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Centers for Disease Control and Prevention |
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Trench Foot or Immersion Foot|Natural Disasters and Severe Weather |
Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC). |
| feet | 0.530642 |
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| time | 0.436339 |
| exchange wet shoes | 0.699082 |
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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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| value | 0.467379 |
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| information | 0.467902 |
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Centers for Disease Control and Prevention |
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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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Social Media - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| CDC widget | 0.741525 |
| CDC | 0.960421 |
| web pages | 0.54261 |
| engagement | 0.430346 |
| access | 0.427848 |
| syndication technology | 0.553157 |
| social networking profile | 0.646991 |
| reach | 0.432551 |
| open information exchange | 0.673782 |
| Facebook profiles | 0.564969 |
| credible health | 0.557238 |
| CDC’s status | 0.73615 |
| navigation Skip | 0.657992 |
| Metrics | 0.688977 |
| safety information | 0.535531 |
| Widgets Metrics | 0.656911 |
| variety | 0.426053 |
| social media tools | 0.670841 |
| science-based health information | 0.70261 |
|
| Facebook Metrics | 0.686623 |
| social media | 0.69342 |
| RSS Metrics | 0.636563 |
| communication infrastructure | 0.549858 |
| list Skip | 0.660282 |
| interactive way | 0.538781 |
| fresh web content | 0.662375 |
| page options Skip | 0.791992 |
| Twitter Metrics | 0.667187 |
| safety content | 0.5312 |
| users | 0.427876 |
| Partners | 0.425219 |
| podcasts | 0.455194 |
| daily health | 0.539957 |
| Web page | 0.529339 |
| CDC content | 0.739062 |
| new audiences | 0.560739 |
| messages | 0.425909 |
| YouTube Metrics | 0.664959 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Adapting and Implementing an Evidence-Based Sun-Safety Education Program in Rural Idaho, 2012 - CDC |
Melanoma incidence and mortality rates in Idaho are higher than national averages. The importance of increased awareness of skin cancer has been cited by state and local organizations. St. Luke's Mountain States Tumor Institute (MSTI) prioritized educational outreach efforts to focus on the implementation of a skin cancer prevention program in rural Idaho. |
| skin cancer | 0.497818 |
| community cancer prevention | 0.313616 |
| cancer prevention program | 0.437728 |
| skin cancer prevention | 0.423379 |
| cancer education program | 0.439135 |
| staff training program | 0.290749 |
| evidence-based cancer control | 0.319069 |
| Mountain States Tumor | 0.310879 |
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| community cancer | 0.704814 |
| community cancer center | 0.362496 |
| pool staff training | 0.301281 |
| swim lessons | 0.306894 |
| Payette Municipal Pool | 0.998185 |
| community engagement | 0.330143 |
| Pool Cool rules | 0.298093 |
| sun safety | 0.282716 |
| skin cancer education | 0.287663 |
| MSTI cancer educator | 0.358514 |
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| MSTI | 0.423711 |
| MSTI community cancer | 0.344455 |
| community partner | 0.317324 |
|
| community cancer centers | 0.562077 |
| cancer prevention | 0.745104 |
| NCI community cancer | 0.282173 |
| Cancer Centers Program | 0.314309 |
| cancer education services | 0.294818 |
| Pool Cool | 0.988368 |
| young people | 0.623084 |
| Pool Cool program | 0.864117 |
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| cancer prevention education | 0.404571 |
| sustainable partnership | 0.301942 |
| National Cancer Institute | 0.468882 |
| sun-safety education program | 0.32429 |
| south central Idaho | 0.308954 |
| educational signage | 0.302102 |
| pool staff | 0.437182 |
| community cancer educators | 0.291653 |
| community organization | 0.291557 |
| Pool Cool implementation | 0.332554 |
| community cancer education | 0.593729 |
| evidence-based programs | 0.300192 |
| States Tumor Institute | 0.309554 |
| Community Preventive Services | 0.290514 |
| sun-safety education | 0.421965 |
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Examples and Best Practices of Successful Influenza Vaccination Programs in Long-term Care (LTC) Settings |
Community Best Practices - Examples of successful influenza vaccination programs for health care personnel (HCP) working in long-term care (LTC) settings - CDC |
| summary | 0.345291 |
| employers | 0.370655 |
| higher vaccination rates | 0.926802 |
| success story | 0.560647 |
| methods | 0.354481 |
| long-term care | 0.612221 |
| staff | 0.35479 |
| section | 0.347823 |
|
| influenza vaccination rates | 0.900488 |
| additional examples | 0.558497 |
| best practices | 0.803988 |
| new stories | 0.569699 |
| LTC settings | 0.689547 |
| flu season | 0.586188 |
| health care workers | 0.777477 |
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| 11989 |
Centers for Disease Control and Prevention |
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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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Preliminary Findings from an Investigation of Zika VirusInfection in a Patient with No Known Risk Factors - Utah, 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| County Health Department | 0.650057 |
| family contacts | 0.734216 |
| symptom onset | 0.577416 |
| 2Public Health Associates | 0.576654 |
| active vector surveillance | 0.562555 |
| Utah Department | 0.566315 |
| direct contact | 0.57359 |
| electronic PDF version | 0.560668 |
| Zika virus-like symptoms | 0.582646 |
| Zoonotic Infectious Diseases | 0.603491 |
| patient interactions | 0.56807 |
| National Center | 0.578021 |
| risk factors | 0.567102 |
| urine specimens | 0.580074 |
| South Salt Lake | 0.574351 |
| Zika virus disease | 0.599763 |
| patient A. | 0.5732 |
| body fluids | 0.607849 |
| patient’s body | 0.571322 |
| transcription–polymerase chain reaction | 0.567605 |
| 7Davis County Health | 0.578385 |
| multiple organ failure | 0.568403 |
| Zika Virus Response | 0.59816 |
| Zika virus transmission | 0.618474 |
|
| Public Health Laboratory | 0.617061 |
| Utah Public Health | 0.592835 |
| plaque-reduction neutralization testing | 0.572997 |
| original MMWR paper | 0.562679 |
| Zika virus infection | 0.70072 |
| male family contact | 0.591934 |
| severely ill patients | 0.559752 |
| Abatement District | 0.605782 |
| zika virus | 0.96593 |
| adult mosquito surveillance | 0.585298 |
| index patient | 0.952353 |
| Utah Hospital | 0.565891 |
| health care workers | 0.770917 |
| Salt Lake City | 0.679208 |
| City Mosquito Abatement | 0.594929 |
| Davis County Health | 0.590375 |
| Zika virus infections | 0.602067 |
| health care worker | 0.58937 |
| Lake County Health | 0.587381 |
| Emergency Operation Center | 0.562659 |
| Aedes albopictus mosquitoes | 0.568078 |
| 10Utah Public Health | 0.576091 |
| Zika virus IgM | 0.608881 |
| enzyme-linked immunosorbent assay | 0.567942 |
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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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