| 3012 |
Centers for Disease Control and Prevention |
Html |
en |
Travel Smart: Get Vaccinated |
null |
| vaccine recommendations | 0.567091 |
| Safe Around Animals | 0.449784 |
| n’t touch | 0.446371 |
| vaccinations | 0.376183 |
| Zika infection | 0.482228 |
| health care provider | 0.625021 |
| alcohol-based hand sanitizer | 0.590782 |
| Zika virus | 0.483249 |
| Bug Bites | 0.449229 |
| pregnant women | 0.482613 |
| best protection | 0.45852 |
| especially monkeys | 0.447981 |
| pregnant woman | 0.614539 |
| yellow fever vaccine | 0.694005 |
| rural areas | 0.486909 |
| unvaccinated travelers | 0.449352 |
| routine vaccines | 0.560703 |
| important ways | 0.457402 |
| Water Safety tips | 0.576344 |
| Certain activities | 0.468064 |
| travel vaccines | 0.694787 |
| specific diseases | 0.459728 |
| infected Aedes species | 0.627867 |
| vaccine records | 0.580842 |
| sex partners | 0.473443 |
|
| United States | 0.630766 |
| foreign country | 0.454578 |
| Zika | 0.507448 |
| measles cases | 0.521038 |
| ) vaccine. | 0.570248 |
| health care | 0.952356 |
| U.S. residents | 0.457437 |
| travel destination | 0.487991 |
| Fever Vaccination Clinic | 0.613821 |
| sexual transmission | 0.462437 |
| international travel | 0.791194 |
| higher health risks | 0.652547 |
| primary health care | 0.623945 |
| vaccine series | 0.57518 |
| stamped vaccine certificate | 0.696178 |
| birth defects | 0.465202 |
| vaccine | 0.717058 |
| vaccination history | 0.515763 |
| infectious disease | 0.46851 |
| body needs | 0.461679 |
| latest health updates | 0.602222 |
| travel clinic | 0.492245 |
| vaccine-preventable diseases | 0.485771 |
| time | 0.41948 |
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Centers for Disease Control and Prevention |
Html |
en |
Obesity - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Obesity |
| healthy diet | 0.429296 |
| general public | 0.401987 |
| Latanya | 0.353968 |
| Hispanic Americans | 0.405553 |
| daily lives | 0.40332 |
| youth | 0.245664 |
| body weight | 0.419823 |
| major known contributors | 0.586429 |
| children | 0.242293 |
| healthy lifestyle | 0.406264 |
| sleep apnea | 0.420978 |
| obesity | 0.764466 |
| dangerous neighborhood | 0.387649 |
| obese people | 0.633673 |
| healthier foods | 0.403008 |
| safe spaces | 0.395153 |
| weight | 0.43895 |
| decision makers | 0.390874 |
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| African American girl | 0.561192 |
| health problems | 0.598249 |
| regular physical activity | 0.544615 |
| teaching people | 0.401056 |
| healthier communities | 0.409903 |
|
| obese puts | 0.584221 |
| dietary choices | 0.409685 |
| United States | 0.659949 |
| calorie intake | 0.414634 |
| osteoarthritis | 0.245637 |
| adults | 0.245051 |
| African Americans | 0.40177 |
| regular exercise | 0.614548 |
| prevalence | 0.246452 |
| eating habits | 0.392918 |
| heart disease | 0.419471 |
| overweight | 0.97874 |
| health care | 0.399351 |
| annual visit | 0.392692 |
| lower socio-economic status | 0.590385 |
| harmful effects | 0.425367 |
| Weight loss | 0.421948 |
| healthy weight | 0.409833 |
| calories | 0.341042 |
| physical activity | 0.825727 |
| Researchers | 0.24515 |
| Policy makers | 0.395841 |
| drive-by shooting | 0.412698 |
| risk | 0.278017 |
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Centers for Disease Control and Prevention |
Html |
en |
Cigarette Smoking in the United States - Data and Statistics on Smoking - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Data and statistics on cigarette smoking among adults in the United States. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Mortality Weekly Report | 0.549855 |
