| 6088 |
Centers for Disease Control and Prevention |
Html |
en |
Selenium - 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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| 6209 |
Centers for Disease Control and Prevention |
Html |
en |
Basic Information About Gynecologic Cancers |
Basic information about gynecologic cancers. |
| main types | 0.494639 |
| treatment | 0.363037 |
| disease | 0.340613 |
| woman | 0.337662 |
| vulvar | 0.357593 |
| screening test—the Pap | 0.653024 |
| gynecologic cancer | 0.98574 |
| control | 0.340338 |
| rare fallopian tube | 0.669287 |
|
| body | 0.340448 |
| cervical cancer | 0.591687 |
| cells | 0.345269 |
| ways | 0.333448 |
| signs | 0.333306 |
| gynecologic cancers | 0.801189 |
| reliable way | 0.484567 |
| test—that | 0.334718 |
|
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| 6376 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 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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| 9434 |
Centers for Disease Control and Prevention |
Html |
es |
Riesgos ecológicos exógenos de obesidad y sobrepeso en jóvenes afroamericanos en un pueblo rural del área central del sur de los Estados Unidos, 2007 |
null |
| múltiples niveles | 0.472718 |
| Scott AJ | 0.511782 |
|
| Wilson RF | 0.504612 |
| Estados Unidos | 0.950849 |
|
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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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| 12725 |
Centers for Disease Control and Prevention |
Video |
en |
Hidden Sodium |
Source: National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)
Running Time: (1:03) Release Date: 01/31/2013
Reducing sodium intake by knowing what to eat and main sources of sodium in the diet is important for a healthy lifestyle. Most sodium consumed is in the form of salt, and the majority of that is consumed in processed and restaurant foods. Too much sodium is bad for your health and can increase your blood pressure and your risk for a heart attack and stroke. Watch this short, fun, informative video and learn how to live a healthier life.
https://sites.google.com/site/livewildordie/
https://www.facebook.com/groups/parks4pres/
https://www.youtube.com/user/omacron
https://twitter.com/Parks2016 |
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| 14355 |
Centers for Disease Control and Prevention |
Html |
en |
Advice to Consumers | Listeriosis Linked to Raw Milk Produced by Miller's Organic Farm in Pennsylvania |
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| yogurt | 0.390678 |
| high enough temperature | 0.460414 |
| dangers | 0.329678 |
| CDC | 0.329344 |
| Pasteurization | 0.342453 |
| adults | 0.32978 |
| Raw Milk website | 0.690855 |
| recommendation | 0.334642 |
| drinking raw milk | 0.694041 |
| bottle | 0.3292 |
| soft cheese | 0.650002 |
| long enough time | 0.46188 |
| Campylobacter infection | 0.506391 |
| Salmonella infection | 0.496392 |
| Contact your healthcare | 0.451564 |
| ice cream | 0.644542 |
| pregnant women | 0.471854 |
| signs | 0.387892 |
| children | 0.329878 |
|
| harmful bacteria | 0.483866 |
| immune systems | 0.470934 |
| outbreak | 0.340262 |
| raw milk | 0.965288 |
| E. coli | 0.614656 |
| higher risk | 0.467407 |
| process | 0.328888 |
| reminder | 0.33726 |
| cows | 0.331599 |
| Food Safety | 0.448676 |
| people | 0.422161 |
| severe health risks | 0.592725 |
| symptoms | 0.387814 |
| foodborne illness | 0.474305 |
| heating milk | 0.593534 |
| raw dairy products | 0.590674 |
| investigation | 0.334957 |
| dangerous bacteria | 0.641141 |
| dairy products | 0.807702 |
|
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| 15790 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 16382 |
Centers for Disease Control and Prevention |
Html |
en |
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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