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Centers for Disease Control and Prevention |
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en |
Healthier Worksite Initiative - HWI: Program Design:Wellness Committees |
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| list Skip | 0.808128 |
| regular physical activity | 0.615709 |
| good nutrition | 0.383411 |
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| page options Skip | 0.980187 |
| childhood obesity | 0.501657 |
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| 6368 |
Centers for Disease Control and Prevention |
Html |
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CDC launches effort to protect cancer patients from infections - Press Release: October 25, 2011 |
CDC launches effort to protect cancer patients from infections |
| cancer treatment | 0.685251 |
| comprehensive initiative | 0.473257 |
| patient education materials | 0.529539 |
| life-threatening infections | 0.517763 |
| CDC Foundation | 0.50547 |
| Alice Guh | 0.468647 |
| new resources | 0.477529 |
| infection prevention expertise | 0.612449 |
| active role | 0.477946 |
| chemotherapy treatment | 0.496482 |
| CDC Director Thomas | 0.589153 |
| Disease Control | 0.484825 |
| minimal expectations | 0.470312 |
| health care-associated infections | 0.568338 |
| Prevention Plan | 0.538677 |
| cell count | 0.472571 |
| interactive website | 0.475775 |
| health care providers | 0.659204 |
| basic infection prevention | 0.613733 |
| oncology care | 0.520914 |
| patient safety | 0.474995 |
| risk factors | 0.471187 |
| key policies | 0.471126 |
| cancer patients | 0.938622 |
| evidence-based guidelines | 0.4705 |
|
| Outpatient Settings. | 0.492036 |
| Cancer Treatment website | 0.543236 |
| health care facilities | 0.533255 |
| new website | 0.474678 |
| health care settings | 0.565728 |
| major cause | 0.479924 |
| Basic Infection Control | 0.728964 |
| syringe reuse | 0.471139 |
| weak immune systems | 0.542475 |
| infection control policies | 0.602871 |
| facility administrators | 0.5344 |
| additional information | 0.468848 |
| dangerous side effect | 0.469255 |
| new program | 0.481764 |
| vulnerable patient population | 0.671387 |
| low white blood | 0.536913 |
| health care | 0.690079 |
| infection prevention experts | 0.602082 |
| clinicians necessary tools | 0.54582 |
| infection prevention | 0.752063 |
| newly released CDC | 0.570099 |
| action steps | 0.477213 |
| Cancer Patients program | 0.572002 |
| regular access | 0.469502 |
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Centers for Disease Control and Prevention |
Html |
en |
Print Ads - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Print ads of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| high school | 0.474406 |
| heart attack | 0.47575 |
| reasons | 0.335151 |
| Jamason | 0.362007 |
| Annette | 0.340876 |
| England | 0.33303 |
| print ad | 0.913767 |
| hospital incubator | 0.49738 |
| lung cancer | 0.487966 |
| pounds | 0.339896 |
| smoking | 0.48334 |
| Smokers® campaign | 0.771528 |
| severe asthma attacks | 0.633827 |
| headline | 0.334919 |
| CDC’s Tips | 0.7994 |
| kids | 0.370369 |
| secondhand smoke exposure | 0.679269 |
|
| toughest battle | 0.479406 |
| addiction | 0.338347 |
| people | 0.359456 |
| pack | 0.334761 |
| young son | 0.461571 |
| Amanda | 0.394908 |
| Beatrice | 0.341184 |
| severe asthma attack | 0.644328 |
| Brian | 0.391137 |
| baby girl | 0.49078 |
| giant scar | 0.492648 |
| letter | 0.335096 |
| life-threatening asthma attack | 0.637007 |
| cigarettes | 0.343756 |
| Air Force | 0.474578 |
| age | 0.404682 |
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| 8982 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers - Tiffany's Ad: Smoking and Family |
When Tiffany was 16, her mother—a cigarette smoker—died of lung cancer. Despite her loss, Tiffany started smoking 3 years later. In this TV commercial from CDC's Tips From Former Smokers campaign, Tiffany says she quit smoking at 34 because she could not bear the thought of missing out on any part of her own daughter's life.
