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Centers for Disease Control and Prevention |
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Key Findings: How much do we know about the most common medicines used during pregnancy? |
Pregnant women should not stop or start taking any type of medicine that they need without first talking with a health care provider. Women who are planning to become pregnant should discuss the need for any medicine with their health care provider before becoming pregnant and ensure they are taking only medicines that are necessary. |
| Cragan JD | 0.459752 |
| Technical expertise | 0.459437 |
| early pregnancy | 0.477507 |
| health care provider | 0.619684 |
| Gilboa SM | 0.463144 |
| National Birth Defects | 0.637938 |
| Key Findings Reference | 0.50767 |
| pregnant women | 0.527092 |
| comprehensive approach | 0.518165 |
| infant deaths3 | 0.458934 |
| health care providers | 0.727949 |
| U.S. Food | 0.459356 |
| new study | 0.462288 |
| fetal risk | 0.458904 |
| researchers | 0.510699 |
| pregnancy | 0.708773 |
| new CDC study | 0.539393 |
| birth defect2 | 0.468116 |
| trimester | 0.475108 |
| Safer Medication | 0.46405 |
| common exposures | 0.458697 |
| Honein MA | 0.460246 |
| Friedman JM | 0.460077 |
| women | 0.568469 |
| unborn baby | 0.465251 |
|
| critical gaps | 0.462576 |
| medicines | 0.633013 |
| Thorpe PG | 0.461073 |
| Drug Administration | 0.457322 |
| knowledge limit | 0.46686 |
| large studies | 0.46094 |
| federal agencies | 0.458642 |
| Mitchell AA | 0.456994 |
| health care | 0.780259 |
| Pharmacoepidemiol Drug Safety. | 0.506258 |
| effective health care | 0.505245 |
| harmful effects | 0.456768 |
| commonly used medicines | 0.571276 |
| infant deaths | 0.458419 |
| medication | 0.467786 |
| adequate information | 0.466485 |
| birth defects | 0.955966 |
| Birth Defects Prevention | 0.550459 |
| Pregnancy Initiative | 0.466162 |
| medicine exposures | 0.466227 |
| visit www.cdc.gov/pregnancy/meds | 0.456016 |
| large study | 0.458535 |
| information | 0.50544 |
| risk | 0.489299 |
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Maryland Activities to Prevent HAIs |
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| monthly update | 0.776068 |
| list Skip | 0.761939 |
| Infection Prevention | 0.466892 |
| infectious disease | 0.777544 |
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| page options Skip | 0.955402 |
| email address | 0.701019 |
| Infection Control Assessment | 0.731638 |
| navigation Skip | 0.772889 |
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Centers for Disease Control and Prevention |
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Smokeless Tobacco - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Smokeless Tobacco (Dip, Chew, Snuff) |
| School-based programs | 0.442975 |
| older kids | 0.438524 |
| sachets | 0.409657 |
| nicotine addiction | 0.445968 |
| film industry | 0.442599 |
| student counsel | 0.438467 |
| health care providers | 0.474894 |
| moist | 0.409301 |
| health hazards | 0.437769 |
| addition | 0.414746 |
| gums | 0.42526 |
| loose leaf | 0.442881 |
| campus | 0.413284 |
| friends | 0.438141 |
| little bit | 0.439455 |
| cancer-causing agents | 0.450153 |
| community-wide efforts | 0.443386 |
| snuff | 0.431803 |
| old folks | 0.513163 |
| human cancer | 0.441928 |
| school newspaper | 0.439599 |
| clinical settings | 0.441069 |
| safe substitute | 0.447223 |
| significant health risk | 0.483198 |
| United States | 0.44474 |
|
| smokeless tobacco users | 0.667184 |
| young people | 0.44096 |
| cigarette smoking | 0.436854 |
| leukoplakia | 0.421881 |
| committed health-care professionals | 0.476113 |
| higher priority | 0.440456 |
| awful stuff | 0.440872 |
| carcinogens | 0.410271 |
| Jimmy | 0.415684 |
| spitting tobacco | 0.538255 |
| mouths | 0.435911 |
| main types | 0.444791 |
| cheek | 0.417194 |
| cigarette smokers | 0.447681 |
| smokeless tobacco | 0.962368 |
| white areas | 0.439872 |
| form | 0.416134 |
| oral cavity | 0.442842 |
| good looking kid | 0.473092 |
| Smokeless Products | 0.52348 |
| Yes. Hopefully | 0.443956 |
| suck | 0.409026 |
| tobacco juices | 0.534612 |
| tea bag-like pouches | 0.479394 |
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Interim Infection Prevention and Control Recommendations for Hospitalized Patients with Middle East Respiratory Syndrome Coronavirus (MERS-CoV) |
This updated guidance continues to recommend standard, contact, and airborne precautions and emphasizes additional elements of infection prevention and control programs that should be in place to prevent the transmission of any infectious agents including respiratory pathogens such as MERS-CoV in healthcare settings. |
