| 761 |
Centers for Disease Control and Prevention |
Html |
en |
Lao People's Democratic Republic to Launch Seasonal Flu Vaccination Program |
Lao People’s Democratic Republic to Launch Seasonal Flu Vaccination Program - CDC |
| vaccine recommendations | 0.571165 |
| Lao PDR time | 0.669838 |
| vaccine program | 0.578711 |
| Global Influenza Surveillance | 0.661832 |
| future influenza vaccine | 0.675517 |
| vaccine administration | 0.564494 |
| Influenza Coordinator | 0.63086 |
| Lao PDR flu | 0.707987 |
| Laos | 0.580568 |
| U.S. flu season | 0.573364 |
| influenza vaccine | 0.684377 |
| World Health Organization | 0.612003 |
| influenza activity | 0.620387 |
| seasonal influenza | 0.665094 |
| seasonal vaccination program | 0.56756 |
| Influenza Coordination Unit | 0.633936 |
| Hemisphere seasonal influenza | 0.654024 |
| Lao PDR | 0.947763 |
| Influenza Division | 0.701245 |
| influenza prevention | 0.669765 |
| trivalent inactivated vaccine | 0.603368 |
| Lao PDR vaccination | 0.693947 |
| influenza | 0.821481 |
| important public health | 0.563567 |
|
| Support Global Health | 0.564345 |
| southeast Asian country | 0.562791 |
| United States | 0.602203 |
| Lao PDR influenza | 0.763176 |
| flu vaccine | 0.645575 |
| best vaccine | 0.573703 |
| CDC’s Influenza | 0.641747 |
| influenza vaccination program | 0.697053 |
| H1N1 vaccine campaign | 0.584763 |
| public health | 0.587014 |
| Organization National Influenza | 0.654513 |
| Lao Ministry | 0.609457 |
| influenza vaccines | 0.681235 |
| Lao PDR Ministry | 0.80942 |
| National Influenza Center | 0.683936 |
| seasonal flu vaccine | 0.611685 |
| vaccine formulations | 0.57064 |
| public health programs | 0.56143 |
| flu vaccination efforts | 0.591513 |
| influenza viruses | 0.694177 |
| Lao People | 0.61334 |
| flu season | 0.609084 |
| Northern Hemisphere vaccine | 0.587389 |
| Vaccine Donation | 0.577696 |
|
CLICK HERE |
| 993 |
Centers for Disease Control and Prevention |
Html |
en |
Update on Vaccine-Derived Polioviruses - Worldwide, July2012-December 2013 |
Ousmane M. Diop, PhD1, Cara C. Burns, PhD2, Steven G. |
| AFP onset | 0.684842 |
| corresponding OPV strain | 0.769631 |
| sewage samples | 0.714735 |
| polio outbreaks | 0.625161 |
| Polio Laboratory Network | 0.747116 |
| AFP patients | 0.939848 |
| cVDPV3 outbreak | 0.674196 |
| new circulating VDPV | 0.649814 |
| AFP cases | 0.701442 |
| divergent vaccine-derived polioviruses | 0.621607 |
| prolonged iVDPV infections | 0.656416 |
| vaccination coverage | 0.656545 |
| cVDPV outbreaks | 0.6532 |
| indigenous cVDPV2 outbreak | 0.710934 |
| highly divergent avdpv1s | 0.657831 |
| OPV | 0.800189 |
| reporting period | 0.688565 |
| primary immunodeficiency | 0.698349 |
| new outbreak | 0.635933 |
| new outbreaks | 0.657958 |
| Nigeria | 0.684245 |
| routine immunization schedules | 0.675559 |
| iVDPV infections | 0.732102 |
|
| polio vaccination coverage | 0.656017 |
| World Health Organization | 0.675028 |
| VDPVs | 0.674684 |
| environmental samples | 0.701625 |
| immunologically normal OPV | 0.632351 |
| inactivated poliovirus vaccine | 0.68906 |
| Chad. Circulating VDPV2s | 0.620606 |
| countries | 0.659679 |
| severe combined immunodeficiency | 0.764305 |
| low OPV coverage | 0.64685 |
| AFP case | 0.689104 |
| acute flaccid paralysis | 0.664403 |
