| 4732 |
Centers for Disease Control and Prevention |
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Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| repellent/insecticide permethrin | 0.580974 |
| infection | 0.268755 |
| pants | 0.267352 |
| mosquito-borne viruses | 0.696884 |
| pools | 0.261671 |
| Wear protective clothing | 0.766908 |
| Eastern equine encephalitis | 0.914452 |
| washes | 0.282878 |
| oil | 0.256277 |
| weather | 0.253724 |
| holes | 0.257685 |
| tires | 0.263636 |
| mosquitoes | 0.657356 |
| eggs | 0.325472 |
| mosquito-borne diseases | 0.659292 |
| package | 0.25744 |
| intact screens | 0.555536 |
| buckets | 0.269573 |
| long sleeves | 0.532667 |
|
| bird baths | 0.511031 |
| barrels | 0.266674 |
| picaridin | 0.256397 |
| flower pots | 0.514255 |
| approaches | 0.26059 |
| windows | 0.252886 |
| water | 0.408499 |
| DEET | 0.295222 |
| EEEV | 0.322435 |
| vaccine | 0.276451 |
| best defense | 0.5646 |
| lemon eucalyptus | 0.566822 |
| small amounts | 0.526191 |
| exposure | 0.268076 |
| outdoors | 0.262589 |
| directions | 0.257533 |
| pet dishes | 0.512187 |
| family | 0.258121 |
| humans | 0.266181 |
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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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| 7150 |
Centers for Disease Control and Prevention |
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Global Health - Saudi Arabia |
CDC has worked with the Kingdom of Saudi Arabia for over 20 years. It has formed partnerships with the Ministry of Health, WHO, local partners, and other U.S. Government agencies to reduce the impact of emerging diseases, build capacity in areas such as laboratory systems and epidemiology, strengthen immunization services, respond to public health emergencies, and conduct surveillance, surveys, and studies. |
| immunization services | 0.471557 |
| local partners | 0.445698 |
| outbreak response | 0.434684 |
| CDC | 0.38363 |
| control disease outbreaks | 0.709165 |
| U.S. Government agencies | 0.732975 |
| diseases | 0.203316 |
| public health emergencies | 0.728625 |
| laboratory systems | 0.431662 |
|
| capacity | 0.254423 |
| Saudi Arabia | 0.909379 |
| conduct surveillance | 0.476685 |
| HHS | 0.201248 |
| non-federal site | 0.465164 |
| Kingdom | 0.207099 |
| Download Overview Fact | 0.70488 |
| public health systems | 0.642437 |
|
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| 7264 |
Centers for Disease Control and Prevention |
Html |
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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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en |
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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| 11503 |
Centers for Disease Control and Prevention |
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Condom Fact Sheet In Brief | Condom Effectiveness |
Condom Effectivenss Fact Sheet in Brief |
| infected partner | 0.47256 |
| HIV prevention | 0.481633 |
| different STDs | 0.532346 |
| transmission | 0.518676 |
| numerous methodological challenges | 0.524213 |
| anal sex | 0.471456 |
| anatomic coverage | 0.472158 |
| sexual activity | 0.532802 |
| absolute protection | 0.479563 |
| genital fluids | 0.546326 |
| erect penis | 0.526129 |
| genital herpes | 0.562754 |
| infected area | 0.478805 |
| entire sex act | 0.599708 |
| sexually transmitted disease | 0.553493 |
| STD acquisition | 0.477667 |
| Laboratory studies | 0.471269 |
| various STDs | 0.530119 |
| human immunodeficiency virus | 0.535284 |
| consistent condom | 0.664337 |
| condom | 0.937007 |
| smallest STD pathogens | 0.544199 |
| new condom | 0.68348 |
| greater protection | 0.473016 |
|
| Condom Fact Sheet | 0.735527 |
| genital contact | 0.49612 |
| infected areas | 0.480178 |
| epidemiologic studies | 0.679476 |
| single sex act | 0.526878 |
| protection | 0.501166 |
| HIV-infected sex partners | 0.539243 |
| genital warts | 0.500386 |
| condom integrity | 0.611499 |
| Sex Transm Dis | 0.711602 |
| condom break | 0.616526 |
| reliable ways | 0.473617 |
| mutually monogamous relationship | 0.541239 |
| condom effectiveness | 0.686813 |
| genital human papillomavirus | 0.559799 |
| sexual transmission | 0.477505 |
| genital ulcer diseases | 0.556754 |
| condom users | 0.647784 |
| STD/HIV transmission | 0.478128 |
| risk | 0.48628 |
| infected persons | 0.490287 |
| male condoms | 0.611836 |
| HIV infection | 0.540605 |
| male latex condom | 0.74863 |
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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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| 14162 |
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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| 15322 |
Centers for Disease Control and Prevention |
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Notes from the Field: Four Multistate Outbreaks of HumanSalmonella Infections Linked to Small Turtle Exposure - UnitedStates, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| small turtles | 0.959199 |
| child care centers | 0.570935 |
| CDC | 0.551132 |
| outbreak strains | 0.601271 |
| major Spanish-language news | 0.574191 |
| Human Services | 0.561417 |
| additional infections | 0.510781 |
| Alabama flea market | 0.647527 |
| U.S. Department | 0.559489 |
| Salmonella Pomona | 0.730165 |
| electronic PDF version | 0.570856 |
| Zoonotic Infectious Diseases | 0.566304 |
| previous outbreaks | 0.566985 |
| foodborne disease surveillance | 0.606037 |
| street vendors | 0.505424 |
| median age | 0.511887 |
| patients | 0.612458 |
| MMWR articles | 0.499372 |
| multistate Salmonella outbreaks | 0.833761 |
| flea market vendor | 0.606176 |
| ethnicity information | 0.605223 |
| FDA’s Center | 0.500043 |
| flea markets | 0.624814 |
| FDA consumer safety | 0.582675 |
|
| turtle farm | 0.574381 |
| turtle exposure | 0.693826 |
| turtle environment samples | 0.658975 |
| 1Epidemic Intelligence Service | 0.569152 |
| subsequent investigation | 0.511234 |
| United States | 0.512477 |
| original MMWR paper | 0.576122 |
| Pond water samples | 0.578536 |
| Median patient age | 0.609148 |
| Drug Administration | 0.514638 |
| Salmonella Paratyphi | 0.643962 |
| pet turtle | 0.568144 |
| Salmonella infections | 0.6403 |
| index patient | 0.607417 |
| patient’s turtle | 0.576641 |
| illegal sales | 0.604049 |
| patterns XbaI JL6X01.0104 | 0.593756 |
| consumer complaint | 0.512383 |
| Salmonella Poona | 0.694669 |
| national molecular subtyping | 0.613041 |
| available information | 0.517184 |
| flea market | 0.697606 |
| Salmonella Sandiego infection | 0.810444 |
| Salmonella serotypes Sandiego | 0.781709 |
|
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