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Notes from the Field: Heartland Virus Disease - UnitedStates, 2012-2013 |
Daniel M. Pastula, MD1, George Turabelidze, MD2, Karen F. Yates, MS2, Timothy F. |
| Arboviral Diseases Branch | 0.551119 |
| St. Francis Hospital | 0.477705 |
| Health Services | 0.453118 |
| Rickettsial Zoonoses Branch | 0.477323 |
| CDC Arboviral Diseases | 0.497828 |
| original MMWR paper | 0.477227 |
| U.S. Government Printing | 0.473665 |
| Human Services | 0.475864 |
| Robert S. Lanciotti | 0.472467 |
| Medical Center | 0.505969 |
| U.S. Department | 0.475537 |
| MMWR HTML versions | 0.474244 |
| Heartland virus | 0.907332 |
| clinically compatible illness | 0.556728 |
| Heartland Regional Medical | 0.526785 |
| northwestern Missouri farmers | 0.485403 |
| electronic PDF version | 0.473455 |
| Zoonotic Infectious Diseases | 0.474895 |
| Amblyomma americanum | 0.450061 |
| normal range | 0.473421 |
| plaque reduction neutralization | 0.477897 |
| additional cases | 0.490672 |
| Truman Medical Center | 0.480016 |
|
| Kansas City | 0.468412 |
| convalescent serum specimens | 0.479127 |
| virus disease cases | 0.537709 |
| white blood cell | 0.481311 |
| newly identified phlebovirus | 0.491983 |
| Heartland virus testing | 0.57063 |
| patients | 0.482714 |
| Heartland virus disease | 0.719793 |
| University Medical Center | 0.480304 |
| Janeen J. Laven | 0.477266 |
| Harry M. Savage | 0.467819 |
| clinical disease | 0.458733 |
| Scott M. Folk | 0.474222 |
| Mercy Hospital | 0.467068 |
| Heartland virus infection | 0.650109 |
| Disease Pathology Branch | 0.481086 |
| original paper copy | 0.470543 |
| Health Center | 0.454822 |
| multiple comorbidities | 0.452946 |
| C. Jon Hinkle | 0.471737 |
| Stephanie J. Yendell | 0.470753 |
| transcriptase–polymerase chain reaction | 0.477989 |
| recent Heartland virus | 0.651081 |
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CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999-2008 - Press Briefing Transcript: November 1, 2011 |
CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999—2008 |
| Gil Kerlikowske | 0.61668 |
| Dr. Jones | 0.313311 |
| prescription narcotics. | 0.374357 |
| prescription drug abuse | 0.655703 |
| prescription drugs | 0.54652 |
| prescription benefit managers | 0.379657 |
| prescription opioids | 0.562139 |
| national prescription drug | 0.441086 |
| prescription drug aversion | 0.431819 |
| drug monitoring programs | 0.535036 |
| doctor shopping | 0.355423 |
| patients | 0.324741 |
| Miriam Falco | 0.330979 |
| emergency department | 0.342221 |
| health care costs | 0.34592 |
| pill mills | 0.343246 |
| state–based prescription drug | 0.432265 |
| drug control policy | 0.427493 |
| inappropriately using prescription | 0.363028 |
| jones. Dr. Frieden | 0.364394 |
| prescription overdoses | 0.386048 |
| Thomas Frieden | 0.779626 |
| national drug control | 0.479211 |
| Chris Jones | 0.429535 |
|
| prescription pain killer | 0.411577 |
| prescription opioids. | 0.358432 |
| federal government | 0.318975 |
| drug abuse deaths | 0.382597 |
| opioid pain relievers | 0.316734 |
| prescription benefits managers. | 0.382502 |
| Tom Skinner | 0.451508 |
| states | 0.382835 |
| prescription drug overdose | 0.47643 |
| health care | 0.610593 |
| prescription pain killers | 0.447556 |
| prescription drug | 0.973703 |
| prescription drug monitoring | 0.64171 |
| question | 0.377295 |
| America′s prescription drug | 0.431482 |
| prescription drug abuse. | 0.431223 |
| prescription history | 0.352838 |
| Drug Control Policy. | 0.320542 |
| all–day prescription drug | 0.421647 |