| AFP patient | 0.932867 |
| vaccine-derived polioviruses | 0.643852 |
| large outbreak | 0.709025 |
| primary immunodeficiencies | 0.623439 |
| recent cVDPV outbreaks | 0.635393 |
| high OPV coverage | 0.620033 |
| newly identified persons | 0.619682 |
| Global Polio Laboratory | 0.744032 |
| Regional Office | 0.687754 |
| outbreaks | 0.689392 |
| Angola. An AFP | 0.681445 |
|
CLICK HERE |
| 2997 |
Centers for Disease Control and Prevention |
Video |
en |
Surgeon General Video Contest: Tobacco I'm Not Buying It Rap |
The Manatee Youth for Christ SOZO team rap about the dangers of tobacco, its effect on youth, and why they’re not buying it. Created by grand prize winner (13 – 17 yrs.) Dantreal Waiters. |
| Life Sentence | 0.330434 |
| CDC | 0.275488 |
| Online Tobacco Retailers | 0.507702 |
| Tobacco Addiction Story | 0.514133 |
| Disease Control | 0.464082 |
| Manatee Youth | 0.349163 |
| Duplin TRU Team | 0.490439 |
| best rhymers | 0.334765 |
| Dont Always Die | 0.329651 |
| Anti smoking rap | 0.480471 |
| age category | 0.341642 |
| Smokers | 0.255734 |
| comment policy | 0.34166 |
| Smoke Rap | 0.416919 |
| Duration | 0.988351 |
| Good Morning | 0.32569 |
| Dantreal Waiters | 0.354151 |
| Home Alchemy | 0.334153 |
| grand prize | 0.792848 |
| Ð?аташа Букина | 0.339923 |
| old chain smoker | 0.466086 |
| vpro metropolis | 0.496439 |
| Rap Battle | 0.387585 |
| Traffic Stop | 0.324139 |
|
| Runner | 0.44913 |
| Centers | 0.244739 |
| Haydn Russell | 0.340682 |
| Chain Hang Low | 0.437151 |
| Chicken Egg | 0.328194 |
| Yo tengo el | 0.501187 |
| BEST QUALITY | 0.339091 |
| Buying Tobacco Online | 0.516244 |
| Rap Battles | 0.373715 |
| Christ SOZO team | 0.483349 |
| Video Contest | 0.357237 |
| views | 0.650657 |
| Cigarettes Smoke | 0.555216 |
| Gross Out Video | 0.33265 |
| boondocks best references | 0.467092 |
| Totally Disgusting Tobacco | 0.49164 |
| Ages | 0.404664 |
| casie mcgill | 0.339567 |
| Surgeon General | 0.343375 |
| Perry PirateNationNews | 0.330171 |
| Tabaco y la | 0.378753 |
| Planet Nibiru | 0.343825 |
| grand prize winner | 0.487048 |
| Lindsay Lohan | 0.33193 |
|
CLICK HERE |
| 7023 |
Centers for Disease Control and Prevention |
Html |
en |
Section 916 of the Federal Food, Drug, and Cosmetic Act -Preservation of State and Local Authority |
null |
| chapter | 0.465269 |
| product liability law | 0.519692 |
| access | 0.352072 |
| United States Code | 0.531357 |
| possession | 0.369941 |
| rule | 0.386372 |
| rules | 0.328095 |
| distribution | 0.352232 |
| individuals | 0.351828 |
| information reporting | 0.560269 |
| measures | 0.325935 |
| trade secret | 0.424171 |
| government | 0.327803 |
| Armed Forces | 0.455215 |
| action | 0.322861 |
| Construction Regarding Product | 0.523811 |
| addition | 0.356074 |
| requirements | 0.352485 |
| disclosure | 0.32677 |
| local taxation | 0.438453 |
| Exception. Subparagraph | 0.42768 |
| Indian tribe | 0.452992 |
| confidential information | 0.42253 |
|
| adulteration | 0.334292 |
| requirement | 0.356135 |
| tribal | 0.325145 |
| safety standards | 0.558479 |
| respect | 0.362516 |
| tobacco products | 0.909783 |
| premarket review | 0.447606 |
| provisions | 0.328136 |
| sale | 0.352265 |
| product standards | 0.427317 |
| measure | 0.3561 |
| exposure | 0.358243 |
| regulation | 0.354192 |
| State | 0.544716 |
