| 1237 |
Centers for Disease Control and Prevention |
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Skin Cancer Awareness |
Skin cancer is the most common cancer in the United States. To lower your skin cancer risk, protect your skin from the sun and avoid indoor tanning. |
| skin cancer risk | 0.658146 |
| skin cancer | 0.942786 |
| UV rays | 0.773893 |
| Unprotected skin | 0.541821 |
| skin cancer prevention | 0.616362 |
| Indoor tanning exposes | 0.5834 |
| SPF | 0.424691 |
| Sun Proof | 0.503608 |
| fun outdoors | 0.502988 |
| Wear sunglasses | 0.507633 |
| common sign | 0.494785 |
| damage skin | 0.530851 |
| fact sheets list | 0.579839 |
| recreation staff | 0.494891 |
| midday | 0.427368 |
| Kidtastics talk | 0.495032 |
| shade | 0.424071 |
| mole | 0.41791 |
| different types | 0.519842 |
| sore | 0.421473 |
| clothing | 0.419464 |
| UVB rays | 0.695711 |
| broad spectrum | 0.504726 |
| UVA | 0.482252 |
| sunscreen | 0.436985 |
|
| United States | 0.519977 |
| wide brim | 0.517388 |
| anybody | 0.419241 |
| indicates damage | 0.507285 |
| head | 0.418708 |
| common cancer | 0.529092 |
| sun protection factor | 0.603548 |
| podcast | 0.433969 |
| higher risk | 0.497316 |
| cases | 0.420256 |
| harmful effects | 0.49822 |
| change | 0.449256 |
| hard way | 0.499247 |
| Plan | 0.417831 |
| easy ways | 0.495713 |
| McKenna | 0.419412 |
| ears | 0.42083 |
| Cover | 0.419478 |
| layered approach | 0.500233 |
| new growth | 0.498664 |
| sun exposure | 0.513641 |
| time | 0.434559 |
| sweating | 0.425548 |
| melanoma survivor Sharon | 0.597035 |
|
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| 7931 |
Centers for Disease Control and Prevention |
Html |
en |
Thrombotic Thrombocytopenic Purpura TTP-Like IllnessAssociated with Intravenous Opana ER Abuse - Tennessee,2012 |
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. |
| medical charts | 0.457177 |
| injection-drug abuse | 0.460683 |
| microangiopathic hemolytic anemia | 0.572843 |
| odds ratio | 0.485784 |
| TDH interview | 0.458751 |
| drug abuse | 0.520711 |
| regional poison center | 0.457512 |
| case-control study | 0.519003 |
| platelet aggregation inhibitors | 0.463496 |
| recent injection | 0.491689 |
| median admission platelet | 0.470384 |
| patients | 0.577631 |
| urine drug test | 0.459784 |
| Opana ER abuse | 0.577633 |
| patient Opana ER | 0.5252 |
| northeast tennessee | 0.495177 |
| public health officials | 0.463878 |
| methadone clinic | 0.457246 |
| hospital admission platelet | 0.460018 |
| certain previous cases | 0.461154 |
| new formulation | 0.510313 |
| positive test results | 0.457437 |
| Public Health Response | 0.461032 |
| hospital admission | 0.489644 |
|
| infection | 0.491798 |
| health-care providers | 0.506041 |
| Opana ER | 0.93349 |
| clinical characteristics | 0.464262 |
| median activity level | 0.467223 |
| Tennessee Regional Health | 0.46529 |
| TDH | 0.498242 |
| extended-release form | 0.459003 |
| public health | 0.464055 |
| cases | 0.501186 |
| TDH interviews | 0.46039 |
| blood disorder | 0.460337 |
| unknown etiology | 0.484464 |
| intravenous drug users | 0.460213 |
| thrombotic thrombocytopenic purpura | 0.576428 |
| drug monitoring programs | 0.460374 |
| extended-release opioid analgesic | 0.460304 |
| opioid pain reliever | 0.555114 |
| abuse treatment programs | 0.45918 |
| TTP-like illness | 0.769447 |
| rural county | 0.463713 |
| injection | 0.501037 |
| anti-HCV antibody | 0.461262 |
| drug users | 0.465316 |
|
