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A 13-Minute DVD Increases HPV Vaccination | CDC Features |
August is National Immunization Awareness Month. Learn more about a 13-minute DVD that effectively promotes and increases the completion of the 3-dose HPV vaccine series that prevents most types of cervical cancer. |
| young women | 0.623021 |
| high rates | 0.46081 |
| C. HPV knowledge | 0.590294 |
| Kentucky PRC | 0.624473 |
| Crosby RA | 0.497017 |
| health care providers | 0.75366 |
| rural participants | 0.468063 |
| Public Health Services | 0.503696 |
| public health partners | 0.502389 |
| National Coordinating Center | 0.49112 |
| cervical cancers | 0.479004 |
| low HPV vaccination | 0.671369 |
| cervical cancer | 0.666666 |
| vaccine series completion | 0.516382 |
| rural young women | 0.536443 |
| Kentucky PRC website | 0.517769 |
| Pub Health Nurs. | 0.494597 |
| Kentucky Prevention Research | 0.522599 |
| human papillomavirus | 0.46024 |
| rural health care | 0.524055 |
| lower rates | 0.468673 |
| higher rates | 0.467566 |
| cancer-related disparities | 0.464106 |
| lower vaccination rates | 0.543497 |
| HPV vaccination | 0.911017 |
|
| HPV vaccine uptake | 0.617614 |
| Prev Chronic Dis. | 0.581909 |
| young adult women | 0.514022 |
| Vanderpool RC | 0.547079 |
| HPV vaccine | 0.767523 |
| genital warts | 0.558766 |
| HPV vaccination rates | 0.84326 |
| rural clinic | 0.46588 |
| 1-2-3 Pap | 0.560088 |
| rural community college | 0.512136 |
| Research Centers Program | 0.495202 |
| contact Robin Vanderpool | 0.51154 |
| rural Appalachian Kentucky | 0.543299 |
| Appalachian Kentucky | 0.594345 |
| tailored 13-minute DVD | 0.509192 |
| local health departments | 0.504261 |
| free HPV vaccination | 0.619298 |
| public health | 0.531649 |
| Appalachian women | 0.474533 |
| Head KJ | 0.496522 |
| HPV vaccine series | 0.70568 |
| rural communities | 0.464208 |
| commonly reported reasons | 0.494543 |
| region-specific educational campaigns | 0.496905 |
|
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Preventing Chronic Disease | Association Between Contraceptive Use and Gestational Diabetes: Missouri Pregnancy Risk Assessment Monitoring System, 2007"2008 - CDC |
The efficacy and safety of contraceptives have been questioned for decades; however, whether a relationship exists between hormonal contraceptives and gestational diabetes (GDM) is undetermined. The aim of this study was to investigate whether maternal risk for GDM was influenced by type of contraceptive method used before pregnancy. |
| recent pregnancy | 0.57313 |
| nonhormonal contraceptive methods | 0.615937 |
| Senior Services | 0.583099 |
| prenatal maternal morbidities | 0.57395 |
| higher odds | 0.637186 |
| GDM merits | 0.651056 |
| type | 0.573119 |
| pregnancy weight gain | 0.573404 |
| high blood glucose | 0.659026 |
| hormonal contraception | 0.674977 |
| contraceptive patches | 0.582885 |
| GDM | 0.947515 |
| birth control methods | 0.656315 |
| GDM given exposure | 0.710672 |
| Pregnancy Risk Assessment | 0.646688 |
| hormonal methods | 0.750869 |
| gestational diabetes | 0.622267 |
| predictor variables | 0.578953 |
| marital status | 0.582859 |
| PRAMS survey | 0.579437 |
| PRAMS C-PONDER query | 0.592454 |
| increased risk | 0.59025 |
| intermediate prenatal care | 0.574312 |
| barrier methods | 0.688605 |
|
| potential risk factor | 0.617709 |
| hormonal forms | 0.587231 |
| risk factors | 0.582386 |
| hormonal contraceptives | 0.622 |
| contraceptive method | 0.708164 |
| pregnancy | 0.738359 |
| Missouri Pregnancy Risk | 0.649751 |
| PRAMS | 0.669807 |
| Missouri PRAMS respondents | 0.606865 |
| contraception | 0.728651 |
| prenatal care | 0.816617 |
| Missouri Department | 0.584197 |
| Medicaid status | 0.583343 |
| birth control | 0.727262 |
| Missouri state PRAMS | 0.595623 |
| GDM prevalence | 0.662481 |
| weighted response rate | 0.612937 |
| hormonal birth control | 0.611006 |
| adequate prenatal care | 0.690055 |
| hormonal contraceptive methods | 0.707901 |