| provision | 0.35806 |
| Federal agency | 0.4569 |
| Preservation. | 0.328253 |
| authority | 0.324685 |
| General | 0.326612 |
| registration | 0.323997 |
| risk tobacco products | 0.634758 |
| political subdivision | 0.606254 |
| good manufacturing standards | 0.540506 |
|
CLICK HERE |
| 7343 |
Centers for Disease Control and Prevention |
Html |
en |
H3N2v Update: New Cases Reported, Limited Person-to-Person Transmission Detected - Seasonal Influenza (Flu) |
H3N2v Update: New Cases Reported, Limited Person-to-Person Transmission Detected - CDC |
| CDC | 0.801656 |
| H3N2v | 0.885172 |
| fair settings | 0.540772 |
| pig exposure | 0.660815 |
| pigs | 0.911269 |
| Disease Control | 0.550783 |
| high risk patients | 0.631542 |
| relatively long period | 0.66244 |
| human-to-human transmission | 0.537522 |
| additional cases | 0.573199 |
| pandemic M gene | 0.536254 |
| seasonal influenza | 0.533171 |
| likely human-to-human spread | 0.738264 |
| live animal market | 0.658207 |
| additional people | 0.55555 |
| H3N2v case count | 0.681863 |
| seasonal flu | 0.624698 |
| high risk | 0.751039 |
| Bresee notes | 0.643059 |
| household contacts | 0.534993 |
| main risk factor | 0.678984 |
| new cases | 0.561733 |
| prolonged contact | 0.533519 |
| High risk factors | 0.627916 |
|
| United States | 0.559283 |
| potential person-to-person transmission | 0.663614 |
| H3N2v cases | 0.611761 |
| H3N2 variant virus | 0.74487 |
| respiratory viruses | 0.555609 |
| virus | 0.777798 |
| rapid antiviral treatment | 0.633638 |
| Dr. Bresee | 0.680186 |
| CDC’s Influenza | 0.652579 |
| limited human-to-human spread | 0.921295 |
| H3N2v infection | 0.651781 |
| variant viruses | 0.706953 |
| total number | 0.557038 |
| sheet entitled Issues | 0.630804 |
| cases | 0.731762 |
| initial infection | 0.537546 |
| H3N2v viruses | 0.597087 |
| people | 0.714725 |
| Dr. Joseph Bresee | 0.80304 |
| Cumulative totals | 0.540502 |
| influenza viruses | 0.57173 |
| Prevention Branch | 0.541139 |
| current outbreaks | 0.555842 |
| likely person-to-person | 0.694765 |
|
CLICK HERE |
| 9930 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Racial and Ethnic Differences in Physical Activity and Bone Density: National Health and Nutrition Examination Survey, 2007"2008 - CDC |
Participation in regular physical activity (PA) may help maintain bone health as people age. However, most American adults do not engage in the recommended minimum levels of PA, and there are racial/ethnic differences in PA participation. |
| femoral bone mineral | 0.402554 |
| bone density groups | 0.401617 |
| Non-Hispanic white men | 0.402309 |
| low PA category | 0.363107 |
| mineral density values | 0.390173 |
| high school education | 0.379979 |
| non-Hispanic black women | 0.41698 |
| bone mineral density | 0.928468 |
| higher bone mineral | 0.409023 |
| normal bone density | 0.408042 |
| mineral density analysis | 0.385308 |
| bone mineral content | 0.393582 |
| low levels | 0.38317 |
| Nutrition Examination Survey | 0.361862 |
| femur bone mineral | 0.382512 |
| osteoporosis medications | 0.424035 |
| high bone mineral | 0.401368 |
| body mass index | 0.391283 |
| bone health | 0.452994 |
| bone health data | 0.376298 |
| osteoporosis | 0.432182 |
| peak bone mass | 0.366325 |
| poverty–income ratio | 0.469493 |
