| 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 |
| viral meningitis | 0.732439 |
| injuries | 0.311502 |
| warm water | 0.362246 |
| septicemia | 0.315193 |
| clinical disease information | 0.406067 |
| devastating infection | 0.363093 |
| viruses | 0.33983 |
| normal immune systems | 0.418944 |
| 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 |
|
| 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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| 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 |
|
| 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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| 6990 |
Centers for Disease Control and Prevention |
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Announcements: Healthy Vision Month - May 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. |
| mmwrq@cdc.gov. | 0.645554 |
| Wood JM | 0.624851 |
| Ophthalmol Vis Sci | 0.724838 |
| certain eye diseases | 0.764371 |
| Human Services | 0.709085 |
| assistive technology | 0.645417 |
| Vision Health Initiative | 0.797164 |
| age-related eye disease | 0.776534 |
| lifetime priority | 0.634824 |
| Elam-Evans LD | 0.625973 |
| eye health | 0.685882 |
| MMWR HTML versions | 0.722168 |
| U.S. Department | 0.706495 |
| eye diseases | 0.82707 |
| electronic PDF version | 0.711324 |
| eye conditions | 0.663553 |
| vision impairment | 0.899415 |
| Crews JE | 0.628364 |
| early detection | 0.745387 |
| age-related macular degeneration | 0.74269 |
| National Institutes | 0.63331 |
| injurious falls | 0.636272 |
| Additional information | 0.626476 |
| Contact GPO | 0.640972 |
|
| fall-related injuries | 0.641699 |
| original paper copy | 0.716388 |
| United States | 0.630454 |
| Qual Life Res | 0.740818 |
| U.S. Government Printing | 0.726789 |
| original MMWR paper | 0.71873 |
| early stages | 0.624519 |
| vision problems | 0.667539 |
| Kerr GK | 0.62889 |
| MMWR readers | 0.626582 |
| daily activities | 0.633165 |
| social isolation | 0.628818 |
| National Eye Institute | 0.974182 |
| eye-care professional | 0.63818 |
| visual impairment | 0.795417 |
| timely treatment | 0.627125 |
| comprehensive dilated eye | 0.772203 |
| Vision disorders | 0.666654 |
| common eye diseases | 0.774893 |
| common chronic condition | 0.741 |
| subject line | 0.643364 |
| proper eye-safety practices | 0.731435 |
| Healthy Vision | 0.668969 |
| U.S. general population | 0.74024 |
|
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| 7264 |
Centers for Disease Control and Prevention |
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Global Health Surveillance |
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. |
| surveillance system performance | 0.346212 |
| integrated surveillance | 0.367075 |
| basic surveillance science | 0.365635 |
| surveillance components | 0.344378 |
| health surveillance activities | 0.405641 |
| public health problems | 0.336947 |
| surveillance approach | 0.35227 |
| effective surveillance | 0.357309 |
| public health surveillance | 0.95261 |
| national public health | 0.338801 |
| World Health | 0.321649 |
| surveillance programs | 0.426474 |
| national surveillance programs | 0.37916 |
| disease surveillance | 0.381018 |
| global health threats | 0.309415 |
| new global surveillance | 0.391972 |
| integrated disease surveillance | 0.354409 |
| disease-specific surveillance programs | 0.375613 |
| routine surveillance | 0.364591 |
| World Health Organization | 0.315941 |
| inadequate surveillance | 0.354815 |
| health surveillance officers | 0.39977 |
| health surveillance data | 0.392033 |
| surveillance functions | 0.372822 |
| public health events | 0.33366 |
|
| Surveillance Consultation | 0.356591 |
| global public health | 0.393167 |
| surveillance requirements | 0.347667 |
| comprehensive surveillance integration | 0.356003 |
| health surveillance systems | 0.448428 |
| low-resource countries | 0.327534 |
| health surveillance workers | 0.404899 |
| country health systems | 0.308155 |
| surveillance authorities | 0.344989 |
| public heath surveillance | 0.393672 |
| surveillance standards | 0.339536 |
| public health community | 0.329454 |
| health information systems | 0.386733 |
| surveillance systems | 0.531252 |
| similar surveillance functions | 0.369027 |
| global health surveillance | 0.609416 |
| surveillance architecture | 0.351949 |
| basic surveillance systems | 0.373387 |
| national surveillance systems | 0.381813 |
| quality surveillance | 0.356618 |
| international health regulations | 0.323602 |
| surveillance units | 0.349387 |
| health surveillance environment | 0.413057 |
| overall surveillance | 0.341791 |
|
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| 7729 |
Centers for Disease Control and Prevention |
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Progress in Voluntary Medical Male Circumcision ServiceProvision - Kenya, 2008-2011 |
