| 1173 |
Centers for Disease Control and Prevention |
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Progress Toward Polio Eradication - Worldwide,2013-2014 |
Edna K. Moturi, MBChB1, Kimberly A. Porter, PhD2, Steven G. |
| global polio eradication | 0.535185 |
| supplementary immunization activities | 0.426768 |
| international spread | 0.392203 |
| certify polio eradication | 0.407187 |
| Western Pacific Region | 0.333305 |
| additional dose SIAs | 0.361121 |
| wpv cases | 0.924216 |
| Administered Tribal Areas | 0.394097 |
| WPV1 cases | 0.623361 |
| previously polio-free countries | 0.584642 |
| World Health Organization | 0.443014 |
| outbreak response | 0.383301 |
| Routine Vaccination Coverage | 0.348656 |
| Rudolf H. Tangermann | 0.331793 |
| WPV importation | 0.421882 |
| countries | 0.689295 |
| Federally Administered Tribal | 0.388968 |
| international exportation | 0.333277 |
| 3Polio Eradication Department | 0.330414 |
| address health worker | 0.333932 |
| International Health Regulations | 0.332098 |
| Indigenous WPV transmission | 0.361048 |
| Afghanistan | 0.411996 |
| polio eradication | 0.794557 |
|
| polio vaccine | 0.35023 |
| cVDPV cases | 0.330558 |
| wild poliovirus | 0.333765 |
| Equatorial Guinea | 0.44281 |
| Ousmane M. Diop | 0.334994 |
| WPV3 cases | 0.370552 |
| Current WPV transmission | 0.364016 |
| polio vaccination | 0.353845 |
| Middle East | 0.330802 |
| surveillance quality | 0.378514 |
| Pakistan | 0.434997 |
| Khyber Pakhtunkhwa province | 0.415734 |
| new outbreaks | 0.343936 |
| Nigeria | 0.422659 |
| currently polio-affected countries | 0.373207 |
| public health | 0.335615 |
| polio workers | 0.333231 |
| Edna K. Moturi | 0.442359 |
| WPV type | 0.401633 |
| Polio cases | 0.470755 |
| World Health Assembly | 0.43621 |
| recent WPV importation | 0.372018 |
| Polio Outbreaks | 0.358011 |
| Global Polio Laboratory | 0.40955 |
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| 4540 |
Centers for Disease Control and Prevention |
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Respiratory Hygiene/Cough Etiquette in Healthcare Settings |
To prevent the transmission of all respiratory infections in healthcare settings, including influenza, the following infection control measures should be implemented at the first point of contact with a potentially infected person - CDC |
| potentially infected person | 0.609231 |
| recommendation | 0.417667 |
| recommendations | 0.427674 |
| appropriate languages | 0.504186 |
| respirators | 0.422238 |
| transmission | 0.43455 |
| respiratory secretions | 0.738211 |
| ear loops | 0.497779 |
| entrance | 0.418284 |
| Healthcare Infection Control | 0.63583 |
| procedure masks | 0.513222 |
| patients | 0.434255 |
| respiratory infections | 0.657491 |
| friends | 0.417336 |
| symptoms | 0.463743 |
| persons | 0.464321 |
| chair availability | 0.494292 |
| absenteeism | 0.427276 |
| Respiratory Hygiene/Cough Etiquette | 0.888303 |
| surgical masks | 0.510946 |
| infectious agent | 0.493217 |
| healthcare personnel | 0.584507 |
| influenza | 0.420499 |
| Post visual alerts | 0.592578 |
| Standard Precautions | 0.65867 |
|
| respiratory illness | 0.620795 |
| point | 0.418873 |
| procedure mask | 0.493816 |
| close contact | 0.488772 |
| infection control practices | 0.815163 |
| Infectious Agents | 0.49656 |
| outpatient clinics | 0.507933 |
| respiratory infection activity | 0.772303 |
| respiratory infection | 0.96334 |
| Practices Advisory Committee | 0.569348 |
| Isolation Precautions | 0.556528 |
| emergency departments | 0.501764 |
| Healthcare facilities | 0.508031 |
| outpatient facilities | 0.507945 |
| Draft Guideline | 0.4965 |
| infection control measures | 0.684508 |
| common waiting areas | 0.580052 |
| component | 0.418624 |
| following measures | 0.50416 |
| physician offices | 0.505373 |
| healthcare settings | 0.600381 |
| Droplet Precautions | 0.630736 |
| family | 0.417346 |
| e.g. | 0.44748 |
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| 4638 |
