| 1070 |
Centers for Disease Control and Prevention |
Html |
en |
April is STD Awareness Month | CDC Features |
Take three simple actions to protect your health: Talk. Test. Treat. |
| long time ago. | 0.63033 |
| prevention message | 0.557847 |
| right way | 0.557633 |
| overall increase | 0.562042 |
| higher increases | 0.561637 |
| varying age groups | 0.615601 |
| Facebook | 0.524166 |
| case | 0.512696 |
| oral sex | 0.559604 |
| point syphilis | 0.827991 |
| dangerous return | 0.557508 |
| monogamous relationship | 0.562944 |
| sexually transmitted disease | 0.623728 |
| slim-to-zero chances | 0.564853 |
| populations | 0.524131 |
| women | 0.520865 |
| healthcare providers | 0.558553 |
| congenital syphilis | 0.785922 |
| health threat | 0.564081 |
| Twitter | 0.52314 |
| facts | 0.538814 |
| STD testing recommendations | 0.617231 |
| good news | 0.56604 |
| Tumblr account | 0.559344 |
| sexual partner | 0.556003 |
|
| younger baby boomers—and | 0.617339 |
| CDC’s overview | 0.562751 |
| resurgence | 0.513498 |
| cases | 0.522043 |
| oldest Gen Z’ers | 0.618159 |
| MSM | 0.547942 |
| syphilis | 0.959416 |
| right treatment | 0.565088 |
| people | 0.522898 |
| testing location | 0.557682 |
| Syphilis rates | 0.785967 |
| severe health problems | 0.618962 |
| current number | 0.566124 |
| HIV | 0.523742 |
| syphilis prevention | 0.758416 |
| healthcare provider | 0.558087 |
| STDs | 0.528362 |
| Infection rates | 0.561907 |
| attention | 0.521514 |
| risk | 0.521898 |
| rise | 0.540108 |
| Awareness Month website | 0.558779 |
| STD Awareness | 0.610565 |
| critical high | 0.567979 |
|
CLICK HERE |
| 4818 |
Centers for Disease Control and Prevention |
Html |
en |
Workers' Health Risk Behaviors by State, Demographic Characteristics, and Health Insurance Status |
null |
| prevalence tables | 0.285916 |
| health promotion professionals | 0.281297 |
| data | 0.394015 |
| health insurance | 0.364642 |
| overrepresent healthy workers | 0.287331 |
| uninsured workers | 0.313133 |
| common health risk | 0.348063 |
| Risk Factor Surveillance | 0.323786 |
| African American workers | 0.282044 |
| Indian/Alaska Native workers | 0.280074 |
| influenza vaccination analysis | 0.286192 |
| health risk behaviors | 0.998441 |
| risk behavior prevalence | 0.337521 |
| health insurance status | 0.341756 |
| BRFSS data | 0.328098 |
| state health departments | 0.292201 |
| Health Promotion Research | 0.282575 |
| health behaviors | 0.310306 |
| employers | 0.287526 |
| health risk behavior | 0.530562 |
| significant disparities | 0.297135 |
| workplace health promotion | 0.652092 |
| insurance status | 0.427868 |
| health care costs | 0.293706 |
| physical inactivity rates | 0.336815 |
|
| health risk appraisals | 0.309062 |
| Behavioral Risk Factor | 0.323868 |
| United States | 0.318361 |
| educational attainment | 0.322315 |
| risk behavior rates | 0.299459 |
| effective workplace health | 0.281891 |
| states | 0.350206 |
| state-level prevalence data | 0.296269 |
| race/ethnicity | 0.280532 |
| low-income workers | 0.308014 |
| core questions | 0.282194 |
| lifestyle health risk | 0.307144 |
| health promotion program | 0.297235 |
| workers | 0.546007 |
| health promotion programs | 0.384939 |
| CDC Prevention Research | 0.28142 |
| annual household income | 0.404415 |
| influenza vaccination | 0.574893 |
| high school education | 0.482351 |
| health promotion practitioners | 0.341708 |
| baseline health needs | 0.290067 |
| health promotion planning | 0.280867 |
| health promotion efforts | 0.317817 |
| American Indian/Alaska Native | 0.302821 |
|
CLICK HERE |
| 6901 |
Centers for Disease Control and Prevention |
Html |
en |
Ground Water Awareness Week 2010 - Healthy Water |
Education and information about Ground Water Awareness Week 2010. |
| water quality range | 0.579827 |
| World Water | 0.622901 |
| CDC | 0.694421 |
| worldwide water quality | 0.593732 |
| Community Hygiene Activity | 0.842571 |
| inexpensive hygiene measures | 0.492766 |
| water pollution | 0.480163 |
| adequate sewage systems | 0.456575 |
| safe water | 0.605476 |
| Global WASH Activity | 0.722356 |
| global Guinea Worm | 0.459407 |
| global water | 0.496521 |
| water quality challenges | 0.601986 |
| water resources | 0.505008 |
