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Salmonella and Chicken: What You Should Know and What You Can Do | CDC Features |
Autumn is a popular season for sporting events, and whether you are tailgating or channel surfing, chances are that barbeque chicken and spicy wings will make an appearance. Learn how to protect yourself from Salmonella. |
| Salmonella | 0.424863 |
| CDC | 0.420319 |
| foods | 0.465625 |
| food thermometer | 0.496046 |
| tips | 0.420156 |
| raw juices | 0.508733 |
| pregnant women | 0.49677 |
| children | 0.418278 |
| immune systems | 0.496846 |
| loved ones | 0.502272 |
| shopping cart | 0.497254 |
| beverages | 0.420623 |
| surface | 0.418587 |
| Americans | 0.42097 |
| leftover chicken | 0.674136 |
| raw chicken | 0.980314 |
| microwavable meals | 0.494447 |
| foodborne illness | 0.50728 |
| following signs | 0.493149 |
| special care | 0.506205 |
| utensils | 0.447939 |
| refrigerator | 0.422233 |
| countertops | 0.447085 |
| Clostridium | 0.425776 |
| nutritious choice | 0.51681 |
|
| chicken | 0.996648 |
| harmful germs | 0.510953 |
| warm soapy water | 0.597621 |
| chicken juices | 0.690618 |
| separate cutting board | 0.57088 |
| safe internal temperature | 0.570357 |
| Wash hands | 0.506615 |
| Campylobacter bacteria | 0.520062 |
| cooking | 0.466337 |
| kitchen | 0.418961 |
| food poisoning | 0.782916 |
| Wash cutting boards | 0.576661 |
| poultry | 0.418851 |
| fresh produce | 0.494148 |
| restaurant | 0.418347 |
| soapy water | 0.618516 |
| health | 0.43623 |
| dishes | 0.41953 |
| menu | 0.420176 |
| people | 0.439989 |
| Place chicken | 0.685525 |
| meat | 0.420787 |
| disposable bag | 0.502338 |
| undercooked chicken | 0.712649 |
|
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Preventing Clostridium difficile Infections |
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. |
| health-care exposures | 0.656005 |
| hospitals | 0.532089 |
| excess health-care costs | 0.516919 |
| CDI prevention programs | 0.597048 |
| stool specimen collection | 0.540156 |
| difficile Infection module | 0.491045 |
| CDI discharge | 0.476474 |
| home–onset CDI cases | 0.514651 |
| hospital-onset CDI | 0.791854 |
| various health-care settings | 0.477577 |
| hospital-onset cdis | 0.53283 |
| nucleic acid amplification | 0.5256 |
| nursing home-onset CDI | 0.487164 |
| CDI prevention initiatives | 0.509157 |
| nonhospital health-care exposures | 0.498785 |
| positive stool specimen | 0.710468 |
| hospital health-care settings | 0.485649 |
| C. difficile tests | 0.503052 |
| CDI cases | 0.584008 |
| antecedent health-care exposures | 0.498865 |
| hospital-onset CDI rates | 0.617464 |
| hospital onset CDI | 0.512697 |
| Clostridium difficile infections | 0.628236 |
| hospital-onset CDI cases | 0.536799 |
| United States | 0.48527 |
|
| hospital-onset CDI rate | 0.521275 |
| Emerging Infections Program | 0.8148 |
| higher hospital-onset CDI | 0.571639 |
| C. difficile transmission | 0.511591 |
| primary CDI diagnosis | 0.509682 |
| clostridium difficile infection | 0.947529 |
| nursing home–onset CDI | 0.642102 |
| C. difficile | 0.615574 |
| LabID-CDI events | 0.521844 |
| National Healthcare Safety | 0.580634 |
| health-care settings | 0.611439 |
| C. difficile spores | 0.484573 |
| public health | 0.487278 |
| New York | 0.566221 |
| C. difficile test | 0.535664 |
| Community-onset CDI cases | 0.564683 |
| previous health-care exposures | 0.529412 |
| antibiotic stewardship | 0.519511 |
| C. difficile contamination | 0.486792 |
| CDIs | 0.590573 |
| concurrent health-care exposures | 0.522518 |
| Control Hosp Epidemiol | 0.475034 |
| positive C. difficile | 0.510028 |
| acid amplification tests | 0.474328 |
|
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Vaccine Information Statement: Hepatitis B - Vaccines - CDC |
Hepatitis B Vaccine Information Statement |
| routine soreness | 0.259044 |
| health care provider | 0.302507 |
| infected partner | 0.300442 |
| National Vaccine Injury | 0.415554 |
| severe allergic reaction | 0.55531 |
