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Protect Your Baby with Immunization | CDC Features |
Immunization is one of the best ways parents can protect their infants from 14 serious childhood diseases before age 2. Vaccinate your child according to the CDC’s recommended immunization schedule for safe, proven disease protection. |
| country | 0.454443 |
| CDC | 0.499264 |
| insurance provider | 0.480874 |
| administration fee | 0.558215 |
| Measles cases | 0.552545 |
| children | 0.770176 |
| VFC vaccine | 0.49545 |
| best protection | 0.487405 |
| childhood illnesses—like measles | 0.622744 |
| best ways parents | 0.591102 |
| young children | 0.581464 |
| disease protection | 0.499751 |
| eligible child | 0.505934 |
| infants | 0.46371 |
| childhood diseases | 0.508406 |
| following diseases | 0.493059 |
| immunization rates | 0.51253 |
| unvaccinated U.S. residents | 0.567069 |
| recent study | 0.498686 |
| eligibility requirements | 0.488066 |
| highest risk | 0.495036 |
| vaccine website | 0.50057 |
| outbreaks | 0.504382 |
| U.S. Measles | 0.550109 |
|
| United States | 0.904234 |
| immunization schedule | 0.816016 |
| vaccines | 0.7819 |
| young babies | 0.500597 |
| Health page | 0.490564 |
| vaccination protection | 0.486862 |
| babies | 0.508214 |
| potentially life-threatening diseases | 0.573156 |
| record high levels | 0.565039 |
| vfc program | 0.539725 |
| whooping cough deaths | 0.611367 |
| VFC vaccines | 0.605903 |
| case counts | 0.498826 |
| eligible children | 0.558035 |
| devastating consequences | 0.500644 |
| health insurance plans | 0.552469 |
| staff members | 0.490569 |
| Visit CDC | 0.489502 |
| whooping cough | 0.789417 |
| federal program | 0.487577 |
| vaccine-preventable diseases | 0.784676 |
| family | 0.460215 |
| measles | 0.635262 |
| childhood vaccines | 0.555071 |
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Centers for Disease Control and Prevention |
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The real question was, "Will this hurt someone?"- Anthrax |
School Asthma Policies Can Save Lives; Asthma attacks make breathing difficult, but avoiding triggers and properly using medication can reduce asthma symptoms and save lives. CDC’s National Asthma Control Program supported laws allowing children to carry medication at school. |
| new technology | 0.728719 |
| CDC | 0.534644 |
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| unique professional background | 0.785219 |
| anthrax response | 0.704138 |
| new sources | 0.692808 |
| new products | 0.573995 |
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| new way | 0.593448 |
| flavoring vapors | 0.812286 |
| occupational health | 0.586532 |
| research | 0.466598 |
| Ann Hubbs | 0.808178 |
| first-generation products | 0.576569 |
| butter flavoring vapors | 0.786211 |
| best possible decisions | 0.739148 |
| popcorn flavoring vapors | 0.811168 |
| nanotechnology | 0.534431 |
| energy level | 0.592243 |
| unbelievably tight timeframes | 0.785378 |
| different perspective | 0.580041 |
| lung safety | 0.591327 |
| Popcorn Worker | 0.604764 |
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| diverse people | 0.582733 |
| big picture | 0.592082 |
| buttery taste | 0.587601 |
| science | 0.501704 |
| respiratory hazard | 0.574051 |
| intentional release | 0.613673 |
| common denominator | 0.584136 |
| economic force | 0.56936 |
| risk probability | 0.589861 |
| wonderful feeling | 0.570446 |
| Hubbs | 0.878891 |
| food manufacturing workers | 0.724859 |
| Hart Building | 0.5887 |
| respiratory disease lung | 0.78086 |
| workplace conditions | 0.568333 |
| cosmetic industries | 0.563843 |
| value | 0.467379 |
| public health | 0.932535 |
| nano particulates | 0.623629 |
| occupational safety | 0.597173 |
| microwave popcorn flavoring | 0.876825 |