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| 7960 |
Centers for Disease Control and Prevention |
Html |
en |
Health Care Needs of Children with Tourette Syndrome - NCBDDD |
Key Findings: Health Care Needs of Children with Tourette Syndrome |
| neurobehavioral condition | 0.37155 |
| educational programs | 0.361303 |
| Emory University | 0.372107 |
| obsessive-compulsive disorder.1,2,5,6 | 0.364227 |
| Child Neurology. | 0.40074 |
| R. Health care | 0.443089 |
| health risk behaviors | 0.437547 |
| general health | 0.390266 |
| health outcomes | 0.384366 |
| face challenges | 0.362882 |
| Disease Control | 0.431093 |
| following text | 0.365844 |
| conduct problem | 0.36573 |
| children | 0.514956 |
| future research | 0.361232 |
| behavioral condition | 0.371057 |
| tourette syndrome | 0.775749 |
| Mortality Weekly Report. | 0.405616 |
| autism spectrum disorder | 0.415428 |
| chronic condition | 0.374647 |
| Tourette Health | 0.418067 |
| education programs | 0.361802 |
| social relationships | 0.363039 |
| Tourette Syndrome Association | 0.454516 |
|
| TS increases | 0.573983 |
| CDC works | 0.369297 |
| von Knorring A-L | 0.410162 |
| Child Neurology | 0.375429 |
| TS experience | 0.576447 |
| developmental delay | 0.36217 |
| health care needs | 0.999646 |
| co-occurring condition | 0.45551 |
| Swedish school population | 0.406341 |
| Early identification | 0.362578 |
| Children’s Health | 0.426117 |
| developmental condition | 0.36744 |
| NSCH data | 0.362863 |
| specific health conditions | 0.446953 |
| co-occurring conditions | 0.499001 |
| health services | 0.383454 |
| tic disorders | 0.406173 |
| National Survey | 0.372578 |
| attention-deficit/hyperactivity disorder | 0.366609 |
| vocal tics | 0.364615 |
| attention-deficit/ hyperactivity disorder | 0.422436 |
| Public health significance | 0.425091 |
| public health efforts | 0.433858 |
| greater health care | 0.554905 |
|
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| 10076 |
Centers for Disease Control and Prevention |
Html |
en |
Silica, Engineering Controls for Silica in Construction - Cut-off Saws - NIOSH Workplace Safety and Health Topic |
This NIOSH Topic Page presents information and links to other resources about Silica and Silicosis, and provides information to help workers protect themselves from occupational exposure to Silica. |
| Water Controls video | 0.441835 |
| dust exposures | 0.459569 |
| Vacuum Controls video | 0.41547 |
| cut-off saw | 0.820992 |
| 2-inch diameter hose | 0.333287 |
| cut-off saws | 0.520691 |
| dust plume | 0.431703 |
| flow rate | 0.423812 |
| masonry materials | 0.287203 |
| water attachments | 0.286109 |
| local exhaust ventilation | 0.488309 |
| concrete slabs | 0.28683 |
| hand-held concrete saws | 0.371017 |
| gasoline-powered saws.Water | 0.284704 |
| exhaust hood | 0.287465 |
| air flow rate | 0.340015 |
| hand-held abrasive cutters | 0.361556 |
| dust | 0.900038 |
| flexible hose.The vacuum | 0.343645 |
| respirable crystalline silica | 0.420452 |
| effective dust control | 0.500841 |
| cut-off saw.The | 0.394284 |
| high-efficiency particulate air | 0.34302 |
| concrete block | 0.281764 |
| portable pressurized tank | 0.345624 |
|
| source.Both types | 0.279772 |
| adequate air flow | 0.33615 |
| best results.Adjustable hoods | 0.339669 |
| quickie saws | 0.324541 |
| different cutting depths | 0.341326 |
| Engineering Controls video | 0.461796 |
| cubic meter | 0.286909 |
| .Less water | 0.288666 |
| vacuum source | 0.280771 |
| chop saws | 0.322487 |
