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Get Ready...Set...Quit! | CDC Features |
The American Cancer Society Great American Smokeout is the perfect starting point. |
| high rates | 0.275052 |
| lung disease | 0.273397 |
| immediate damage | 0.271192 |
| important step | 0.364045 |
| important people | 0.275737 |
| American Cancer Society | 0.597781 |
| smoking cigarettes | 0.343568 |
| moral support | 0.275729 |
| healthy ways | 0.276915 |
| Nicotine patches | 0.271959 |
| family members | 0.269873 |
| daily phone | 0.278842 |
| mental distress* disorders | 0.335315 |
| successful goal | 0.283861 |
| quit plan | 0.442115 |
| national tobacco education | 0.326897 |
| text message | 0.278772 |
| new outlook | 0.270897 |
| quit date | 0.51835 |
| smoking causes | 0.301348 |
| Rebecca’s story | 0.291007 |
| past symptoms | 0.280442 |
| good plan | 0.279492 |
| Great American Smokeout | 0.925554 |
| cigarettes | 0.36792 |
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| healthier life | 0.348992 |
| Cancer Society Great | 0.601353 |
| heart attack | 0.272801 |
| United States | 0.27456 |
| Rebecca | 0.311706 |
| adults | 0.245767 |
| smokers | 0.274708 |
| perfect starting point | 0.356343 |
| early death | 0.275358 |
| Society Great American | 0.591704 |
| social media conversations | 0.348001 |
| used cigarettes | 0.306692 |
| quitline coach | 0.274309 |
| smoking | 0.36457 |
| annual Great American | 0.371175 |
| Rebecca’s Tip | 0.290717 |
| n’t end | 0.270566 |
| quit medication | 0.428914 |
| quit options | 0.431654 |
| increased risks | 0.271424 |
| Old cigarette odors | 0.339868 |
| free resources | 0.27597 |
| Psychological distress | 0.269275 |
| depression | 0.238051 |
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Health Literacy for Public Health Professionals - Get Training Continuing Education |
Training in health literacy is essential for anyone working in health information and services. Whether you are new to health literacy, need a refresher, or want to get your entire staff trained, these courses are a good place to start. |
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Centers for Disease Control and Prevention |
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Kidney Disease - Health Communication |
Kidney Disease - Gateway to Health Communication - CDC |
| country | 0.309501 |
| Blood pressure control | 0.393049 |
| urine | 0.310586 |
| health care provider | 0.389758 |
| dietary restrictions | 0.351745 |
| number | 0.319819 |
| African-Americans | 0.31046 |
| blood pressure drugs | 0.39191 |
| ethnic populations | 0.350341 |
| inhibitor class | 0.352065 |
| kidney damage | 0.48989 |
| injury | 0.310659 |
| angiotensin-converting enzyme | 0.350636 |
| uncontrolled diabetes | 0.360678 |
| blood pressure | 0.503003 |
| effective treatments | 0.349857 |
| kidney function | 0.513419 |
| severe kidney failure | 0.576699 |
| greatest risk | 0.351206 |
| American Indians | 0.350496 |
| daily medication | 0.348635 |
| low protein diets | 0.389157 |
| kidney failure | 0.723344 |
| kidney disease | 0.95778 |
| progression | 0.321565 |
|
| kidneys | 0.383955 |
| significant portion | 0.352601 |
| life | 0.316163 |
| result | 0.309626 |
| Kidney transplants | 0.494874 |
| small fraction receive | 0.396564 |
| poisoning | 0.310472 |
| dialysis access areas | 0.407983 |
| dialysis patients | 0.365035 |
| bone disease | 0.357323 |
| dietary restriction | 0.350941 |
| cost | 0.309602 |
| kidney transplant | 0.615451 |
| blood test | 0.355815 |
| major loss | 0.355893 |
| people | 0.408598 |
| better quality | 0.350383 |
| Pacific Islanders | 0.352615 |
| proper treatment | 0.351978 |
| high blood pressure | 0.488388 |
| common causes | 0.36025 |
| family history | 0.352289 |
| blood glucose control | 0.394891 |
| severe illness | 0.359269 |
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Centers for Disease Control and Prevention |
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Avian Influenza A Virus Infections in Humans |
Avian Influenza A Virus Infections in Humans - CDC |
| avian influenza | 0.966103 |
| CDC | 0.433839 |
| ill person | 0.428434 |
| United States | 0.466509 |