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=c5f5cedff6bf5338739921d2ed4ce49820130318115156093 |
| Tiffany | 0.907834 |
| Smokers | 0.926978 |
| CDC | 0.912422 |
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| Family | 0.516094 |
| YouTube | 0.874162 |
| Smoking | 0.796115 |
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Centers for Disease Control and Prevention |
Html |
en |
Food Safety - Medscape Commentaries |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| foodborne diseases | 0.560608 |
| nut butters | 0.353053 |
| raw sprouts | 0.454322 |
| human illness | 0.397474 |
| Dr. Rob Tauxe | 0.469794 |
| ice cream | 0.34483 |
| special populations | 0.469937 |
| important lessons | 0.347135 |
| Food Poisoning | 0.473769 |
| Dr. Agam Rao | 0.49935 |
| raw milk | 0.43344 |
| common clinical misperceptions | 0.673662 |
| Medscape’s physicians | 0.429258 |
| noteworthy multistate outbreaks | 0.735013 |
| foodborne illnesses | 0.666877 |
| contaminated foods | 0.348048 |
| recent outbreaks | 0.620673 |
| Dr. Benjamin Silk | 0.469013 |
| Quick Facts | 0.336328 |
| Mexican-style restaurant | 0.348901 |
| Wanted List | 0.34224 |
| clinical impact | 0.473708 |
| raw vegetables | 0.361199 |
| William Schaffner | 0.339102 |
| University expert Dr. | 0.476536 |
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| wide range | 0.349517 |
| raw cashew cheese | 0.482172 |
| Alarming Trend | 0.356237 |
| CDC Expert Commentaries | 0.620772 |
| Dr. Barbara Mahon | 0.717885 |
| enteric disease | 0.398014 |
| cdc expert | 0.7844 |
| nontyphoidal Salmonella | 0.393389 |
| correct diagnosis | 0.339655 |
| repeat offender | 0.348099 |
| Recent Major Outbreaks | 0.730915 |
| regular Medscape commentaries | 0.562318 |
| healthcare professionals | 0.363079 |
| authoritative guidance | 0.354703 |
| Cautionary Tale | 0.338287 |
| CDC Expert Dr. | 0.565982 |
| multistate foodborne outbreaks | 0.954663 |
| Food Outbreaks | 0.55324 |
| food source | 0.352809 |
| Rajal Mody | 0.35575 |
| Foodborne Illness Outbreaks | 0.962812 |
| Deadly Germ | 0.339892 |
| Dr. Christopher Braden | 0.706659 |
| enteric infections | 0.485665 |
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Centers for Disease Control and Prevention |
Html |
en |
Division of Global Migration and Quarantine (DGMQ) - NCEZID - Accomplishments |
2010 Accomplishments, Division of Global Migration and Quarantine |
| public health issues | 0.341879 |
| refugees | 0.396716 |
| globally mobile populations | 0.409344 |
| Disease Control | 0.403862 |
| U.S.-Mexico public health | 0.332046 |
| Technical Instructions | 0.399721 |
| disease surveillance | 0.328984 |
| CDC Health Information | 0.397794 |
| public’s health | 0.329201 |
| World Health Organization | 0.336428 |
| U.S. health care | 0.337577 |
| public health partners | 0.38749 |
| public health emergencies | 0.39376 |
| public health evaluation | 0.340562 |
| communicable disease | 0.432397 |
| public health officials | 0.335198 |
| Dadaab refugee camp | 0.352465 |
| travelers | 0.474854 |
| medical examination | 0.385839 |
| panel physicians | 0.357668 |
| public health events | 0.354338 |
| refugee health | 0.369511 |
| Refugee Health Working | 0.348444 |
| travel health preparedness | 0.3322 |
| public health agencies | 0.343063 |
|
| public health impact | 0.32739 |
| CDC Quarantine Stations | 0.354328 |
| United States | 0.992894 |
| U.S. Centers | 0.358113 |
| public health purposes | 0.337842 |
| communicable diseases | 0.413364 |
| State Public Health | 0.355011 |
| public health responders | 0.334443 |
| public health support | 0.328839 |
| CDC Travel Health | 0.354299 |
| health information systems | 0.330425 |
| travel health | 0.381593 |
| travel health awareness | 0.354056 |
| public health professionals | 0.343272 |
| local health partners | 0.371463 |
| local health departments | 0.588187 |
| public health | 0.840939 |
| Health website | 0.401697 |
| Global Migration | 0.387077 |
| DGMQ communication teams | 0.378066 |
| local public health | 0.354661 |
| international travelers | 0.355231 |
| public health providers | 0.331765 |
| DGMQ | 0.677845 |
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Centers for Disease Control and Prevention |
