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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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Centers for Disease Control and Prevention |
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Acrolein - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6987 |
Centers for Disease Control and Prevention |
Html |
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Global Health - Uganda |
CDC’s partnership with Uganda dates to 1991 when the agency began HIV/AIDS research in the country. CDC continues to partner with the Ministry as well as more than two dozen local organizations in provision of health services. |
| CDC | 0.730526 |
| hemorrhagic fevers | 0.352768 |
| Uganda’s Prevention | 0.488941 |
| unique health issues | 0.405167 |
| public health authorities | 0.38981 |
| effective national sample | 0.347427 |
| infectious disease threats | 0.342884 |
| Population-based HIV Impact | 0.389835 |
| public health workforces | 0.383875 |
| BSL-3 reference laboratory | 0.35139 |
| Valley fever virus | 0.349377 |
| complex public health | 0.385574 |
| Uganda Virus Research | 0.54043 |
| high-profile disease outbreaks | 0.364682 |
| Crimean-Congo hemorrhagic fever | 0.363379 |
| Uganda National Health | 0.643045 |
| pediatric HIV programs | 0.368844 |
| quality health services | 0.427631 |
| TB/HIV co-infected clients | 0.34315 |
| Frontline Disease Detectives | 0.348303 |
| HIV services | 0.340929 |
| International Health Regulations | 0.366368 |
| uninterrupted drug treatment | 0.33999 |
| global health security | 0.402631 |
| child health services | 0.426682 |
|
| yellow fever detection | 0.343494 |
| yellow fever | 0.491026 |
| rift valley fever | 0.479425 |
| medical male circumcisions | 0.342296 |
| laboratory services | 0.401219 |
| healthcare-facility-based malaria diagnostics | 0.365495 |
| National Malaria Control | 0.382189 |
| public health threats | 0.517306 |
| Uganda MOH | 0.571162 |
| not-for-profit healthcare facilities | 0.345412 |
| public health emergency | 0.385752 |
| Uganda’s ability | 0.539643 |
| public health | 0.877853 |
| quality laboratory services | 0.374732 |
| infectious disease surveillance | 0.344768 |
| Marburg hemorrhagic fevers | 0.342799 |
| basic laboratory detection | 0.342943 |
| local public health | 0.482554 |
| individual VHF outbreaks | 0.359809 |
| science-based public health | 0.430206 |
| infectious disease | 0.382695 |
| viral hemorrhagic fevers | 0.34885 |
| Uganda | 0.92172 |
| Uganda Public Health | 0.661354 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Association Between Self-Reported Household Practices and Body Mass Index of US Children and Adolescents, 2005 - CDC |
Parents can set household practices that influence children’s behaviors. The objective of this study was to determine whether children (children and adolescents aged 9–18 y) who live in a household that has healthful practices related to behaviors associated with obesity have a lower body mass index (BMI). |
| Louise C. Mâsse | 0.390737 |
| somewhat active families | 0.377052 |
| ConsumerStyles survey | 0.376757 |
| children’s behaviors | 0.463762 |
| panel members | 0.431244 |
| lower BMI | 0.372685 |
| self-reported BMI | 0.881091 |
| Styles mail panel | 0.415146 |
| television watching | 0.801493 |
| television watching behaviors | 0.426526 |
| 85th percentile | 0.403841 |
| high BMI | 0.375854 |
| children | 0.856582 |
| school | 0.4873 |
| self-reported BMI percentiles | 0.422595 |
| snacks | 0.420586 |
| healthful household practices | 0.42052 |
| vigorous physical activity | 0.416664 |
| mail panel survey | 0.416395 |
| household practices | 0.923842 |
| adolescents | 0.415251 |
| behaviors | 0.525583 |
| body mass index | 0.423438 |
| purchase fewer sodas | 0.383436 |
| YouthStyles surveys | 0.383197 |
|
| sodas | 0.453172 |
| junk food restrictions | 0.615976 |
| BMI percentile categories | 0.610524 |
| higher self-reported BMI | 0.463402 |
| 95th percentile | 0.407197 |
| parents | 0.400716 |
| VPA | 0.450293 |
| household variables | 0.373327 |
| adolescent television watching | 0.401987 |
| white children | 0.38387 |
| active families | 0.499027 |
| National Cancer Institute | 0.488361 |
| healthful practices | 0.381148 |
