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Centers for Disease Control and Prevention |
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World Cancer Day Feature |
On February 4, CDC joins people, organizations, and government agencies around the world in exploring how everyone can help prevent and control cancer. |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0322 |
As the emphasis on preventing obesity has grown, so have calls for interventions that extend beyond individual behaviors and address changes in environments and policies. Despite the need for policy action, little is known about policy approaches that are most effective at preventing obesity. |
| outputs | 0.288135 |
| North Carolina | 0.25531 |
| innovative policy approaches | 0.253645 |
| policy interventions | 0.385184 |
| policy processes | 0.270856 |
| effective policy approaches | 0.299108 |
| progressive logic models | 0.27805 |
| policy enactment | 0.27008 |
| farm-to-school policy | 0.592898 |
| policies | 0.438094 |
| logic models | 0.581934 |
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| evaluation | 0.359823 |
| farm-to-school policies | 0.298392 |
| Disease Control | 0.29326 |
| outcomes | 0.370296 |
| public policy initiatives | 0.306516 |
| Center TRT | 0.826878 |
| policy evaluation | 0.283348 |
| policies Center TRT | 0.263587 |
| obesity prevention | 0.61724 |
| policy-making process | 0.492175 |
| new policy | 0.313292 |
| state-level farm-to-school policy | 0.356705 |
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| policy | 0.983669 |
| physical activity | 0.400634 |
| Center TRT staff | 0.317486 |
| farm-to-school policy initiative | 0.267285 |
| policy approaches | 0.320661 |
| obesity prevention policies | 0.297779 |
| logic model | 0.285922 |
| locally grown foods | 0.323064 |
| Center TRT framework | 0.267908 |
| Chapel Hill | 0.286904 |
| emergent logic models | 0.274718 |
| obesity prevention policy | 0.376377 |
| policy activity | 0.273548 |
| obesity prevention initiatives | 0.257922 |
| model policy guidance | 0.267318 |
| best available evidence | 0.26585 |
| framework | 0.407082 |
| policy making | 0.375596 |
| policy action | 0.272078 |
| public health practitioners | 0.639797 |
| activities | 0.253297 |
| policy makers | 0.34196 |
| public policies | 0.267154 |
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Centers for Disease Control and Prevention |
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Promoción de ambientes libres de humo de cigarrillo y cesación del tabaquismo en centros residenciales de tratamiento para problemas de salud mental y narcoadicciones, Oregón, 2010 |
CDC - Wide Page example description goes here |
| futuros requisitos | 0.680986 |
| mental health | 0.746675 |
| Drach LL | 0.808732 |
| residential treatment facilities | 0.980887 |
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| Harris RL | 0.762898 |
| Cushing C | 0.765321 |
| Romoli C | 0.72936 |
| Chronic Dis | 0.75742 |
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Centers for Disease Control and Prevention |
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Email Updates: November 18, 2013'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.849459 |
| Public Health Matters | 0.707705 |
| Emergency Preparedness | 0.676217 |
| Respiratory Syndrome Coronavirus | 0.673149 |
| FDA Safety Information | 0.679782 |
| health’s role | 0.624093 |
| – (CDC) | 0.704574 |
| new avian influenza | 0.669627 |
| CDC Science Clips | 0.800788 |
| Additional COCA Conference | 0.688101 |
| CDC Influenza Division | 0.77734 |
| new H7N9 virus | 0.663083 |
| important safety information | 0.657624 |
| health care providers | 0.763055 |
| Weekly Flu View | 0.656141 |
| Free CE credit/contact | 0.652478 |
| human medical products | 0.643566 |
| El Nino Southern | 0.659822 |
| Typhoon Haiyan | 0.649272 |
| FDA Investigates Multistate | 0.665989 |
| Current Travel Warnings | 0.642666 |
| seasonal flu | 0.634851 |
| Pre-packaged Salad Products | 0.641175 |
| Event Reporting Program | 0.642894 |
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| health problems | 0.621529 |
| public health agencies | 0.729759 |
| East Respiratory Syndrome | 0.762049 |
| Emergency Response Learning | 0.681173 |
| Health Professionals | 0.611864 |
| respiratory illness | 0.654846 |
| challenging winter forecasts | 0.646697 |
| COCA Email Update | 0.704215 |
| preparedness planning | 0.643992 |
| public health community | 0.72311 |
| COCA Call/Webinar | 0.623316 |
| risk assessment tools | 0.67727 |
| Annual Winter Outlook | 0.650964 |
| Upper Midwest Preparedness | 0.702725 |
| public health | 0.927514 |
| Specific Hazards preparedness | 0.698525 |
| Middle East Respiratory | 0.76208 |
| in-person training centers | 0.654759 |
| basic needs | 0.643723 |
| FoodSafety.gov Reports FDA | 0.67021 |
| weekly influenza surveillance | 0.651634 |
| severe respiratory illness | 0.651493 |
| USDA Food Recalls | 0.654669 |
| Response Training Resources | 0.668195 |
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Morbidity and Mortality Weekly Report (MMWR) Audio/Video Resources |
CDC Audio/Video Resources: CDC produces online videos, audio clips, podcasts, and public service announcements, and has a limited supply of B-Roll for productions. |
| 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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Centers for Disease Control and Prevention |
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Infographic: CDC Travelers' Health Website Guide |
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Centers for Disease Control and Prevention |
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Child Passenger Safety. Buckle up every age, every trip |
This month's Vital Signs (www.cdc.gov/vitalsigns/) reports that motor vehicle crashes are a leading cause of death for children in the US. Buckling up is the best way to save lives and reduce injuries.
