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Centers for Disease Control and Prevention |
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Notes from the Field: Varicella-Associated Death of aVaccinated Child with Leukemia - California, 2012 |
Paula Kriner, MPH1, Karla Lopez, MD1, Jessica Leung, MPH2, Rafael Harpaz, MD2, Stephanie R. Bialek, MD2 (Author affiliations at end of text). |
| original MMWR paper | 0.509779 |
| U.S. Government Printing | 0.509034 |
| Human Services | 0.501051 |
| immunocompromised persons | 0.578677 |
| VZV IgG | 0.54833 |
| postexposure VariZIG | 0.484974 |
| MMWR HTML versions | 0.505626 |
| U.S. Department | 0.497478 |
| adequate protection | 0.463877 |
| abdominal pain | 0.461854 |
| varicella disease | 0.648326 |
| mildly ill cousin | 0.528901 |
| profound immunosuppression | 0.465631 |
| electronic PDF version | 0.506867 |
| U.S. children | 0.46677 |
| alternative diagnoses | 0.463685 |
| oral acyclovir | 0.479319 |
| multiorgan failure | 0.46463 |
| polymerase chain reaction | 0.517182 |
| varicella vaccine | 0.917912 |
| postexposure treatment | 0.486366 |
| contagious viral disease | 0.529331 |
| intravenous acyclovir | 0.480307 |
|
| ACIP recommendation | 0.472585 |
| varicella zoster | 0.658536 |
| immunosuppressive medications | 0.465118 |
| 5-day course | 0.47049 |
| prednisone equivalent dose | 0.549036 |
| Contact GPO | 0.466269 |
| immunocompromised children | 0.522364 |
| emergency department | 0.52551 |
| varicella exposure | 0.673212 |
| corticosteroid treatment | 0.466568 |
| postexposure prophylaxis | 0.493613 |
| varicella-zoster virus | 0.464044 |
| vaccination program | 0.46548 |
| acute lymphoblastic leukemia | 0.527876 |
| original paper copy | 0.503328 |
| profoundly immunocompromised patients | 0.576336 |
| Live-attenuated varicella vaccine | 0.717126 |
| high-dose corticosteroids | 0.469748 |
| generalized rash | 0.471016 |
| varicella vaccination | 0.711483 |
| Eligible persons | 0.465258 |
| vulnerable persons | 0.465243 |
| hematopoietic-cell transplantation recipients | 0.507801 |
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Science Clips - Monday, March 07, 2011 |
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| Hall JE | 0.664365 |
| Garbe PL | 0.664635 |
| Mikovits JA | 0.667121 |
| Linnen JM | 0.666299 |
| National Health Service | 0.72023 |
| Health economics | 0.678799 |
| health care-associated infections | 0.728357 |
| CDC Science Clips | 0.902126 |
| health behaviors | 0.672754 |
| Coffin JM | 0.665128 |
| International Perinatal Database | 0.703479 |
| Chief Science Officer | 0.732281 |
| cessation counseling training | 0.704492 |
| Cancer Control Program | 0.719277 |
| health communication | 0.673893 |
| Blood Xenotropic Murine | 0.718478 |
| Noise-induced hearing loss | 0.716965 |
| public domain | 0.670557 |
| Stephen B. Thacker | 0.833426 |
| Typical Oral Clefts | 0.69909 |
| Kirkcaldy RD | 0.665661 |
| Gonococcal resistance | 0.664986 |
| family healthware impact | 0.702713 |
| systematic literature review | 0.707825 |
| blood stream infections | 0.696297 |
|
| Breast Screening Programme | 0.691411 |
| chronic kidney disease | 0.71404 |
| United States | 0.697185 |
| business cycle | 0.667631 |
| partner violence perpetration | 0.706525 |
| health promotion models | 0.720807 |
| Med Sci. | 0.666373 |
| genital human papillomavirus | 0.699228 |
| Feb | 0.769865 |
| short sleep duration | 0.694225 |
| loss prevention | 0.70195 |
| public health literature | 0.725643 |
| Urban Health. | 0.770576 |
| B. Thacker CDC | 0.893546 |
| Holmberg JA | 0.669657 |
| Shaw PB | 0.711792 |
| Slaven JE | 0.668406 |
| original sources | 0.676482 |
| Adverse Event Reporting | 0.706475 |
| Unhealthy sleep-related behaviors | 0.704273 |
| Clin Vaccine Immunol. | 0.71715 |
| Davis RR | 0.664209 |
| Research Working Group | 0.716768 |