| people | 0.38606 |
| chronic opioid therapy. | 0.32128 |
| prescription narcotics | 0.414532 |
| prescription pain disorder | 0.388183 |
| Dr. Frieden | 0.680802 |
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Preventing Chronic Disease: January 2008: 07_0154 |
null |
| mental health | 0.632417 |
| depression symptoms | 0.601111 |
| health care specialists | 0.574162 |
| primary care providers | 0.610009 |
| health care providers | 0.604048 |
| major depression | 0.592572 |
| high health care | 0.586598 |
| depression levels | 0.578858 |
| Older Adults project | 0.622977 |
| mental health settings | 0.571902 |
| depression care management | 0.626145 |
| late life depression | 0.590818 |
| evidence-based depression interventions | 0.624695 |
| noninstitutionalized older adults | 0.594145 |
| literature review | 0.578602 |
| evidence-based depression care | 0.60658 |
| health care costs | 0.601391 |
| mild depression | 0.589806 |
| community-based older adults | 0.598898 |
| primary care provider | 0.566842 |
| community-dwelling older adults | 0.677398 |
| study | 0.577489 |
| late-life depression | 0.625439 |
| Public Health Role | 0.566708 |
| recruit older adults | 0.582742 |
|
| depression care manager | 0.639888 |
| older primary care | 0.588181 |
| major public health | 0.58591 |
| primary care clinics | 0.621224 |
| frail older adults | 0.584039 |
| health services | 0.574118 |
| home-based depression treatment | 0.599389 |
| public health | 0.731908 |
| health care | 0.654304 |
| primary care patients | 0.588242 |
| public health organizations | 0.567022 |
| community health care | 0.582209 |
| health care cost | 0.578175 |
| Prevention Research Centers | 0.57423 |
| randomized controlled trial | 0.607297 |
| public health problem | 0.58898 |
| mental health care | 0.57392 |
| brief depression severity | 0.590299 |
| older adults | 0.935041 |
| et al | 0.605106 |
| primary care | 0.736465 |
| expert panel | 0.577594 |
| depression | 0.811256 |
| depression care | 0.660873 |
|
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Uso del Modelo de Preparación Comunitaria para seleccionar comunidades que participen en una intervención de prevención de la obesidad a nivel de la comunidad |
null |
| guÃa estructurada | 0.705558 |
| Sliwa S | 0.728056 |
| Edwards R | 0.717235 |
| Goldberg JP | 0.724745 |
| creciente interés | 0.70941 |
| similar tamaño | 0.711818 |
|
| Hyatt RR | 0.727207 |
| Nueva York | 0.69869 |
| modelo crm | 0.973758 |
| Preparación Comunitaria | 0.832145 |
| Chronic Dis | 0.724945 |
| Clark V | 0.718439 |
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AMCHP Toolbox'Features - Disability and Health | NCBDDD'CDC |
null |
| CDC | 0.438925 |
| Birth Defects | 0.501439 |
| national centers | 0.485363 |
| Health Data | 0.507454 |
| work. Stakeholders | 0.50192 |
| type | 0.417286 |
| clinical preventive services.2 | 0.642156 |
| service gaps | 0.490739 |
| women’s health | 0.562384 |
| national data sources | 0.57361 |
| Disease Control | 0.502048 |
| review | 0.429798 |
| Weitz T.A. | 0.493637 |
| clinicians | 0.436934 |
| health conditions | 0.521624 |
| one-stop online toolbox | 0.593669 |
| self-care | 0.42108 |
| limitations | 0.418679 |
| National Center | 0.502055 |
| Social Work | 0.485399 |
| Maternal | 0.426935 |
| Receipt | 0.418966 |
| Developmental Disability | 0.499385 |
| transportation resource hotline | 0.564636 |
| community action guide | 0.565403 |
|
| employment. | 0.417171 |
| health care facilities | 0.577929 |
| child health experts | 0.585127 |
| special health care | 0.583333 |
| physical impairments | 0.50899 |
