| 4728 |
Centers for Disease Control and Prevention |
Html |
en |
Breastfeeding: Data: Breastfeeding Report Card | DNPAO | CDC |
null |
| community members | 0.342381 |
| CDC Breastfeeding Report | 0.735557 |
| public health practitioners | 0.466011 |
| key community settings | 0.446131 |
| breastfeeding practices | 0.540649 |
| interactive tool | 0.319451 |
| latest rates | 0.323935 |
| variety | 0.219206 |
| child care providers | 0.467359 |
| Trends | 0.247966 |
| Healthy People | 0.332037 |
| Card indicators measure | 0.454667 |
| obesity | 0.22431 |
| goals | 0.221083 |
| National Immunization Survey | 0.664883 |
| health professionals | 0.344178 |
|
| family members | 0.343264 |
| U.S. infants | 0.328506 |
| types | 0.221295 |
| Immunization Survey data | 0.468854 |
| DNPAO National Immunization | 0.465636 |
| state-specific data | 0.440703 |
| Breastfeeding Report Card | 0.90573 |
| Indicator Category | 0.329581 |
| view statistics | 0.321104 |
| Survey web page | 0.433228 |
| physical activity | 0.318631 |
| breastfeeding data | 0.568352 |
| support | 0.219847 |
| state-level data | 0.377912 |
| current data | 0.348232 |
| Maps database | 0.327017 |
|
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| 4991 |
Centers for Disease Control and Prevention |
Html |
en |
Radiation Emergencies - Protecting Yourself and Your Family |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| pets | 0.402189 |
| disaster situations | 0.907171 |
| local officials | 0.849797 |
| radiation emergency | 0.851651 |
|
| specific actions | 0.888701 |
| ones | 0.469126 |
| people | 0.471712 |
|
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| 7327 |
Centers for Disease Control and Prevention |
Html |
en |
Muscular Dystrophy - Duchenne/Becker Muscular Dystrophy (DBMD) - Data and Statistics |
null |
| Becker muscular dystrophy | 0.804168 |
| Romitti PA | 0.243084 |
| United States | 0.202496 |
| DBMD | 0.292806 |
| DBMD ages | 0.270801 |
| Meaney FJ | 0.200646 |
| Fox DJ | 0.330828 |
| oldest males | 0.267511 |
| muscular dystrophy | 0.964714 |
| Duchenne muscular dystrophy | 0.665046 |
| non-hispanic black males | 0.426479 |
| DMD | 0.270966 |
| average age | 0.214067 |
| probable Duchenne | 0.241329 |
| MD STARnet sites | 0.337418 |
|
| Research Network | 0.229992 |
| genetic testing results | 0.255654 |
| MD STARnet | 0.670861 |
| Non-Hispanic blacks | 0.219054 |
| Non-Hispanic whites | 0.217904 |
| males | 0.584118 |
| Muscular Dystrophy Surveillance | 0.419564 |
| Becker muscular dystrophies | 0.265398 |
| steroid treatment | 0.233162 |
| non-Hispanic white males | 0.426107 |
| medical record | 0.232341 |
| MD STARnet case | 0.239651 |
| non-Hispanic white children | 0.254617 |
| Duchenne/Becker muscular dystrophy | 0.304647 |
|
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| 7611 |
Centers for Disease Control and Prevention |
Html |
en |
Years of Potential Life Lost from Unintentional Injuries Among Persons Aged 0-19 Years - United States, 2000-2009 |
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. |
| injury prevention programs | 0.391293 |
| motor vehicle traffic | 0.447481 |
| unintentional injuries | 0.928281 |
| South Central states | 0.459102 |
| premature injury death | 0.398255 |
| annual population estimates | 0.387437 |
| YPLL rate | 0.503049 |
| national YPLL rate | 0.414903 |
| injury–related crude mortality | 0.450827 |
| YPLL rates | 0.512102 |
| transport-related injuries | 0.404343 |
| National Vital Statistics | 0.466153 |
| unintentional firearm | 0.43048 |
| unintentional injury–related crude | 0.524368 |
| injury prevention strategies | 0.524096 |
| Nagesh N. Borse | 0.440291 |
| Unintentional Injury Prevention | 0.474342 |
| persons | 0.526657 |
| lowest YPLL rates | 0.405284 |
| crude mortality rate | 0.449419 |
| Childhood Injury Prevention | 0.427331 |
| pedestrian injuries | 0.397265 |
| Unintentional injury deaths | 0.494777 |
| suffocation injuries | 0.416016 |
| United States | 0.573068 |
|
| potential life | 0.480326 |
| age group | 0.408696 |
| 100,000 | 0.400459 |
| injury mechanism | 0.42389 |
| premature death | 0.391274 |
| motor vehicle | 0.523679 |
| YPLL rate calculations | 0.41545 |
| highlights childhood causes | 0.387299 |
| 5-year age groups | 0.391076 |
| multiple cause | 0.387289 |
| injury prevention | 0.589242 |
| local health departments | 0.43696 |
| highest YPLL rates | 0.404371 |
| Unintentional childhood injuries | 0.521098 |
| adjacent states | 0.39029 |
| South Dakota | 0.43105 |
| Mountain states | 0.391692 |
| 5-year age | 0.391216 |
| young persons | 0.43718 |
| simple method | 0.390021 |
| nonfatal injuries | 0.441237 |
| American Indian/Alaska Native | 0.464873 |
| death files | 0.395018 |
| National Action Plan | 0.425231 |
|
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| 8996 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers -- Brandon's Story |
Brandon describes losing his foot, fingers, and other body parts to Buerger's disease, a disorder linked to smoking, and testifies to the strength of addiction in this video from CDC's "Tips From Former Smokers" campaign.
