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Centers for Disease Control and Prevention |
Html |
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2-Ethoxyethanol - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6376 |
Centers for Disease Control and Prevention |
Html |
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Prescription painkiller overdoses at epidemic levels - Press Release: November 1, 2011 |
Prescription painkiller overdoses at epidemic levels |
| public health epidemics | 0.505901 |
| Health Services Administration | 0.496958 |
| public insurance programs | 0.520634 |
| prescription painkiller | 0.673881 |
| public health burden. | 0.508697 |
| United States age | 0.483018 |
| prescription drug abuse | 0.768162 |
| CDC Director Thomas | 0.505293 |
| prescription drugs | 0.604232 |
| CDC journal Morbidity | 0.486658 |
| prescription painkiller death | 0.600193 |
| health care providers | 0.678638 |
| national prescription drug | 0.614249 |
| Drug Abuse Crisis | 0.497581 |
| health care practice | 0.493874 |
| doctor shopping | 0.471427 |
| Substance Abuse | 0.47171 |
| public safety approach. | 0.484229 |
| state–run health plans | 0.488287 |
| prescription painkillers | 0.976029 |
| pill mills | 0.477486 |
| state–based prescription drug | 0.608478 |
| prescription drug monitoring | 0.71691 |
| Drug Enforcement Administration | 0.495711 |
| narcotic pain relievers | 0.479028 |
|
| higher death rates | 0.471373 |
| death rates | 0.50913 |
| Responsible Drug Disposal | 0.488566 |
| comprehensive action plan | 0.471686 |
| America’s Prescription | 0.554633 |
| drug monitoring programs | 0.605982 |
| potential life | 0.488698 |
| health insurers | 0.471992 |
| public health burden | 0.498784 |
| prescription drug overdose | 0.593379 |
| fatal drug overdoses | 0.49876 |
| Prescription painkiller sales | 0.592444 |
| U.S. health protection | 0.489858 |
| public health | 0.593438 |
| Prescription Painkiller Overdoses | 0.592463 |
| key health indicators | 0.48832 |
| prescription drug | 0.823162 |
| large public insurers | 0.474667 |
| comprehensive public health | 0.510745 |
| key public health | 0.497596 |
| unwanted prescription drugs | 0.582026 |
| CDC Vital Signs | 0.503615 |
| prescription painkiller abuse | 0.590529 |
| National Drug Control | 0.500864 |
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Centers for Disease Control and Prevention |
Html |
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A twist on gift-giving this season could change hearts - Press Release: November 3, 2011 |
New Million Hearts tools announced by partners |
| heart attacks | 0.437895 |
| major risk factors | 0.398121 |
| heart attack | 0.268292 |
| key private organizations | 0.400078 |
| health threats | 0.289384 |
| United States | 0.452372 |
| online postcards | 0.294788 |
| high cholesterol | 0.280469 |
| executive director | 0.298836 |
| adequate treatment | 0.272289 |
| ABCS | 0.247708 |
| national Million Hearts | 0.987704 |
| Janet Wright | 0.28861 |
| perfect gift | 0.295572 |
| health-related e-cards | 0.283462 |
| public-private initiative | 0.263626 |
| Greater attention | 0.261756 |
| heart disease | 0.593641 |
| U.S. DEPARTMENT | 0.262377 |
| cholesterol management | 0.279221 |
| holiday season | 0.304374 |
| federal agencies | 0.264038 |
| visit http://millionhearts.hhs.gov/index.shtml | 0.262408 |
|
| public health | 0.284744 |
| health care | 0.282891 |
| daily aspirin | 0.28735 |
| digital post card | 0.435761 |
| cardiovascular disease | 0.576029 |
| Million Hearts initiative | 0.773326 |
| saving lives | 0.259693 |
| good health | 0.331412 |
| Americans | 0.201114 |
| human services | 0.395793 |
| productive lives. | 0.268741 |
| blood pressure control | 0.693235 |
| people | 0.361096 |
| stroke | 0.255971 |
| little twist | 0.300155 |
| it—your health matters. | 0.461312 |
| secure nation. | 0.266882 |
| highest risk | 0.2676 |
| smoking cessation | 0.2696 |
| gift givers | 0.303745 |
| Million Hearts initiative. | 0.789158 |
| care teams | 0.263812 |
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| 8005 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Who We Are |
null |
| CDC | 0.838527 |
| global challenges | 0.509719 |
| endorsement | 0.274993 |
