| 4904 |
Centers for Disease Control and Prevention |
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Meningitis |
Meningitis is a disease caused by the inflammation of the protective membranes covering the brain and spinal cord known as the meninges. The inflammation is usually caused by an infection of the fluid surrounding the brain and spinal cord. Meningitis is also referred to as spinal meningitis. |
| vaccine recommendations | 0.357793 |
| specific cause | 0.384135 |
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| injuries | 0.311502 |
| warm water | 0.362246 |
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| immediate medical attention | 0.418079 |
| parasitic meningitis | 0.564411 |
| vaccination resources | 0.359867 |
| swelling | 0.319235 |
| bloodstream infections | 0.363072 |
| different types | 0.355694 |
| meningococcal disease | 0.484089 |
| Neisseria | 0.315306 |
| cancers | 0.31182 |
| certain drugs | 0.432318 |
| fungal meningitis | 0.565981 |
| treatment | 0.312348 |
| viral infection | 0.393266 |
| vaccines | 0.329359 |
| free-living microscopic ameba | 0.415706 |
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| kinds | 0.325718 |
| protective membranes | 0.371448 |
| head injury | 0.361795 |
| systemic lupus erythematosus | 0.419655 |
| ways | 0.311631 |
| Various parasites | 0.364262 |
| inflammation | 0.314936 |
| bacterial meningitis | 0.787077 |
| close contact | 0.358576 |
| Naegleria fowleri | 0.443266 |
| spinal cord | 0.430769 |
| higher risk | 0.36285 |
| meningitis | 0.983621 |
| brain surgery | 0.359826 |
| common examples | 0.355415 |
| brain | 0.369765 |
| Primary amebic meningoencephalitis | 0.423352 |
| people | 0.39667 |
| certain medical conditions | 0.419299 |
| Certain germs | 0.375823 |
| environment | 0.311825 |
| common causes | 0.354626 |
| cancer | 0.325965 |
| fungal spores | 0.366997 |
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| 4980 |
Centers for Disease Control and Prevention |
Html |
en |
Establishing worksite wellness programs for North Carolina government employees, 2008 |
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| North Carolina | 0.540093 |
| wellness infrastructure | 0.384433 |
| wellness oversight committee | 0.389433 |
| worksite wellness interventions | 0.513652 |
| sustainable wellness programs | 0.342731 |
| state worksite wellness | 0.47151 |
| state agencies | 0.372018 |
| state government wellness | 0.37337 |
| new worksite wellness | 0.431487 |
| future wellness policy | 0.342804 |
| worksite wellness | 0.986232 |
| OSP worksite wellness | 0.426155 |
| comprehensive worksite wellness | 0.452329 |
| key state agencies | 0.345904 |
| wellness programs | 0.737677 |
| evidence-based wellness interventions | 0.358701 |
| DHHS wellness program | 0.380585 |
| evidence-based worksite wellness | 0.439861 |
| worksite wellness program | 0.528106 |
| employee wellness programs | 0.458951 |
| wellness advisory committee | 0.395312 |
| wellness committee work | 0.352311 |
| DHHS wellness council | 0.348486 |
| state employee wellness | 0.364984 |
| effective worksite wellness | 0.476511 |
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| state government | 0.510967 |
| wellness policy approval | 0.338919 |
| wellness committees | 0.339636 |
| pilot wellness interventions | 0.360983 |
| state agency wellness | 0.356607 |
| DHHS wellness director | 0.408129 |
| employee wellness program | 0.348649 |
| employee wellness infrastructure | 0.360643 |
| public health | 0.358212 |
| state health plan | 0.823253 |
| wellness activities | 0.398381 |
| state employees | 0.418877 |
| worksite weight management | 0.361913 |
| worksite wellness programs | 0.7071 |
| wellness policy development | 0.410428 |
| worksite wellness advisory | 0.381568 |
| wellness vendors | 0.340325 |
| wellness policy recommendations | 0.346253 |
| large worksite wellness | 0.394737 |
| worksite wellness policy | 0.803651 |
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| effective wellness programs | 0.358811 |
| worksite wellness tool | 0.39804 |
| employee wellness | 0.45947 |
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| 5250 |
Centers for Disease Control and Prevention |
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Dietary Behaviors Associated With Fruit and Vegetable Consumption, Marion County, Indiana, 2005 |
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| adequate placement | 0.398065 |
| demographic characteristics | 0.47296 |
| data | 0.493252 |
| adequate versus fruit | 0.46246 |
| vegetable adequacy | 0.399177 |