| visit CDC Responds | 0.547318 |
| unsafe water | 0.488323 |
| intensive handwashing promotion | 0.451778 |
| drinking water | 0.842561 |
| Inadequate water | 0.486185 |
| appropriate wastewater management | 0.449528 |
| Nations World Water | 0.539224 |
| contaminated water | 0.488958 |
| Luby SP | 0.453195 |
| piped water systems | 0.561605 |
|
| water issues | 0.503237 |
| safe drinking water | 0.676304 |
| water management | 0.483978 |
| drinking water quality | 0.708216 |
| public health partners | 0.456199 |
| Clean Water | 0.498323 |
| WASH Away Neglected | 0.512385 |
| Global WASH Program | 0.566327 |
| water | 0.948692 |
| current Healthy Water | 0.585737 |
| ) Activity | 0.481154 |
| community water systems | 0.544865 |
| water quality | 0.874808 |
| Water Safety Plans | 0.677916 |
| Water Treatment Activity | 0.585448 |
| World Water Assessment | 0.539199 |
| Neglected Tropical Diseases | 0.567517 |
| temporary refugee camps | 0.465434 |
| global WASH activities | 0.567487 |
| hygiene-related diseases | 0.466807 |
| Environmental Global WASH | 0.721181 |
| Refugee Health Activity | 0.637345 |
| Guinea worm disease | 0.446909 |
|
CLICK HERE |
| 7202 |
Centers for Disease Control and Prevention |
Html |
en |
Congenital Transmission of Chagas Disease - Virginia, 2010 |
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. |
| South America | 0.371054 |
| Central America | 0.371071 |
| County Health Dept | 0.365856 |
| lifelong parasitic infection | 0.384252 |
| negative serologic tests | 0.372485 |
| HSV nucleic acid | 0.365667 |
| Untreated Chagas disease | 0.468792 |
| pregnant women | 0.362181 |
| T. cruzi infection | 0.49073 |
| Raul A. Lazarte | 0.364031 |
| Trypanosoma cruzi trypomastigotes | 0.400653 |
| specific clinical signs | 0.36441 |
| chronic medical conditions | 0.368895 |
| congenital Chagas disease | 0.670044 |
| T. cruzi trypomastigotes | 0.418205 |
| serologic tests | 0.408017 |
| 60-day course | 0.370334 |
| annual incidence | 0.364556 |
| disease manifestations | 0.388243 |
| acute infection | 0.371549 |
| chronic infection | 0.394571 |
| Follow-up laboratory testing | 0.364659 |
| child | 0.370846 |
| United States | 0.682584 |
| Mary K. Klassen-Fischer | 0.36344 |
|
| endemic areas | 0.450457 |
| Chagas disease | 0.955181 |
| T. cruzi | 0.647361 |
| health-care providers | 0.406075 |
| peripheral blood | 0.400746 |
| pericardial effusion | 0.376847 |
| uninfected children | 0.367477 |
| Daniel E. Keim | 0.363865 |
| Severe congenital Chagas | 0.472154 |
| congenital transmission | 0.453035 |
| chronic Chagas disease | 0.59233 |
| polymerase chain reaction | 0.363983 |
| serologic testing | 0.36652 |
| birth weight | 0.370054 |
| T. cruzi PCR | 0.475398 |
| congenital infection | 0.380878 |
| reproductive age | 0.366392 |
| parasite Trypanosoma cruzi | 0.424138 |
| Apgar scores | 0.374303 |
| Public Health Preparedness | 0.366245 |
| anti–T. cruzi antibodies | 0.471245 |
| low birth weight | 0.364905 |
| Congenital T. cruzi | 0.432865 |
| clinical features | 0.364371 |
|
CLICK HERE |
| 7351 |
Centers for Disease Control and Prevention |
Html |
en |
West Nile Virus - What You Need to Know about Mosquito Repellent |
Information on West Nile virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| vaccines | 0.355596 |
| protective clothing | 0.504387 |
| fever | 0.352842 |
| continental United States | 0.696656 |
| North America | 0.536706 |
| bites | 0.423912 |
| summer | 0.348018 |
| symptoms | 0.443581 |
| WNV cases | 0.467447 |
|
| fall | 0.349814 |
| West Nile virus | 0.948056 |
| infected people | 0.523165 |
| medications | 0.351507 |
| season | 0.3482 |
| WNV | 0.727797 |
| headaches | 0.352059 |
| insect repellant | 0.505528 |
|
CLICK HERE |
| 9014 |
Centers for Disease Control and Prevention |
Video |
en |
Ages 13-17: Second Runner Up: It's Just Not Worth It |
Cigarette smoking has reached an all-time high at Michael Margiotti's school in Moorestown, New Jersey. With students already suffering from shortness of breath and other effects, he details what else they can expect in the future and says: it's just not worth it. This video was the second runner up winner in the 13-17 age category of the Surgeon General's Video Contest: Tobacco -- I'm Not Buying It.