| lifelong illness | 0.269224 |
| sexual contact | 0.257766 |
| chronic liver disease | 0.316105 |
| dark urine | 0.26543 |
| liver damage | 0.268938 |
| drug-injection equipment | 0.31802 |
| Acute hepatitis | 0.455364 |
| unvaccinated adults | 0.258902 |
| severe allergy | 0.270576 |
| Vaccine Adverse Event | 0.40646 |
| hepatitis B virus. | 0.46036 |
| VAERS website | 0.264413 |
| life-threatening allergic reaction | 0.327118 |
| sexually transmitted disease | 0.307461 |
| hepatitis B-related liver | 0.490348 |
| hepatitis B infection | 0.507348 |
| Chronically-infected people | 0.276428 |
| hepatitis b vaccine | 0.894766 |
| vaccine components | 0.377187 |
|
| sex partners | 0.257817 |
| United States | 0.320857 |
| Sexually active persons | 0.306351 |
| sharp instruments | 0.258069 |
| kidney disease | 0.257937 |
| 6-month period | 0.262116 |
| state health department | 0.298357 |
| mild illness | 0.321078 |
| vaccine package insert | 0.412402 |
| Current Edition Date | 0.322063 |
| hepatitis b virus | 0.945689 |
| health care | 0.312035 |
| public safety workers | 0.305996 |
| open sores | 0.260793 |
| vaccine safety site | 0.411794 |
| short-term illness | 0.268068 |
| people | 0.37691 |
| infected person | 0.337948 |
| virus infection | 0.299559 |
| chronic hepatitis | 0.536072 |
| long-term monogamous relationship | 0.305164 |
| clay-colored bowel movements | 0.319171 |
| long-term illness | 0.265296 |
| liver cancer | 0.323183 |
|
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Página principal Salvamos vidas. Protegemos a la gente. Ahorramos costos mediante la prevención.Búsqueda en los CDC Botón de búsqueda |
CDC - Wide Page example description goes here |
| Nueva York | 0.798282 |
| Salud Comunitaria | 0.723412 |
|
| Estados Unidos | 0.643662 |
| étnico chs | 0.918454 |
|
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B Virus | Risk for Infection | Herpes B | CDC |
Persons at greatest risk for B virus infection are veterinarians, laboratory workers, and others who have close contact with Old World macaques or monkey cell cultures. |
| infection | 0.713804 |
| Clinical Infectious Diseases | 0.617056 |
| CDC | 0.243617 |
| laboratory workers | 0.479231 |
| latent state | 0.485843 |
| scratches | 0.271072 |
| reactivation | 0.279047 |
| tissue | 0.24332 |
| latent infection | 0.652278 |
| primate center | 0.466717 |
| Prevention section | 0.433039 |
| virus | 0.76889 |
| eyes | 0.24293 |
| newer antiviral agents | 0.637954 |
| example | 0.238379 |
| veterinarians | 0.249109 |
| evaluation | 0.238104 |
| updates previous recommendations | 0.63423 |
| mucosal surfaces | 0.510991 |
| indirect contact | 0.47379 |
| Persons | 0.246038 |
| Old World macaques | 0.975241 |
|
| close contact | 0.476801 |
| needlestick injury | 0.453955 |
| animals | 0.239708 |
| biologic material | 0.459298 |
| monkey cell cultures | 0.727792 |
| post-exposure prophylaxis | 0.48386 |
| secretions | 0.27889 |
| case | 0.238351 |
| group | 0.274786 |
| nose | 0.251791 |
| tissues | 0.256572 |
| greatest risk | 0.47298 |
| animal bites | 0.47989 |
| adulthood | 0.26068 |
| Human infection | 0.621959 |
| mouth | 0.250125 |
| infected body fluid | 0.703838 |
| response | 0.238398 |
| Cercopithecine Herpesvirus | 0.454309 |
| Transmission section | 0.420404 |
| active viral shedding | 0.677697 |
| time | 0.24104 |
|
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Importation and Containment of Ebola Virus Disease -Senegal, August-September 2014 |
On September 30, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Institut Pasteur Dakar | 0.709004 |
| Ebola treatment unit | 0.78238 |
| University Hospital Fann | 0.966933 |
| recent travel | 0.555176 |
| West African country | 0.540712 |
| Red Cross Society | 0.544325 |
| MMWR Early Release | 0.568591 |
| anticipated imported cases | 0.56065 |
| tertiary care hospital | 0.574832 |
| health screening | 0.551531 |
| Health Organization | 0.618787 |
| World Health Organization | 0.590969 |
| Papa Amadou Diack | 0.567493 |