| Controls video | 0.576078 |
| pressure gauge | 0.343981 |
| potential exposure | 0.292945 |
| previous video | 0.285648 |
| water method | 0.278072 |
| control uses | 0.281727 |
| filter replacement indicator | 0.328935 |
| dust control.Electric-powered saws | 0.547443 |
| dust controls.The worker | 0.569335 |
| dust suppression | 0.505475 |
| dust emissions.Water | 0.454759 |
| respirable dust exposure | 0.842803 |
| industrial vacuum | 0.284386 |
| Sufficient flow rate | 0.338862 |
|
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| 10119 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Immunization - Vaccine Research Will Accelerate Eradication of Polio |
null |
| high-risk areas | 0.368178 |
| vaccine-derived poliovirus type | 0.429188 |
| short interval vaccination | 0.528651 |
| Monovalent OPV types | 0.453714 |
| vaccination coverage | 0.381481 |
| early 1960s | 0.380476 |
| polio circulation | 0.559516 |
| national immunization programs | 0.44927 |
| Global Polio Eradication | 0.629977 |
| weak immunization systems | 0.457967 |
| Dr. Estivariz | 0.365357 |
| trivalent opv | 0.513302 |
| mutated strain | 0.382211 |
| successful vaccination programs | 0.448139 |
| paralysis | 0.343772 |
| countries | 0.376844 |
| WPV worldwide | 0.37017 |
| unnecessary cases | 0.368596 |
| Diarrheal Disease Research | 0.433365 |
| interval vaccination approach | 0.452467 |
| Endgame Strategic Plan | 0.548892 |
| immunization campaigns | 0.378646 |
| debilitating disease | 0.368289 |
| endemic countries | 0.373481 |
| polio faster. | 0.536456 |
|
| scientific community | 0.365279 |
| wild poliovirus | 0.379089 |
| Interval Additional Dose | 0.446007 |
| new research | 0.369005 |
| 21st century | 0.373068 |
| deadly infectious disease | 0.432597 |
| bivalent opv | 0.523639 |
| Polio Eradication | 0.699466 |
| public health victories | 0.438996 |
| long-standing demographic surveillance | 0.425242 |
| quality scientific evidence | 0.426712 |
| important accomplishment | 0.375439 |
| effective policies | 0.366901 |
| different oral polio | 0.619197 |
| Wild type | 0.382955 |
| International Centre | 0.370074 |
| respective strain | 0.378313 |
| routine immunization programs | 0.435299 |
| oral polio vaccine | 0.607358 |
| Dr. Conchi Estivariz | 0.426636 |
| population immunity levels | 0.422317 |
| vaccine-derived poliovirus | 0.484707 |
| wild polio virus | 0.625542 |
| oral polio vaccines | 0.904885 |
|
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Centers for Disease Control and Prevention |
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Disease Detective: David Kuhar - CDC Responds to the 2014 Ebola Outbreak |
Kuhar, an infectious disease specialist, leads the CDC team responsible for healthcare worker safety during the current Ebola outbreak in West Africa. |
| moon suits | 0.467046 |
| staff practice | 0.461165 |
| hospital settings | 0.46853 |
| Dr. David Kuhar | 0.675678 |
| healthcare worker safety | 0.659909 |
| hospital staff | 0.474137 |
| eye protection | 0.469848 |
| infectious diseases | 0.629286 |
| Additional equipment | 0.479799 |
| infection prevention procedures | 0.63664 |
| CDC’s FAQ | 0.473632 |
| Ebola outbreak | 0.849878 |
| single-person room | 0.472777 |
| important message | 0.475944 |
| unfamiliar equipment | 0.489579 |
| certain situations | 0.463075 |
| U.S. healthcare personnel | 0.645427 |
| Safe Management | 0.45757 |
| face mask | 0.462748 |
| personal protective equipment | 0.632628 |
| MERS-Coronavirus outbreak | 0.526188 |