| avian influenza viruses | 0.725047 |
| influenza antiviral drugs | 0.531082 |
| critically ill patients | 0.444618 |
| infected birds | 0.45398 |
| influenza A viruses | 0.710009 |
| HPAIÂ Asian lineage | 0.446871 |
| Pathogenic Avian Influenza | 0.571209 |
| systems. Asian lineage | 0.446896 |
| novel influenza viruses | 0.575214 |
| influenza virus infection | 0.559277 |
| similar H5N1 viruses | 0.499861 |
| infected poultry | 0.428409 |
| public health professionals | 0.483651 |
| candidate vaccine virus | 0.491973 |
| bird flu viruses | 0.513368 |
| lower respiratory tract | 0.447666 |
| influenza A virus | 0.6127 |
| virus infections | 0.45138 |
| health care professionals | 0.444335 |
| antiviral resistance | 0.452105 |
|
| acute respiratory distress | 0.450168 |
| available avian influenza | 0.575536 |
| seasonal influenza | 0.521111 |
| Seasonal influenza vaccination | 0.515593 |
| candidate vaccine viruses | 0.498909 |
| avian influenza virus | 0.660983 |
| Rare human infections | 0.460194 |
| sick person | 0.427661 |
| people | 0.433822 |
| influenza antiviral chemoprophylaxis | 0.530254 |
| human illness worldwide | 0.453242 |
| human infections | 0.506451 |
| avian viruses | 0.551472 |
| United States government | 0.441357 |
| avian influenza guidance | 0.575834 |
| severe respiratory illness | 0.454671 |
| person | 0.437703 |
| respiratory tract | 0.451938 |
| unprotected contact | 0.429121 |
| respiratory failure | 0.428405 |
| Asian avian influenza | 0.566173 |
| antiviral medications | 0.436312 |
| rare cases | 0.428061 |
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| 8941 |
Centers for Disease Control and Prevention |
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Routine HIV Screening During Intake Medical Evaluation at aCounty Jail - Fulton County, Georgia, 2011-2012 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| community services | 0.363492 |
| confirmatory HIV testing | 0.466867 |
| newly diagnosed cases | 0.306199 |
| screening project period | 0.293987 |
| HIV status | 0.378391 |
| community-based HIV testing | 0.435861 |
| medical intake process | 0.364243 |
| routine rapid HIV | 0.437089 |
| jail-based HIV testing | 0.426998 |
| HIV rapid screening | 0.473167 |
| FCJ medical chart | 0.304274 |
| HIV test data | 0.431713 |
| FCJ medical intake | 0.312122 |
| rapid HIV testing | 0.500818 |
| HIV screening demonstration | 0.417313 |
| new HIV cases | 0.439795 |
| conventional HIV testing | 0.447622 |
| HIV screening project | 0.586888 |
| human immunodeficiency virus | 0.306858 |
| medical evaluation process | 0.387999 |
| HIV infection facilitates | 0.42872 |
| demonstration project | 0.358386 |
| HIV therapy | 0.382589 |
| HIV tests | 0.42266 |
|
| previous HIV diagnosis | 0.545318 |
| negative HIV test | 0.450303 |
| Maulsby C. HIV | 0.403317 |
| newly diagnosed HIV | 0.712999 |
| newly diagnosed case | 0.308749 |
| Rhode Island | 0.305445 |
| HIV test result | 0.449377 |
| Public Health HIV | 0.43791 |
| black men | 0.317055 |
| HIV test | 0.527419 |
| FCJ HIV | 0.414811 |
| newly diagnosed persons | 0.414613 |
| routine HIV screening | 0.449072 |
| Fulton County Jail | 0.3292 |
| intake medical evaluation | 0.467007 |
| HIV care | 0.459471 |
| HIV screening | 0.715365 |
| HIV | 0.900744 |
| opt-out HIV screening | 0.539049 |
| metropolitan statistical area | 0.291994 |
| HIV testing | 0.811289 |
| opt-out HIV testing | 0.431712 |
| previous HIV test | 0.432622 |
| HIV testing program | 0.426172 |
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Centers for Disease Control and Prevention |
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Medición de adiposidad y factores de riesgo de enfermedad cardiovascular, Encuesta de Salud y Nutrición de la Ciudad de Nueva York, 2004. |
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| Nueva York | 0.936604 |
| Estados Unidos | 0.566276 |
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| NYC HANES | 0.789428 |
| múltiples indicadores | 0.592551 |
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Centers for Disease Control and Prevention |