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Diagnostic Testing | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| submission form | 0.487747 |
| arbovirus activity increases | 0.572565 |
| commercial laboratories | 0.50093 |
| initial results | 0.494435 |
| virus transmission | 0.545479 |
| confirmatory testing | 0.499032 |
| Viral culture | 0.508109 |
| APPROPRIATE STATE HEALTH | 0.558573 |
| Disease Control | 0.50457 |
| shipping | 0.430129 |
| detailed instructions | 0.486772 |
| best type | 0.490744 |
| state health departments | 0.592332 |
| Initial serological testing | 0.572359 |
| CHIK testing | 0.591124 |
| convalescent-phase samples | 0.491499 |
| IgM-capture ELISA | 0.489981 |
| test results | 0.53867 |
| Chikungunya virus infection | 0.733025 |
| patients | 0.432659 |
| Brief Clinical Summary | 0.557898 |
| biosafety level | 0.499654 |
| hard copy | 0.480797 |
| chikungunya viral RNA | 0.675749 |
| on-line CDC specimen | 0.577532 |
|
| field | 0.425311 |
| ARBOVIRUS SEROLOGY | 0.50948 |
| Contact your state | 0.506077 |
| diagnostic specimens | 0.485997 |
| acute-phase samples test | 0.57051 |
| drop-down menu | 0.490623 |
| IgG ELISA | 0.499145 |
| page | 0.42526 |
| Diagnostic testing | 0.518857 |
| virus-specific immunoglobulin | 0.503805 |
| chikungunya virus | 0.915018 |
| serum separator | 0.551725 |
| final results | 0.492243 |
| state health department | 0.836259 |
| specimen receipt | 0.496729 |
| Laboratory diagnosis | 0.495532 |
| acute onset | 0.503942 |
| illness | 0.450812 |
| testing serum | 0.569129 |
| direct submissions | 0.481517 |
| blood | 0.430282 |
| Chikungunya virus antibodies | 0.709201 |
| clean tube | 0.489432 |
| Test Order | 0.488598 |
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Centers for Disease Control and Prevention |
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Notice to Readers: Changes in the Presentation of InfectiousDisease Data in the National Notifiable Diseases SurveillanceSystem - January 2015 |
This issue of MMWR incorporates changes to Table I (Provisional cases of selected infrequently reported notifiable diseases [<1,000 cases reported during the preceding year], United States) and Table II (Provisional cases of selected notifiable diseases [>1,000 cases reported during the preceding year] and selected low frequency diseases, United States). This year, the Table I and Table II modifications add conditions designated or proposed as nationally notifiable by the Council of State and Territorial Epidemiologists (CSTE) and CDC (1–5). In addition, the presentation of viral hemorrhagic fevers data in Table I reflects recent enhancements made to the National Notifiable Diseases Surveillance System (NNDSS) to enable reporting jurisdictions to submit electronic case notifications for specific viral hemorrhagic fevers. |
| United States | 0.524286 |
| U.S. Government Printing | 0.509955 |
| original MMWR paper | 0.508627 |
| electronic case notifications | 0.5359 |
| Human Services | 0.516888 |
| recent enhancements | 0.468883 |
| dengue-like illness | 0.525187 |
| notifiable diseases | 0.638398 |
| notifiable infectious diseases | 0.690643 |
| National Notifiable Diseases | 0.602969 |
| U.S. Department | 0.515085 |
| MMWR HTML versions | 0.510451 |
| MMWR readers | 0.463935 |
| chikungunya virus disease | 0.649931 |
| Paperwork Reduction Act | 0.515769 |
| electronic PDF version | 0.507163 |
| electronic data | 0.471235 |
| Junin hemorrhagic fever | 0.642241 |
| Lassa virus infection | 0.529062 |
| Guanarito hemorrhagic fever | 0.642416 |
| respective CSTE position | 0.514456 |
| low frequency diseases | 0.538959 |
| Table | 0.536662 |
| hemorrhagic fevers data | 0.700073 |
|
| Contact GPO | 0.467625 |
| non-hantavirus pulmonary syndrome | 0.522699 |
| Table II modifications | 0.489263 |
| Lujo virus infection | 0.523797 |
| Ebola hemorrhagic fever | 0.643613 |
| Provisional cases | 0.530992 |
| Marburg fever | 0.491399 |
| Crimean-Congo hemorrhagic fever | 0.647955 |
| incident cases | 0.470324 |
| hantavirus infection | 0.490531 |
| NNDSS website | 0.464279 |
| viral hemorrhagic fevers | 0.973538 |
| low-incidence conditions | 0.469789 |
| Machupo hemorrhagic fever | 0.641717 |
| Sabia-associated hemorrhagic fever | 0.641368 |