| body fluids | 0.615195 |
| additional precautions | 0.501263 |
| face shield | 0.463133 |
| patient care procedures | 0.591045 |
|
| young boys | 0.493527 |
| PPE | 0.39247 |
| affected area | 0.454009 |
| infection control | 0.491233 |
| eyes | 0.353753 |
| leg protection | 0.46764 |
| mucous membranes | 0.470045 |
| double gloves | 0.468913 |
| unfamiliar gear | 0.483751 |
| CDC team | 0.51085 |
| disposable shoe coverings | 0.606524 |
| great deal | 0.454771 |
| post-exposure services | 0.47096 |
| infectious disease specialist | 0.66287 |
| healthcare teams | 0.480022 |
| current Ebola outbreak | 0.841535 |
| blood | 0.356204 |
| infected person | 0.452406 |
| spread | 0.358894 |
| Ebola patient | 0.624175 |
| mouth | 0.360982 |
| controlled environments | 0.460824 |
| West Africa | 0.824392 |
| healthcare workers | 0.470237 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Lessons Learned From a Healthful Vending Pilot Program in Delaware State Agency Buildings, 2011"2012 - CDC |
Changes in food availability in worksites can result in changes in eating behavior and weight status. Nemours Health and Prevention Services, in conjunction with partners in Delaware, conducted a 6-month pilot program to assess the feasibility and impact of requiring that 75% of the items in vending machines in 3 state agency buildings have healthful items. |
| beverage items | 0.546993 |
| monthly sales reports | 0.488417 |
| data | 0.47066 |
| pilot sites | 0.579493 |
| healthful product taste | 0.484393 |
| total calories | 0.536001 |
| food machines | 0.472864 |
| Slow food items | 0.500012 |
| potential new items | 0.479675 |
| healthful options | 0.470812 |
| healthful items | 0.698713 |
| Delaware state agency | 0.479046 |
| new items | 0.489201 |
| state agency buildings | 0.525025 |
| beverages | 0.492735 |
| healthful beverages | 0.479957 |
| pilot program | 0.903081 |
| healthful eating | 0.475344 |
| Prevention Services | 0.52718 |
| healthful product offerings | 0.483395 |
| healthful vending specifications | 0.507127 |
| healthful alternatives | 0.473223 |
| healthful food purchases | 0.495041 |
| conventional vending machines | 0.495974 |
| pilot program site | 0.515474 |
|
| Slow beverages | 0.490543 |
| items | 0.717845 |
| Business Enterprise Program | 0.689515 |
| northern pilot program | 0.49133 |
| 6-month healthful food | 0.51109 |
| beverage vending program | 0.510026 |
| 6-month pilot program | 0.50501 |
| monthly profits | 0.471061 |
| vending machine operators | 0.473256 |
| Slow foods | 0.515592 |
| healthful vended items | 0.530388 |
| Canteen Vending Services | 0.478326 |
| daily total calories | 0.47502 |
| public health | 0.629226 |
| food machine | 0.473433 |
| northern site | 0.481576 |
| Nemours Healthy Vending | 0.469136 |
| food | 0.526871 |
| Slow items | 0.506533 |
| beverage machines | 0.55759 |
| southern site | 0.512002 |
| southern pilot program | 0.492845 |
| machines | 0.594714 |
| Nemours Health | 0.532116 |
|
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| 12546 |
Centers for Disease Control and Prevention |
Video |
en |
Climate Change and Health - From Science to Practice | Video |
Changes occurring in the world’s climate pose significant threats to human health and wellbeing and will have even greater impacts in the future. These threats are wide-ranging, including decreased air quality and increases in extreme weather events, wildfire, and illnesses transmitted by water, and disease-carriers, such as mosquitoes and ticks.