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CDC Increasing Supply of Ebola-specific Personal ProtectiveEquipment for U.S. Hospitals |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| regular patient care | 0.267415 |
| hospitals | 0.269796 |
| short-term PPE needs | 0.399605 |
| event certain products | 0.259065 |
| PPE | 0.515581 |
| CDC guidance | 0.278712 |
| new orders | 0.221073 |
| request PPE supplies | 0.386083 |
| Strategic National Stockpile | 0.953886 |
| SNS facilities | 0.255889 |
| hospital-based clinical team | 0.282052 |
| U.S. hospitals | 0.220359 |
| Ebola cases | 0.283673 |
| SNS personnel | 0.255937 |
| CDC PPE guidance | 0.469315 |
|
| state health department | 0.257092 |
| CDC personnel | 0.352569 |
| U.S. hospital | 0.205313 |
| personal protective equipment | 0.799386 |
| CDC’s guidance | 0.271125 |
| N95 respirators | 0.202079 |
| PPE kit | 0.337476 |
| additional PPE supplies | 0.402335 |
| CDC’s Division | 0.26971 |
| Ebola patient | 0.799511 |
| health care facilities | 0.25595 |
| powered-air purifying respirator | 0.275729 |
| protective equipment kits | 0.305512 |
| state public health | 0.258603 |
| Ebola patients | 0.374368 |
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Centers for Disease Control and Prevention |
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Concussion Videos - T.J. Lavin's PSA (BMX) |
Former BMX Rider T.J. Lavin took a hard hit in competition and sustained a traumatic brain injury. He talks openly about his injury, and his desire to see more awareness for traumatic brain 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=059c958113724ec89e0e76c7113ee31d20130219153253468 |
| T.J. Lavin Talks | 0.948561 |
| Helmet | 0.350697 |
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Centers for Disease Control and Prevention |
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Reduced Incidence of Chikungunya Virus Infection inCommunities with Ongoing Aedes Aegypti Mosquito Trap InterventionStudies - Salinas and Guayama, Puerto Rico, November 2015-February2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| personal mosquito bite | 0.610227 |
| virus transmission | 0.572826 |
| Human Services | 0.572284 |
| household characteristics | 0.551804 |
| U.S. Department | 0.572321 |
| female participants | 0.555822 |
| tenfold lower mosquito | 0.609928 |
| female Aedes | 0.569111 |
| electronic PDF version | 0.575967 |
| Zoonotic Infectious Diseases | 0.575309 |
| nonintervention communities | 0.710983 |
| field personnel | 0.587368 |
| field personnel visits | 0.581559 |
| previously unexposed population | 0.581827 |
| private sector companies | 0.573778 |
| Aedes mosquitoes | 0.589112 |
| chikungunya virus incidence | 0.795947 |
| field trial | 0.627973 |
| Ae. aegypti mosquitoes | 0.716623 |
| population densities | 0.614425 |
| eligible household members | 0.659334 |
| Aedes aegypti | 0.588475 |
| adult female Ae. | 0.581386 |
| autocidal gravid ovitrap | 0.666524 |
|
| Puerto Rico | 0.645122 |
| household members | 0.669984 |
| IgG antibody | 0.598523 |
| original MMWR paper | 0.577981 |
| chikungunya virus | 0.921503 |
| control traps | 0.623847 |
| southern Puerto Rico | 0.589543 |
| Stratified random sampling | 0.579184 |
| conventional vector control | 0.594393 |
| previous chikungunya virus | 0.727409 |
| surveillance traps | 0.624605 |
| CDC Institutional Review | 0.601355 |
| day.* Infectious | 0.550392 |
| chikungunya virus IgG | 0.740204 |
| chikungunya virus infection | 0.795378 |
| selected households | 0.557703 |
| intervention areas | 0.61121 |
| laboratory-positive chikungunya case | 0.801123 |
| lower mosquito densities | 0.700215 |
| average densities | 0.568952 |
| aegypti female mosquitoes | 0.646361 |
| ongoing field trial | 0.592243 |
| enzyme-linked immunosorbent assay | 0.580772 |
| intervention communities | 0.714354 |
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Centers for Disease Control and Prevention |
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Contraception to Prevent Unintended Pregnancy during the Zika Virus Outbreak |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Virus | 0.248852 |
| OutbreakError processing SSI | 0.639616 |
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