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World Stroke Day: We Can Prevent Stroke | CDC Features |
October 29 is World Stroke Day. This year, the World Stroke Organization is introducing a new slogan for this important health observance: “Because I care…” This theme reminds us that caring about ourselves, our families, and our friends is the key to preventing strokes and to helping those who experience a stroke. |
| Stroke Statistics—2017 Update | 0.659529 |
| Million Hearts® initiative | 0.482447 |
| Table D-9 | 0.450969 |
| training.3 Physical activity | 0.499846 |
| moderate-intensity aerobic exercise | 0.497251 |
| health care team | 0.584669 |
| high cholesterol | 0.608895 |
| Statistics Cooperative Program | 0.486124 |
| CDC WONDER Online | 0.494604 |
| Healthy Living | 0.451634 |
| stroke risk | 0.647431 |
| health conditions | 0.465602 |
| blood flow | 0.469173 |
| blood vessels | 0.461558 |
| Death Files | 0.452079 |
| ischeic strokes | 0.476676 |
| women age | 0.453006 |
| CDC’s Division | 0.457686 |
| Ischemic strokes | 0.475355 |
| daily pillbox | 0.453696 |
| healthy foods | 0.460151 |
| U.S. Census Bureau. | 0.482754 |
| stroke patients | 0.623377 |
| stroke deaths | 0.632167 |
| African Americans | 0.486706 |
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| MMWR Morb Mortal | 0.486232 |
| preventable death.4 Smoking | 0.50445 |
| Physical Activity Guidelines | 0.486181 |
| Health Statistics. | 0.452394 |
| World Stroke | 0.671727 |
| heart disease | 0.581202 |
| healthy lifestyle choices | 0.504552 |
| severe disability | 0.460867 |
| Stroke rates | 0.628881 |
| Stroke Program funds | 0.663445 |
| Fair/Poor Health | 0.452906 |
| American Heart Association | 0.49365 |
| Multiple Cause | 0.484941 |
| lower cholesterol | 0.463192 |
| prescription drug insurance | 0.493596 |
| blood pressure medicine | 0.510482 |
| Antihypertensive Medication Nonadherence | 0.485002 |
| stroke | 0.944501 |
| vital statistics jurisdictions | 0.484336 |
| brisk walking | 0.451956 |
| high blood pressure | 0.780922 |
| et al | 0.481816 |
| act F.A.S.T. | 0.450605 |
| blood clot | 0.471104 |
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Trends in Foodborne Illness in the United States, 2012 - Bar Graph - CDC Features |
Documenting trends—which illnesses are decreasing and increasing—is essential for monitoring our progress in reducing foodborne illness. |
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This Is Personal | Terrence Howard | Talks on Colon Cancer |
Golden Globe® and Academy Award® nominated actor and musician Terrence Howard has joined CDC's Screen for Life: National Colorectal Cancer Action Campaign! Mr. Howard talks about his mother, her influence on him, and how her death from colon cancer affected his whole family. He says, "This is personal but there is something you can do to prevent this disease." He urges men and women aged 50 and older to be screened for colorectal cancer.
The public service announcements featuring Mr. Howard were created by CDC's Screen for Life: National Colorectal Cancer Action Campaign in partnership with the National Colorectal Cancer Research Alliance, a program of the Entertainment Industry Foundation.
