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Don't Let Measles Be Your Travel Souvenir | CDC Features |
Stay safe and healthy when traveling abroad. Measles spreads easily through coughing and sneezing. It can cause serious illness, even death. Make sure you and your family are vaccinated for measles before you travel. |
| health risk | 0.568997 |
| home fun souvenirs | 0.631288 |
| traveler | 0.512548 |
| best way | 0.566822 |
| photos | 0.513609 |
| coughing | 0.563152 |
| trip | 0.528908 |
| children | 0.526178 |
| majority | 0.513216 |
| multi-state outbreak | 0.573901 |
| Europe | 0.513159 |
| Africa | 0.513154 |
| diseases | 0.527963 |
| countries | 0.525044 |
| Worldwide | 0.513236 |
| California | 0.512823 |
| travelers | 0.524384 |
| unvaccinated U.S. residents | 0.621437 |
| symptoms | 0.514046 |
| dose | 0.529769 |
| outbreaks | 0.513967 |
| doses | 0.554679 |
| death | 0.515534 |
| United States | 0.636624 |
| air | 0.513488 |
|
| measles cases | 0.804003 |
| Check CDC | 0.562766 |
| sneezing | 0.54543 |
| Stay | 0.515093 |
| illness | 0.513968 |
| disease | 0.545353 |
| breathing | 0.513272 |
| Health website | 0.55949 |
| unvaccinated people | 0.563439 |
| infected person | 0.568199 |
| vaccine protects | 0.576341 |
| doctor | 0.533823 |
| rash | 0.532907 |
| international travel— | 0.568002 |
| Asia | 0.513149 |
| Pacific | 0.513139 |
| information | 0.512352 |
| amusement park | 0.567487 |
| Measles spreads | 0.830901 |
| family | 0.531212 |
| measles-mumps-rubella | 0.51711 |
| measles | 0.965053 |
| fantastic memories—NOT measles | 0.806382 |
| MMR vaccine | 0.702915 |
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Propane sultone - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Global Health - South Africa - CDC's Epidemiology and Strategic Programs |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| Annual Program Results | 0.686004 |
| HIV micro-epidemics analysis | 0.683135 |
| strategic information | 0.673929 |
| evidence-based program improvement | 0.661474 |
| surveillance strategic plan | 0.773268 |
| better understanding | 0.566518 |
| HIV epidemic | 0.589652 |
| Co-coordinated Site Monitoring | 0.672963 |
| HIV prevention | 0.589002 |
| tuberculosis programs | 0.5774 |
| Align PEPFAR | 0.553448 |
| information cooperative agreements | 0.652 |
| submission support | 0.554738 |
| strategic plan | 0.813168 |
| program planning | 0.566657 |
| AIDS Relief | 0.548454 |
| health information systems | 0.716013 |
| epidemiologic methods | 0.618259 |
| national M&E | 0.563342 |
| Provide expert | 0.553888 |
| PEPFAR SA Team | 0.675056 |
| surveillance activities | 0.604334 |
| program planners | 0.580561 |
| operational research | 0.948793 |
|
| surveillance systems | 0.668373 |
| UNAIDS country spectrum | 0.69062 |
| program initiatives | 0.559068 |
| Emergency Plan | 0.566303 |
| indicator results | 0.545709 |
| SI strategic plan | 0.696475 |
| expert technical assistance | 0.936523 |
| national surveys | 0.570783 |
| routine data | 0.583842 |
| treatment programs | 0.574123 |
| dynamic nature | 0.566237 |
| epidemiologic analysis | 0.597293 |
| data quality assessment | 0.710882 |
| non-federal site | 0.55685 |
| policy makers | 0.566846 |
| technical expertise | 0.587508 |
| public health science | 0.693739 |
| CDC South Africa | 0.724873 |
| data entry | 0.576171 |
| NDoH systems | 0.553298 |
| country-specific technical assistance | 0.693304 |
| data sharing | 0.58352 |
| operational research methods | 0.720977 |
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Data and Statistics, Autism Spectrum Disorders - NCBDDD |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| Developmental Disabilities | 0.460365 |
| average intellectual ability | 0.467375 |
| Specific genetic disorders | 0.465039 |
| United States | 0.472616 |
| developmental disability | 0.457706 |
| CDC pilot project | 0.470429 |
| fragile X syndrome | 0.465521 |
| spectrum disorder prevalence | 0.512701 |
| 8-year-old children | 0.460547 |
| significant economic burden | 0.460223 |