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://streaming.cdc.gov/vod.php?id=f81f096f08347a536dfa06c2779eb30720120516153728421
To learn more about tobacco control and prevention, go to BeTobaccoFree.gov |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| Brandon | 0.830424 |
| YouTube | 0.871802 |
|
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| 12173 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | Biosafety | CDC |
Biosafety Lab Manual for Meningitis Lab Methods. |
| laboratory areas | 0.61735 |
| disposable materials | 0.617695 |
| General laboratory cleanliness | 0.635091 |
| properly equipped laboratory | 0.664048 |
| Laboratory Biosafety Guidelines | 0.678461 |
| Disease Control | 0.616042 |
| S. pneumoniae infections | 0.608601 |
| infectious organisms | 0.618872 |
| infectious agents | 0.764059 |
| Biosafety Level | 0.611807 |
| proper biosafety training | 0.656345 |
| laboratory procedures | 0.617781 |
| Laboratory coats | 0.642678 |
| biosafety cabinet | 0.726815 |
| appropriate biosafety procedures | 0.6699 |
| Waste disposal containers | 0.659094 |
| potentially infectious items | 0.657665 |
| effective general disinfectant | 0.646238 |
| infectious materials | 0.958894 |
| occupationally acquired infections | 0.663689 |
| body fluids | 0.657287 |
| Special disposal containers | 0.604973 |
| laboratory | 0.920776 |
| laboratory-acquired meningococcal infection | 0.603069 |
|
| disinfectant labels | 0.600295 |
| sealable sharps containers | 0.605074 |
| infectious material | 0.824449 |
| household bleach | 0.617767 |
| laboratory worker | 0.610842 |
| Laboratory Standards Institute | 0.687995 |
| laboratory workers | 0.653617 |
| affected area | 0.641003 |
| laboratory work | 0.687175 |
| potentially hazardous procedures | 0.611256 |
| clinical specimens | 0.658463 |
| gloves | 0.633153 |
| hazardous materials | 0.60808 |
| laboratory-acquired H. influenzae | 0.607954 |
| infectious aerosols | 0.613891 |
| ethyl alcohol | 0.643823 |
| laboratory doors | 0.601499 |
| hand washing | 0.623055 |
| infectious waste | 0.618465 |
| protective clothing | 0.643871 |
| splatter guards | 0.601564 |
| laboratory work areas | 0.664828 |
| contaminated materials | 0.599956 |
| laboratory-acquired infections | 0.647657 |
|
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| 12398 |
Centers for Disease Control and Prevention |
Image |
null |
Measles Move Fast (616W x 1241H) |
null |
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| 13003 |
Centers for Disease Control and Prevention |
Html |
en |
Symptoms | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| future infections | 0.449937 |
| mosquito bites | 0.469387 |
| death | 0.327421 |
| additional medication | 0.438108 |
| blood tests | 0.432984 |
| fever | 0.325633 |
| chikungunya virus | 0.961183 |
| Chikungunya disease | 0.66154 |
| navigation Skip | 0.519208 |
| Zika | 0.352849 |
| similar viruses | 0.433867 |
| muscle pain | 0.464078 |
| joint swelling | 0.453933 |
| heart disease | 0.439761 |
| medical condition | 0.433333 |
| aspirin | 0.32955 |
| dehydration | 0.331582 |
| mosquitoes | 0.331794 |
| area | 0.325675 |
| list Skip | 0.522575 |
| page options Skip | 0.658069 |
| patients | 0.329246 |
| birth | 0.326688 |
| diseases | 0.32599 |
|
| non-steroidal anti-inflammatory drugs | 0.560643 |
| medicine | 0.341392 |
| newborns | 0.331379 |
| plenty | 0.326666 |
| joint pain | 0.59225 |
| people | 0.450337 |
| dengue | 0.429952 |
| common symptoms | 0.453975 |
| infected person | 0.496232 |
| symptoms | 0.509643 |
| rash | 0.334344 |
| infected mosquito | 0.686787 |
| acetaminophen | 0.336568 |
| vaccine | 0.326814 |
| healthcare provider | 0.819536 |
| high blood pressure | 0.560187 |
| medical conditions | 0.441233 |
| NSAIDS | 0.335159 |
| older adults | 0.444912 |
| severe disease | 0.443427 |
| risk | 0.35255 |
| Drink fluids | 0.43816 |
