| 5944 |
Centers for Disease Control and Prevention |
Html |
en |
1,1,2-Trichloroethane - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
|
CLICK HERE |
| 6990 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 7264 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 7729 |
Centers for Disease Control and Prevention |
Html |
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 |
|
CLICK HERE |
| 10821 |
Centers for Disease Control and Prevention |
Html |
en |
CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| airborne isolation precautions | 0.52192 |
| CDC | 0.574908 |
| CDC’s National | 0.506395 |
| sustained spread | 0.467553 |
| Respiratory Syndrome Coronavirus | 0.534648 |
| health officials | 0.675065 |
| dramatic increase | 0.46595 |
| Dr. Anne Schuchat | 0.526078 |
| healthcare worker | 0.479133 |
| family members | 0.468522 |
| unwashed hands | 0.464997 |
| CDC Director Tom | 0.571578 |
| specific treatment | 0.465269 |
| Florida health officials | 0.548645 |
| assistant surgeon general | 0.525076 |
| emergency department | 0.471329 |
| public health investigations | 0.536595 |
| MERS cases | 0.646407 |
| Respiratory Diseases | 0.486864 |
| U.S. imported case | 0.558731 |
| East Respiratory Syndrome | 0.669266 |
| late night | 0.476993 |
| Arabian Peninsula | 0.712772 |
| United States | 0.547025 |
| respiratory illness | 0.521116 |
|
| MERS Coronavirus | 0.588518 |
| slight cough | 0.482023 |
| global ability | 0.471021 |
| Saudi Arabia | 0.937632 |
| U.S. travelers | 0.46662 |
| additional imported cases | 0.540657 |
| subsequent flights | 0.467533 |
| severe acute respiratory | 0.531147 |
| CDC’s recommendations | 0.493741 |
| patient | 0.583467 |
| health security | 0.482217 |
| close contact | 0.73679 |
| Florida Department | 0.470435 |
| health care | 0.482481 |
| travel history | 0.471018 |
| Middle East Respiratory | 0.669298 |
| local health officials | 0.546613 |
| respiratory illnesses | 0.478176 |
| MERS-CoV infection | 0.532054 |
| U.S. general public | 0.646696 |
| healthcare provider | 0.469447 |
| healthcare workers | 0.47638 |
| healthcare setting | 0.465804 |
| MERS | 0.769288 |
|
CLICK HERE |
| 12852 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 13054 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 14162 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 15383 |
Centers for Disease Control and Prevention |
Html |
en |
Worksite Influences on Obesogenic Behaviors in Low-WageWorkers in St Louis, Missouri, 2013-2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| work groups | 0.568675 |
| SF-8 Health Survey | 0.523474 |
| future workplace interventions | 0.585934 |
| WHP participation | 0.695765 |
| retail sales workers | 0.61646 |
| Washington University | 0.538319 |
| overlooked health disparity | 0.520016 |
| Irregular work schedules | 0.521298 |
| Univariate logistic regression | 0.52838 |
| irregular schedules | 0.687465 |
| modifiable workplace factors | 0.684787 |
| health behaviors | 0.557847 |
| obesity | 0.533552 |
| workplace wellness efforts | 0.540407 |
| multivariate logistic regression | 0.526624 |
| particularly low-wage workers | 0.591523 |
| large health care | 0.524128 |
| overall health | 0.519563 |
| REAP-S total score | 0.527057 |
| healthy workers | 0.540937 |
| work schedule | 0.539606 |
| wellness programs | 0.525412 |
| health status | 0.56385 |
| low-wage workers | 0.790015 |
| workplace health programs | 0.707434 |
|
| retail workers | 0.970928 |
| Public Health | 0.537255 |
| healthy behaviors | 0.528692 |
| obesogenic behaviors | 0.718078 |
| exercise | 0.624114 |
| food service workers | 0.573651 |
| multivariate models | 0.536639 |
| Energy Balance Survey | 0.533459 |
| low-wage American workers | 0.56318 |
| obesogenic behaviors workers | 0.601928 |
| hospital workers | 0.829936 |
| workplace health behavior | 0.538986 |
| diet | 0.53132 |
| Coworker Support scales | 0.526626 |
| health care | 0.533866 |
| health promotion programs | 0.526646 |
| health | 0.769948 |
| food source | 0.553871 |
| exercise programs | 0.519751 |
| food | 0.592028 |
| younger age | 0.517718 |
| physical activity | 0.958386 |
| significant predictors | 0.640503 |
| little physical activity | 0.516293 |
|
CLICK HERE |
| 16445 |
Centers for Disease Control and Prevention |
Html |
en |
Comparative Analysis of Five Observational Audit Tools toAssess the Physical Environment of Parks for Physical Activity,2016 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| community members | 0.416058 |
| audit tools | 0.787421 |
| PARA | 0.345823 |
| data collectors | 0.327932 |
| Active Living Research | 0.236024 |
| public health practitioners | 0.549205 |
| inter-rater reliability estimates | 0.331718 |
| Environment Audit Tool | 0.20809 |
| Physical Activity Resource | 0.210425 |
| features | 0.317259 |
| assessment | 0.247682 |
| parks | 0.240193 |
| measures | 0.393884 |
| Open Space Tool | 0.25072 |
| BRAT-DO | 0.275964 |
| Community Park Audit | 0.263329 |
| physical environment | 0.236088 |
| presence | 0.379887 |
| Living Research website | 0.239271 |
|
| park | 0.412472 |
| EAPRS | 0.391657 |
| good-to-high inter-rater reliability | 0.20001 |
| Park Audit Tool | 0.282494 |
| park audit tools | 0.257104 |
| prominent audit tools | 0.253545 |
| researchers | 0.206494 |
| inter-rater reliability | 0.671982 |
| park-based physical activity | 0.347913 |
| data collection method | 0.261294 |
| physical activity | 0.91074 |
| Public Open Space | 0.235685 |
| observational audit tools | 0.420606 |
| environmental audit tools | 0.209513 |
| validity | 0.201156 |
| items | 0.3963 |
| inter-rater agreement | 0.203361 |
| CPAT | 0.520677 |
| physical activity studies | 0.213328 |
|
CLICK HERE |