| developmental milestones | 0.469132 |
| board spectrum | 0.459308 |
| average medical expenditures | 0.477086 |
| non-ASD developmental diagnoses | 0.485073 |
| median expenditures | 0.466376 |
| Risch N. Genetic | 0.461928 |
| ASD | 0.652797 |
| ASD notice | 0.53247 |
| children | 0.574522 |
| Plomin R. Genetic | 0.461935 |
| ASD cost | 0.531011 |
| Autism Dev Disord. | 0.538899 |
| Oxford University Press | 0.456248 |
| CDC’s Autism | 0.557997 |
|
| young children | 0.458601 |
| autism spectrum disorders | 0.740874 |
| Developmental Disorders | 0.45777 |
| autism spectrum disorder | 0.934986 |
| annual medical costs | 0.466814 |
| standardized diagnostic instruments | 0.459318 |
| Read summary | 0.654669 |
| Read article | 0.636601 |
| Pediatr Adolesc Med. | 0.456892 |
| Sumi S. Genetic | 0.463456 |
| key findings | 0.609923 |
| new CDC research | 0.477595 |
| pervasive developmental disorder | 0.482124 |
| intensive behavioral interventions | 0.456277 |
| M. Sibling risk | 0.457232 |
| Medicaid-enrolled children | 0.459868 |
| Curr Neurol Neurosci | 0.457884 |
| 4-Year-Old Children | 0.459943 |
| ADDM Network update | 0.458594 |
| fine motor skills | 0.463467 |
| low birth weight | 0.464706 |
| new cdc funding | 0.522613 |
| Research Consortium study | 0.459831 |
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Nathan's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Nathan, a nonsmoker and Native American who contracted permanent lung damage called bronchiectasis as a result of secondhand smoke. Videos from the Tips from Former Smokers campaign feature real people suffering as a result of smoking and exposure to secondhand smoke. |
| asthma attacks | 0.395706 |
| Oglala Sioux tribe | 0.750497 |
| Nathan | 0.630748 |
| health problems | 0.32777 |
| secondhand smoke exposure | 0.960913 |
|
| Smokers® campaign | 0.350687 |
| favorite pastime—tribal dancing | 0.291637 |
| permanent lung damage | 0.68651 |
| severe asthma attacks | 0.322624 |
| CDC’s Tips | 0.365103 |
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Notifiable Diseases and Mortality Tables, April 26, 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. |
| H. influenzae | 0.385129 |
| National Center | 0.301583 |
| cases | 0.436533 |
| CDC | 0.294622 |
| novel influenza | 0.643924 |
| Total case counts | 0.467161 |
| pandemic influenza | 0.951943 |
| measles cases | 0.342141 |
| ** Data | 0.347558 |
|
| Cumulative total E. | 0.475127 |
| Influenza Division | 0.442359 |
| 2009 pandemic | 0.765397 |
| probable cases | 0.328045 |
| Respiratory Diseases | 0.308075 |
| rubella cases | 0.31017 |
| human infection | 0.329997 |
| influenza A virus | 0.477823 |
|
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Protecting Against Disease Epidemics | Digital Press Kit | CDC Online Newsroom |
Protecting Against Disease Epidemics |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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NCIRD | DBD Bulletin Fall 2013 | On Call for Diphtheria, MERS | CDC |
Division of Bacterial Diseases Bulletin Fall |
| Haiti | 0.451003 |
| request | 0.441128 |
| death | 0.446194 |
| United States | 0.918548 |
| close collaboration | 0.641928 |
| patient interviews | 0.640514 |
| outbreak investigation | 0.65033 |
| epidemiologic | 0.468138 |
| example | 0.444084 |
| visits | 0.44271 |
| local health ministries | 0.849833 |
| physicians | 0.444972 |
| pockets | 0.461991 |
| village leader | 0.639735 |
| children | 0.446155 |
| U.S. cases | 0.676235 |
| illness | 0.445862 |
| historical reasons | 0.706334 |
| Laos country office | 0.933105 |
| increasingly rare disease | 0.916784 |
| World Health Organization | 0.851272 |
|
| issue | 0.442782 |
| unique challenges | 0.666541 |
| countries | 0.481521 |
| major cause | 0.679584 |
| MVPDB staff | 0.647628 |
| people | 0.444033 |
| benefit | 0.441549 |
| Huoaphang Province | 0.638956 |
| global public health | 0.878557 |
| scientists | 0.444759 |
| light | 0.444129 |
| CDC’s diphtheria | 0.986945 |
| Content | 0.449982 |
| activities | 0.443841 |