| Human Services | 0.357471 |
| highest prevalence | 0.283722 |
| higher prevalence | 0.303525 |
| non-Hispanic Asian adults | 0.320441 |
| J. Cigarette Smoking | 0.386198 |
| U.S. Department | 0.372036 |
| Health Promotion | 0.272818 |
| Disease Control | 0.470534 |
| current cigarette smoking | 0.787046 |
| health condition smoke | 0.275823 |
| racial/ethnic groups | 0.263423 |
| mental health condition | 0.424562 |
| current* cigarette smokers | 0.317361 |
| Health Interview Survey | 0.271626 |
| American Journal | 0.307246 |
| Cigarette Smoking–United States | 0.31025 |
| U.S. high school | 0.266277 |
| Asian Americans | 0.301996 |
| Defense Health Related | 0.269674 |
| obstructive pulmonary disease | 0.264118 |
| smoking prevalence | 0.797792 |
| current cigarette smokers.18 | 0.313919 |
| United States | 0.585388 |
| current smoking prevalence | 0.481202 |
|
| adults | 0.338818 |
| cigarette smoking | 0.967505 |
| Defense Health Cost | 0.269747 |
| Mental Illness—United States | 0.270263 |
| lowest current cigarette | 0.321907 |
| Adults—United States | 0.264725 |
| United States Coast | 0.272245 |
| National Survey | 0.262444 |
| cigarette smoking rates | 0.410732 |
| School Students—United States | 0.265324 |
| comprehensive representation | 0.263121 |
| American Indians/Alaska Natives | 0.408381 |
| Jun | 0.325722 |
| population.12,13 Cigarette smoking | 0.404494 |
| Community Health Study/Study | 0.271634 |
| United States.3 Factors | 0.270822 |
| cigarette smoking prevalence | 0.797781 |
| *Current cigarette smoking | 0.42831 |
| high school students | 0.299851 |
| direct medical care | 0.262532 |
| Chronic Disease Prevention | 0.309552 |
| Preventive Medicine | 0.283706 |
| U.S. Hispanic/Latino Adults | 0.272349 |
| mental health conditions | 0.366955 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Global Health - Global Health Security - The U.S. Government Global Health Security Agenda |
CDC seeks to accelerate progress toward a world safe and secure from infectious disease threats and to promote global health security. |
| antimicrobial drug resistant | 0.621486 |
| CDC | 0.301344 |
| endorsement | 0.2525 |
| nations | 0.238335 |
| transparent reporting | 0.411958 |
| Promote national biosafety | 0.618524 |
| international organizations | 0.446522 |
| partner countries | 0.430999 |
| infectious disease threats | 0.999151 |
| number | 0.233894 |
| effective biosurveillance workforce | 0.577339 |
| Notice | 0.234659 |
| Emergency Operations Centers | 0.566253 |
| infectious disease outbreaks | 0.661766 |
| biological incidents | 0.405283 |
| health emergencies | 0.403333 |
| private stakeholders | 0.458071 |
| partnership | 0.23355 |
| prevention objectives | 0.461782 |
| laboratory systems | 0.402966 |
| organisms | 0.237028 |
| global health security | 0.65721 |
| response objectives | 0.439491 |
| global norm | 0.434807 |
|
| specific objectives | 0.482215 |
| global networks | 0.425334 |
| real-time biosurveillance | 0.408135 |
| global access | 0.411849 |
| government sister agencies | 0.646934 |
| Content source | 0.40846 |
| HHS | 0.257179 |
| U.S. | 0.272746 |
| world | 0.23802 |
| international regulatory frameworks | 0.615508 |
| biosecurity systems | 0.436114 |
| magnitude | 0.250503 |
| emergence | 0.244086 |
| sample sharing | 0.405849 |
| Launch | 0.231561 |
| spread | 0.233847 |
| food safety | 0.418013 |