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/cancer/colorectal/sfl/psa.htm |
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Winnable Battles - Resources |
CDC's Winnable Battles are public health priorities with large-scale impact on health and with known, effective strategies to address them. |
| Background information | 0.337783 |
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| Winnable Battle topic | 0.633114 |
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| action items | 0.326985 |
| general overview | 0.322047 |
| narrated presentations | 0.325804 |
| media coverage | 0.336344 |
| Questions | 0.223359 |
| state | 0.221132 |
| href= | 0.220133 |
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| hear | 0.224557 |
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| height | 0.226083 |
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| CDC’s Winnable | 0.698939 |
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| border | 0.220488 |
| goals. | 0.233789 |
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| strategies | 0.219962 |
| Winnable Battles | 0.904222 |
| Winnable Battles targets | 0.798388 |
| overview PowerPoint presentation | 0.443575 |
| http://www.cdc.gov/winnablebattles/?s_cid=bb-winnable-battles-001″ title= | 0.317575 |
| width | 0.226256 |
| progress | 0.242049 |
| Learn | 0.226513 |
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50 Things You Might Not Know About CDC |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| skin cancer risk | 0.603925 |
| National Stroke Awareness | 0.587749 |
| skin cancer | 0.62996 |
| CDC | 0.931415 |
| control mosquitoes | 0.501092 |
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| Health Equity | 0.509132 |
| active living | 0.499903 |
| Minority Health | 0.510599 |
| public health opportunities | 0.599644 |
| uncertain times | 0.501008 |
| recreational water illnesses | 0.576775 |
| raw milk | 0.555172 |
| health hazards | 0.540892 |
| public’s health | 0.532388 |
| Child Abuse Prevention | 0.568486 |
| important steps | 0.506163 |
| EPA-registered insect repellents | 0.580144 |
| Children’s Dental | 0.558809 |
| America’s health | 0.53383 |
| different types | 0.509281 |
| old-fashioned detective work | 0.574906 |
| early childhood | 0.505503 |
| highest risk | 0.553061 |
| Home canning | 0.502145 |
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| stroke symptoms | 0.512686 |
| health benefits | 0.516405 |
| environmental exposures | 0.509125 |
| health threats | 0.530854 |
| United States | 0.595274 |
| up-to-date vaccination record | 0.593217 |
| Cancer survivors | 0.503068 |
| disease outbreak | 0.504858 |
| common cancer | 0.509635 |
| shingles increases | 0.499397 |
| heart disease | 0.550747 |
| Air Quality Index | 0.568437 |
| African American History | 0.565937 |
| J. Sencer CDC | 0.755644 |
| harmful algal blooms | 0.733343 |
| CDC staff | 0.699666 |
| impact African Americans | 0.557461 |
| permanent hearing loss | 0.570557 |
| CDC Headquarters | 0.672259 |
| health | 0.646347 |
| public health settings | 0.585109 |
| simple steps | 0.49881 |
| Dental Health | 0.567146 |
| vaccine-preventable diseases | 0.513795 |
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Multistate Meningitis Outbreak Investigation - Large Map |
CDC - Float Option Page with Navigation example description goes here |
| multistate outbreak | 0.609013 |
| treatment | 0.251854 |
| Center | 0.252189 |
| CDC | 0.30069 |
| patients | 0.325705 |
| tainted steroid injections | 0.934027 |
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| patient recovery | 0.492487 |
| New England Compounding | 0.792726 |
| infections | 0.382662 |
| clinicians | 0.519827 |
| relevant materials | 0.495312 |
| web resources | 0.535233 |
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Efectos en la actividad física por los cambios en el ambiente construido de un vecindario afroamericano de bajos recursos |
CDC - Wide Page example description goes here |
| Rice J | 0.592432 |
| African American neighborhood | 0.868312 |
| Farley TA | 0.630397 |
| comparación basándonos | 0.701646 |
| physical activity | 0.661003 |
| bajos niveles | 0.658069 |