| prenatal care services | 0.574041 |
| Risk Assessment Monitoring | 0.632698 |
| fertility awareness | 0.583846 |
|
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Centers for Disease Control and Prevention |
Html |
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CDC's Yellow Book provides useful tips on healthy international travel - Press Release: May 9, 2011 |
Updated CDC Travel Health Book Released |
| Nile River cruises | 0.651543 |
| New itineraries | 0.570331 |
| digitally downloadable book | 0.64758 |
| hajj pilgrimage | 0.6923 |
| Health Branch | 0.591129 |
| travel health preparations | 0.72152 |
| southern Florida | 0.536928 |
| native countries | 0.529799 |
| new edition | 0.553789 |
| new information | 0.54927 |
| CDC Health Information | 0.852854 |
| travel health threats | 0.714409 |
| international disease outbreak | 0.672506 |
| new popular travel | 0.766089 |
| cruise ship travel | 0.670481 |
| lets travelers search | 0.683745 |
| Internet book sellers | 0.64833 |
| particular knowledge | 0.540147 |
| jet lag | 0.529154 |
| Yellow Book | 0.935049 |
| World Cup | 0.533233 |
| popular international destination | 0.692701 |
| South Africa | 0.541085 |
| HUMAN SERVICES | 0.529359 |
| yellow fever | 0.579817 |
|
| safe trip | 0.544048 |
| planning activities | 0.546529 |
| mosquito-borne disease | 0.548496 |
| new features | 0.56368 |
| Saudi Arabia | 0.53913 |
| travel health | 0.864492 |
| U.S. DEPARTMENT | 0.529494 |
| Oxford University Press | 0.636731 |
| military deployments | 0.56458 |
| international adoptions | 0.546495 |
| previous Yellow Book | 0.703803 |
| travel health experts | 0.741511 |
| international travel | 0.689773 |
| Health website | 0.565477 |
| certain parts | 0.529811 |
| definitive health guide | 0.742494 |
| new sections | 0.583024 |
| Popular features | 0.541208 |
| international travelers | 0.700914 |
| edition Yellow Book | 0.780409 |
| travel health recommendations | 0.773508 |
| health risks | 0.578171 |
| popular destinations | 0.544052 |
| Dr. Gary Brunette | 0.68383 |
|
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Centers for Disease Control and Prevention |
Html |
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Propylene imine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 7260 |
Centers for Disease Control and Prevention |
Html |
en |
Public Health Surveillance Data: Legal, Policy, Ethical,Regulatory, and Practical Issues |
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. |
| restricted data files | 0.313178 |
| Certain data systems | 0.332527 |
| data | 0.914747 |
| data stewards | 0.37274 |
| federal data systems | 0.323867 |
| data collection programs | 0.332644 |
| NCHS Research Data | 0.312325 |
| detailed NVDRS data | 0.302331 |
| sensitive surveillance data | 0.350222 |
| public health community | 0.312303 |
| data collection processes | 0.320547 |
| health surveillance interventions | 0.307892 |
| public health surveillance | 0.910281 |
| data sets | 0.397032 |
| Security Disability data | 0.329996 |
| state data owners | 0.31161 |
| restricted data sets | 0.311723 |
| confidential data | 0.305184 |
| surveillance programs | 0.413696 |
| data sharing methods | 0.326323 |
| administrative data | 0.310746 |
| survey data | 0.317557 |
| certain data | 0.335276 |
| public use data | 0.331092 |
|
| medical records data | 0.327788 |
| program data | 0.30253 |
| vital statistics data | 0.354166 |
| potential data users | 0.341891 |
| public health programs | 0.314964 |
| Multiple data sets | 0.306747 |
| data collection systems | 0.315932 |
| data collection | 0.454548 |
| health surveillance programs | 0.410966 |
| time data | 0.301007 |
| new data elements | 0.309075 |
| health surveillance data | 0.376261 |
| collect surveillance-related data | 0.303598 |
| certain data stewards | 0.309396 |
| data security technique | 0.318855 |
| Sharing Data states | 0.316031 |
| new data | 0.314394 |
| regulatory data | 0.307607 |
| data systems | 0.37631 |
| identifiable data | 0.303827 |
| governmental data collection | 0.321071 |