| headache | 0.330204 |
|
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| 14375 |
Centers for Disease Control and Prevention |
Html |
en |
Hunger and Behavioral Risk Factors for NoncommunicableDiseases in School-Going Adolescents in Bolivia, 2012 |
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. |
| significantly greater odds | 0.457993 |
| public health interventions | 0.455356 |
| United Nations | 0.489144 |
| vegetable consumption | 0.932331 |
| complex sample design | 0.455651 |
| SAS Institute Inc. | 0.452719 |
| nondaily fruit | 0.830884 |
| odds ratio | 0.480919 |
| daily sugar-sweetened soda | 0.585344 |
| Urban Public Health | 0.450668 |
| fully conditional specification | 0.451923 |
| lowest hunger prevalence | 0.601621 |
| global school-based student | 0.644886 |
| sugar-sweetened soda consumption | 0.740797 |
| overall survey response | 0.462516 |
| school-going adolescents | 0.489156 |
| greater odds | 0.466348 |
| behavioral risk factors | 0.778553 |
| risk factors | 0.823792 |
| World Health Organization | 0.597194 |
| body mass index | 0.459364 |
| response rate | 0.50305 |
| current tobacco users | 0.481115 |
| current alcohol | 0.513523 |
|
| various risk factors | 0.461705 |
| highest hunger prevalence | 0.59786 |
| hunger | 0.987769 |
| traditional behavioral risk | 0.483494 |
| school response rate | 0.455376 |
| household food insecurity | 0.930803 |
| communicable disease burden | 0.468721 |
| current tobacco | 0.889143 |
| hunger contributes | 0.532655 |
| adequate physical activity | 0.477893 |
| Bolivia | 0.580603 |
| nationally representative survey | 0.469468 |
| school-based student health | 0.644662 |
| public health | 0.455414 |
| multivariable logistic regression | 0.612557 |
| AOR | 0.54175 |
| Student Health Survey | 0.640592 |
| sample design | 0.472783 |
| hunger status | 0.542236 |
| growth reference data | 0.465214 |
| physical activity | 0.516516 |
| Health Organization child | 0.472352 |
| school meal programs | 0.545536 |
| poorer general health | 0.459541 |
|
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| 15332 |
Centers for Disease Control and Prevention |
Html |
en |
Motor Vehicle Crash Deaths | VitalSigns |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| great public health | 0.630669 |
| car seat | 0.712177 |
| major risk factors | 0.608381 |
| booster seat | 0.71973 |
| 20th century | 0.567768 |
| high—income countries* | 0.563794 |
| MV PICCS | 0.556126 |
| comparison countries | 0.685465 |
| size-appropriate car seats | 0.62843 |
| risk factors | 0.622929 |
| direct medical costs | 0.722438 |
| Support traffic safety | 0.603899 |
| Police officers | 0.559887 |
| crash deaths | 0.990686 |
| motor vehicle safety | 0.617856 |
| booster seats | 0.675968 |
| car seats | 0.668743 |
| safe teen driving | 0.607207 |
| population size | 0.55818 |
| crash death rate | 0.687055 |
| New Zealand | 0.56321 |
| View large image | 0.609496 |
| impaired driving | 0.56818 |
| high—income countries | 0.57127 |
| Motor Vehicle Prioritizing | 0.614985 |
|
| Lower death rates | 0.621596 |
| seat belts | 0.739706 |
| high-income countries | 0.71647 |
| Obey speed limits | 0.729701 |
| cell phone | 0.620922 |
| motor vehicle | 0.777901 |
| motor vehicle injury | 0.618714 |
| vehicle crash deaths | 0.772238 |
| registered vehicles | 0.561083 |
| pre-set low limit | 0.610104 |
| drunk driving | 0.686149 |
| text description | 0.559679 |
| federal partners | 0.558763 |
| United Kingdom | 0.622323 |
| Zero—a road safety | 0.602567 |
| lower BAC levels | 0.615541 |
| define drunk driving | 0.612882 |
| visible police presence | 0.599264 |
| average rate | 0.562187 |
| seat belt | 0.918047 |
| highest death rate | 0.614677 |
| enforcement seat belt | 0.717071 |
| high percentage | 0.56533 |
| motor vehicle crashes | 0.644561 |
|
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