| 1331 |
Centers for Disease Control and Prevention |
Html |
en |
Be Ready for Radiation Emergencies | CDC Features |
Would you be ready if there were an emergency? Be prepared: throughout September there will be activities across the country to promote emergency preparedness. |
| pets | 0.436205 |
| news alert announces | 0.597386 |
| hospitals | 0.429828 |
| National Oceanic | 0.489879 |
| hand crank emergency | 0.585339 |
| life-threatening condition | 0.487284 |
| radiation experts | 0.601224 |
| mild effects | 0.499026 |
| family member | 0.487217 |
| body | 0.435134 |
| acute illness | 0.493474 |
| latest information | 0.486323 |
| building | 0.465621 |
| Saturday night | 0.506127 |
| loved ones | 0.513658 |
| nuclear power plant | 0.597108 |
| large amounts | 0.506224 |
| dangerous levels | 0.489583 |
| exposure | 0.435246 |
| schools | 0.431971 |
| radioactive materials | 0.514947 |
| plans | 0.428554 |
| outer layer | 0.490488 |
| skin burns | 0.494592 |
| emergency responders | 0.563123 |
|
| nursing homes | 0.573754 |
| additional instructions | 0.491602 |
| shelter | 0.432375 |
| harmful radiation | 0.612107 |
| community leaders | 0.488877 |
| emergency response officials | 0.589628 |
| adverse health effects | 0.581113 |
| emergency situation | 0.507662 |
| right steps | 0.496299 |
| ways | 0.433062 |
| large doses | 0.499603 |
| radioactive material | 0.709737 |
| emergency officials | 0.522066 |
| place | 0.428331 |
| social media | 0.487782 |
| harmful radioactive material | 0.593264 |
| weather radio | 0.487993 |
| nursing home | 0.487179 |
| Atmospheric Administration | 0.487366 |
| radiation emergency | 0.957537 |
| dirty bomb | 0.505917 |
| skin reddening | 0.49792 |
| time | 0.43382 |
| facilities | 0.432297 |
|
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| 5150 |
Centers for Disease Control and Prevention |
Html |
en |
Kansas Activities to Prevent HAIs |
null |
| ELC Funding | 0.656926 |
| MPEG | 0.266466 |
| monthly update | 0.786146 |
| email address | 0.955736 |
| different file formats | 0.696754 |
| Affordable Care Act | 0.716454 |
| Epidemiology | 0.369489 |
| recent work | 0.753958 |
|
| PDF | 0.254621 |
| infectious disease | 0.809645 |
| PPT | 0.282583 |
| Laboratory Capacity | 0.807812 |
| Infectious Diseases | 0.831011 |
| DOC | 0.263823 |
| page | 0.326008 |
|
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| 5362 |
Centers for Disease Control and Prevention |
Html |
en |
Minority Health Surveillance- REACH U.S. 2009 | CDC Features |
Substantial racial/ethnic health disparities exist in the United States. Although racial/ethnic minorities are growing at a rapid pace, large-scale community-based surveys and surveillance systems designed to monitor the health status of minority populations are limited. |
| highest median percentage | 0.712771 |
| United States | 0.358336 |
| Asian/Pacific Islander women | 0.482105 |
| individual level changes | 0.429719 |
| median influenza vaccination | 0.633204 |
| Risk Factor Surveillance | 0.458397 |
| lowest Pap smear | 0.446839 |
| corresponding MMSA | 0.460765 |
| national median percentage | 0.689118 |
| minority populations | 0.523847 |
| black communities | 0.381732 |
| Asian/Pacific Islander | 0.495109 |
| median percentages | 0.556246 |
| AI communities | 0.393242 |
| Factor Survey | 0.468269 |
| surveillance systems | 0.351394 |
| physical activity recommendations | 0.440268 |
| self-reported hypertension | 0.346906 |
| median percentage | 0.923257 |
| Community Health | 0.372837 |
| lowest percentages | 0.349965 |
| 50 states | 0.448798 |
| AI men | 0.371226 |
| micropolitan statistical area | 0.45983 |
|
| Risk Factor Survey | 0.441451 |
| community-level survey data | 0.441393 |
| American Indian women | 0.451614 |
| median prevalence | 0.599763 |