Centers for Disease Control and Prevention |
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CDC Features - Data & Statistics | CDC Features |
Data & Statistics |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
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| 7554 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Institute of Medicine™s New Report on Living Well With Chronic Illness - CDC |
In the United States, chronic illnesses such as heart disease, cancer, diabetes, stroke, and chronic lung disease account for 70% of deaths and 75% of health care costs and have received attention in the professional and lay literature. |
| important chronic illnesses | 0.716071 |
| health care interventions | 0.699564 |
| Public Health Fund | 0.667414 |
| state health departments | 0.659593 |
| Health Promotion Research | 0.685753 |
| community-based public health | 0.713684 |
| health insurance coverage | 0.664484 |
| chronic illness programs | 0.762045 |
| community-based health service | 0.683021 |
| chronically ill people | 0.668081 |
| preventive interventions | 0.678519 |
| health care costs | 0.692743 |
| IOM report highlights | 0.67552 |
| Affordable Care Act | 0.657259 |
| community-based interventions | 0.662963 |
| Washington Health Promotion | 0.659794 |
| lifestyle interventions | 0.680131 |
| chronic illnesses | 0.841178 |
| health care settings | 0.682987 |
| illness prevention programs | 0.715171 |
| health care organizations | 0.707952 |
| community-based care | 0.721165 |
| chronic pain | 0.691629 |
| optimal health | 0.652186 |
| illness consequences | 0.667525 |
|
| chronic lung disease | 0.714743 |
| community-based service providers | 0.666106 |
| IOM report | 0.799049 |
| community-based settings | 0.755149 |
| governmental public health | 0.697205 |
| major health care | 0.677209 |
| public health needs | 0.668964 |
| local health departments | 0.659348 |
| public health | 0.869721 |
| health care | 0.833907 |
| chronically ill need | 0.661421 |
| public health organizations | 0.859537 |
| chronic illness self-management | 0.733866 |
| public health programs | 0.70962 |
| electronic health records | 0.667851 |
| physical activity | 0.71022 |
| Chronic Disease Prevention | 0.696318 |
| evidence-based preventive interventions | 0.665391 |
| chronic illness | 0.974808 |
| chronic illness occurrence | 0.738246 |
| service providers | 0.67028 |
| chronic illness prevention | 0.779019 |
| community-based care methods | 0.684516 |
| Promotion Research Center | 0.671892 |
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| 10032 |
Centers for Disease Control and Prevention |
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Flu Prevention Partners Success Stories: Jewish Healthcare Center, Massachusetts |
Partnership success stories, Jewish Healthcare Center, Massachusetts - CDC |
| restaurant certificates | 0.31416 |
| collaborative effort | 0.294333 |
| Infection Control | 0.297168 |
| Print materials | 0.302551 |
| department offering flu | 0.511631 |
| flu clinics | 0.422204 |
| new patient safety | 0.4246 |
| Education | 0.215751 |
| department heads | 0.298839 |
| vaccination status | 0.419547 |
| shifts | 0.223023 |
| R.N. | 0.215789 |
| flu vaccination | 0.952538 |
| Accreditation | 0.220292 |
| night shift | 0.306356 |
| area | 0.21588 |
| town | 0.216984 |
| Joint Commission | 0.319165 |
| visual recognition | 0.301725 |
| contact Carmen Capriole | 0.403089 |
| gift certificates | 0.314289 |
| steps | 0.216155 |
| resident flu vaccination | 0.720782 |
| standards | 0.219094 |
| flu vaccination rates | 0.795097 |
|
| Hospitals | 0.216038 |
| time clock | 0.303964 |
| Worcester | 0.219183 |
| Massachusetts Department | 0.322908 |
| Quality Assurance | 0.296949 |
| employees | 0.24801 |
| Medical Director | 0.296966 |
| Public Health | 0.32035 |
| monthly meeting | 0.295693 |
| JHC | 0.234696 |
| Accountable Care Organizations | 0.42729 |
| resident care | 0.316615 |
| Jewish Healthcare Center | 0.42151 |
| incentives | 0.219996 |
