 0.695515 |
| freshly picked flowers | 0.674439 |
| non-food rewards | 0.548967 |
| specific goal | 0.557811 |
| short-term goals | 0.701363 |
| big results | 0.550347 |
| group exercise classes | 0.665829 |
| small changes | 0.551702 |
| effective goals | 0.580548 |
| health conditions | 0.562258 |
| goals | 0.795074 |
| realistic goals | 0.567848 |
| similar goals | 0.559674 |
| exercise facilities | 0.557656 |
| healthful recipes | 0.548853 |
| long run | 0.550284 |
| weight | 0.966021 |
| sugary foods | 0.567605 |
| weight loss group | 0.682462 |
| physical activity goals | 0.696301 |
| big step | 0.569651 |
| regular physical activity | 0.713927 |
| long term | 0.548963 |
| follow-up appointment | 0.559261 |
|
| travel schedule | 0.562903 |
| mindless eating | 0.629444 |
| achievable goals | 0.577242 |
| long-term goal | 0.554457 |
| current lifestyle | 0.567694 |
| weight-related risk factors | 0.696596 |
| food diary | 0.570781 |
| high-calorie items | 0.561816 |
| child care | 0.554514 |
| dietary changes | 0.571509 |
| healthy eating habits | 0.769844 |
| heart disease | 0.568376 |
| realistic goal | 0.555143 |
| plan group exercise | 0.662397 |
| short-term eating | 0.611443 |
| weight loss efforts | 0.929617 |
| daily reminder | 0.567048 |
| unrealistic goals | 0.581848 |
| physical activity | 0.909903 |
| best option | 0.546021 |
| well-thought-out plan | 0.588956 |
| step-by-step guide | 0.585736 |
| high blood pressure | 0.687824 |
| family history | 0.563459 |
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Centers for Disease Control and Prevention |
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NIOSH Program Portfolio : Total Worker Health : r2p |
The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders. |
| extensive investigator experience | 0.59469 |
| worker involvement | 0.542147 |
| Harvard School | 0.58958 |
| New England Research | 0.676699 |
| mental health | 0.59469 |
| Healthier Workforce Center | 0.841518 |
| Total Worker Health® | 0.656368 |
| Cancer Institute Center | 0.654868 |
| research findings | 0.949281 |
| Public health Center | 0.746606 |
| NIOSH Center | 0.648127 |
| Partners Health Care | 0.684012 |
| occupational ergonomic interventions | 0.662833 |
| reduced job stress | 0.589312 |
| safer work practices | 0.602151 |
| occupational health | 0.757129 |
| worker health promotion | 0.753729 |
| new research | 0.578007 |
| Boston University School | 0.631957 |
| cardiovascular health | 0.590589 |
| workplace solutions | 0.590514 |
| New England Workplace | 0.852729 |
| effective prevention practices | 0.654635 |
| national WorkLife Centers | 0.630171 |
|
| musculoskeletal health | 0.593116 |
| healthy workforce center | 0.792305 |
| oregon healthy workforce | 0.767044 |
| personal health risk | 0.702271 |
| employee health programs | 0.671156 |
| Iowa Healthier Workforce | 0.816246 |
| collaborative research-to-practice initiative | 0.601634 |
| NIOSH-funded research findings | 0.740257 |
| technology-based interventions | 0.53854 |
| NIOSH initiative | 0.631401 |
| Science University | 0.533523 |
| psychosocial stress hazard | 0.608432 |
| Community-Based Research | 0.565483 |
| worker protection | 0.554593 |
| Education Research Center | 0.705056 |
| Portland State University | 0.62411 |
| improved lifestyle choices | 0.586369 |
| physical health | 0.583296 |
| health promotion interventions | 0.897406 |
| research goal | 0.575456 |
| effective products | 0.531178 |
| Occupational Health Psychology | 0.700652 |
| effective NIOSH | 0.642944 |
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Centers for Disease Control and Prevention |
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CDC Online Newsroom - Give the Gift of Health and Safety: Healthy Living Holiday Tips |
Give the Gift of Health and Safety: Healthy Living Holiday Tips |
| Healthy Living Holiday | 0.86251 |
| Gift | 0.317926 |
|
| CDC Online Newsroom | 0.990683 |
| Safety | 0.317391 |
|
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| 10010 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Online Grocery Store Coupons and Unhealthy Foods, United States - CDC |
Grocery store coupons influence shoppers’ food purchases. We performed a content analysis of online store coupons from 6 national grocery chains. Of 1,056 online store coupons available during the 4-week study period, 25% were for processed snack foods, candies, and desserts (the largest category). Approximately 12% of coupons were for beverages, more than half of which were for sodas, juices, and sports/energy drinks. |
| perishable food items | 0.460772 |
| advertised food items | 0.47723 |