| Pneumococcal vaccination rates | 0.424049 |
| high prevalence | 0.355608 |
| racial/ethnic minorities | 0.353038 |
| ethnic minority communities | 0.509745 |
| minority communities | 0.847482 |
| lower percentage | 0.383537 |
| health status | 0.606508 |
| Self-reported data | 0.364605 |
| address-based sampling design | 0.467274 |
| Hispanic communities | 0.368906 |
| leisure-time physical activity | 0.457683 |
| national estimates | 0.347196 |
| high blood pressure | 0.432248 |
| culturally tailored strategies | 0.425245 |
| racial/ethnic health disparities | 0.495297 |
| self-perceived health status | 0.449982 |
| Risk Factor | 0.460055 |
| black women | 0.374451 |
| large-scale community-based surveys | 0.477099 |
|
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| 6545 |
Centers for Disease Control and Prevention |
Html |
en |
Imported Human Rabies - New Jersey, 2011 |
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. |
| rabies virus variant | 0.613288 |
| rabies surveillance | 0.396947 |
| infection prevention program | 0.206654 |
| CDC | 0.205052 |
| Danielle M. Tack | 0.242855 |
| human rabies patient | 0.511995 |
| National canine rabies | 0.456223 |
| U.S. canine rabies | 0.463882 |
| dog-transmitted rabies | 0.402743 |
| rabies testing | 0.482625 |
| Zoonotic Infectious Diseases | 0.257455 |
| animal exposure | 0.303913 |
| Rabies education | 0.400377 |
| rabies virus variants | 0.592039 |
| possible rabies | 0.464973 |
| bat rabies virus | 0.471811 |
| human rabies infections | 0.455721 |
| standard infection control | 0.278895 |
| rabies virus | 0.996586 |
| Haiti | 0.221637 |
| Rabies virus antigens | 0.497844 |
| complete animal exposure | 0.214859 |
| progressive encephalitis | 0.213272 |
| United States | 0.403979 |
|
| New Jersey emergency | 0.208014 |
| Rabies Control Blueprint | 0.44431 |
| rabies prevention | 0.448781 |
| human rabies | 0.701247 |
| herpes simplex virus | 0.219842 |
| rabies virus exposure | 0.511559 |
| public health professionals | 0.225413 |
| human rabies cases | 0.634184 |
| public health | 0.310238 |
| infection control practices | 0.253153 |
| differential diagnosis | 0.235848 |
| New Jersey Department | 0.220329 |
| public health investigation | 0.297622 |
| Overlook Medical Center | 0.26524 |
| rabies diagnostics | 0.422527 |
| nuchal skin biopsy | 0.25957 |
| Hospital Infection Control | 0.211204 |
| New Jersey | 0.396741 |
| hospital staff members | 0.255607 |
| canine rabies virus | 0.832001 |
| canine rabies exposure | 0.459423 |
| West Nile virus | 0.221055 |
| infection control procedures | 0.277924 |
| rabies exposure | 0.459615 |
|
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| 8450 |
Centers for Disease Control and Prevention |
Html |
en |
Ellie's Biography - Ellie's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Ellie, had asthma attack triggered by secondhand smoke, who is featured in CDC's Tips from Former Smokers campaign. |
| feet | 0.446509 |
| mid-thirties | 0.450029 |
| smell | 0.446824 |
| trouble breathing | 0.621158 |
| moment | 0.440776 |
| bar | 0.493858 |
| person smoking | 0.601535 |
| car | 0.441191 |
| bartender | 0.452431 |
| secondhand smoke | 0.792838 |
| Ellie | 0.954685 |
| family members | 0.592493 |
| asthma attacks | 0.83279 |
| smoke-free environment | 0.594497 |
| middle | 0.442306 |
| twenties | 0.445467 |
| 10-foot personality | 0.647111 |
| night | 0.479269 |
| change | 0.442931 |
| health | 0.493427 |
|
| hospital visits | 0.607953 |
| asthma attack | 0.732347 |
| vivid memories | 0.596792 |
| strangers | 0.443133 |
| windows | 0.441163 |
| people | 0.59167 |
| friends | 0.476416 |
| guitar | 0.497343 |
| active member | 0.629913 |
| doctor | 0.443372 |
| help | 0.4434 |
| LGBT communities | 0.632267 |
| trips | 0.441237 |