| maximum public health | 0.736191 |
| injuries | 0.321643 |
| disability | 0.248933 |
| non-communicable diseases | 0.555108 |
| emergency | 0.252314 |
| scientific expertise | 0.530991 |
| malaria | 0.267321 |
| global health programs | 0.748009 |
| disease eradication | 0.504675 |
| dollar | 0.254907 |
| Ministries | 0.250327 |
| HHS | 0.280504 |
| Notice | 0.254001 |
| causes | 0.2491 |
| elimination targets | 0.515121 |
| morbidity | 0.275326 |
| longer lives | 0.541353 |
|
| health goals | 0.500835 |
| global health | 0.992721 |
| HIV/AIDS | 0.256841 |
| execution | 0.256122 |
| health systems | 0.508175 |
| partnership | 0.247804 |
| global health approach | 0.770519 |
| agency | 0.25274 |
| impact | 0.294435 |
| world live healthier | 0.844032 |
| resources | 0.252684 |
| people | 0.257321 |
| non-federal site | 0.516042 |
| refugee health | 0.549435 |
| international organization goals | 0.73251 |
| U.S. Government program | 0.742166 |
| Global Health coordinates | 0.803172 |
| mortality | 0.263635 |
| employees | 0.247648 |
| especially chronic disease | 0.72198 |
|
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Centers for Disease Control and Prevention |
Html |
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Interim Guidance Regarding Compliance with Select Agent Regulations for Laboratories Handling Patient Specimens that are Known or Suspected to Contain Ebola Virus |
null |
| critical infrastructure | 0.238557 |
| select agent facility | 0.290764 |
| severe threat | 0.279469 |
| Human Services | 0.23966 |
| ebola virus | 0.99073 |
| Toxins List | 0.245159 |
| U.S. Department | 0.239572 |
| HHS Select Agent | 0.362819 |
| Disease Control | 0.242105 |
| No. Nucleic | 0.237701 |
| deliberate misuse | 0.240123 |
| virus isolation | 0.29961 |
| naturally occurring environment | 0.265275 |
| Select Agents Program | 0.289485 |
| select agent infection | 0.288324 |
| molecular methods | 0.268621 |
| Control Recommendations | 0.27065 |
| infectious forms | 0.237981 |
| greatest risk | 0.238802 |
| ebola virus disease | 0.549916 |
| body fluids | 0.269706 |
| patient’s body | 0.257185 |
| patient care | 0.300033 |
| biological agents | 0.276348 |
|
| EVD | 0.275984 |
| question-and-answer format | 0.244751 |
| select agents | 0.375965 |
| select agent regulations | 0.655841 |
| Clifton Rd | 0.242019 |
| Hospitalized Patients | 0.27313 |
| federal select agent | 0.293561 |
| clinical specimens | 0.245572 |
| Infection Prevention | 0.270284 |
| U.S. Hospitals | 0.270537 |
| exclusion provision | 0.238342 |
| routine patient care | 0.269432 |
| genetic material | 0.239637 |
| public health | 0.276068 |
| Contact CDC–INFO | 0.242743 |
| public confidence | 0.237776 |
| mass casualties | 0.239921 |
| additional requirements | 0.239791 |
| viral isolation | 0.238682 |
| specimens | 0.2726 |
| live-infectious Ebola virus | 0.507843 |
| select agent | 0.793183 |
| Ebola response | 0.322541 |
| APHIS/CDC Form | 0.303478 |
|
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| 12164 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | Table of Contents | CDC |
Introduction to Laboratory Methods for the Diagnosis of Meningitis. |
| MPEG | 0.392502 |
| Bacterial Meningitis Pathogens | 0.984403 |
| different file formats | 0.740995 |
| Haemophilus influenzae | 0.812139 |
| Streptococcus pneumoniae | 0.744547 |
| Characterization | 0.396541 |
| pages | 0.333319 |
|
| PDF | 0.332777 |
| Printer friendly version | 0.865452 |
| PPT | 0.434186 |
| Neisseria | 0.464787 |
| DOC | 0.386243 |
| page | 0.338503 |
| Detection | 0.335068 |
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| 12584 |
Centers for Disease Control and Prevention |
Video |
en |
Rose's Story | Tips From Former Smokers |
Rose started smoking at 13, and before long, she was spending her school lunch money on cigarettes instead of food. Her addiction to cigarettes led to lung cancer—and the fight of her life. In this video from CDC's Tips From Former Smokers campaign, Rose talks about living with cancer. She never really believed that she would get cancer from smoking—not her. Rose had chemotherapy, radiation, and surgery (twice) to fight the disease. At age 60, she died from lung cancer caused by smoking.