| novel diagnostics | 0.405769 |
| multi-sectoral response | 0.435725 |
| non-federal site | 0.430271 |
| international security priority | 0.651264 |
| zoonotic diseases | 0.441984 |
| progress | 0.2321 |
| non-medical countermeasures | 0.426754 |
|
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| 11760 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Obesity and Associated Factors- Kingdom of Saudi Arabia, 2013 - CDC |
Data on obesity from the Kingdom of Saudi Arabia (KSA) are nonexistent, making it impossible to determine whether the efforts of the Saudi Ministry of Health are having an effect on obesity trends. To determine obesity prevalence and associated factors in the KSA, we conducted a national survey on chronic diseases and their risk factors. |
| logistic regression model | 0.26397 |
| major risk factor | 0.29335 |
| total caloric intake | 0.275079 |
| self-reported hypercholesterolemia status | 0.252146 |
| obesity prevention programs | 0.359765 |
| noncommunicable diseases | 0.240795 |
| randomly selected adult | 0.275423 |
| systolic blood pressure | 0.408376 |
| Drewnowski A. Obesity | 0.370567 |
| hypercholesterolemia | 0.262336 |
| Saudi Health Information | 0.261597 |
| associated risk factors | 0.290023 |
| congestive heart failure | 0.287978 |
| previous studies | 0.258984 |
| obesity prevalence | 0.525614 |
| obesity | 0.979323 |
| multivariate logistic regression | 0.374155 |
| blood pressure | 0.667774 |
| normal weight | 0.274635 |
| body mass index | 0.401521 |
| Al Murabba Riyadh | 0.259541 |
| decreased physical activity | 0.244773 |
| obesity levels | 0.416431 |
| obesity values | 0.345301 |
|
| Health Metrics | 0.254413 |
| sociodemographic characteristics | 0.279782 |
| survey | 0.306569 |
| women | 0.545187 |
| obesity level | 0.325104 |
| blood pressure levels | 0.239939 |
| obesity trends | 0.429963 |
| KSA department | 0.246811 |
| Saudi Arabia | 0.424829 |
| men | 0.458812 |
| KSA | 0.454946 |
| marital status | 0.313233 |
| global obesity epidemic | 0.366679 |
| health care | 0.240699 |
| self-reported chronic conditions | 0.305657 |
| chronic diseases | 0.24858 |
| health | 0.482728 |
| consumption | 0.246944 |
| complex sampling design | 0.297526 |
| risk factor | 0.303197 |
| chronic conditions | 0.378459 |
| physical activity | 0.841401 |
| KSA Census Bureau | 0.285923 |
| high blood pressure | 0.246703 |
|
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| 12131 |
Centers for Disease Control and Prevention |
Html |
en |
For General Healthcare Settings in West Africa: How toPrepare and Use Chlorine Solutions | Ebola Hemorrhagic Fever |CDC |
null |
| available chlorine | 0.576233 |
| Rutala WA | 0.646776 |
| ebola virus | 0.783437 |
| alcohol-based hand rubs | 0.562903 |
| Appl Environ Microbiol | 0.647026 |
| Hosp Infect | 0.598639 |
| U.S. bleach products | 0.536002 |
| environmental infection control | 0.588376 |
| chlorine hypochlorite products | 0.713783 |
| Healthcare Infection Control | 0.623159 |
| calcium hypochlorite | 0.555629 |
| Control Practices Advisory | 0.590758 |
| environmental surface disinfection | 0.570381 |
| healthcare facilities | 0.536578 |
| Sobsey MD | 0.564474 |
| quaternary ammonium compound | 0.534097 |
| chlorine products | 0.626005 |
| chlorine product | 0.582661 |
| wet contact time | 0.549569 |
| Clin Microbiol | 0.607924 |
| hand hygiene | 0.683333 |
| Clorox germicidal bleach | 0.577038 |
| sodium hypochlorite | 0.790942 |
| chlorine disinfectants | 0.579762 |
|
| Sattar SA | 0.548871 |