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=b28af940915d89aa67d021419673dbea20140203140543296 |
| trip | 0.428055 |
| Child Passenger Safety | 0.959915 |
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Poisoning Deaths Involving Opioid Analgesics - New YorkState, 2003-2012 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| similar upward trend | 0.342596 |
| Mark J. Sharp | 0.394609 |
| Medicaid enrollees | 0.5188 |
| opioid analgesic deaths | 0.497888 |
| York State Department | 0.353347 |
| Medicaid enrollment figures | 0.37503 |
| age-adjusted death rates | 0.416004 |
| Medicaid population | 0.365366 |
| New York City | 0.362435 |
| state vital statistics | 0.395025 |
| prescription opioid-related deaths | 0.389486 |
| higher age-adjusted death | 0.347291 |
| deaths | 0.581051 |
| post-mortem drug test | 0.350531 |
| Thomas A. Melnik | 0.353229 |
| opioid analgesic-related mortality | 0.662005 |
| bridged-race population estimates | 0.345585 |
| Medicaid enrollment | 0.422428 |
| York state residents | 0.433637 |
| new york state | 0.88845 |
| opioid involvement | 0.417932 |
| statewide Medicaid enrollment | 0.41759 |
| death certificate | 0.394965 |
| statistics multiple-cause-of-death data | 0.349441 |
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| higher death rates | 0.355668 |
| non-NYC reporting jurisdictions | 0.3475 |
| opioid analgesic poisoning | 0.444675 |
| death rates | 0.433619 |
| nearly quadrupled death | 0.357106 |
| specific drug types | 0.350386 |
| state Medicaid enrollees | 0.392504 |
| U.S. standard population | 0.345465 |
| Medicaid recipients | 0.376071 |
| opioid analgesic poisonings | 0.456639 |
| multiple-cause-of-death mortality data | 0.360595 |
| Prescription Monitoring Program | 0.347559 |
| Medicaid enrollment data | 0.417951 |
| U.S. Census Bureau | 0.345586 |
| total drug mortality | 0.36099 |
| drug poisoning fatalities | 0.354028 |
| rate ratios | 0.34577 |
| opioid analgesics | 0.977794 |
| opioid analgesic-related deaths | 0.570277 |
| drug deaths | 0.384237 |
| multiple drug involvement | 0.347804 |
| demographic differences | 0.347936 |
| frequently documented drugs | 0.34323 |
| crude death rates | 0.356092 |
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Centers for Disease Control and Prevention |
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Cote de Pablo for Inside Knowledge Behind-the-Scenes Video (2:05) |
Actress Cote de Pablo talks about her own cervical cancer scare and shares advice for other women.
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/wcms/videos/low-res/NCCDPHP/2015/cote_video_english_btsb_936045.mp4 |
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| Knowledge Behind-the-Scenes Video | 0.89188 |
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Improving Access to Chronic Disease Data | CDC Features |
Interested in chronic disease data, risk factors, health indicators, and policy measures? CDC is making all these data and indicators much easier to access and use. Use the data to describe the burden of chronic disease as well as common risk factors, identify research gaps, monitor population trends, and evaluate programs. |
| country | 0.227669 |
| mobile phones | 0.280274 |
| user types | 0.277055 |
| Chronic Open Data | 0.449003 |
| research gaps | 0.296185 |
| Health Promotion | 0.482577 |
| health topics | 0.340869 |
| Disease Control | 0.292663 |
| disease data sets | 0.419115 |
| state | 0.24539 |
| data needs | 0.315207 |
| Jason Bonander | 0.284767 |
| local governments | 0.278006 |
| sorts | 0.231724 |
| National Center | 0.407598 |
| risk factors | 0.386254 |
| federal governments | 0.282946 |
| health educators | 0.30666 |
| wide variety | 0.28022 |
| better-informed decisions | 0.278051 |
| users | 0.227462 |
| open data format | 0.405031 |
| chronic disease | 0.958455 |
| Information Resources Management | 0.347186 |
| Success stories | 0.276319 |
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| chronic disease data | 0.796143 |
| common risk factors | 0.36782 |
| health indicators | 0.386658 |
| application sharing | 0.28086 |
| Increase data | 0.31941 |
| policy measures | 0.294703 |
| new open data | 0.416233 |
| Federal Government | 0.285196 |
| data demands | 0.324223 |
| actionable data | 0.320573 |
| underlying concept | 0.285634 |
| openness | 0.241656 |
| local health departments | 0.379901 |
| health communicators | 0.310245 |
| common tools | 0.286083 |
| innovation | 0.228415 |
| novel visualizations | 0.286259 |
| CDC partners | 0.302888 |
| open data | 0.6875 |
| health data application | 0.404092 |
| Chronic Disease Prevention | 0.764825 |
| recent launch | 0.28613 |
| population trends | 0.287965 |
| new audiences | 0.283807 |
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