| Global Health | 0.559718 |
| Kelsey Mirkovic | 0.562232 |
| health care staff | 0.623068 |
| Ebola patients | 0.699575 |
| unrelated suspected cases | 0.548973 |
| Ebola | 0.954485 |
| resistant health care | 0.610298 |
| transcriptase–polymerase chain reaction | 0.550047 |
| Ebola virus disease | 0.804443 |
| Household member contacts | 0.562986 |
| Ebola health care | 0.810547 |
| in-person temperature monitoring | 0.550634 |
|
| public health staff | 0.629363 |
| infection control | 0.550864 |
| Sierra Leone | 0.550145 |
| Ebola cases | 0.757646 |
| Ebola importation | 0.751276 |
| health personnel | 0.636201 |
| possible Ebola importation | 0.743791 |
| neighborhood health post | 0.606103 |
| health care workers | 0.621495 |
| incident command structure | 0.661558 |
| health care | 0.863147 |
| Red Cross volunteers | 0.791635 |
| care worker contacts | 0.788054 |
| health care worker | 0.808426 |
| rapid Ebola identification | 0.722241 |
| 8World Health Organization | 0.58915 |
| 7World Health Organization | 0.589315 |
| current Ebola epidemic | 0.736005 |
| Ebola patient | 0.710356 |
| public health personnel | 0.6349 |
| Senegal Ministry | 0.723245 |
| West Africa | 0.597108 |
| 21-day monitoring period | 0.569991 |
| laboratory testing | 0.55345 |
|
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CDC update on first Ebola case diagnosed in the United States: 10-04-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Synaptic Digital/Tom Harkin | 0.682142 |
| CDC | 0.670672 |
| Non-Media | 0.356399 |
| Tom Frieden | 0.53504 |
| telebriefing | 0.36277 |
| DL Freq | 0.514219 |
| Press Room | 0.505629 |
| Saturday | 0.372072 |
| Clifton Road NE | 0.656544 |
| Disease Control | 0.693904 |
| EDT | 0.350626 |
| Global Communications Center | 0.861493 |
| RSVP | 0.382887 |
| Important Instructions | 0.482907 |
| CDC Media | 0.604182 |
| touchtone phone | 0.487931 |
| ET | 0.367961 |
| Texas Department | 0.496579 |
| HUMAN SERVICES | 0.471015 |
| press conference | 0.483002 |
| media briefing | 0.525263 |
| David Lakey | 0.542932 |
| Clay Lewis Jenkins | 0.6604 |
| KU-Band | 0.352218 |
|
| Centers | 0.365562 |
| 720p | 0.352421 |
| Dallas County | 0.500318 |
| United States | 0.514274 |
| State Health Services | 0.663648 |
| Satellite feed service | 0.619002 |
| Prevention | 0.365449 |
| Ebola case | 0.550051 |
| transcript | 0.411512 |
| press office | 0.500749 |
| contact CDC | 0.613504 |
| U.S. DEPARTMENT | 0.471342 |
| PASSCODE | 0.352634 |
| M.P.H | 0.354079 |
| Tom Harkin Global | 0.698361 |
| question | 0.395732 |
| FEC | 0.348639 |
| Harkin Global Communications | 0.911088 |
| Commissioner | 0.335895 |
| Reporters | 0.369322 |
| Ebola Virus | 0.502992 |
| visit http://www.cdc.gov/museum/visitor.htm | 0.480329 |
| investigation | 0.334877 |
| time | 0.359263 |
|
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Transcript for CDC Telebriefing: YRBS |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| school district surveys | 0.501223 |
| sub group analysis | 0.465026 |
| health risk behaviors | 0.608281 |
| prescription drugs | 0.50009 |
| urban school districts | 0.541677 |
| youth health risk | 0.486323 |
| actual prevalence rate. | 0.463865 |
| national YRBS results | 0.489879 |
| school students grades | 0.509672 |
| YRBS report | 0.478542 |
| brian king | 0.463233 |
| mike stobbe | 0.495608 |
| fewer high school | 0.497133 |
| school health policies | 0.492335 |
| U.S. high school | 0.508 |
| simple single question | 0.488074 |
| best science available. | 0.470754 |
| dr. zaza | 0.739445 |
| unhealthy dietary behaviors | 0.498587 |
| national YRBS. Parental | 0.483418 |
| 16percent e-cigarette usage | 0.46489 |
| sexual risk behaviors | 0.496459 |
| large urban school | 0.618983 |
| priority health risk | 0.490898 |
| Marcia Frellick MedScape | 0.471069 |
|
| youth service providers | 0.474681 |
| sexual behaviors | 0.464672 |
| percent | 0.620788 |
| cigarette smoking | 0.470642 |
| Mr. Benjamin Haynes | 0.490678 |
| slightly different way | 0.46713 |