| chlorine odor | 0.584101 |
| Infection Control Practices | 0.707062 |
| chlorine solutions | 0.99147 |
| mild chlorine solutions | 0.63488 |
| United States | 0.595513 |
| CDC. Infection control | 0.546093 |
| infection control | 0.770162 |
| Confirmed Ebola Virus | 0.544796 |
| Ebola Virus Disease | 0.594004 |
| hypochlorite solution | 0.534323 |
| wet contact times | 0.550155 |
| chlorine toxicity | 0.563544 |
| Practices Advisory Committee | 0.691991 |
| Hospital Infection Control | 0.58475 |
| Infect Control Hosp | 0.81096 |
| infection control measures | 0.557749 |
| chlorine inactivation | 0.579953 |
| Control Hosp Epidemiol | 0.787509 |
| chemical disinfection | 0.624613 |
| chlorine range | 0.574694 |
| West Africa | 0.730792 |
| healthcare settings | 0.571083 |
| chlorine residuals | 0.574395 |
|
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| 12539 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Justin's Story, Let's Stop HIV Together |
In this digital story, Justin discusses the stream of emotions he felt when he received his HIV diagnosis and how important it is for the disproportionately affected Latino community to have conversations about HIV.
Let's Stop HIV Together is a national HIV awareness and anti-stigma campaign produced by the Centers for Disease Control and Prevention (CDC). It features stories of individuals living with HIV and the people who support them. Join the conversation on Facebook at www.facebook.com/ActAgainstAIDS.
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=df54e4f5bad48b85b2314b74a485b0c820131121155654234 |
| CDC | 0.669297 |
| Justin | 0.635322 |
|
| Story | 0.363602 |
| YouTube | 0.644746 |
|
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| 12962 |
Centers for Disease Control and Prevention |
Html |
en |
New AMA, CDC Initiative Aims to "Prevent Diabetes STAT" |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC’s toolkit | 0.520506 |
| CDC | 0.733239 |
| American Medical Association | 0.739074 |
| robust work | 0.432449 |
| Health Outcomes initiative | 0.534629 |
| national trend | 0.434649 |
| type | 0.618317 |
| National Diabetes Prevention | 0.715205 |
| AMA President Robert | 0.633221 |
| Disease Control | 0.435087 |
| AMA | 0.666244 |
| Dr. Wah | 0.529233 |
| urgent action | 0.435676 |
| medical condition | 0.434402 |
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| health care professionals | 0.572997 |
| premier national organization | 0.50743 |
| frontline physicians | 0.429206 |
| physician practice | 0.520599 |
| patients | 0.439166 |
| key stakeholders | 0.548484 |
| CDC’s Division | 0.536692 |
| immediate action | 0.430768 |
|
| practice pilot sites | 0.505935 |
| national effort | 0.432348 |
| diabetes prevention programs | 0.721556 |
| higher-than-normal blood glucose | 0.530717 |
| Physician Practice Resources | 0.495794 |
| lifestyle change programs | 0.698349 |
| health threats | 0.431423 |
| care delivery | 0.441379 |
| National DPP | 0.435297 |
| high-risk patients | 0.43463 |
| stronger linkages | 0.431306 |
| U.S. health protection | 0.526532 |
| health care | 0.739742 |
| M. Wah | 0.446259 |
| critical effort | 0.440362 |
| multi-year initiative | 0.439017 |
| prediabetes | 0.458937 |
| Prevent Diabetes STAT | 0.942005 |
| evidence-based lifestyle change | 0.49171 |
| overweight people | 0.43427 |
| people | 0.472769 |
| public health epidemic | 0.52391 |
| online screening tool | 0.509937 |
| diabetes | 0.995904 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Zika Travel Information | Travelers' Health |