| complete respiratory protection | 0.633018 |
| MERS-CoV | 0.734171 |
| public health authorities | 0.620855 |
| alcohol-based hand rubs | 0.570121 |
| alternative respiratory protection | 0.554307 |
| reusable PPE | 0.551986 |
| airborne infection isolation | 0.611052 |
| Respiratory Protection eTool | 0.549542 |
| environmental infection control | 0.735643 |
| respiratory infection adhere | 0.604318 |
| infectious agents | 0.574802 |
| respiratory hygiene | 0.699889 |
| PPE ensemble | 0.550101 |
| symptomatic MERS-CoV patient | 0.558315 |
| personal protective equipment | 0.758814 |
| respiratory protection device | 0.59005 |
| potentially infectious particles | 0.569342 |
| infection isolation room | 0.636293 |
| patients | 0.719199 |
| high-efficiency particulate air | 0.558141 |
| HCP | 0.792668 |
| MERS-CoV patients | 0.616448 |
| hand hygiene | 0.903248 |
| PPE | 0.802629 |
|
| dedicated HCP | 0.559785 |
| facepiece respirator | 0.602634 |
| cough etiquette | 0.662717 |
| appropriate PPE | 0.554107 |
| infection control | 0.802382 |
| implement respiratory hygiene | 0.638499 |
| respiratory symptoms | 0.552467 |
| respiratory pathogens | 0.633915 |
| asymptomatic HCP | 0.551985 |
| procedures | 0.581206 |
| respiratory protection | 0.836796 |
| infectious respiratory aerosols | 0.557319 |
| Respiratory Protection standard | 0.63171 |
| respiratory protection program | 0.633011 |
| Middle East Respiratory | 0.564847 |
| possible MERS-CoV patients | 0.564024 |
| MERS-CoV infection | 0.626026 |
| patient room | 0.777356 |
| infection control measures | 0.596736 |
| isolation precautions | 0.549169 |
| healthcare setting | 0.622909 |
| healthcare settings | 0.713161 |
| infection control procedures | 0.563656 |
| facilities | 0.550862 |
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Centers for Disease Control and Prevention |
Video |
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Ages 18-25: Third Runner Up: Impact of Tobacco -- Don't Be Fooled |
Celebrities, movies, popular culture, and the tobacco industry try to make smoking look desirable and glamorous, but what aren't they telling you? This video, created by Crystal Blair, was the third runner up winner in the 18-25 age category of the Surgeon General's Video Contest: Tobacco -- I'm Not Buying It.
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=1215865f18cfb88a9ab408778768722720120523103116640 |
| Impact | 0.655044 |
| Runner | 0.914213 |
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| Tobacco | 0.814566 |
| Ages | 0.669559 |
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Vermont Data to Action Success Stories - PRAMS - Reproductive Health |
Vermont PRAMS Data Shows Folic Acid Education Campaign Is Successful Success Story: Gestational Diabetes Mellitus, Pregnancy Risk Assessment Monitoring System |
| prenatal WIC visits | 0.783344 |
| Vermont PRAMS surveillance | 0.716779 |
| Vermont WIC enrollees | 0.804115 |
| Vermont PRAMS data | 0.727593 |
| neural tube defects | 0.758894 |
| Supplemental Nutrition Program | 0.756783 |
| folic acid supplement | 0.790317 |
| high school education | 0.68586 |
| office WIC staff | 0.786144 |
| media campaign | 0.718999 |
| Vermont Department | 0.689304 |
| WIC Programs | 0.748154 |
| Birth Information Network | 0.687477 |
| radio ads | 0.688306 |
| Peer Counseling Program | 0.685935 |
| folic acid media | 0.775294 |
| breastfeeding initiation rates | 0.696767 |
| folic acid vitamin | 0.775259 |
| Special Supplemental Nutrition | 0.75119 |
| new staff training | 0.684141 |
| Special Project grant | 0.674964 |
| local health offices | 0.689115 |
| primary care physicians | 0.681202 |
| transferable breastfeeding interventions | 0.692131 |
| WIC Special Project | 0.785311 |
|
| Vermont WIC program | 0.865437 |
| marketing firm | 0.688057 |
| additional support | 0.67282 |
| Web site | 0.682801 |
| WIC participants | 0.787624 |
| women | 0.740925 |
| Qualified Health Centers | 0.684509 |
| National WIC food | 0.782177 |
| defects surveillance program | 0.701593 |
| public health strategy | 0.698516 |
| enrollee-only Web site | 0.672821 |
| postpartum women | 0.672392 |
| PRAMS survey | 0.671362 |
| PRAMS data | 0.819775 |
| folic acid | 0.995905 |
| Health Epidemiology Program | 0.69278 |
| public marketing firm | 0.682687 |
| district Special Supplemental | 0.680594 |
| non-WIC counterparts | 0.683739 |
| young Vermont women | 0.723934 |
| birth defects | 0.738125 |
| Local Health Clinic | 0.679395 |
| CDC’s Folic | 0.703695 |
| early postpartum periods | 0.68093 |
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HPV-Associated Cancers Study |