| season’s rates | 0.311455 |
| mask | 0.21802 |
| M.S. | 0.215802 |
| Employee Health | 0.29787 |
| 2013-2014 season | 0.318981 |
| vaccination stickers | 0.421644 |
| staff | 0.233997 |
| Human Resources | 0.297234 |
| work place | 0.302315 |
| employee flu vaccination | 0.693846 |
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Centers for Disease Control and Prevention |
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Epidemic Intelligence Service (EIS) |
null |
| EIS Program | 0.457737 |
| public health epidemiology | 0.468351 |
| NIOSH experience | 0.249264 |
| NIOSH assignees | 0.248547 |
| Health professionals | 0.246808 |
| occupational health | 0.212363 |
| Denver Federal Center | 0.215622 |
| EIS activities | 0.395022 |
| non-occupational disease outbreaks | 0.236675 |
| Disease Control | 0.293178 |
| annual EIS Conference | 0.452035 |
| NIOSH EIS Officers | 0.769705 |
| EIS Officers | 0.905221 |
|
| CDC EIS Program | 0.455095 |
| occupational public health | 0.290302 |
| EIS assignment | 0.432196 |
| Epidemic Intelligence Service | 0.242971 |
| community medicine activities | 0.232993 |
| occupational safety | 0.248919 |
| NIOSH facility | 0.24704 |
| three-week introductory course | 0.223339 |
| post-graduate training program | 0.247525 |
| Sally E. Brown | 0.216083 |
| EIS Officers work | 0.51409 |
| U.S. permanent residents | 0.221685 |
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Centers for Disease Control and Prevention |
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null |
Continue your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Act Against AIDS |
Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities |
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| 13194 |
Centers for Disease Control and Prevention |
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Vital Signs: Leading Causes of Death, Prevalence of Diseasesand Risk Factors, and Use of Health Services Among Hispanics in theUnited States - 2009-2013 |
Kenneth Dominguez1, Ana Penman-Aguilar2, Man-Huei Chang1, Ramal Moonesinghe2, Ted Castellanos3, Alfonso Rodriguez-Lainz4, Richard Schieber5 (Author affiliations at end of text). |
| data | 0.501387 |
| health insurance | 0.571641 |
| higher prevalence | 0.521121 |
| Hispanic origin subgroup | 0.566081 |
| Puerto Ricans | 0.577821 |
| age-adjusted death rates | 0.498866 |
| Hispanic health | 0.524878 |
| Hispanic origin subgroups | 0.788396 |
| health insurance status | 0.50496 |
| whites | 0.593738 |
| health outcomes | 0.484687 |
| foreign-born Hispanics | 0.649509 |
| chronic liver disease | 0.599425 |
| lower death rates | 0.536145 |
| U.S. Hispanics | 0.555772 |
| hypertensive Hispanic women | 0.487577 |
| risk factors | 0.584434 |
| Hispanic origin | 0.979856 |
| U.S.-born Hispanics | 0.628864 |
| Hispanic origin groups | 0.55997 |
| health surveillance data | 0.483167 |
| Hispanic origin subpopulations | 0.492729 |
| higher death rates | 0.599627 |
| death rates | 0.757471 |
| chronic liver disease/cirrhosis | 0.553354 |
|
| United States | 0.649754 |
| hypertensive renal disease | 0.527554 |
| prevalence | 0.543958 |
| hypertensive Hispanic men | 0.485839 |
| data collection strategy | 0.483566 |
| self-reported disease prevalence | 0.51509 |
| heart disease | 0.599801 |
| health services | 0.501732 |
| Hispanic all-cause mortality | 0.489568 |
| self-reported smoking prevalences | 0.510158 |
| multiple Hispanic origin | 0.494815 |
| non-Hispanic whites | 0.48287 |
| health care | 0.572208 |
| public health | 0.517276 |
| national health estimates | 0.510844 |
| instances U.S.-born Hispanics | 0.554766 |
| Hispanic leading causes | 0.499741 |
| Hispanic life expectancy | 0.486775 |
| health | 0.64842 |
| Hispanic paradox | 0.480051 |
| higher prevalences | 0.481744 |
| culturally appropriate health | 0.480128 |
| systematic data collection | 0.481864 |
| analyzed health factors | 0.479359 |
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Centers for Disease Control and Prevention |