| vegetable consumption | 0.946323 |
| basal metabolic rate | 0.497286 |
| adequate exercise data | 0.431822 |
| adequate consumption | 0.54918 |
| food label | 0.403062 |
| adequate fruit | 0.447176 |
| fruit adequate | 0.431401 |
| inadequate consumption | 0.436971 |
| moderate daily activity | 0.494316 |
| frequent healthful snacking | 0.393551 |
| HEI-2005 maximum score | 0.75658 |
| adequate only groups | 0.395281 |
| adequate fruits | 0.419291 |
| demographic variables | 0.439228 |
| smoking status | 0.398994 |
| healthful snacking | 0.445593 |
| vegetable adequate | 0.426761 |
| adequate amounts | 0.440316 |
| adequate only consumers | 0.394513 |
| total caloric consumption | 0.434448 |
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| consumption data | 0.429019 |
| referent group | 0.401344 |
| adequate category | 0.397195 |
| dietary behaviors | 0.472302 |
| fruit | 0.713942 |
| red meat consumption | 0.539889 |
| Healthy Eating Index | 0.396921 |
| Marion County | 0.440925 |
| vegetables | 0.672898 |
| red meat | 0.549324 |
| Bowen Research Center | 0.432318 |
| fresh fruit | 0.405152 |
| fruits | 0.526913 |
| Healthy Eating Index-2005 | 0.44415 |
| adequate consumption grouping | 0.465759 |
| random-digit–dialed telephone survey | 0.399332 |
| food consumption data | 0.423432 |
| inadequate group | 0.474992 |
| food | 0.468298 |
| adequate groups | 0.3967 |
| adequate group | 0.530425 |
| inadequate consumption group | 0.418918 |
| median value | 0.406726 |
| self-reported height | 0.428574 |
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| 5377 |
Centers for Disease Control and Prevention |
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FASD - Facts |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| Good treatment plans | 0.249333 |
| State Resource Directory | 0.245928 |
| child psychologist | 0.202155 |
| American Psychiatric Association | 0.251025 |
| Alcohol-Related Neurodevelopmental Disorder | 0.282197 |
| stable home environment | 0.241321 |
| free evaluation | 0.25236 |
| physical problems | 0.244501 |
| Child Find evaluation | 0.207935 |
| protective factors | 0.232574 |
| alcohol-related birth defects | 0.417545 |
| intellectual disabilities | 0.264543 |
| growth problems | 0.227398 |
| Neurobehavioral Disorder Associated | 0.258643 |
| term fetal alcohol | 0.439931 |
| small head size | 0.410998 |
| fetal alcohol effects | 0.635652 |
| alcoholic drinks | 0.241136 |
| fetal alcohol syndrome | 0.787848 |
| woman drinking alcohol | 0.448567 |
| Low body weight | 0.261579 |
| term FASDs | 0.207997 |
| hearing problems | 0.226247 |
| fetal alcohol | 0.919056 |
|
| Hyperactive behavior | 0.20244 |
| FASDs | 0.334527 |
| Fetal alcohol spectrum | 0.484223 |
| upper lip | 0.262166 |
| early intervention treatment | 0.26273 |
| poor impulse control | 0.257778 |
| early intervention | 0.374797 |
| prenatal alcohol exposure | 0.511051 |
| pregnancy | 0.285019 |
| local elementary school | 0.253767 |
| local public school | 0.253044 |
| smooth ridge | 0.26337 |
| mother drank alcohol | 0.731627 |
| adverse life outcomes | 0.24116 |
| nervous system problems | 0.217139 |
| local early intervention | 0.255324 |
| early intervention contact | 0.25339 |
| poor coordination | 0.263002 |
| Fetal death | 0.240755 |
| abnormal facial features | 0.581509 |
| FAS | 0.326922 |
| behavior problems | 0.231906 |
| problems | 0.386051 |
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| 6566 |
Centers for Disease Control and Prevention |
Html |
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Medical Management Guidelines (MMGs) |
Medical Management Guidelines (MMGs) Acute Chemical Exposures developed ATSDR emergency department physicians emergency healthcare professionals manage acute exposures resulting chemical incidents. |
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| 7683 |
Centers for Disease Control and Prevention |
Html |
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Diseases & Conditions |
Diseases and Conditions information from the Centers for Disease Control and Prevention. |
| MPEG | 0.366029 |
| PDF | 0.272338 |
| common cause | 0.706705 |
| death | 0.275657 |
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| PPT | 0.423277 |
| DOC | 0.357422 |
| different file formats | 0.971768 |
| healthier life | 0.836935 |
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| 8615 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, George M. Helmkamp |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| Spokane Washington | 0.578354 |