The purpose of this study was to find out how many cancers associated with human papillomavirus (HPV) were diagnosed between 2004 and 2008 by sex, age, race, Hispanic ethnicity, and state of residence. |
| abnormal results | 0.523753 |
| vulvar | 0.426071 |
| body | 0.424752 |
| Utah | 0.464731 |
| follow-up | 0.422612 |
| Disease Control | 0.511641 |
| regular screening | 0.531826 |
| Oropharyngeal cancer | 0.549471 |
| residence | 0.425399 |
| Preventive Services Task | 0.616025 |
| Hispanic ethnicity | 0.545237 |
| anal precancers | 0.522435 |
| Kentucky | 0.422103 |
| HPV DNA | 0.686109 |
| HPV-associated cancers | 0.957244 |
| cervical cancer | 0.946755 |
| HPV vaccines | 0.646633 |
| tests | 0.423235 |
| Columbia | 0.422375 |
| human papillomavirus | 0.547775 |
| new cases | 0.64655 |
| District | 0.422389 |
| Maryland | 0.422234 |
| women | 0.46712 |
| study | 0.44837 |
|
| purpose | 0.425219 |
| Force | 0.421034 |
| certain cell types | 0.650527 |
| 100,000 | 0.422521 |
| Tennessee | 0.42207 |
| methods | 0.421865 |
| HPV-associated cancer rates | 0.639538 |
| kinds | 0.47149 |
| papillomavirus-associated cancers—United States | 0.620893 |
| West Virginia | 0.527617 |
| Immunization Practices | 0.517421 |
| invasive cervical cancer | 0.692485 |
| Advisory Committee | 0.514532 |
| Colorado | 0.422221 |
| men | 0.467016 |
| approved screening test | 0.612775 |
| MMWR | 0.421913 |
| race | 0.425012 |
| sex | 0.425041 |
| certain parts | 0.539547 |
| lowest rates | 0.525751 |
| highest rates | 0.519738 |
| Louisiana | 0.42209 |
| age | 0.425026 |
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Centers for Disease Control and Prevention |
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What You Need to Know About Genital Herpes |
Dr. Robyn Neblett Fanfair, Medical Officer in CDC's Division of STD Prevention, summarizes the important facts that you need to know about genital herpes. This video provides information on how herpes is spread, symptoms of the infection, and ways it is treated and prevented. Further information on genital herpes can be found by visiting www.cdc.gov/std.
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=2410fcf211cefdc480a2f86105f207fb20130425105847843 |
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Centers for Disease Control and Prevention |
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Educational and Networking Opportunities About Infection Control at the 43rd APIC Conference | Safe Healthcare | Blogs |
CDC - Blogs - Safe Healthcare – Educational and Networking Opportunities About Infection Control at the 43rd APIC ConferenceSafe Healthcare - The Division of Healthcare Quality Promotion plans to blog on as many healthcare safety topics as possible. We encourage your participation in our discussion and look forward to an active exchange of ideas. |
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Male Attendance at Title X Family Planning Clinics - UnitedStates, 2003-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| family planning provider | 0.335768 |
| male-focused health services | 0.343484 |
| Human Services | 0.337472 |
| reproductive health care | 0.489228 |
| male family planning | 0.339011 |
| U.S. Department | 0.308474 |
| family planning users | 0.941786 |
| percentage | 0.335007 |
| family practice health | 0.313332 |
| unintended pregnancy | 0.307783 |
| Title X service | 0.718629 |
| Quality Family Planning | 0.328609 |
| male family | 0.350381 |
| service sites | 0.821712 |
| primary care services | 0.303913 |
| reproductive health planning | 0.324012 |
| males | 0.34655 |
| Family Planning Program | 0.394276 |
| reproductive health | 0.541344 |
| family planning services | 0.614377 |
| Family Planning Annual | 0.34 |
| public health practice | 0.30289 |
| Title X-funded agencies | 0.29578 |
| preventive health services | 0.337907 |
| health care settings | 0.469326 |
|
| reproductive health topics | 0.29374 |
| health care needs | 0.376222 |
| women | 0.309619 |
| male clients | 0.32239 |
| confidential family planning | 0.338719 |
| family planning user | 0.337051 |
| family planning providers | 0.3418 |
| National Title | 0.294074 |
| related preventative services | 0.313601 |
| family planning | 0.985887 |
| preconception health | 0.319954 |
| health services | 0.543671 |
| men | 0.481873 |
| reproductive health services | 0.389172 |
| health care | 0.503798 |
| male client attendance | 0.292925 |
| family planning clients | 0.376278 |
| family planning visit | 0.324917 |
| services | 0.621987 |
| New Mexico | 0.299418 |
| reproductive health needs | 0.295954 |
| Population Affairs | 0.321614 |
| male users | 0.319818 |
| family planning encounter | 0.369293 |
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