| youth risk behavior | 0.600425 |
| marcia frellick | 0.552068 |
| CDC press office | 0.471151 |
| health risk behaviors. | 0.482726 |
| public health professionals | 0.47675 |
| high school students. | 0.497612 |
| bilge challenges. Cigarette | 0.471644 |
| car crash prevention | 0.470145 |
| national youth risk | 0.599303 |
| national nongovernmental organizations | 0.476045 |
| question | 0.55769 |
| benjamin haynes | 0.638246 |
| Dr. Zaza. Jennifer | 0.47317 |
| Dr. Stephanie Zaza | 0.514015 |
| high school students | 0.981879 |
| non-school related work | 0.472975 |
| david beasley | 0.549027 |
| time | 0.474776 |
|
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PRAMS and Influenza Vaccination Data Tables |
Influenza Vaccination Among Women with a Recent Live Birth, Pregnancy Risk Assessment Monitoring Systems (PRAMS), 2009-10 Influenza Season - CDC |
| recent pregnancy | 0.525928 |
| half | 0.497793 |
| Prevalence | 0.432719 |
| Page | 0.444373 |
| Infants | 0.426453 |
| complex survey design | 0.866214 |
| states | 0.421822 |
| Pregnancy Risk Assessment | 0.641579 |
| socio-demographic characteristics | 0.564379 |
| nurse | 0.422388 |
| Children | 0.421156 |
| recent live birth-Pregnancy | 0.681203 |
| coverage | 0.425003 |
| influenza season | 0.75225 |
| health care worker | 0.638607 |
|
| Table | 0.449205 |
| Program | 0.421241 |
| question | 0.420929 |
| State-specific influenza vaccination | 0.856037 |
| Special Supplemental Nutrition | 0.649271 |
| New York city | 0.648881 |
| seasonal flu | 0.533966 |
| WIC | 0.439041 |
| *Vaccination | 0.42335 |
| Participant | 0.430349 |
| confidence interval | 0.947758 |
| Risk Assessment Monitoring | 0.903242 |
| confidence intervals | 0.779479 |
| sample sizes | 0.663583 |
| recent live birth | 0.646922 |
|
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Use of Culturally Focused Theoretical Frameworks for Adapting Diabetes Prevention Programs: A Qualitative Review |
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. |
| diabetes prevention | 0.909495 |
| Diabetes Educ | 0.541293 |
| community-based diabetes prevention | 0.49481 |
| cultural adaptation process | 0.480882 |
| Latino Diabetes Prevention | 0.498391 |
| diabetes prevention activity | 0.5083 |
| Future cultural adaptations | 0.480361 |
| cultural adaptation feasibility | 0.465056 |
| Diabetes prevention interventions | 0.529891 |
| faith-based diabetes prevention | 0.494538 |
| cultural adaptation frameworks | 0.469758 |
| Health Educ Behav | 0.468694 |
| family-based diabetes prevention | 0.493439 |
| weight loss | 0.462349 |
| Special Diabetes Program | 0.490251 |
| culturally tailored diabetes | 0.477517 |
| cultural adaptations | 0.654337 |
| behavioral health interventions | 0.469271 |
| cultural adaptation processes | 0.466553 |
| diabetes control | 0.481392 |
| superior cultural adaptations | 0.468604 |
| diabetes prevention program | 0.826341 |
| evidence-based diabetes prevention | 0.504371 |
| prevention cultural adaptations | 0.498636 |
| specific cultural health | 0.467703 |
|
| CrossRef | 0.467412 |
| American church-based diabetes | 0.482432 |
| diabetes education | 0.474265 |
| diabetes lifestyle intervention | 0.48554 |
| diabetes prevention programs | 0.600417 |
| Diabetes Type | 0.466582 |
| diabetes primary prevention | 0.497086 |
| African Americans | 0.475313 |
| cultural elements | 0.503029 |
| Health Diabetes Prevention | 0.510831 |
| cultural adaptation | 0.592829 |
| studies | 0.472525 |
| Future diabetes prevention | 0.501703 |
| public health | 0.488423 |
| model prevention program | 0.471362 |
| Diabetes Care | 0.469124 |
| diabetes prevention intervention | 0.526524 |
| church-based diabetes prevention | 0.524947 |
| diabetes interventions | 0.501414 |
| recent diabetes treatment | 0.481269 |
| Diabetes Prevention demonstration | 0.494744 |
| cultural program modifications | 0.466174 |
| et al | 0.527959 |
| Diabetes Translational Research | 0.489838 |
|
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