| original paper copy | 0.505857 |
| Incidence data | 0.528673 |
| incident case | 0.465428 |
| rubella congenital syndrome | 0.52223 |
| Territorial Epidemiologists | 0.475105 |
| hantavirus infections | 0.480765 |
| national surveillance case | 0.516795 |
| pulmonary syndrome | 0.527692 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Ongoing Cholera Outbreak - Kenya,2014-2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| serotype Inaba | 0.565705 |
| safe water | 0.548719 |
| Laboratory Training Program | 0.671578 |
| ill cholera patients | 0.734111 |
| cholera prevention knowledge | 0.715652 |
| outbreak investigation | 0.58098 |
| appropriate case management | 0.572493 |
| Kenya Ministry | 0.621038 |
| national public health | 0.671771 |
| outbreak | 0.647359 |
| Zoonotic Infectious Diseases | 0.637825 |
| case fatality rates | 0.597622 |
| Enteric Diseases Laboratory | 0.55311 |
| high cholera awareness | 0.710048 |
| health facilities | 0.566433 |
| health extension workers | 0.599502 |
| Kenya National Public | 0.608941 |
| public health education | 0.601093 |
| biotype El Tor | 0.554549 |
| Kenya Field Epidemiology | 0.588853 |
| national case fatality | 0.612027 |
| case fatality rate | 0.775562 |
| cholerae serogroup | 0.604473 |
| public health institute | 0.592137 |
| cholera prevention measures | 0.712672 |
|
| community health extension | 0.708565 |
| acute watery diarrhea | 0.819407 |
| predominant outbreak strain | 0.633244 |
| indistinguishable pulsed-field gel | 0.551077 |
| Health Field Epidemiology | 0.597264 |
| Nairobi County | 0.554751 |
| cholera prevention | 0.72019 |
| cholera case | 0.876153 |
| Kenyatta National Hospital | 0.583318 |
| health care workers | 0.679067 |
| Homa Bay | 0.560558 |
| public health emergency | 0.592295 |
| outbreak response efforts | 0.604278 |
| cholera | 0.947626 |
| current outbreak | 0.555084 |
| inadequate hand washing | 0.54965 |
| Reference laboratory confirmation | 0.559729 |
| Vibrio cholerae serogroup | 0.602413 |
| cholera case definitions | 0.791282 |
| cholera case-patients | 0.653131 |
| cholera outbreaks | 0.63982 |
| County health teams | 0.603174 |
| hygienic sanitation services | 0.552289 |
| severe dehydration | 0.563054 |
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Centers for Disease Control and Prevention |
Html |
en |
Blood Pressure Control - Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| mobile apps | 0.383229 |
| pharmacy claims data | 0.370323 |
| healthy diet | 0.34582 |
| Therapy Management services | 0.371839 |
| high co-pays | 0.379987 |
| national Million Hearts® | 0.375968 |
| entire healthcare team | 0.448589 |
| claims data | 0.37874 |
| e.g. prescribe | 0.395114 |
| blood pressure | 0.989861 |
| pill refills | 0.39803 |
| easy-to-use tools | 0.383953 |
| patients | 0.353214 |
| at-risk patients | 0.342667 |
| Affordable Care Act | 0.376829 |
| patient concerns | 0.382554 |
| pressure treatment protocols | 0.458811 |
| weekly pill boxes | 0.377962 |
| older Americans | 0.344479 |
| effective blood pressure | 0.472358 |
| community health workers | 0.385302 |
| blood pressure logs | 0.46952 |
| chronic disease. http://go.usa.gov/xjfnz | 0.369546 |
| refill prescriptions | 0.346339 |
| kidney disease | 0.347774 |
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| administrative claims data | 0.369251 |
| combination medicines | 0.393089 |
| blood pressure readings | 0.471118 |
| blood pressure monitors | 0.469284 |
| Address financial barriers | 0.449812 |
| heart disease | 0.38513 |
| blood pressure monitor | 0.411913 |
| prescribe 90-day refills | 0.487177 |
| home blood pressure | 0.469832 |
| n’t notice | 0.34343 |
| public health | 0.343725 |
| new prescriptions | 0.347604 |
| prescribe generic medicines | 0.476162 |
| clinical practice. http://go.usa.gov/xjf59 | 0.453647 |
| health care systems | 0.45318 |
| medical practices | 0.34488 |
| Implement effective blood | 0.461765 |
| unwanted side effects | 0.34224 |
| prescription drug insurance | 0.389742 |
| blood pressure medicine | 0.690149 |
| Medicare Star Ratings | 0.380864 |
| blood pressure treatment | 0.603317 |
| people | 0.342767 |
| high blood pressure | 0.635806 |
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