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=20f4cb8a0c4ef2b010897c76d8bbed2220120523100710921 |
|
|
CLICK HERE |
| 12354 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Foundation's New Business Pulse Focuses on a Healthy Workforce |
CDC is releasing the first national estimates of doctor visits and healthcare costs associated with keratitis |
| Lincoln Industries | 0.450736 |
| expert | 0.324511 |
| illnesses | 0.327402 |
| CDC Foundation | 0.514474 |
| historical purposes | 0.479523 |
| CDC workforce health | 0.759533 |
| safety | 0.325499 |
| U.S. DEPARTMENT | 0.438594 |
| visit www.cdcfoundation.org/businesspulse. | 0.437219 |
| online CDC resources | 0.616649 |
| workforce health challenges | 0.713298 |
| Healthy Workforce | 0.726617 |
| workers | 0.325723 |
| businesses | 0.32475 |
| illness | 0.325211 |
|
| well-being | 0.329099 |
| website | 0.328875 |
| mid-sized employer | 0.465156 |
| question | 0.32576 |
| issue | 0.324937 |
| useful facts | 0.447243 |
| workforce health | 0.769278 |
| worker injury | 0.448497 |
| health care costs | 0.603147 |
| high-performing employees | 0.480356 |
| highlights | 0.324869 |
| costs U.S. employers | 0.604453 |
| answer feature | 0.453396 |
| HUMAN SERVICES | 0.44113 |
| information | 0.32562 |
|
CLICK HERE |
| 12614 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Protecting Americans Through Global Health - India |
CDC works 24/7 to protect the American people from disease, including those that begin overseas. CDC has dedicated and caring experts in over 50 countries. They detect and control outbreaks at their source, saving lives and reducing healthcare costs. In India, CDC is helping to develop a strong public health system.
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=e2d59d92a87112ece21da0b2ccf2523020120823142631377 |
| CDC | 0.853945 |
| Global Health | 0.971075 |
|
| Americans | 0.754658 |
| YouTube | 0.81418 |
|
CLICK HERE |
| 14320 |
Centers for Disease Control and Prevention |
Image |
null |
Nuclear Weapon| Infographic |
null |
|
|
CLICK HERE |
| 16248 |
Centers for Disease Control and Prevention |
Html |
en |
Burden of Multiple Chronic Conditions in Delaware,2011-2014 |
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. |
| common MCC combinations | 0.502331 |
| sociodemographic groups | 0.472803 |
| HHS MCC initiative | 0.50391 |
| myocardial infarction | 0.430247 |
| Risk Factor Surveillance | 0.464229 |
| multiple chronic conditions | 0.518682 |
| prevalent MCC combinations | 0.580805 |
| high cholesterol | 0.475113 |
| Disease Control | 0.394404 |
| health risk data | 0.393587 |
| MCC population | 0.492367 |
| common MCC dyad | 0.550649 |
| health care providers | 0.424982 |
| BRFSS | 0.444336 |
| MCC prevalence findings | 0.532853 |
| health insurance coverage | 0.411551 |
| blood pressure/high cholesterol | 0.415807 |
| ) data. | 0.422327 |
| Delaware adults | 0.667491 |
| MCC prevalence | 0.598495 |
| chronic illnesses | 0.395585 |
| common MCC | 0.665848 |
| Behavioral Risk Factor | 0.464423 |
| obstructive pulmonary disease | 0.463177 |
|
| MCC data | 0.490057 |
| chronic disease surveillance | 0.429753 |
| chronic kidney disease | 0.514818 |
| heart attack | 0.438172 |
| chronic health conditions | 0.468348 |
| common MCC dyads | 0.662561 |
| MCC research | 0.588016 |
| Obesity-related chronic conditions | 0.446042 |
| MCC approach | 0.496429 |
| Allied Health Sciences | 0.397045 |
| HHS Interagency Workgroup | 0.409399 |
| mutually exclusive categories | 0.390767 |
| chronic conditions MCC | 0.588198 |
| health care | 0.439189 |
| MCC patterns | 0.475545 |
| MCC triad | 0.479282 |
| individual chronic diseases | 0.42312 |
| MCC research efforts | 0.52424 |
| arthritis/high blood pressure/high | 0.411986 |
| MCC | 0.810938 |
| Delaware State University | 0.397857 |
| chronic conditions | 0.954456 |
| high blood pressure | 0.618258 |
| pressure/high cholesterol triad | 0.418786 |
|
CLICK HERE |