| lower self-reported BMI | 0.43188 |
| effective sample size | 0.39952 |
| fast-food restaurants | 0.696501 |
| purchasing sodas | 0.389491 |
| annual household income | 0.391516 |
| household practice model | 0.387775 |
| physical activity | 0.636568 |
| household profile | 0.372113 |
| HealthStyles survey | 0.382642 |
| self-reported BMI percentile | 0.566116 |
| multiple household practices | 0.439118 |
|
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| 7931 |
Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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National Black HIV/AIDS Awareness Day - February 7, 2014 |
February 7 is National Black HIV/AIDS Awareness Day, an observance intended to raise awareness of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) and encourage action to reduce the disproportionate impact of HIV/AIDS on blacks in the United States. Compared with other races and ethnicities, blacks had the highest HIV incidence in 2010, with an estimated rate of 68.9 per 100,000 population, nearly eight times the estimated rate of 8. |
| National Black HIV/AIDS | 0.94336 |
| CDC | 0.51695 |
| endorsement | 0.278915 |
| observance | 0.236518 |
| Human Services | 0.842252 |
| blacks | 0.400418 |
| MMWR HTML versions | 0.505039 |
| U.S. Department | 0.486606 |
| whites | 0.272907 |
| electronic PDF version | 0.4982 |
| action | 0.234998 |
| highest HIV incidence | 0.70928 |
| Contact GPO | 0.399131 |
| commercial sources | 0.375194 |
| current prices | 0.367457 |
| ethnicities | 0.247353 |
| original paper copy | 0.505083 |
| races | 0.234722 |
| Black HIV/AIDS Awareness | 0.94318 |
| disproportionate impact | 0.429751 |
| surveillance supplemental report | 0.862144 |
| care objectives | 0.375666 |
| human immunodeficiency | 0.444424 |
| United States | 0.778848 |
|
| original MMWR paper | 0.499598 |
| Information | 0.265339 |
| MMWR readers | 0.375049 |
| character translation | 0.367169 |
| times | 0.234513 |
| highest percentage | 0.404914 |
| Atlanta | 0.26167 |
| rate | 0.258301 |
| national HIV prevention | 0.637034 |
| immunodeficiency syndrome | 0.437121 |
| HIV surveillance | 0.823873 |
| GA | 0.260208 |
| end | 0.234272 |
| format errors | 0.366006 |
| Health | 0.320447 |
| typeset documents | 0.372689 |
| trade names | 0.375328 |
| official text | 0.365211 |
| No. | 0.265295 |
| non-CDC sites | 0.370498 |
| Vol. | 0.265344 |
| References | 0.264198 |
| electronic conversions | 0.362089 |
| printable versions | 0.358096 |
|
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Centers for Disease Control and Prevention |
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CDC Global Health - Immunization - Vaccine Research Will Accelerate Eradication of Polio |
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| 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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CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - May 16, 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 | 0.81272 |
| polio eradication plans | 0.48465 |
| polio eradication | 0.97318 |
| Polio incidence | 0.335077 |
| polio outbreaks | 0.403367 |
| Polio Eradication Effort | 0.545111 |
| CDC’s Emergency | 0.232452 |
| polio vaccination | 0.39887 |
| South East Asia | 0.23873 |
| polio eradication activities | 0.585871 |
| CDC Director Thomas | 0.274724 |
| CDC resources | 0.220755 |
| polio worldwide | 0.364458 |
| EOC operational structure | 0.231473 |
| CDC immunization staff | 0.245061 |
|
| polio vaccination campaigns | 0.391195 |
| CDC’s engagement | 0.214043 |
| global polio surveillance | 0.387567 |
| entire CDC community | 0.261144 |
| Polio Eradication Initiative | 0.536525 |
| World Health Organization | 0.347447 |
| Syrian Arab Republic | 0.263598 |
| polio eradication progress | 0.479484 |
| polio cases | 0.400493 |
| CDC’s EOC | 0.262582 |
| polio vaccination campaign | 0.38509 |
| CDC’s polio | 0.428538 |
| CDC polio eradication | 0.652426 |
| polio surveillance | 0.448405 |
| Dr. Frieden | 0.256021 |
|
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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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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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