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| neighborhood built environment | 0.933174 |
| salud pública | 0.895663 |
| Gustat J | 0.573492 |
| Becker AB | 0.599719 |
| bajos recursos | 0.921311 |
| Chronic Dis | 0.617028 |
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Viral Hemorrhagic Fevers - VHF' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
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Enterovirus and Human Parechovirus Surveillance - UnitedStates, 2009-2013 |
Glen R. Abedi, MPH1; John T. Watson, MD1; Huong Pham, MPH1; W. |
| commonly reported types | 0.57357 |
| HPeV molecular typing | 0.461647 |
| annual detections | 0.461129 |
| specific EV types | 0.578971 |
| public health practitioners | 0.595657 |
| National Enterovirus Surveillance | 0.500759 |
| mouth disease | 0.568089 |
| monthly NESS reporting | 0.523313 |
| Susan I. Gerber | 0.47114 |
| virus types | 0.485007 |
| detections | 0.554966 |
| private reference laboratory | 0.467289 |
| positive tests | 0.501825 |
| frequently reported specimen | 0.547246 |
| M. Steven Oberste | 0.473053 |
| clinical laboratories | 0.528717 |
| EV | 0.768749 |
| non-enveloped RNA viruses | 0.474125 |
| EV activity | 0.496004 |
| CVA6 detections | 0.544358 |
| Type-based enterovirus surveillance | 0.483136 |
| HPeV | 0.620292 |
| laboratories | 0.591346 |
| public health laboratories | 0.521519 |
| passive surveillance | 0.469412 |
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| commonly reported specimen | 0.541604 |
| United States | 0.956007 |
| severe clinical outcomes | 0.477284 |
| Glen R. Abedi | 0.469267 |
| common EV type | 0.582429 |
| predominant circulating type | 0.494653 |
| specimen types | 0.464753 |
| type) data. | 0.507515 |
| virus type | 0.634502 |
| HPeV types | 0.565213 |
| public health | 0.691216 |
| types | 0.622708 |
| specimen collection date | 0.468419 |
| John T. Watson | 0.474436 |
| EV circulation | 0.502133 |
| EV molecular methods | 0.55225 |
| Enteric Virus Surveillance | 0.476958 |
| W. Allan Nix | 0.473251 |
| multiple U.S. states | 0.467256 |
| NESS | 0.695009 |
| EV types | 0.60253 |
| specimen type | 0.479802 |
| EV species | 0.53687 |
| HPeV detections | 0.478739 |
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Interim Guidelines for Pregnant Women During a Zika Virus Outbreak - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| recent travel | 0.333206 |
| Zika virus | 0.925008 |
| Zika virus bite | 0.416821 |
| subsequent fetal abnormality | 0.335842 |
| pregnant women | 0.543228 |
| pregnant woman | 0.343225 |
| Zoonotic Infectious Diseases | 0.344678 |
| health care providers | 0.466789 |
| positive RT-PCR result | 0.332206 |
| National Center | 0.335416 |
| fetal brain abnormality | 0.334011 |
| Mathis A. Dengue | 0.33612 |
| Zika virus RNA | 0.430425 |
| laboratory evidence | 0.34341 |
| pregnancy | 0.333466 |
| ongoing Zika virus | 0.470159 |
| Zika virus disease | 0.511625 |
| fetal losses | 0.333221 |
| insect repellents | 0.338668 |
| Zika virus outbreak | 0.445874 |
| Zika virus transmission | 0.586729 |
| asymptomatic pregnant women | 0.35057 |
| maculopapular rash | 0.349424 |
| pregnancy management | 0.332046 |
| dengue virus IgM | 0.406379 |
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| maternal Zika virus | 0.402614 |
| intrauterine infection | 0.343648 |
| fetal Zika virus | 0.421071 |
| intracranial calcifications | 0.332676 |
| concurrent infection | 0.33278 |
| Zika virus infection | 0.750232 |
| Zika virus immunoglobulin | 0.403419 |
| specific antiviral treatment | 0.357232 |
| amniotic fluid | 0.344223 |
| local health department | 0.384648 |
| maternal-fetal medicine | 0.332734 |
| acute onset | 0.347949 |
| local health departments | 0.332234 |
| Zika virus infections | 0.443775 |
| congenital infection | 0.332506 |
| chikungunya virus infection | 0.448261 |
| infectious disease specialist | 0.357293 |
| pregnant returning travelers | 0.347764 |
| antibody titers | 0.336072 |
| Zika virus RT-PCR | 0.417438 |
| Zika virus IgM | 0.405525 |
| et al | 0.338481 |
| Ultrasound Obstet Gynecol | 0.348583 |
| confirmatory neutralizing antibody | 0.335376 |
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