| dietary patterns | 0.433336 |
| consumption patterns | 0.437958 |
| coupons | 0.982439 |
| important driver | 0.437325 |
| healthy food items | 0.480938 |
| food purchases | 0.422807 |
| retail chain | 0.434383 |
| retail grocery chains | 0.476186 |
| Economic Research Service | 0.599537 |
| grocery stores | 0.442609 |
| ChooseMyPlate.gov food groups | 0.460795 |
| coupon usage rate | 0.439575 |
| grocery store purchases | 0.505851 |
| 4-week period | 0.533286 |
| Francisco General Hospital | 0.504046 |
| grocery store chains | 0.47119 |
| Agric Econ | 0.434923 |
| online coupons | 0.912448 |
| United States | 0.499856 |
| online store coupons | 0.914509 |
| average weekly purchases | 0.422206 |
| Food Marketing Institute | 0.443405 |
| public health priorities | 0.452562 |
|
| Food prices | 0.461797 |
| vegetables | 0.460897 |
| General Internal Medicine | 0.524282 |
| fruits | 0.475766 |
| manufacturer coupons | 0.585306 |
| online coupon programs | 0.50691 |
| grocery retailers | 0.530816 |
| public health | 0.644233 |
| unhealthful foods | 0.500116 |
| unprocessed meats | 0.4763 |
| food items | 0.56366 |
| national grocery chains | 0.486462 |
| San Francisco General | 0.506322 |
| San Francisco | 0.636445 |
| 4-week study period | 0.4903 |
| food purchasing behaviors | 0.462761 |
| obesity epidemic | 0.429398 |
| food items retailers | 0.491892 |
| California San Francisco | 0.438512 |
| content analysis | 0.505866 |
| public health problem | 0.428274 |
| Public Health Service | 0.429194 |
| snack foods | 0.494462 |
| Grocery store coupons | 0.762328 |
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Preventing Norovirus Outbreaks - Vital Signs Infographic |
CDC Vital Signs - Norovirus often gets attention for outbreaks on
cruise ships, but those account for only about 1%
of all reported norovirus outbreaks. |
| hands | 0.458736 |
| fact | 0.436058 |
| Health Care Facilities | 0.87051 |
| Daycare | 0.486321 |
| viral particles | 0.749485 |
| Journal | 0.436325 |
| Reporting | 0.438214 |
| Source | 0.46781 |
| food | 0.436888 |
|
| Restaurant | 0.447987 |
| Private Residence | 0.709605 |
| Medical Virology | 0.668748 |
| pin | 0.464043 |
| virus particles | 0.724141 |
| norovirus | 0.437019 |
| CDC National Outbreak | 0.923354 |
| Catering | 0.460526 |
| Schools | 0.441841 |
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Centers for Disease Control and Prevention |
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Herramientas útiles para las mujeres embarazadas y nuevas mamás |
Si está embarazada o tiene un bebé recién nacido, su vida estará llena de alegrías y de retos nuevos. Aquí encontrará algunas herramientas que la ayudarán a mantenerse sanos tanto usted como su bebé. |
| distintas maneras | 0.526827 |
| Archivo Apple Quicktime | 0.655545 |
| Archivo RealPlayer | 0.533115 |
| Archivo Zip Comprimido | 0.649806 |
| Archivo Microsoft PowerPoint | 0.691617 |
|
| Archivo Microsoft Excel | 0.657349 |
| Archivo Adobe PDF | 0.657259 |
| ipod touch | 0.550542 |
| Archivo Microsoft | 0.961411 |
|
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| 12606 |
Centers for Disease Control and Prevention |
Video |
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Video: CDC Responds to Meningitis in Burkina Faso |
Epidemics of bacterial meningitis in Africa can affect hundreds of thousands of people and kill many thousands. CDC's Dr. Rana Hajjeh describes how CDC has contributed to development of an inexpensive vaccine and is now working with partners to ensure it is used where needed most and evaluated for effectiveness.
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/globalhealth/video/meningitis/meningitis.htm |
| Burkina Faso | 0.948699 |
| CDC Responds | 0.871575 |
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Influenza Symptoms & Severity |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| influenza | 0.382268 |
| contagious respiratory illness | 0.615079 |
| death | 0.359461 |
| chronic congestive heart | 0.555386 |
| fever | 0.331785 |
| cold | 0.330283 |
| result | 0.331245 |
| times | 0.330992 |
| pregnant women | 0.438684 |
| pneumonia | 0.382028 |
| flu-related complications | 0.471746 |
| heart disease | 0.427586 |
| young children | 0.434137 |
|
| asthma attacks | 0.454114 |
| chronic medical conditions | 0.554408 |
| bronchitis | 0.335528 |
| flu viruses | 0.747292 |
| people | 0.519332 |
| flu | 0.983157 |
| healthy people | 0.430361 |
| symptoms | 0.328901 |
| chronic health problems | 0.552259 |
| sinus | 0.333766 |
| high risk | 0.438226 |
| ear infections | 0.445139 |
| severe illness | 0.469962 |
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