| risks | 0.46941 |
| anthrax spores | 0.91384 |
| information | 0.467902 |
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Influenza Outbreaks at Two Correctional Facilities - Maine,March 2011 |
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. |
| treatment courses | 0.408615 |
| reverse transcriptase–polymerase chain | 0.397409 |
| non-ill inmates | 0.426773 |
| influenza vaccination coverage | 0.465579 |
| Influenza Div | 0.392547 |
| annual influenza clinics | 0.423346 |
| Human Services | 0.40055 |
| correctional settings | 0.422837 |
| communicable disease outbreaks | 0.413812 |
| influenza B. Autopsy | 0.424685 |
| ill inmates | 0.478037 |
| state medical examiner | 0.415474 |
| positive influenza specimen | 0.437961 |
| symptomatic staff members | 0.398245 |
| routine influenza surveillance | 0.411074 |
| vaccination status | 0.469162 |
| correctional facilities | 0.636189 |
| prophylactic courses | 0.415697 |
| symptomatic inmates | 0.425593 |
| ill staff members | 0.40145 |
| comorbid medical conditions | 0.401414 |
| Facilities Pandemic Influenza | 0.427852 |
| intensive-care unit | 0.395179 |
| Maine CDC | 0.592725 |
|
| CMS | 0.394789 |
| screen inmates | 0.427135 |
| public health response | 0.464974 |
| Correctional Medical Services | 0.443796 |
| transcriptase–polymerase chain reaction | 0.397734 |
| influenza prophylaxis | 0.403614 |
| influenza | 0.629924 |
| influenza outbreaks | 0.462196 |
| asymptomatic inmates | 0.471377 |
| Correctional Medical Svcs | 0.391256 |
| Maine Dept | 0.394222 |
| inmates | 0.718618 |
| antiviral prophylaxis | 0.41498 |
| additional inmates | 0.438917 |
| public health | 0.570352 |
| asympotomatic inmates | 0.424441 |
| correction staff members | 0.39032 |
| influenza season | 0.42517 |
| staff members | 0.939011 |
| antiviral drugs | 0.670158 |
| routine influenza clinic | 0.426288 |
| real-time reverse transcriptase–polymerase | 0.397413 |
| influenza testing | 0.397844 |
| U.S. correctional facilities | 0.40365 |
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Centers for Disease Control and Prevention |
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Stress at Work - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Stress at Work |
| unhappy customers | 0.549278 |
| indoor air quality | 0.791424 |
| health insurance | 0.526703 |
| work-related musculoskeletal disorders | 0.810465 |
| work organization changes | 0.748892 |
| stressful job | 0.554265 |
| emphasis | 0.341298 |
| customer service department | 0.72481 |
| bathroom breaks | 0.535537 |
| work organization | 0.9338 |
| migraine headaches | 0.528159 |
| Americans | 0.338963 |
| complaints | 0.41378 |
| health problems | 0.519264 |
| U.S. workers | 0.549446 |
| primary step | 0.53824 |
| phone | 0.341778 |
| broad influence | 0.564438 |
| stress management | 0.607688 |
| government restructuring | 0.547881 |
| benefits | 0.339389 |
| boss | 0.341194 |
| Work stress | 0.632493 |
| high levels | 0.546114 |
| on-the-job stress | 0.666667 |
|
| sick leave | 0.530046 |
| moment | 0.343877 |
| ways | 0.347647 |
| Two-fifths | 0.343319 |
| Theresa | 0.502952 |
| occupational health concerns | 0.781786 |
| Recent studies | 0.572048 |
| large company | 0.529206 |
| policy | 0.340857 |
| one-third | 0.361731 |
| cardiovascular disease | 0.569815 |
| extended leave | 0.527433 |
| occupational injury | 0.56575 |
| processes | 0.347611 |
| approval | 0.343695 |
| jobs | 0.343207 |
| contract worker | 0.766534 |
| Yes. | 0.342195 |
| doctor | 0.338931 |
| possible heart attack | 0.705314 |
| matters | 0.338485 |
| high blood pressure | 0.693566 |
| risk | 0.338791 |
| time | 0.383991 |
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Healthy Places - Transportation and Health Resources - Transportation and Health Impact Assessment |