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=b36bef48c0db3f2bb2a7a081da251b9820140620102049358 |
| Smokers | 0.968831 |
| CDC | 0.958216 |
| Rose | 0.695906 |
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| Story | 0.693595 |
| YouTube | 0.912268 |
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| 13682 |
Centers for Disease Control and Prevention |
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Parents' Perceptions and Adherence to Children's Diet and Activity Recommendations: the 2008 Feeding Infants and Toddlers Study |
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. |
| toddlers | 0.780818 |
| healthy diet | 0.603294 |
| child’s diet | 0.675086 |
| data | 0.695013 |
| dietary guidelines | 0.613313 |
| statistics birth data | 0.603025 |
| recruitment interview | 0.600392 |
| national data gap | 0.604788 |
| children | 0.967827 |
| childhood obesity problem | 0.619926 |
| young children | 0.661421 |
| critical age group | 0.598909 |
| obesity prevention | 0.656214 |
| national data | 0.636528 |
| health care providers | 0.894245 |
| childhood obesity prevention | 0.625705 |
| Dietz W. Eating | 0.602476 |
| right weight | 0.598346 |
| infants | 0.688757 |
| National Academies Press | 0.610672 |
| weight | 0.618699 |
| preschoolers | 0.803284 |
| daily screen time | 0.761556 |
| 24-hour diet recall | 0.692472 |
| Feeding Infants | 0.650488 |
|
| child’s weight | 0.614453 |
| Mathematica Policy Research | 0.692316 |
| CrossRef | 0.609009 |
| child | 0.921238 |
| parents | 0.908852 |
| fast food | 0.661568 |
| Elk Grove Village | 0.617324 |
| age group | 0.616456 |
| dietary intake sample | 0.597992 |
| young child | 0.68276 |
| weight status | 0.613977 |
| National Cancer Institute | 0.624148 |
| sugar-sweetened beverages | 0.721092 |
| diet | 0.71096 |
| older infants | 0.608742 |
| diet recall interview | 0.631483 |
| W. Eating behaviors | 0.604816 |
| physical activity | 0.85995 |
| young preschoolers | 0.636064 |
| children’s diet | 0.622101 |
| screen time | 0.980392 |
| childhood obesity | 0.863072 |
| AAP recommendation | 0.605171 |
| American preschool children | 0.599659 |
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Centers for Disease Control and Prevention |
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Guillain-Barré Syndrome During Ongoing Zika VirusTransmission - Puerto Rico, January 1-July 31, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| flavivirus infection | 0.656236 |
| Puerto Rico Hospital | 0.390967 |
| evidence | 0.36616 |
| neurologic signs | 0.434625 |
| virus disease outbreak | 0.369582 |
| Zika virus | 0.979557 |
| public health authorities | 0.370737 |
| recent Zika virus | 0.392871 |
| GBS cases | 0.435755 |
| neurologic conditions | 0.37719 |
| GBS patients | 0.437014 |
| active Zika virus | 0.400532 |
| GBS case | 0.405086 |
| health care providers | 0.444755 |
| median age | 0.380977 |
| patients | 0.488696 |
| dengue virus | 0.39629 |
| dengue virus infections | 0.37315 |
| ongoing Zika virus | 0.411304 |
| Zika virus disease | 0.413832 |
