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Centers for Disease Control and Prevention |
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Methyl acetate - NIOSH Pocket Guide to Chemical Hazards |
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Centers for Disease Control and Prevention |
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PanFlu Storybook - Finding A Cure, Elmer "Bud" Pancake |
Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing. |
| great flu pandemic | 0.774004 |
| evidence | 0.393075 |
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| father | 0.344249 |
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| Elmer | 0.361673 |
| liquor | 0.355695 |
| navigation Skip | 0.732894 |
| Bud | 0.356619 |
| bootlegger′s trial | 0.503713 |
| rotgut | 0.338607 |
| patient | 0.376831 |
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| Storyteller | 0.357984 |
| county doctor | 0.511867 |
| phlegm | 0.375605 |
| list Skip | 0.729856 |
| Lusk | 0.461244 |
| kind | 0.342 |
| page options Skip | 0.933279 |
| prominent citizens | 0.522999 |
| sheriff′s office | 0.504551 |
| secret weapon | 0.535127 |
| Margarita Pancake | 0.6326 |
| whiskey | 0.759874 |
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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 |
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| 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 |
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| 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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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| 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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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| 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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Preventing Chronic Disease | Rationale for New York City'sRegulations on Nutrition, Physical Activity, and Screen Time inEarly Child Care Centers - CDC |
Childhood obesity is associated with health risks in childhood, and it increases the risk of adult obesity, which is associated with many chronic diseases. Therefore, implementing policies that may prevent obesity at young ages is important. In 2007, the New York City Department of Health and Mental Hygiene implemented new regulations for early childhood centers to increase physical activity, limit screen time, and provide healthful beverage offerings (ie, restrict sugar-sweetened beverages for all children, restrict whole milk for those older than 2 years, restrict juice to beverages that are 100% juice and limit serving of juice to only 6 ounces per day, and make water available and accessible at all times). This article explains why these amendments to the Health Code were created, how information about these changes was disseminated, and what training programs were used to help ensure implementation, particularly in high-need neighborhoods. |
| child care centers | 0.934127 |
| supplemental nutrition program | 0.464123 |
| NYC Board | 0.462219 |
| Prev Chronic Dis | 0.576317 |
| physical activity curriculum | 0.461879 |
| Early childhood obesity | 0.468968 |
| early childhood settings | 0.465526 |
| New York City | 0.781087 |
| early childhood centers | 0.502506 |
| early childhood educators | 0.465373 |
| children | 0.599739 |
| obesity prevention | 0.484619 |
| child obesity | 0.461663 |
| Special Supplemental Nutrition | 0.461886 |
| National Academies Press | 0.481737 |
| NYC Health Code | 0.466214 |
| early childhood | 0.614137 |
| child care center | 0.469279 |
| CrossRef | 0.464493 |
| early child care | 0.748653 |
| physical activity regulations | 0.473789 |
| NYC group child | 0.473983 |
| group child care | 0.541027 |
| Robert Wood Johnson | 0.498913 |
| technical assistance | 0.504321 |
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| Health Code | 0.474481 |
| childhood education consultants | 0.466647 |
| NYC | 0.486172 |
| sugar-sweetened beverages | 0.47621 |
| early childhood education | 0.476641 |
| City child care | 0.469243 |
| public health | 0.513798 |
| Care Food Program | 0.477768 |
| child care program | 0.481227 |
| child care environment | 0.474684 |
| Kettel Khan L. | 0.481738 |
| weather physical activity | 0.462759 |
| new regulations | 0.483997 |
| children’s health | 0.463722 |
| screen time regulations | 0.463229 |
| physical activity | 0.860119 |
| York City Department | 0.476848 |
| Start early childhood | 0.465102 |
| Wood Johnson Foundation | 0.498401 |
| childhood obesity | 0.586862 |
| screen time | 0.571811 |
| regulations | 0.506746 |
| child care regulations | 0.50524 |
| et al | 0.494013 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| 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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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 |
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| 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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