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. |
| VMMC implementation | 0.514358 |
| new HIV infections | 0.530746 |
| HIV prevention program | 0.5727 |
| HIV prevention | 0.802945 |
| HIV prevalence rates | 0.501849 |
| VMMC coverage | 0.630076 |
| Global HIV/AIDS | 0.453549 |
| Provider-initiated HIV testing | 0.472688 |
| voluntary medical male | 0.763147 |
| provincial prevalence rates | 0.441348 |
| VMMC scale-up strategies | 0.467918 |
| VMMC clients | 0.730599 |
| World Health Organization | 0.525411 |
| severe postoperative AEs | 0.439167 |
| uncircumcised males | 0.984792 |
| VMMC | 0.95272 |
| Rift Valley | 0.472511 |
| VMMC services | 0.575436 |
| Kenya Medical Research | 0.527667 |
| scale-up — Kenya | 0.468282 |
| VMMC target | 0.458368 |
| additional HIV prevention | 0.503515 |
| human immunodeficiency virus | 0.567063 |
| medical male circumcision | 0.726616 |
| Program – Kenya | 0.473425 |
|
| medical male circumcisions | 0.499503 |
| effective HIV prevention | 0.474819 |
| HIV prevalence | 0.596044 |
| HIV prevention intervention | 0.578915 |
| postoperative review | 0.543174 |
| future VMMC programming | 0.479159 |
| VMMC service delivery | 0.474822 |
| Nyanza Province | 0.899664 |
| VMMC strategies | 0.453126 |
| VMMC coverage data | 0.48561 |
| HIV acquisition | 0.475764 |
| VMMCs | 0.532447 |
| VMMC scale-up | 0.474298 |
| male circumcision | 0.754967 |
| Kenya | 0.936849 |
| CDC support | 0.464109 |
| HIV test results | 0.475959 |
| CDC Kenya | 0.535223 |
| Kenya reside | 0.491202 |
| older males | 0.466988 |
| Nyanza Reproductive Health | 0.454379 |
| high HIV prevalence | 0.585419 |
| Svcs – Kenya | 0.472052 |
| reliable VMMC coverage | 0.473291 |
|
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| 12466 |
Centers for Disease Control and Prevention |
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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 |
|
| Human Papillomavirus | 0.967338 |
| YouTube | 0.624677 |
|
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| 12852 |
Centers for Disease Control and Prevention |
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Million Hearts Recognizes 2014 Hypertension Control Champions |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Dr. Janet Wright | 0.528 |
| American adults | 0.477988 |
| successful strategies | 0.471612 |
| blood pressure down—a | 0.55692 |
| Human Services | 0.487596 |
| Hypertension Control Champions | 0.86126 |
| executive director | 0.471277 |
| U.S. Department | 0.487428 |
| pressure control data | 0.559645 |
| rural areas | 0.485909 |
| evidence-based strategies | 0.480444 |
| high performance | 0.481783 |
| hypertension control rates | 0.630277 |
| blood pressure | 0.898223 |
| health systems | 0.538799 |
| greater risk | 0.477267 |
| Million Hearts® Hypertension | 0.642219 |
| CDC Director Tom | 0.545979 |
| hypertension control | 0.901833 |
| solo practitioners | 0.478401 |
| health care practices | 0.58307 |
| health care teams | 0.556547 |
| blood pressure control | 0.762034 |
| appropriate clinical care | 0.531464 |
| large systems | 0.48825 |
|
| different states | 0.485249 |
| verifiable high blood | 0.547373 |
| private-sector partners | 0.474721 |
| tribal clinical practices | 0.561668 |
| heart attacks | 0.545445 |
| heart attack | 0.478063 |
| team-based care | 0.481868 |
| health information technology | 0.54759 |
| Medicaid Services | 0.46949 |
| heart disease | 0.612253 |
| adult patients | 0.551942 |
| health services | 0.500338 |
| avoidable heart disease | 0.55316 |
| federal agencies | 0.471487 |
| Hypertension Control Challenge | 0.701411 |
| better heart health | 0.569485 |
| Million Hearts initiative | 0.599043 |
| nonprofit organizations | 0.471533 |
| strong sign | 0.475203 |
| national initiative | 0.478163 |
| evidence-based ways | 0.47268 |
| board-certified cardiologist | 0.475475 |
| high blood pressure | 0.809928 |
| best practices | 0.47789 |
|
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| 13054 |
Centers for Disease Control and Prevention |
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CDC Grand Rounds: the Future of Cancer Screening |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| national organized cancer | 0.596358 |
| lung cancer screening | 0.722202 |
| Federally Qualified Health | 0.607443 |
| health insurance | 0.605309 |
| state Medicaid programs | 0.59208 |
| higher cancer prevalence | 0.587025 |
| preventive screening services | 0.676244 |
| occult blood tests | 0.603765 |
| cancer screening participation | 0.709131 |
| screening data | 0.636129 |
| guaiac fecal occult | 0.60691 |
| health care providers | 0.586644 |
| Cancer Early Detection | 0.614803 |
| colorectal cancer | 0.713403 |
| public health leaders | 0.614904 |
| cervical cancer screening | 0.714605 |