| Thacker CDC Library | 0.893514 |
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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 |
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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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HIV Transmission - HIV/AIDS Basics |
Some questions and answers on how HIV is transmitted. |
| HIV-infected person | 0.270822 |
| certain body fluids—blood | 0.29036 |
| possible HIV transmission | 0.327151 |
| right way | 0.246434 |
| CDC’s HIV | 0.610202 |
| highest-risk sexual activity | 0.247003 |
| viral load | 0.293734 |
| HIV-infected blood | 0.234344 |
| anal sex | 0.329083 |
| needs | 0.272485 |
| personal protective equipment | 0.245747 |
| blood transfusions | 0.232913 |
| oral sex | 0.316297 |
| HIV Risk Reduction | 0.78153 |
| abuse treatment center | 0.25526 |
| HIV-positive partner | 0.2494 |
| HIV treatment | 0.352763 |
| HIV medicines | 0.327934 |
| sexually transmitted diseases | 0.25552 |
| HIV treatment medicines | 0.334258 |
| undetectable viral load | 0.2684 |
| person | 0.282928 |
| substance abuse treatment | 0.25442 |
| unprotected sex | 0.235286 |
|
| needles | 0.239825 |
| United States | 0.27714 |
| sexual behaviors | 0.24529 |
| Risk Reduction Tool | 0.685113 |
| receptive anal sex | 0.260448 |
| occupational exposure | 0.233742 |
| mucous membranes | 0.275283 |
| health care workers | 0.318097 |
| hiv transmission | 0.357978 |
| open sores | 0.246692 |
| HIV superinfection | 0.323454 |
| No. HIV | 0.318337 |
| sex | 0.361936 |
| vaginal sex | 0.275038 |
| blood | 0.293919 |
| people | 0.256223 |
| BETA | 0.272462 |
| mouth | 0.236781 |
| HIV | 0.97851 |
| information | 0.309818 |
| sharp object | 0.232931 |
| Occupational HIV Transmission | 0.338846 |
| vaginal fluids | 0.247477 |
| insertive anal sex | 0.24228 |
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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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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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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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About Antimicrobial Resistance |
null |
| drug-resistant organisms | 0.301262 |
| general public | 0.274599 |
| wound infections | 0.342322 |
| bacteria | 0.9554 |
| antibiotic-resistant infections | 0.571482 |
| new resistance | 0.327654 |
| toxic alternatives | 0.287266 |
| major factor | 0.277752 |
| infections | 0.582424 |
| disease-causing microbes. | 0.287607 |
| time antibiotics | 0.40348 |
| infected farm workers | 0.399362 |
| aggressive action | 0.297836 |
| industrial food animal | 0.393631 |
| acceptance speech | 0.270353 |
| germs | 0.299907 |
| greater risk | 0.296662 |
| food animals | 0.40788 |
| resistant bacteria | 0.627846 |
| Alexander Fleming. | 0.274811 |
| food animals. | 0.281088 |
| disease-causing microbes | 0.372013 |
| veterinary oversight | 0.281036 |
| third-choice drugs | 0.278085 |
|
| Allied Forces. | 0.268583 |
| antibiotic-resistant bacteria | 0.472013 |
| incorrect dosing | 0.28527 |
| commonly known antimicrobials | 0.443827 |
| resistant infections | 0.395912 |
| page | 0.399089 |
| antibiotics | 0.602226 |
| alternative drugs | 0.286433 |
| commercialized antibiotic | 0.361489 |
| antibiotic resistance | 0.515802 |
| food-producing animals | 0.399227 |
| bacteria Salmonella | 0.477953 |
| bacteria. Other forms | 0.275895 |
| World War | 0.274363 |
| commonly prescribed drugs | 0.447164 |
| medical expenses | 0.271457 |
| non-human sources | 0.284305 |
| people | 0.305658 |
| microbes | 0.423411 |
| growth | 0.32513 |
| Antimicrobial resistance | 0.334309 |
| resistant organisms | 0.380903 |
| humans | 0.294665 |
| resistant strains | 0.346403 |
|
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