| possible GBS | 0.426607 |
| Zika virus transmission | 0.460055 |
| Fifty-six suspected cases | 0.386225 |
| Puerto Rico | 0.787629 |
| presumptive Zika virus | 0.460515 |
|
| infection control departments | 0.360062 |
| chikungunya virus | 0.364117 |
| Zika virus infection | 0.870261 |
| GBS incidence | 0.42959 |
| Zika virus cases | 0.400183 |
| Puerto Rico Department | 0.482271 |
| local transmission | 0.369872 |
| neurologic disorders | 0.390807 |
| IgM ELISA | 0.363717 |
| GBS | 0.665933 |
| neurologic illnesses | 0.362129 |
| Zika virus infections.* | 0.400493 |
| public health | 0.412991 |
| Chemical Emergencies Laboratory | 0.360161 |
| confirmed Zika virus | 0.402636 |
| Zika virus infections | 0.400028 |
| antecedent arboviral infection | 0.369907 |
| presumptive flavivirus infection | 0.444915 |
| presumptive recent infection | 0.368313 |
| GBS Passive Surveillance | 0.472812 |
| clinical neurologic signs | 0.360833 |
| demyelinating polyneuropathy subtype | 0.360491 |
| neurologic symptoms | 0.37564 |
| GBS diagnosis | 0.40518 |
|
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Centers for Disease Control and Prevention |
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Resurgence of Progressive Massive Fibrosis in Coal Miners -Eastern Kentucky, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| coal mining | 0.555781 |
| PMF cases | 0.419711 |
| Kentucky coal miners | 0.547614 |
| coal miners | 0.877974 |
| underground coal | 0.504024 |
| standard coal workers | 0.472931 |
| active miners | 0.38125 |
| national surveillance program | 0.420668 |
| coal mining regions | 0.475691 |
| coal mining tenure | 0.482141 |
| central Appalachia | 0.384514 |
| respirable coal | 0.489803 |
| continuous miner machine | 0.427256 |
| effective dust control | 0.419571 |
| surveillance data | 0.376741 |
| routine national surveillance | 0.372837 |
| Surveillance Program participation | 0.375346 |
| U.S. coal miners | 0.597795 |
| state coal workforce | 0.464741 |
| coal workers | 0.938594 |
| public health practice | 0.372692 |
| underground coal seams | 0.468872 |
| practice-identified PMF | 0.404223 |
| Coal Mine Health | 0.506316 |
| voluntary Coal Workers | 0.484408 |
|
| low Coal Workers | 0.48414 |
| Coal Act | 0.493824 |
| machine extracts coal | 0.452717 |
| simple coal workers | 0.480765 |
| active coal miners | 0.527997 |
| coal production | 0.443758 |
| eastern Kentucky | 0.432875 |
| NIOSH Coal Workers | 0.48097 |
| seam coal mining | 0.474867 |
| progressive massive fibrosis | 0.402314 |
| PMF onset | 0.392805 |
| coal mine dust | 0.515938 |
| Federal Coal | 0.459389 |
| Surveillance Program data | 0.379763 |
| pneumoconiosis surveillance | 0.382382 |
| continuous miners | 0.383326 |
| roof bolters | 0.373425 |
| coal mining jobs | 0.470393 |
| U.S. coal mines | 0.519556 |
| PMF | 0.552982 |
| coal miner employment | 0.473957 |
| Health Surveillance Program | 0.595015 |
| small opacity profusion | 0.39641 |
| real-time respirable dust | 0.372913 |
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