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Tobacco Use - Winnable Battles |
tobacco, tobacco use, smoking, smoke, secondhand smoke |
| Winnable Battle materials | 0.60981 |
| significant impact | 0.373401 |
| United States | 0.380092 |
| adults | 0.22965 |
| premature death | 0.409929 |
| local levels | 0.361684 |
| descriptions | 0.227267 |
| additional effort | 0.375582 |
| systems | 0.227182 |
| smoking | 0.231721 |
| context | 0.229091 |
| contact ppeo | 0.36141 |
| secondhand smoke | 0.62606 |
| deaths | 0.243953 |
|
| major preventable cause | 0.583395 |
| disease worldwide. | 0.395282 |
| public health partners | 0.493223 |
| diseases | 0.229421 |
| Tobacco Winnable Battle | 0.931494 |
| nation’s health | 0.364707 |
| people | 0.250555 |
| priority area | 0.374938 |
| programmatic interventions | 0.397346 |
| background | 0.227421 |
| cost-effective strategies | 0.382102 |
| secondhand smoke exposure.CDC | 0.59108 |
| snapshot | 0.242309 |
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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 |
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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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CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - January 17, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.875873 |
| Large-scale polio vaccination | 0.502214 |
| GPEI partners | 0.363887 |
| polio eradication plans | 0.571687 |
| polio eradication | 0.995508 |
| Polio incidence | 0.478926 |
| polio outbreaks | 0.527884 |
| public health volunteers | 0.362088 |
| Polio Eradication Effort | 0.610514 |
| wild poliovirus | 0.383251 |
| vaccination campaign planning | 0.366984 |
| CDC’s Emergency | 0.381101 |
| stop program | 0.361811 |
| United Nations Children | 0.363295 |
| AFP cases | 0.357538 |
| polio eradication activities | 0.642053 |
| final push | 0.364647 |
| CDC Director Thomas | 0.4123 |
| Melinda Gates Foundation | 0.361613 |
| CDC resources | 0.375107 |
| polio worldwide | 0.498109 |
| Independent Monitoring Board | 0.358356 |
| EOC operational structure | 0.38977 |
| polio vaccination campaigns | 0.568801 |
|
| CDC’s engagement | 0.37109 |
| global polio surveillance | 0.518905 |
| entire CDC community | 0.403656 |
| Polio Eradication Initiative | 0.605559 |
| World Health Organization | 0.421364 |
| outbreak response protocols | 0.357484 |
| timely technical expertise | 0.362448 |
| polio eradication progress | 0.567296 |
| polio cases | 0.560634 |
| in-country technical expertise | 0.361858 |
| Democratic Republic | 0.36171 |
| CDC’s EOC | 0.401348 |
| polio vaccination campaign | 0.516122 |
| CDC’s polio | 0.533683 |
| Epidemiologic Record/CDC Morbidity | 0.360462 |
| enhanced capacity | 0.363123 |
| CDC polio eradication | 0.679096 |
| polio surveillance | 0.563628 |
| technical expertise | 0.366 |
| finish line | 0.360993 |
| endemic countries | 0.385193 |
| Dr. Frieden | 0.372436 |
| polio eradication efforts | 0.632264 |
|
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Centers for Disease Control and Prevention |
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2012 National Report on Biochemical Indicators of Diet and Nutrition - Executive Summary |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| health experts | 0.60406 |
| Fat-soluble vitamins | 0.61964 |
| Executive Summary | 0.581924 |
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| children | 0.527152 |
| nutrition status | 0.709363 |
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| National Health | 0.60159 |
| biochemical indicators | 0.984797 |
| population groups | 0.616952 |
| folate | 0.56915 |
| reference information | 0.572985 |
| cumulative intakes | 0.581275 |
| ongoing assessment | 0.588548 |
| women | 0.527141 |
| health significance | 0.584367 |
| excess intake | 0.579855 |
| urine concentrations | 0.609584 |
|
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| health scientists | 0.590721 |
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| nutrition biochemical indicator | 0.705415 |
| dietary supplements | 0.575412 |
| Guide future research | 0.641033 |
| various diseases | 0.574651 |
| examine levels | 0.575914 |
| non-overlapping confidence intervals | 0.643132 |
| fatty acids | 0.584026 |
| CDC scientists | 0.608008 |
| nutrient levels | 0.57907 |
| Nutrition Report | 0.66624 |
| U.S. population | 0.837325 |
| blood | 0.545824 |
| specific nutrients | 0.58426 |
| public health efforts | 0.646671 |
| policy makers | 0.581243 |
| descriptive analyses | 0.57273 |
| dietary minerals | 0.582516 |
| Trace elements | 0.581485 |
| low level | 0.578037 |
| age | 0.543656 |
| Water-soluble vitamins | 0.617896 |
|
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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 |
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| molecular methods | 0.268621 |
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| greatest risk | 0.238802 |
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| body fluids | 0.269706 |
| patient’s body | 0.257185 |
| patient care | 0.300033 |
| biological agents | 0.276348 |
|
| EVD | 0.275984 |
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| Clifton Rd | 0.242019 |
| Hospitalized Patients | 0.27313 |
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| 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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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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Centers for Disease Control and Prevention |
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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 |
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|
| Story | 0.693595 |
| YouTube | 0.912268 |
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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 |
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| recent Zika virus | 0.392871 |
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| 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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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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