| lower levels | 0.404351 |
| bone density differences | 0.437443 |
|
| non-Hispanic black men | 0.416695 |
| linear regression models | 0.388524 |
| normal bone mineral | 0.384826 |
| high levels | 0.4089 |
| lower bone mineral | 0.398512 |
| non-Hispanic black counterparts | 0.396747 |
| mineral density distribution | 0.379082 |
| PA participation | 0.365879 |
| mineral density test | 0.383604 |
| racial/ethnically diverse sample | 0.386666 |
| non-Hispanic whites | 0.543458 |
| current physical activity | 0.366668 |
| bone density | 0.557951 |
| non-Hispanic white participants | 0.406248 |
| non-hispanic blacks | 0.607905 |
| bone loss | 0.374171 |
| physical activity | 0.436553 |
| PA distribution levels | 0.362457 |
| mineral density measurement | 0.383268 |
| poor bone health | 0.382578 |
| higher bone density | 0.420458 |
| non-Hispanic white samples | 0.410439 |
| non-Hispanic white women | 0.416972 |
| levels | 0.42011 |
|
CLICK HERE |
| 10057 |
Centers for Disease Control and Prevention |
Html |
en |
U.S. safer when CDC works with other countries to fight infectious diseases | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Centers | 0.257107 |
| media availability | 0.502096 |
| Non-Media | 0.32124 |
| Tom Frieden | 0.587241 |
| telebriefing | 0.258489 |
| M.D. | 0.257305 |
| Projects | 0.259417 |
| historical purposes | 0.58575 |
| nations | 0.258985 |
| briefing | 0.272182 |
| navigation Skip | 0.8239 |
| transcript | 0.327046 |
| world | 0.257795 |
| Disease Control | 0.523694 |
| CDC MEDIA | 0.595139 |
| U.S. DEPARTMENT | 0.508724 |
| M.P.H. | 0.257239 |
| PASSCODE | 0.312255 |
| model | 0.31623 |
|
| ET) | 0.555678 |
| press | 0.297378 |
| Important Instructions | 0.535898 |
| International | 0.259182 |
| disease detection | 0.530969 |
| website | 0.265469 |
| list Skip | 0.825499 |
| question | 0.393095 |
| page options Skip | 0.935597 |
| Africa | 0.259284 |
| Director | 0.257173 |
| touchtone phone | 0.557118 |
| Thursday | 0.260123 |
| infectious disease | 0.535526 |
| Asia | 0.259351 |
| response | 0.258225 |
| HUMAN SERVICES | 0.507782 |
| greater health security | 0.825374 |
|
CLICK HERE |
| 10358 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Spokesperson | CDC Newsroom | CDC |
The CDC Spokespersons section provides information for journalists on CDC experts who often speak to the press |
| States Public Health | 0.90186 |
| medical epidemiologist | 0.640058 |
| people’s lives | 0.624825 |
| CDC experts | 0.760855 |
| Associate Director | 0.85009 |
| High Consequence Pathogens | 0.747329 |
| Michael J. Beach | 0.756184 |
| Disease Control | 0.963296 |
| MD | 0.647527 |
| ebola response | 0.779804 |
| Zoonotic Infectious Diseases | 0.763681 |
| Daniel B. Jernigan | 0.754231 |
| Inger K. Damon | 0.752556 |
| United States Public | 0.89874 |
| National Center | 0.972071 |
| Jennifer McQuiston | 0.63522 |
| Media Relations | 0.639406 |
| USPHS | 0.708027 |
| Associated Infection Prevention | 0.746947 |
| Chief Medical Officer | 0.738475 |
| Influenza Division | 0.661265 |
| incident commander | 0.626981 |
| health communication | 0.64969 |
| Respiratory Diseases | 0.632363 |
| CDC’s Ebola | 0.749587 |
|
| Stephen Redd | 0.626958 |
| Medical Care Task | 0.748969 |
| Branch Chief | 0.635182 |
| EIS Program | 0.626523 |
| Injury Prevention | 0.658047 |