| household | 0.440941 |
| cigarettes | 0.571128 |
| time | 0.442997 |
| job | 0.602529 |
| choice | 0.441563 |
| smoke-free workplace | 0.599994 |
|
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| 9050 |
Centers for Disease Control and Prevention |
Html |
en |
Guinea Worm Disease - Management & Treatment |
Education and information about Dracunculiasis, also known as Guinea Worm Disease, treatment. |
| contaminated drinking water | 0.331006 |
| Guinea worm | 0.880406 |
| worm | 0.995176 |
| GWD | 0.212903 |
| Guinea worm breaks | 0.688028 |
|
| Guinea worm larvae | 0.627653 |
| drinking water sources | 0.631421 |
| secondary bacterial infections | 0.308541 |
| painful burning blister | 0.423642 |
|
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| 9148 |
Centers for Disease Control and Prevention |
Html |
en |
School Located Influenza Vaccination Info | Background |
School-Located Vaccination (SLV) - Background, Vaccination Guidelines - CDC |
| 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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| 9422 |
Centers for Disease Control and Prevention |
Html |
es |
Servicios clínicos preventivos para pacientes con riesgo de enfermedades cardiovasculares, Encuesta Nacional de Atención Médica Ambulatoria, 2005-2006 |
null |
| servicios clÃnicos | 0.754737 |
| Yoon PW | 0.492386 |
| pacientes jóvenes | 0.571774 |
| Matson-Koffman D | 0.479766 |
| Atención Médica Ambulatoria | 0.917397 |
|
| Tong X | 0.490236 |
| seguro médico | 0.723047 |
| Chronic Dis | 0.502824 |
| Schmidt SM | 0.491443 |
| profesionales clÃnicos | 0.449536 |
|
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| 13004 |
Centers for Disease Control and Prevention |
Html |
en |
Julia's Story | Real Stories | Tips From Former Smokers |
Julia smoked and got colorectal cancer. Her full story and her videos are part of CDC's Tips From Former Smokers campaign. |
| frightening news | 0.617492 |
| TV ad | 0.607244 |
| abdomen | 0.462231 |
| sickness | 0.451456 |
| Mark share | 0.59609 |
| mom | 0.444831 |
| smokers | 0.525762 |
| danger | 0.52184 |
| colon exam | 0.677347 |
| chemotherapy | 0.453818 |
| eyes | 0.442736 |
| smoking | 0.487328 |
| ostomy bag | 0.630912 |
| tip | 0.443551 |
| hospital | 0.442263 |
| military veteran | 0.605052 |
|
| waste | 0.440705 |
| pain | 0.446438 |
| colorectal cancer | 0.768817 |
| colon cancer | 0.677224 |
| diarrhea | 0.461712 |
| people | 0.441237 |
| loving Mississippi family | 0.851948 |
| Julia’s family | 0.736991 |
| young son | 0.61306 |
| Julia | 0.923866 |
| symptoms | 0.446899 |
| hole | 0.440813 |
| tumor | 0.448643 |
| intestines | 0.467601 |
| aid | 0.448028 |
| age | 0.447908 |
|
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| 13982 |
Centers for Disease Control and Prevention |
Html |
en |
Obesity Prevalence Maps 2014 |
Obesity prevalence in 2014 varies across states and territories. Learn more... |
| high school graduates | 0.34492 |
| Maps Interactive Tool | 0.316306 |
| adult obesity prevalence | 0.98315 |
| Puerto Rico | 0.222301 |
| state obesity prevalence | 0.59142 |
| adults | 0.40499 |
| highest prevalence | 0.466823 |
| college graduates | 0.234754 |
| improvement changes | 0.205282 |
| states | 0.224423 |
| West Virginia | 0.220255 |
| *Sample size | 0.431197 |
| territory adult obesity | 0.888582 |
|
| high school degree | 0.346001 |
| public health surveillance | 0.304393 |
| middle-aged adults | 0.251255 |
| obesity prevalence estimates | 0.79457 |
| Young adults | 0.245584 |
| Virgin Islands | 0.222897 |
| highest self-reported obesity | 0.576944 |
| Acrobat file | 0.460132 |
| additional state | 0.214185 |
| powerpoint slide presentation | 0.740117 |
| lowest self-reported obesity | 0.54478 |
| relative standard error | 0.699783 |
|
CLICK HERE |