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://www.cdc.gov/cdcgrandrounds/video/2014/GR_12-16-2014.wmv |
| CDC Grand Rounds | 0.969405 |
| Climate Change | 0.732835 |
| Health | 0.417819 |
|
| Science | 0.417384 |
| Practice | 0.417095 |
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| 16074 |
Centers for Disease Control and Prevention |
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Notes from the Field: Outbreak of Zika Virus Disease -American Samoa, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Arboviral Diseases Branch | 0.462678 |
| overall incidence | 0.451443 |
| Human Services | 0.474518 |
| Zika virus | 0.982232 |
| Hawaii Department | 0.532499 |
| off-island testing | 0.451483 |
| recent Zika virus | 0.618842 |
| pregnant women | 0.789839 |
| Immunization Services Branch | 0.436039 |
| electronic PDF version | 0.433031 |
| multiple public health | 0.476483 |
| Zoonotic Infectious Diseases | 0.527742 |
| currently pregnant women | 0.488432 |
| local laboratory capacity | 0.466889 |
| CDC staff members | 0.526035 |
| arboviral disease control | 0.475506 |
| Zika virus disease | 0.664507 |
| San Diego Health | 0.470263 |
| Health State Laboratories | 0.463679 |
| transcription–polymerase chain reaction | 0.570061 |
| Zika virus transmission | 0.520506 |
| laboratory-confirmed Zika virus | 0.568596 |
| Human Services Agency | 0.439321 |
| syndromic surveillance | 0.452684 |
| electronic health record | 0.49579 |
|
| prenatal health clinics | 0.48574 |
| mosquito-borne flavivirus infection | 0.48574 |
| 1Epidemic Intelligence Service | 0.432284 |
| Zika prevention kits | 0.468196 |
| original MMWR paper | 0.437195 |
| American Samoa | 0.795377 |
| American Samoa Department | 0.533066 |
| Zika virus infection | 0.763578 |
| earlier prenatal care | 0.444469 |
| vector source reduction | 0.4505 |
| health care clinics | 0.500382 |
| severe brain defects | 0.454513 |
| Zika virus infections | 0.524466 |
| virus disease cases | 0.550379 |
| dengue virus infection | 0.535254 |
| medical record review | 0.438916 |
| health | 0.514364 |
| clinic fee waivers | 0.433228 |
| Public Health Preparedness | 0.471217 |
| Health Officer | 0.467764 |
| 8Pacific Islands Health | 0.468523 |
| Pacific Island Health | 0.49214 |
| enzyme-linked immunosorbent assay | 0.443267 |
| acute febrile rash | 0.463789 |
|
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| 16459 |
Centers for Disease Control and Prevention |
Html |
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Marijuana Use Among 10th Grade Students - Washington, 2014 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| school performance | 0.477601 |
| retail marijuana | 0.655642 |
| current marijuana | 0.650943 |
| medical marijuana | 0.707959 |
| marijuana | 0.921027 |
| binge drinking | 0.366271 |
| public school students | 0.395447 |
| lower intelligence quotient | 0.440261 |
| medical marijuana sales | 0.578763 |
| marijuana question | 0.573484 |
| recreational marijuana | 0.648971 |
| brain development | 0.377438 |
| public schools | 0.429535 |
| poor school performance | 0.421905 |
| Indian/Alaska Native students | 0.397723 |
| national level estimates | 0.366952 |
| nonmarijuana users | 0.369602 |
| response rate | 0.394461 |
| non-Hispanic American Indian/Alaska | 0.373355 |
| mental health effects | 0.382048 |
| state-level marijuana | 0.594491 |
| Washington State Department | 0.468479 |
| marijuana taxes | 0.548954 |
| public health practice | 0.379445 |
| youth marijuana initiation | 0.657385 |
|
| sustainable public health | 0.377459 |
| prevention strategies | 0.368937 |
| Tenth-grade marijuana users | 0.594081 |
| marijuana users | 0.752014 |
| youth marijuana | 0.742159 |
| commonly reported means | 0.392667 |
| Washington State Office | 0.372241 |
| marijuana use exist | 0.593826 |
| marijuana indoors | 0.549694 |
| lower academic retention | 0.369481 |
| youth access | 0.370668 |
| current marijuana users | 0.630684 |
| youths | 0.385343 |
| Washington students | 0.369805 |
| grade students | 0.565898 |
| marijuana access | 0.592867 |
| Washington 10th grade | 0.368819 |
| grade marijuana users | 0.641353 |
| past 30-day marijuana | 0.610987 |
| 30-day marijuana | 0.676256 |
| Healthy Youth Survey | 0.378034 |
| past 30-day cigarette | 0.373153 |
| marijuana use prevalence | 0.606889 |
| Regular marijuana | 0.553472 |
|
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