Zika travel information, zika virus |
| South America | 0.724604 |
| Central America | 0.727575 |
| Papua New Guinea | 0.832255 |
| Caicos Islands | 0.744948 |
| Zika infection | 0.763712 |
| East Timor | 0.728513 |
| travel recommendations | 0.713351 |
| Zika virus | 0.847966 |
| visit Areas | 0.753066 |
| severe birth defects | 0.839429 |
| North America | 0.727087 |
| Solomon Islands | 0.735682 |
| pregnant women | 0.96146 |
| El Salvador | 0.721631 |
| European CDC | 0.794394 |
| Marshall Islands | 0.733026 |
| Zika virus country | 0.841231 |
| Saint Kitts | 0.736672 |
| scientific literature | 0.7124 |
| World Health Organization | 0.811558 |
| South Sudan | 0.74006 |
| Pacific Islands | 0.738696 |
| Democratic Republic | 0.730375 |
| Sint Eustatius | 0.753694 |
|
| Central African Republic | 0.843855 |
| up-to-date information | 0.852778 |
| travel plans | 0.85016 |
| Côte d’Ivoire | 0.741066 |
| Puerto Rico | 0.715401 |
| French Guiana | 0.725539 |
| Sierra Leone | 0.724168 |
| Saint Vincent | 0.727308 |
| Equatorial Guinea | 0.744489 |
| international destinations | 0.739529 |
| Costa Rica | 0.712256 |
| Cape Verde | 0.730372 |
| Saint Martin | 0.732662 |
| CDC Travelers | 0.889888 |
| Sint Maarten | 0.749018 |
| visit CDC | 0.836957 |
| Zika website | 0.768911 |
| prevention steps | 0.729844 |
| sexual transmission | 0.723641 |
| countries/territories/subnational areas | 0.715452 |
| Saint Lucia | 0.732654 |
| current information | 0.754345 |
| British Virgin Islands | 0.844911 |
| Dominican Republic | 0.724648 |
|
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| 15572 |
Centers for Disease Control and Prevention |
Html |
en |
Harmful Algal Blooms | CDC Features |
Harmful algal blooms can produce toxins that are dangerous to people, animals, and the environment. Learn what harmful algal blooms are, how you and your pets should keep away from them, and what CDC is doing about them. |
| pets | 0.219718 |
| CDC | 0.219943 |
| brown organisms | 0.234116 |
| harmful algal bloom | 0.595686 |
| storm water runoff | 0.262359 |
| Warm weather | 0.237222 |
| web-based national reporting | 0.258945 |
| environmental health | 0.280697 |
| human health | 0.235032 |
| Great Lakes | 0.232143 |
| Health Harmful Algal | 0.413136 |
| poison information center | 0.255204 |
| animals | 0.257314 |
| pet | 0.210391 |
| public’s health | 0.2425 |
| state guidance | 0.228769 |
| stomach symptoms | 0.23326 |
| harmful blooms | 0.363941 |
| coastal states | 0.231 |
| unpleasant scum | 0.237067 |
| water | 0.269482 |
| associated illnesses | 0.23105 |
| farming practices | 0.231707 |
| algal toxins | 0.313972 |
| Health issue | 0.236225 |
|
| freshwater body | 0.231514 |
| Health approach | 0.235282 |
| contaminated fish | 0.230471 |
| territorial public health | 0.262502 |
| tap water | 0.232404 |
| immediate questions | 0.230431 |
| beach advisories | 0.230619 |
| algal bloom toxins | 0.372576 |
| United States | 0.232715 |
| bodies | 0.210747 |
| animal health partners | 0.261722 |
| microscopic plant-like organisms | 0.268694 |
| harmful algal blooms | 0.932788 |
| yard fun | 0.23672 |
| local water body | 0.257025 |
| algal bloom events | 0.357147 |
| water supply | 0.237639 |
| people | 0.243721 |
| marine waters | 0.231915 |
| wastewater overflows | 0.232621 |
| environmental health experts | 0.26087 |
| healthcare provider | 0.23134 |
| major U.S. city | 0.262063 |
| health risks | 0.235261 |
|
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