| surveillance group | 0.645577 |
| district | 0.440395 |
| laboratory support | 0.652224 |
| page | 0.449919 |
| inadequately immunized populations | 0.967046 |
| sporadic outbreaks—cases | 0.689207 |
| large areas | 0.656746 |
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Alcohol-Impaired Driving Among Adults - United States,2012 |
Amy Jewett, MPH1; Ruth A. Shults, PhD1; Tanima Banerjee, MS2; Gwen Bergen, PhD1. |
| sobriety checkpoints | 0.363529 |
| binge drinking | 0.43727 |
| g/dL BAC laws | 0.369971 |
| higher alcohol-impaired driving | 0.429914 |
| alcohol-impaired driving episodes | 0.763102 |
| health risk data | 0.337774 |
| secondary law states | 0.341901 |
| BRFSS survey | 0.367432 |
| alcohol-impaired driving crashes | 0.494175 |
| annual episodes | 0.343988 |
| alcohol-impaired driving question | 0.431955 |
| alcohol-impaired drivers | 0.462402 |
| Midwest U.S. Census | 0.371445 |
| alcohol-impaired driving | 0.912086 |
| state seat belt | 0.355185 |
| seat belt laws | 0.380157 |
| BRFSS survey respondents | 0.341943 |
| alcohol-impaired driving episode | 0.434789 |
| U.S. Census region | 0.457375 |
| alcohol-impaired driving rates | 0.525132 |
| binge drinking episodes | 0.370941 |
| persons | 0.34514 |
| secondary seat belt | 0.376941 |
| U.S. adult population | 0.337847 |
| Behavioral Risk Factor | 0.339026 |
|
| national rate | 0.338774 |
| United States | 0.358049 |
| primary seat belt | 0.407234 |
| Ruth A. Shults | 0.341384 |
| ignition interlocks | 0.340462 |
| alcoholic beverages | 0.356547 |
| states | 0.397693 |
| blood alcohol concentration | 0.339935 |
| consistent seat belt | 0.349879 |
| random-digit–dialed telephone survey | 0.33893 |
| adult population | 0.352871 |
| crash fatalities | 0.343178 |
| alcohol-impaired driving rate | 0.4664 |
| young men | 0.360677 |
| respective weighted population | 0.338189 |
| Amy Jewett | 0.341008 |
| alcohol ignition interlocks | 0.337823 |
| seat belt | 0.594218 |
| self-reported alcohol-impaired driving | 0.428387 |
| Alcohol-impaired driving prevalence | 0.441709 |
| reported episodes | 0.370296 |
| annual number | 0.337956 |
| enforcement seat belt | 0.354584 |
| annual alcohol-impaired driving | 0.522329 |
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Arthritis Across America | CDC Features |
Doctor-diagnosed arthritis is widespread throughout the United States, according to a new study that looks at where arthritis is most common. Physical activity and self-management education can improve the quality of life of those adults with arthritis. |
| findings | 0.321814 |
| 20th edition | 0.430352 |
| MB | 0.32118 |
| physical activity programs | 0.506357 |
| doctor-diagnosed arthritis | 0.820475 |
| limitations | 0.320917 |
| new study | 0.4361 |
| Kentucky | 0.321443 |
| Lu | 0.32141 |
| Download map | 0.4137 |
| quality | 0.34594 |
| Arth Rheum | 0.430917 |
| U.S. counties | 0.416114 |
| arthritis | 0.970795 |
| U.S. county—all | 0.429267 |
| highest levels | 0.420911 |
| community centers | 0.414815 |
| Boring MA | 0.498971 |
| Experts | 0.32197 |
| United States | 0.660399 |
| local Ys | 0.421008 |
| self-reported doctor-diagnosed arthritis | 0.728398 |
| Tennessee | 0.321421 |
| adults | 0.438172 |
| Hootman JM | 0.424606 |
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| Alabama | 0.321455 |
| CDC analysis | 0.410887 |
| life | 0.345916 |
| Helmick CG | 0.50213 |
| bike | 0.322212 |
| West Virginia | 0.422451 |
| prevalence | 0.380265 |
| arthritis symptoms | 0.657875 |
| effective ways | 0.421077 |
| KA | 0.322846 |
| Holt JB | 0.411061 |
| public health professionals | 0.521634 |
| County Level | 0.407223 |
| MMWR | 0.323357 |
| separate ten-minute sessions | 0.52723 |
| Barbour KE | 0.523638 |
| CDC researchers | 0.437691 |
| self-management education classes | 0.526966 |
| people | 0.359306 |
| physical activity | 0.656844 |
| Michigan | 0.321432 |
| self-management education | 0.703084 |
| common arthritis | 0.656917 |
| arthritis-attributable activity | 0.408665 |
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