Healthy Places - Transportation and Health - Resources - Transportation and Health Impact Assessment |
| transportation projects | 0.58224 |
| health professionals | 0.431214 |
| Health Impact Assessments | 0.945652 |
| Centers | 0.242956 |
| http://www.cdc.gov/healthyplaces/transp ortation/hia_toolkit.htm | 0.445319 |
| policies | 0.263367 |
| project managers | 0.42681 |
| stakeholders | 0.27753 |
|
| city planners | 0.449346 |
| URL | 0.262815 |
| Prevention | 0.242631 |
| impact assessment toolkit | 0.70734 |
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| planning | 0.239205 |
| framework | 0.236326 |
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NCIRD | DBD Bulletin Fall 2011 | Communications | Bacterial Div |
Division of Bacterial Diseases Bulletin Fall |
| senior health | 0.380794 |
| live chats | 0.372728 |
| scarlet fever podcast | 0.758871 |
| Dr. Besser | 0.453149 |
| antibiotic use podcast | 0.480089 |
| antibiotic resistance | 0.427415 |
| ABC News | 0.381852 |
| CDC’s OADC | 0.422145 |
| Twitter chat | 0.708368 |
| Tarayn Fairlie | 0.969447 |
| Alison Patti | 0.781682 |
| historical reasons | 0.441334 |
|
| medical editor | 0.380332 |
| live chat | 0.353962 |
| Kathleen Dooling | 0.827299 |
| sore throats | 0.444266 |
| live Twitter chat | 0.650426 |
| Influenza Division | 0.721178 |
| Tarayn Fairlie talk | 0.806181 |
| flu season | 0.415913 |
| Kathryn Fleming-Dutra | 0.419519 |
| antibiotics | 0.241684 |
| Dr. Rich Besser | 0.69109 |
| acute respiratory infections | 0.653933 |
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NIOSH Peer Review - Exposure to Lead and Noise at Indoor Firing Ranges |
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| Peer Reviewers Provided | 0.546636 |
| independent subject matter | 0.489942 |
| Occupational Exposure | 0.486072 |
| page document | 0.461867 |
| York State Department | 0.50871 |
| Health Specialist | 0.472849 |
| U.S. Department | 0.504192 |
| major changes | 0.469435 |
| Safety Fund | 0.461614 |
| major structural changes | 0.6026 |
| draft Alert | 0.482165 |
| Health Division | 0.472793 |
| review form | 0.47022 |
| health hazards | 0.475497 |
| rigorous external review | 0.517426 |
| health professionals | 0.516061 |
| Industrial Hygienist | 0.514626 |
| Indoor Firing Ranges | 0.538893 |
| Environmental Health | 0.471739 |
| draft document | 0.501123 |
| Occupational Exposures | 0.473422 |
| work practice recommendations | 0.50509 |
| Indoor Firing Ranges. | 0.516698 |
| enforcement officer exposure | 0.508892 |
| external reviewers | 0.623214 |
|
| National Training Center | 0.503746 |
| Health Services | 0.473993 |
| Professional Credentials | 0.860003 |
| NIOSH Alert | 0.622155 |
| National Shooting Sports | 0.498054 |
| Federal Law Enforcement | 0.499616 |
| specific review | 0.468716 |
| Idaho National Laboratory | 0.505968 |
| professional organizations | 0.51635 |
| law enforcement | 0.558349 |
| Public Nominations Requested | 0.504658 |
| professional background | 0.4627 |
| Health Administration | 0.470558 |
| indoor firing | 0.575147 |
| occupational safety | 0.669867 |
| law enforcement agencies | 0.50853 |
| Senior Industrial Hygienist | 0.505317 |
| health | 0.561149 |
| Organizational Affiliation | 0.924367 |
| separate pdf file | 0.49295 |
| content modifications | 0.52035 |
| careful review | 0.468734 |
| Occupational Health Branch | 0.543027 |
| Public Health Service | 0.512175 |
|
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Centers for Disease Control and Prevention |
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Nearly half a million Americans suffered from Clostridium difficile infections in a single year |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| antibiotic prescribing improvement | 0.398457 |
| infectious disease death | 0.356218 |
