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Centers for Disease Control and Prevention |
Html |
en |
Good Health Habits for Preventing Seasonal Flu |
Good Health Habits for Preventing Seasonal Flu - CDC |
| better health habits | 0.992609 |
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| 5011 |
Centers for Disease Control and Prevention |
Video |
en |
Your Wake-Up Call |
In this 60 second public service announcement, Golden Globe and Academy Award-nominated actor and musician Terrance Howard urges Americans to be screened for colorectal cancer. Mr. Howard has a personal connection to the disease. He talks movingly about losing his mother to colon cancer, saying, "Let my heartbreak be your wake-up-call."
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://www.cdc.gov/CDCTV/YourWakeUpCall/index.html |
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| 5308 |
Centers for Disease Control and Prevention |
Html |
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Medical Costs for Youth with Diabetes More Than $9,000 a Year - Press Release: April 27, 2011 |
Medical Costs for Youth with Diabetes More Than $9,000 a Year |
| Encounters Database | 0.383649 |
| extra medical costs | 0.530742 |
| CDC study | 0.401178 |
| type | 0.436758 |
| Risk factors | 0.454913 |
| youth | 0.422832 |
| adequate insulin | 0.493419 |
| children | 0.395665 |
| prescription drugs | 0.390987 |
| annual medical costs | 0.512566 |
| visit www.cdc.gov/diabetes | 0.375515 |
| outpatient care | 0.39139 |
| medical supplies | 0.393893 |
| Diabetes Education Program | 0.656062 |
| journal Diabetes Care | 0.731287 |
| annual medical expenses | 0.487851 |
| administrative claim data | 0.449103 |
| higher medical costs | 0.562154 |
| higher medication expenses | 0.471133 |
| HUMAN SERVICES | 0.378759 |
| higher rates | 0.394074 |
| vast majority | 0.381903 |
| oral medications | 0.383039 |
| beta cells | 0.376994 |
| blood glucose | 0.646964 |
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| insulin | 0.722 |
| blood glucose levels | 0.473319 |
| kidney failure | 0.376565 |
| glucose testing strips | 0.475375 |
| young people | 0.656153 |
| known way | 0.379835 |
| insulin syringes | 0.498846 |
| insulin treatment | 0.589684 |
| heart disease | 0.37909 |
| U.S. DEPARTMENT | 0.378835 |
| nerve damage | 0.377121 |
| employer-sponsored private health | 0.460218 |
| health complications | 0.377333 |
| younger children | 0.38165 |
| MarketScan Commercial Claims | 0.461583 |
| insurance plans | 0.385229 |
| Fact Sheet | 0.38357 |
| Diabetes Care study | 0.668911 |
| medical costs | 0.918076 |
| family history | 0.375934 |
| Ann Albright | 0.387709 |
| highest medical costs | 0.517719 |
| diabetes | 0.955019 |
| Diabetes Translation | 0.615869 |
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Centers for Disease Control and Prevention |
Html |
en |
Diethyl phthalate - 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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| 9373 |
Centers for Disease Control and Prevention |
Html |
es |
Implementación del programa de control de peso ¡MUÉVETE! en la Administración de Salud de Veteranos, 2007-2010: Un estudio cualitativo |
CDC - Wide Page example description goes here |
| weight-management program | 0.764636 |
| múltiples enfermedades | 0.727435 |
| alto riesgo | 0.728136 |
| qualitative study | 0.841298 |
| Kahwati LC | 0.789596 |
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| Chronic Dis | 0.797559 |
| Veterans Health Administration | 0.972732 |
| Haynes-Maslow L | 0.77099 |
| Kinsinger LS | 0.827915 |
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| 11952 |
Centers for Disease Control and Prevention |
Html |
en |
Inside Knowledge Campaign Web Buttons |
You can copy and paste the code to embed these buttons and badges in your Web site, social network profile, or blog. |
| button | 0.299463 |
| code | 0.633296 |
| social network profile | 0.933741 |
| Copy | 0.632657 |
| survivor story image | 0.860603 |