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2016 Yellow Book Available | CDC Features |
Do you have the latest travel health recommendations? Use the new CDC Health Information for International Travel 2016 (the Yellow Book) for your pre-travel health questions. |
| Health Yellow Book | 0.627509 |
| pre-travel health questions | 0.579567 |
| CDC Yellow Book | 0.720209 |
| travel health risks | 0.580766 |
| CDC Foundation | 0.519172 |
| motion sickness | 0.474485 |
| pregnant travelers | 0.539703 |
| University Press | 0.534628 |
| upcoming trips | 0.480855 |
| popular tourist destinations | 0.5305 |
| Easy-to-use maps | 0.471193 |
| immune systems | 0.471815 |
| yellow fever vaccine | 0.604074 |
| health care providers | 0.571807 |
| country-specific malaria risk | 0.533659 |
| CDC Health Information | 0.641349 |
| special travel health | 0.581171 |
| special types | 0.472832 |
| chronic medical conditions | 0.53044 |
| vaccine requirements | 0.483843 |
| Health insights | 0.490637 |
| wilderness travel | 0.48898 |
| major bookstores | 0.468602 |
| specific needs | 0.471705 |
| travel industry | 0.49666 |
|
| Immunization Information | 0.475531 |
| Yellow Book | 0.941438 |
| in-depth look | 0.473327 |
| short trips | 0.475522 |
| latest health recommendations | 0.577976 |
| international corporations | 0.479096 |
| promo code AMPROMD9 | 0.525711 |
| altitude illness | 0.470885 |
| cholera vaccine recommendations | 0.548286 |
| major online booksellers | 0.525674 |
| specific information | 0.476983 |
| CDC Travelers | 0.636565 |
| Oxford University Press | 0.523748 |
| recommendation maps | 0.471364 |
| small pamphlet | 0.468428 |
| mobile app | 0.539671 |
| excellent resource | 0.473373 |
| international travel | 0.594896 |
| Health website | 0.491202 |
| CDC partners | 0.519268 |
| global diseases | 0.471452 |
| new sections | 0.53625 |
| global disease maps | 0.529666 |
| volunteer organizations | 0.476308 |
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Centers for Disease Control and Prevention |
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A Content Analysis of Vaping Advertisements on Twitter,November 2014 |
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. |
| sample tweets | 0.638149 |
| Twitter account | 0.536256 |
| demographic characteristics | 0.642515 |
| electronic cigarettes | 0.589405 |
| various novel vape | 0.557188 |
| vaping-related advertisements | 0.618445 |
| tweets | 0.957187 |
| inferred demographic characteristics | 0.53564 |
| vaping-related products | 0.625238 |
| Twitter advertisements | 0.550284 |
| marijuana vape pen | 0.575546 |
| vape pen | 0.579743 |
| research team members | 0.583731 |
| vaping-related key words | 0.5447 |
| social media site | 0.533875 |
| Twitter handles | 0.584997 |
| English-language tweets | 0.673861 |
| nicotine-containing vaping devices | 0.531121 |
| Twitter benchmark values | 0.569895 |
| advertisement tweets | 0.836858 |
| vaping-related advertising | 0.540095 |
| median average value | 0.535438 |
| Twitter handle profile | 0.576454 |
| smoking cessation | 0.538332 |
| popular Twitter | 0.577747 |
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| randomly selected tweets | 0.64872 |
| Twitter users | 0.642796 |
| Twitter data | 0.601748 |
| electronic cigarette | 0.546657 |
| Twitter | 0.828037 |
| young people | 0.628387 |
| Twitter handle audiences | 0.566102 |
| novel vape products | 0.577409 |
| public Twitter data | 0.585974 |
| vaping-related tweets | 0.796569 |
| Twitter median average | 0.750247 |
| smoking | 0.57026 |
| Twitter accounts | 0.578115 |
| price discounts | 0.573279 |
| social media | 0.749744 |
| vape pens | 0.56272 |
| advertising tweets | 0.663023 |
| Twitter median averages | 0.584053 |
| vape shop | 0.568014 |
| Tob Control | 0.565942 |
| Twitter bio | 0.548346 |
| vape-related Twitter | 0.545653 |
| Hookah-related Twitter chatter | 0.552413 |
| social media analytics | 0.531704 |
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