| data release | 0.313054 |
| specific data needs | 0.314945 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Ulcers - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Ulcers |
| gnawing | 0.32668 |
| antibiotic regimens | 0.396741 |
| breath test | 0.392371 |
| burning pain | 0.412104 |
| H. pylori | 0.739168 |
| bacterium Helicobacter | 0.407266 |
| bowel movements | 0.396151 |
| stomach | 0.379938 |
| national health care | 0.464801 |
| belly button | 0.402951 |
| chronic ulcer patients | 0.667631 |
| appropriate antibiotic treatment | 0.479728 |
| spicy foods | 0.392319 |
| H. pylori infection | 0.53045 |
| appropriate antibiotics | 0.40005 |
| ulcers bleed | 0.487682 |
| small tube | 0.390475 |
| ibuprofen | 0.32273 |
| first-time ulcer patients | 0.664524 |
| over-the-counter medications | 0.390053 |
| hero physician | 0.383253 |
| 35-year-old woman | 0.385853 |
| receptor antagonists | 0.395823 |
| NSAIDS | 0.323291 |
| early morning | 0.402073 |
|
| new cases | 0.391861 |
| annual impact | 0.391086 |
| antibiotic-based therapy | 0.387769 |
| recurrent abdominal pain | 0.595254 |
| abdomen | 0.324384 |
| ulcer-related hospitalizations | 0.399094 |
| ulcer disease | 0.737193 |
| common ulcer symptom | 0.749317 |
| long time | 0.398273 |
| peptic ulcer disease | 0.678269 |
| blood test | 0.390723 |
| endoscopy | 0.335844 |
| non-steroidal anti-inflammatory drugs | 0.485264 |
| acid-reducing medications | 0.386099 |
| pelvic inflammatory disease | 0.458453 |
| people | 0.350162 |
| common symptoms | 0.395538 |
| duodenum | 0.32495 |
| Ulcer pain | 0.665485 |
| fallopian tubes | 0.387174 |
| traditional ulcer treatment | 0.66615 |
| ulcer | 0.90721 |
| Primary care physicians | 0.456758 |
| ulcer symptoms | 0.60435 |
|
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Centers for Disease Control and Prevention |
Html |
es |
El cáncer, la influenza y usted |
Tener cáncer aumenta el riesgo de sufrir complicaciones por la influenza. Las personas con antecedentes de cáncer deben recibir la vacuna contra la influenza. |
| Archivo Apple Quicktime | 0.777103 |
| Archivo RealPlayer | 0.675421 |
| Archivo Zip Comprimido | 0.772963 |
| Archivo Microsoft PowerPoint | 0.801009 |
|
| Archivo Adobe PDF | 0.776441 |
| Archivo Microsoft Excel | 0.775106 |
| Eduardo Azziz-Baumgartner | 0.68822 |
| Archivo Microsoft | 0.968285 |
|
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Evaluation of Routine HIV Opt-Out Screening and Continuum ofCare Services Following Entry into Eight Prison Reception Centers -California, 2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| California prison inmates | 0.420869 |
| high rates | 0.45276 |
| release | 0.433449 |
| California Correctional Health | 0.482212 |
| prison HIV | 0.436255 |
| viral load | 0.652393 |
| uninterrupted care | 0.508806 |
| state prisons | 0.440868 |
| new HIV | 0.415055 |
| viral suppression | 0.767973 |
| reception center | 0.486039 |
| HIV risk behaviors | 0.436534 |
| health care providers | 0.459288 |
| HIV RNA copies/mL | 0.457448 |
| CCHCS HIV | 0.413769 |
| California state prison | 0.528326 |
| patient-inmates | 0.49825 |
| undetectable viral load | 0.552676 |
| integrated HIV | 0.428928 |
| viral load test | 0.598767 |
| HIV specialty clinic | 0.444311 |
| Health Care Services | 0.492783 |
| prevents HIV transmission | 0.458192 |
| ART | 0.547731 |
| prison inmates | 0.425313 |
|
| ART response | 0.419713 |
| linkage | 0.461101 |
| HIV tests | 0.424334 |
| viral suppression rates | 0.43644 |
| new diagnoses | 0.416712 |
| uninterrupted care post-release | 0.412547 |
| Routine HIV | 0.456887 |
| HIV continuum | 0.414249 |
| Correctional Health Care | 0.49535 |
| HIV opt-out screening | 0.924583 |
| HIV diagnoses | 0.412532 |
| HIV diagnosis | 0.477186 |
| newly diagnosed HIV | 0.578163 |
| HIV screening rates | 0.456172 |
| local health departments | 0.436009 |
| public health | 0.446503 |
| previously diagnosed infection | 0.431216 |
| HIV test | 0.452331 |
| community health care | 0.460726 |