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| gynecologic cancer | 0.289964 |
| Web site | 0.670487 |
| blog | 0.306151 |
| facts | 0.204116 |
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| 12778 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Prevalence of Risk Factors for SuicideAmong Veterinarians - United States, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| veterinary medical associations | 0.576926 |
| mental health | 0.606677 |
| depressive episodes | 0.559508 |
| Human Services | 0.547349 |
| VIN News Service | 0.607502 |
| Tracy K. Witte | 0.59031 |
| psychological distress | 0.762075 |
| female respondents | 0.627566 |
| livestock department | 0.517904 |
| Suicide Among Veterinarians | 0.709267 |
| risk factors | 0.74992 |
| Local Readiness | 0.556183 |
| Paul D. Pion | 0.55791 |
| commonly reported age | 0.576851 |
| suicidal ideation | 0.698979 |
| underlying risk factors | 0.57302 |
| suicidal behavior | 0.718811 |
| Randall J. Nett | 0.756047 |
| small animal medicine | 0.696829 |
| Renee H. Funk | 0.583401 |
| Daniel R. O'Leary | 0.594697 |
| lower lifetime prevalence | 0.58784 |
| Kris K. Carter | 0.583598 |
| effective prevention methods | 0.558266 |
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| Katie M. Kurkjian | 0.5877 |
| Karl J. Musgrave | 0.590814 |
| State health departments | 0.613178 |
| prevalence estimates | 0.525443 |
| Kessler-6 psychological distress | 0.751624 |
| Brigid L. Elchos | 0.590562 |
| Kerry R. Pride | 0.58468 |
| Enzo R. Campagnolo | 0.598781 |
| social desirability bias | 0.567755 |
| U.S. veterinarians | 0.971581 |
| Veterinary Information Network | 0.730867 |
| Public Health Veterinarians | 0.748841 |
| Stacy M. Holzbauer | 0.597277 |
| Veterinary Medical Association | 0.57477 |
| Colorado State University | 0.580211 |
| Public Health Preparedness | 0.703706 |
| suicide risk factors | 0.621572 |
| Mental Health Investigation | 0.605564 |
| JAVMA News | 0.593635 |
| female U.S. adults | 0.729743 |
| psychological distress scale | 0.75158 |
| Animal Health | 0.532818 |
| veterinary medicine | 0.51696 |
| suicide attempts | 0.56542 |
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Centers for Disease Control and Prevention |
Html |
en |
Initiation of a Ring Approach to Infection Prevention andControl at Non-Ebola Health Care Facilities - Liberia,January-February 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| IPC support | 0.662048 |
| county health | 0.546972 |
| IPC needs | 0.585073 |
| Ebola treatment unit | 0.735907 |
| Ring IPC activities | 0.588358 |
| prior Ebola exposure | 0.555356 |
| IPC capacity | 0.549656 |
| nongovernmental organization partners | 0.562511 |
| IPC training | 0.648461 |
| Ebola virus transmission | 0.580097 |
| Ring IPC efforts | 0.627842 |
| Ring IPC intervention | 0.596714 |
| Ebola virus | 0.590287 |
| Ring IPC | 0.992096 |
| national IPC Task | 0.673796 |
| IPC planning | 0.55271 |
| African Union | 0.546165 |
| probable Ebola patients | 0.613458 |
| IPC specialists | 0.551929 |
| health care workers | 0.787354 |
| active Ebola transmission | 0.606988 |
| IPC staff members | 0.575893 |
| MOHSW-approved IPC training | 0.590227 |
| health care | 0.883008 |
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| health care worker | 0.738363 |
| IPC Task Force | 0.854251 |
| personal protective equipment | 0.764005 |
| target HCFs | 0.578941 |
| short-term IPC support | 0.613371 |
| Liberia IPC Task | 0.607448 |
| IPC guidance | 0.550806 |
| IPC rings | 0.554827 |
| intensive IPC approach | 0.583312 |
| national IPC strategy | 0.642439 |
| intensive IPC support | 0.590615 |
| essential IPC | 0.581229 |
| rapid IPC assessments | 0.564307 |
| Ring IPC approach | 0.864223 |
| IPC activities | 0.618009 |
| Ebola patient | 0.656042 |
| intensified IPC attention | 0.581764 |
| Ring IPC partners | 0.59811 |
| Ebola patients | 0.652851 |
| rapid IPC needs | 0.581968 |
| essential IPC supplies | 0.575154 |
| general IPC training | 0.591202 |
| essential IPC practices | 0.567648 |