| list Skip | 0.823997 |
| grief–stricken grandfather | 0.624468 |
| Dad | 0.45436 |
| page options Skip | 0.977146 |
| Jim Helmkamp | 0.579104 |
| older sister | 0.600601 |
| relatives | 0.366005 |
| navigation Skip | 0.829716 |
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| flu | 0.373983 |
| result | 0.362386 |
| mother | 0.360283 |
| children | 0.389249 |
| Storyteller | 0.373698 |
| George M. Helmkamp | 0.800613 |
| household | 0.357799 |
| brother | 0.356661 |
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| 11045 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs - Prescription Drug Overdose | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Error processing SSI | 0.860029 |
| prescription opiate deaths | 0.353096 |
| maggie fox | 0.330578 |
| prescription opiate use. | 0.315352 |
| Prescription Drug Overdose | 0.402041 |
| Dr. Paulozzi | 0.590037 |
| prescription drug monitor | 0.33989 |
| opiate overdose deaths | 0.341879 |
| antibiotic prescription pattern | 0.319819 |
| prescription opioid deaths | 0.449641 |
| overdose deaths | 0.590249 |
| state prescription drugs | 0.358156 |
| prescription opioids | 0.322863 |
| health care providers | 0.497574 |
| prescriptions | 0.31311 |
| Prescription Drug OverdoseError | 0.361739 |
| tom frieden | 0.84717 |
| Florida | 0.316265 |
| drug overdose mortality | 0.371031 |
| prescription drug monitoring | 0.501817 |
| state level | 0.341704 |
| opioid overdose deaths | 0.379976 |
| opioid analgesic overdose | 0.353062 |
| Dr. Len Paulozzi | 0.313545 |
| processing SSI file | 0.967003 |
|
| Signs – Prescription | 0.337321 |
| TOM SKINNER | 0.665679 |
| oxycodone overdose deaths | 0.36112 |
| prescription opiates. | 0.359539 |
| opioid prescription data | 0.374647 |
| Search Form Controls | 0.347341 |
| states | 0.412281 |
| prescription opiates | 0.386906 |
| CDC vital signs | 0.327512 |
| prescription monitoring programs. | 0.320756 |
| higher prescription rates. | 0.308958 |
| opioid pain relievers. | 0.310851 |
| Dr. Tom Frieden | 0.38551 |
| heroin deaths | 0.331727 |
| drug overdose deaths | 0.517957 |
| prescription drug | 0.503466 |
| vital signs | 0.35729 |
| question | 0.413893 |
| LEONARD PAULOZZI | 0.483668 |
| people | 0.330937 |
| prescription painkillers | 0.333689 |
| drug monitoring programs | 0.507896 |
| OPERATOR | 0.303651 |
| physical therapy | 0.312693 |
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Centers for Disease Control and Prevention |
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Risk of Exposure | Ebola Hemorrhagic Fever |
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| Ebola epidemic | 0.703909 |
| semen | 0.432775 |
| Past Ebola outbreaks | 0.753994 |
| needles | 0.415245 |
| CDC | 0.413654 |
| United States | 0.470346 |
| Ebola viruses | 0.76333 |
| objects | 0.413557 |
| syringes/sharps | 0.413512 |
| wild animals | 0.474685 |
| result | 0.413337 |
| African countries | 0.483053 |
| following countries | 0.465448 |
| direct contact | 0.478542 |
| Ebola transmission | 0.692233 |
| contact | 0.529666 |
| close contact | 0.479003 |
| man | 0.412668 |
| multiple countries | 0.468862 |
| cases | 0.422088 |
| bushmeat | 0.421825 |
| infected blood | 0.503862 |
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| medical equipment | 0.477041 |
| public health partners | 0.528223 |
| Democratic Republic | 0.48608 |
| sex | 0.425777 |
| Ebola River | 0.757604 |
| people | 0.413334 |
| Congo | 0.417542 |
| clothes | 0.414003 |
| friends | 0.413841 |
| food | 0.413065 |
| infected wildlife | 0.500451 |
| highest risk | 0.478928 |
| West Africa | 0.468782 |
| healthcare workers | 0.468058 |
| Ebola patients | 0.757324 |
| information | 0.412716 |
| infected body fluids | 0.574698 |
| Healthcare providers | 0.476471 |
| vaginal fluids | 0.485451 |
| family | 0.413851 |
| Ebola | 0.957734 |
| humans | 0.413874 |
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| 12466 |
Centers for Disease Control and Prevention |
Video |
en |
Human Papillomavirus (HPV) Vaccine and Public Comments |
Introduction, 9-valent HPV vaccine program key results. Increment cost-effectiveness of the 9-valent vs 4-valent HPV vaccine, GRADE for 9-valent HPV vaccine, overview of issues and considerations
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://ftp.cdc.gov/pub/vaccines/acip/Oct2014/HPV-Adjourn.mp4 |
| Public Comments | 0.677249 |
| Vaccine | 0.625237 |
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| Human Papillomavirus | 0.967338 |
| YouTube | 0.624677 |
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