| newly diagnosed infection | 0.492658 |
| HIV screening | 0.53404 |
| HIV testing | 0.428364 |
| California state prisons | 0.437464 |
| HIV infection | 0.797809 |
|
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Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms | February 2016 | Salmonella |
Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms |
| Salmonella | 0.437798 |
| PulseNet | 0.296873 |
| ill person | 0.29798 |
| Public health investigators | 0.331697 |
| national database | 0.273019 |
| contaminated seeds | 0.270479 |
| regulatory officials | 0.346669 |
| outbreak case count | 0.281526 |
| likely source | 0.274174 |
| Salmonella Muenchen infections | 0.30117 |
| possible outbreaks | 0.277835 |
| outbreak | 0.339444 |
| DNA fingerprinting | 0.274187 |
| U.S. Food | 0.27656 |
| Kansas Department | 0.310526 |
| traceback investigations | 0.310585 |
| Salmonella Cubana | 0.332023 |
| median age | 0.273746 |
| brand alfalfa sprouts | 0.341696 |
| public health partners | 0.266056 |
| alfalfa sprouts | 0.813702 |
| public health officials | 0.392152 |
| pulsed-field gel electrophoresis | 0.342619 |
| national subtyping network | 0.34154 |
| ill people | 0.983971 |
|
| Salmonella bacteria | 0.307631 |
| multistate outbreak | 0.293567 |
| FDA | 0.270605 |
| Collaborative investigative efforts | 0.329952 |
| regulatory agency laboratories | 0.336194 |
| Drug Administration | 0.280551 |
| food regulatory agency | 0.334182 |
| CDC PulseNet database | 0.268909 |
| Salmonella infections | 0.277932 |
| multiple states | 0.271102 |
| public health | 0.595679 |
| additional ill people | 0.304868 |
| outbreak strain | 0.284801 |
| Sweetwater Farms | 0.708858 |
| Salmonella Kentucky | 0.33566 |
| Case Count Map | 0.271978 |
| DNA fingerprint | 0.308448 |
| contaminated sprouts | 0.298503 |
| possibly eating sprouts | 0.386783 |
| local public health | 0.318893 |
| irrigation water | 0.315721 |
| DNA fingerprints | 0.274399 |
| Salmonella Muenchen | 0.428571 |
| federal public health | 0.324017 |
|
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Epilepsy Among Iraq and Afghanistan War Veterans - UnitedStates, 2002-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| epilepsy | 0.909832 |
| demographic characteristics | 0.700492 |
| epilepsy identification | 0.579472 |
| VA vital status | 0.535533 |
| excess mortality | 0.609547 |
| times more IAV | 0.546267 |
| Veterans Health Administration | 0.553679 |
| U.S. Department | 0.543899 |
| significantly higher mortality | 0.556233 |
| VA national health | 0.504376 |
| comorbid conditions mortality | 0.523026 |
| health care providers | 0.537466 |
| social service providers | 0.583096 |
| epilepsy ascertainment criteria | 0.618432 |
| traumatic brain injury | 0.584374 |
| epilepsy criteria | 0.729144 |
| physical comorbidity | 0.537716 |
| community health | 0.507588 |
| epilepsy prevalence | 0.591318 |
| Epilepsy Program | 0.583081 |
| Memorial Veterans Hospital | 0.521136 |
| medical chart abstraction | 0.5134 |
| largest excess mortality | 0.503311 |
| epilepsy care | 0.601788 |
|
| IAV | 0.769638 |
| psychiatric comorbidity | 0.534955 |
| proportional hazards regression | 0.516137 |
| disease self-management programs | 0.521195 |
| epilepsy specialty care | 0.650633 |
| epilepsy study criteria | 0.647112 |
| Affairs Epilepsy Centers | 0.639609 |
| IAV population | 0.538983 |
| unadjusted Kaplan-Meier estimator | 0.520057 |
| United States veterans | 0.504876 |
| comorbid conditions | 0.63693 |
| Veterans Affairs Epilepsy | 0.664428 |
| VA care | 0.568417 |
| hazards regression models | 0.516737 |
| 5-year mortality | 0.509721 |
| evidence-based chronic disease | 0.580303 |
| health care | 0.554741 |
| epilepsy status* | 0.580198 |
| chronic disease self-management | 0.517813 |
| Afghanistan conflicts | 0.517765 |
| epilepsy group | 0.652092 |
| Veterans Health Care | 0.511992 |
| multidisciplinary epilepsy specialty | 0.61071 |
| vital status records | 0.517075 |
|
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