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Centers for Disease Control and Prevention |
Html |
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How to Conduct Store Observations of Tobacco Marketing and Products |
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. |
| store observation instrument | 0.253498 |
| North Carolina | 0.251191 |
| tobacco cravings | 0.273212 |
| data collectors | 0.757745 |
| store observation data | 0.547612 |
| tobacco control groups | 0.377039 |
| public health practitioners | 0.274787 |
| observation data collectors | 0.28242 |
| youth tobacco | 0.255494 |
| tobacco retail environment | 0.330437 |
| store observation | 0.567999 |
| simulated store observations | 0.263631 |
| tobacco | 0.699638 |
| Tobacco Assessment | 0.255073 |
| comprehensive tobacco control | 0.285468 |
| tobacco store lists | 0.413403 |
| store observation measures | 0.2665 |
| tobacco industry | 0.30105 |
| tobacco products | 0.674668 |
| data quality | 0.245858 |
| California Tobacco Control | 0.284899 |
| POS store observations | 0.307797 |
| tobacco marketing materials | 0.283949 |
| tobacco control staff | 0.332367 |
| store observations | 0.910079 |
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| ground truthing | 0.2584 |
| electronic data collection | 0.321374 |
| menthol tobacco products | 0.314351 |
| tobacco stores | 0.526215 |
| tobacco product retailer | 0.313547 |
| tobacco marketing | 0.356934 |
| National Cancer Institute | 0.249494 |
| tobacco store observations | 0.540004 |
| public health | 0.315062 |
| geographic area | 0.280916 |
| tobacco retailers | 0.257982 |
| Store observation projects | 0.261001 |
| training data collectors | 0.31031 |
| price data | 0.242387 |
| tobacco control program | 0.325136 |
| data collection | 0.511152 |
| tobacco companies | 0.299249 |
| business lists | 0.287142 |
| smokeless tobacco | 0.272972 |
| Community Tobacco Control | 0.368166 |
| store observation questions | 0.261762 |
| tobacco control interventions | 0.320532 |
| Tobacco Control Initiative | 0.355698 |
| tobacco control | 0.507722 |
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Centers for Disease Control and Prevention |
Html |
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Advice for people living in or traveling to Brownsville, Texas |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| yellow area designation | 0.473293 |
| mosquito-borne Zika virus | 0.529928 |
| CDC | 0.482011 |
| pregnancy planning | 0.568366 |
| Zika infection | 0.453502 |
| mosquito-borne spread | 0.493309 |
| Brownsville | 0.661731 |
| travel recommendations | 0.447621 |
| surrounding areas | 0.445421 |
| Zika virus | 0.941313 |
| State Health Services | 0.471746 |
| continental United States | 0.488113 |
| new reports | 0.444252 |
| enhanced Zika surveillance | 0.480419 |
| account local epidemiologic | 0.475372 |
| pregnant women | 0.511627 |
| possible risk | 0.440608 |
| state health department | 0.472309 |
| possible resurgence | 0.440859 |
| southernmost areas | 0.486832 |
| state health | 0.474357 |
| CDC recommendations | 0.449562 |
| mosquito-borne illnesses | 0.458929 |
| Zika virus exposure | 0.512676 |
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| sporadic cases | 0.487803 |
| Texas DSHS | 0.440111 |
| sexual transmission | 0.445472 |
| oral sex | 0.443852 |
| sex | 0.465071 |
| possible exposure | 0.504144 |
| control factors | 0.440278 |
| MMWR report | 0.442062 |
| Zika Health Alert | 0.481635 |
| partner | 0.445835 |
| Zika virus transmission | 0.734983 |
| pregnancy planning guidance | 0.538444 |
| healthcare provider | 0.439887 |
| Texas | 0.457849 |
| Rio Grande Valley | 0.480816 |
| state-specific guidance | 0.442225 |
| risk | 0.456578 |
| virus transmission prevention | 0.527027 |
| pregnancy plans | 0.441495 |
| Healthcare providers | 0.440227 |
| Zika virus testing | 0.51902 |
| travel | 0.449435 |
| active transmission | 0.442296 |
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