| CDC Spokespersons section | 0.899094 |
| Debra E. Houry | 0.739895 |
| social marketing principles | 0.730447 |
| various fields | 0.647989 |
| Healthcare Quality Promotion | 0.956987 |
| trained CDC employees | 0.875676 |
| Michael Bell | 0.631659 |
| public health | 0.926768 |
| John T. Brooks | 0.744348 |
| Healthy Water | 0.630927 |
| High-Consequence Pathogens | 0.647054 |
| Daniel Sosin | 0.644276 |
| Public Health Preparedness | 0.900051 |
| HIV/AIDS Prevention | 0.658979 |
| Arjun Srinivasan | 0.641249 |
| Katherine Lyon Daniel | 0.737955 |
| Public Health Service | 0.901752 |
| Deputy Director | 0.871153 |
| Epidemiology Workforce Branch | 0.72388 |
|
CLICK HERE |
| 12627 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Million Hearts Initiative |
CDC Director Dr. Tom Frieden talks about how heart disease and stroke are leading causes of death for people -- including Hispanics -- in the U.S. Million Hearts is a national initiative that has set an ambitious goal to prevention one million heart attacks and strokes by 2017. As a partner, CDC is pleased to announce many new materials and a website in Spanish that can help people improve their heart health: http://millionhearts.hhs.gov/.
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=17464e4eb47d0770a609a2dfe5e2c2c520130213170449225 |
| Hearts Initiative | 0.971933 |
|
|
CLICK HERE |
| 12981 |
Centers for Disease Control and Prevention |
Html |
en |
HIV Infection and HIV-Associated Behaviors Among Persons WhoInject Drugs - 20 Cities, United States, 2012 |
Michael W. Spiller, PhD1, Dita Broz, PhD1, Cyprian Wejnert, PhD1, Lina Nerlander, BMBCh1, Gabriela Paz-Bailey, MD, PhD1, for the National HIV Behavioral Surveillance System Study Group (Author affiliations at end of text). |
| HIV behavioral interventions | 0.395095 |
| new HIV infections | 0.372842 |
| behavioral survey data | 0.298802 |
| health insurance | 0.409653 |
| PWID | 0.69269 |
| male-to-male sexual contact | 0.452984 |
| Michael W. Spiller | 0.345367 |
| HIV prevention | 0.430213 |
| risk behaviors | 0.36404 |
| HIV behavioral intervention | 0.748993 |
| HIV prevalence | 0.483113 |
| male PWID | 0.292893 |
| anonymous HIV testing | 0.40138 |
| HIV infections | 0.434148 |
| HIV-positive test results | 0.412616 |
| higher HIV prevalence | 0.401831 |
| PWID network size | 0.31014 |
| HIV-positive PWID | 0.287446 |
| previous HIV-positive test | 0.357318 |
| group HIV | 0.34658 |
| screening test result | 0.322746 |
| personal HIV status | 0.397291 |
| HIV prevention programs | 0.418857 |
|
| opposite sex partner | 0.386803 |
| positive HIV test | 0.420956 |
| participants | 0.322899 |
| HIV Behavioral Surveillance | 0.472709 |
| HIV acquisition | 0.343116 |
| HIV prevention efforts | 0.375736 |
| HIV behavioral intervention.** | 0.414166 |
| CI | 0.422506 |
| HIV test | 0.450136 |
| NHBS survey | 0.280074 |
| behavioral analysis | 0.355509 |
| HIV-positive test result | 0.34906 |
| injection equipment | 0.346981 |
| vaginal sex | 0.281189 |
| nonreactive screening test | 0.276642 |
| National HIV Behavioral | 0.47325 |
| HIV risk | 0.381233 |
| heterosexual anal sex | 0.353286 |
| HIV | 0.917234 |
| HIV test results | 0.381602 |
| HIV testing | 0.561187 |
| substance abuse treatment | 0.277355 |
| HCV | 0.27672 |
|
CLICK HERE |