| upper respiratory infections | 0.402746 |
| inpatient health care | 0.363639 |
| deadly infections | 0.383961 |
| health care facility | 0.363833 |
| Antibiotic Resistant Bacteria | 0.394911 |
| common microbial cause | 0.351423 |
| new study | 0.356608 |
| CDC Director Tom | 0.375985 |
| new retrospective study | 0.354945 |
| patients | 0.398525 |
| C. difficile infections | 0.933667 |
| Resistance Prevention Programs | 0.398598 |
| percent decrease | 0.381773 |
| health care system. | 0.365743 |
| health care facilities | 0.358935 |
| healthcare-associated C. difficile | 0.539395 |
| Preventing C. difficile | 0.520504 |
| Hospital Antibiotic Stewardship | 0.408412 |
| community-associated C. | 0.358105 |
| Healthcare-Associated Infections Program | 0.404092 |
| acute care facilities | 0.360327 |
| accompanying checklist. CDC | 0.367752 |
|
| AHRQ Director Richard | 0.3539 |
| Antibiotic Resistance Prevention | 0.449562 |
| difficile infection data | 0.494913 |
| outpatient settings | 0.351379 |
| infection control | 0.394073 |
| percent | 0.381788 |
| healthcare-associated infections | 0.409545 |
| excess health care | 0.365892 |
| C. difficile infection | 0.680446 |
| Antibiotic Use Critical | 0.379891 |
| antibiotic stewardship programs | 0.449003 |
| health care | 0.46809 |
| 50 states | 0.353342 |
| poor infection control | 0.366787 |
| State Antibiotic Resistance | 0.450212 |
| recent CDC study | 0.41592 |
| separate recent CDC | 0.370421 |
| nursing home | 0.354368 |
| Health Care-Associated Infections | 0.402829 |
| antibiotic stewardship | 0.480012 |
| C. difficile. | 0.359714 |
| U.S. nursing homes | 0.353477 |
| C. difficile infections. | 0.530447 |
| antibiotic resistance prevention. | 0.397486 |
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Lisa's Story |
The story of Lisa, a 41-year-old woman with a family history of breast cancer. |
| instructions | 0.221972 |
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| husband | 0.220684 |
| discussion | 0.222567 |
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| experience | 0.224841 |
| BRCA2 | 0.221193 |
| Lisa | 0.591714 |
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| mutations | 0.223103 |
| shows | 0.221481 |
| negative test | 0.32133 |
| options | 0.224802 |
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| ovarian cancer | 0.557997 |
| genes | 0.220709 |
| breast cancer risk. | 0.506797 |
| different type | 0.319375 |
| California | 0.220609 |
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| aunts | 0.279327 |
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| body’s functions | 0.325882 |
| genetic counselor | 0.317376 |
|
| advice | 0.220587 |
| changes | 0.221274 |
| children’s school | 0.311716 |
| genetic counseling | 0.342026 |
| prevalence | 0.224531 |
| breast cancer screenings | 0.499746 |
| young age | 0.320503 |
| aunt | 0.227645 |
| BReast CAncer gene | 0.532284 |
| ovarian cancer risk | 0.44679 |
| BRCA gene mutationBRCA | 0.443764 |
| genetic change | 0.324674 |
| higher risk | 0.404766 |
| best health advocate | 0.454561 |
| story http://1.usa.gov/222g30n | 0.312687 |
| decision | 0.221785 |
| Lisa’s story | 0.398483 |
| long history | 0.310665 |
| breast cancer | 0.986423 |
| disease. | 0.221842 |
| cousin | 0.262833 |
| doctor | 0.24413 |
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| hospital pharmacist | 0.320551 |
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Centers for Disease Control and Prevention |
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Países y territorios con transmisión activa del virus del Zika | El virus del Zika |
Información sobre el virus del Zika. Facilitada por los Centros para el Control y la Prevención de Enfermedades de los EE. UU. |
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