| Cancer Control Program | 0.617777 |
| fecal occult blood | 0.666057 |
| patient screening invitations | 0.673769 |
| health care settings | 0.588277 |
| cervical cancer death | 0.628669 |
| local screening centers | 0.673269 |
| Colorectal Cancer Control | 0.602647 |
| Cheryll C. Thomas | 0.601043 |
| cancer screening | 0.917693 |
|
| USPSTF cancer | 0.585758 |
| United States | 0.678418 |
| high screening rates | 0.661502 |
| cancer screening measures | 0.700292 |
| universal cervical cancer | 0.617491 |
| National Cancer Institute | 0.59014 |
| health care | 0.675105 |
| public health | 0.666295 |
| 5American Cancer Society | 0.586132 |
| health care systems | 0.642725 |
| screening examinations | 0.633389 |
| Cancer Screening Programme | 0.717221 |
| Early Detection Program | 0.58802 |
| cancer screening programs | 0.70439 |
| fecal immunochemical test | 0.632101 |
| public health programs | 0.617808 |
| cancer screening tests | 0.788309 |
| previous screening | 0.645297 |
| screening examples | 0.635738 |
| colorectal screening programs | 0.677183 |
| screening rates | 0.672629 |
| preventive services | 0.622917 |
| Health Center Cancer | 0.611532 |
| Cervical Cancer Early | 0.629585 |
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Centers for Disease Control and Prevention |
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Epilepsy and Smoking | CDC Features |
If you have epilepsy and smoke, it's important to quit. |
| epilepsy | 0.987124 |
| National Health Interview | 0.591788 |
| Population Division | 0.503964 |
| tips | 0.420195 |
| current smokers | 0.644554 |
| Cigarette Smoking | 0.537264 |
| Disease Control | 0.503795 |
| resident population | 0.501336 |
| seizures | 0.425783 |
| DOI | 0.424417 |
| Thurman DJ | 0.510068 |
| Hispanic origin | 0.501906 |
| Annual estimates | 0.506683 |
| history | 0.420864 |
| health problems | 0.535338 |
| new data | 0.518894 |
| chances | 0.425944 |
| cigarettes | 0.450718 |
| conditions | 0.42237 |
| obstructive pulmonary disease | 0.610573 |
| health effects | 0.602092 |
| healthcare providers | 0.511477 |
| benefits | 0.420482 |
| medicines | 0.420112 |
| United States | 0.721657 |
|
| Kobau | 0.468473 |
| adults | 0.502787 |
| epilepsy.1,2 | 0.421074 |
| database online | 0.506779 |
| active epilepsy | 0.863699 |
| smoking | 0.587266 |
| broad term | 0.529208 |
| CDC Epilepsy Program | 0.763059 |
| Luo YH | 0.526482 |
| Epilepsy Behav. | 0.650308 |
| recent CDC study | 0.63404 |
| Zack MM | 0.628227 |
| Census Bureau | 0.503553 |
| brain | 0.422347 |
| people | 0.456506 |
| MMWR. | 0.420079 |
| Helmers | 0.43783 |
| Health behaviors | 0.507299 |
| coronary heart disease | 0.60919 |
| Learn | 0.419971 |
| risk | 0.419935 |
| cancer | 0.419847 |
| epilepsy medicine | 0.662215 |
| Release Date | 0.508125 |
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Centers for Disease Control and Prevention |
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Vital Signs: Epidemiology of Sepsis: Prevalence of HealthCare Factors and Opportunities for Prevention | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| comprehensive sepsis prevention | 0.602862 |
| sepsis epidemiology | 0.568719 |
| severe sepsis | 0.625593 |
| health care factor | 0.481257 |
| York State Department | 0.468789 |
| early recognition | 0.44652 |
| health care factors | 0.701393 |
| community-associated sepsis cases | 0.568114 |
| sepsis admission | 0.604573 |
| sepsis hospitalizations | 0.529098 |
| early sepsis | 0.530865 |
| sepsis mortality | 0.523524 |
| sepsis onset | 0.580472 |
| infections | 0.497818 |
| congestive heart failure | 0.440114 |
| Recent sepsis initiatives | 0.546593 |
| health care providers | 0.41344 |
| health care expenditures | 0.390528 |
| patients | 0.620905 |
| New York State | 0.439053 |
| health care environments | 0.391502 |
| acute care hospital | 0.407578 |
| sepsis hospitalization | 0.601918 |
| sepsis care | 0.552024 |
| sepsis | 0.918513 |
|
| sepsis surveillance methods | 0.547311 |
| septic shock | 0.432151 |
| sepsis cases | 0.644425 |
| Emerging Infections Program | 0.403892 |
| sepsis diagnosis | 0.521172 |
| pediatric patients | 0.468071 |
| sepsis documentation | 0.574725 |
| Sepsis prevention activities | 0.556893 |
| health care | 0.809161 |
| sepsis risk | 0.534262 |
| New York | 0.472333 |
| sepsis prevention strategies | 0.629553 |
| specific sepsis prevention | 0.597922 |
| sepsis surveillance | 0.562111 |
| sepsis experience | 0.538862 |
| sepsis education | 0.537006 |
| nursing home | 0.433465 |
| sepsis awareness | 0.533197 |
| sepsis initiatives | 0.599097 |
| medical record | 0.422454 |
| line-associated bloodstream infections | 0.402323 |
| sepsis process measures | 0.546834 |
| frequent medical care | 0.402259 |
| sepsis prevention | 0.646473 |
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