| clinical settings | 0.509083 |
| Freund | 0.420645 |
| J.P. et al | 0.551884 |
| collaborative process | 0.491149 |
| recommended services | 0.495993 |
| Public Health | 0.5006 |
| Child Health Programs | 0.601613 |
| tools | 0.458597 |
| house | 0.417186 |
| Prevention | 0.416752 |
| new internet-based TOOLBOX | 0.61161 |
| clinical preventive services | 0.919682 |
| AMCHP | 0.431945 |
| healthcare interactions | 0.485276 |
| onset | 0.42071 |
| disabilities | 0.513289 |
| healthcare services | 0.510423 |
| training sessions | 0.490416 |
| U.S. Census | 0.504839 |
|
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Continuing Education Credits'Clinician Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| extent | 0.33976 |
| veterinary profession | 0.382269 |
| Universal Activity Number | 0.460578 |
| education | 0.689944 |
| National Commission | 0.388115 |
| education opportunities | 0.431796 |
| pre-approved provider | 0.39239 |
| Accreditation Council | 0.49112 |
| certain categories | 0.382972 |
| physicians | 0.351425 |
| Disease Control | 0.901726 |
| management strategies | 0.404422 |
| cph recertification credits | 0.758498 |
| public’s health | 0.410035 |
| knowledge | 0.335804 |
| live activity | 0.397031 |
| total Category | 0.38489 |
| TCEOnline | 0.331237 |
| American Nurses | 0.391943 |
| assistance please contact | 0.384993 |
| education contact | 0.518067 |
| CEU | 0.383637 |
| Master Certified Health | 0.471512 |
| unofficial statement | 0.388718 |
|
| participation | 0.333409 |
| Centers | 0.445998 |
| AMA PRA Category | 0.473647 |
| AAVSB RACE program | 0.56577 |
| Certified Health Education | 0.575937 |
| human populations | 0.402748 |
| certain methods | 0.382886 |
| National Board | 0.447136 |
| Prevention | 0.445857 |
| CECH | 0.329551 |
| Health Education Specialists | 0.580359 |
| threats | 0.333803 |
| CDC provider number | 0.470155 |
| Health Education Credentialing | 0.502698 |
| level continuing education | 0.504207 |
| Continuing Nursing Education | 0.512775 |
| Continuing Medical Education | 0.528213 |
| education units | 0.406494 |
| pharmacy education | 0.523381 |
| NBPHE | 0.339272 |
| COCA continuing education | 0.644059 |
| NABP/CPE Monitor | 0.383787 |
| maximum | 0.334979 |
| Public Health Examiners | 0.564682 |
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QuickStats: Median Emergency Department (ED) Wait and Treatment Times, by Triage Level - National Hospital Ambulatory Medical Care Survey, United States, 2010-2011 |
* Wait time was defined as the difference between the time of arrival in the ED and the time the patient had initial contact with a physician, physician assistant, or nurse practitioner. Treatment time was defined as the difference between the time the patient had initial contact with a physician, physician assistant, or nurse practitioner and the time the patient was discharged from the ED to another hospital unit or to the patient's residence. |
| Emergency service areas | 0.55571 |
| endorsement | 0.436822 |
| Alternate Text | 0.4776 |
| shows median emergency | 0.612499 |
| Human Services | 0.55339 |
| U.S. Department | 0.545814 |
| MMWR HTML versions | 0.536169 |
| hospital unit | 0.493469 |
| visit times | 0.480568 |
| emergency service | 0.562573 |
| electronic PDF version | 0.533946 |
| initial contact | 0.563373 |
| Contact GPO | 0.485598 |
| patients | 0.480431 |
| commercial sources | 0.478513 |
| level triage systems | 0.62651 |
| current prices | 0.475679 |
| original paper copy | 0.535776 |
| shortest median wait | 0.798643 |
| emergency service area | 0.557609 |
| treatment times | 0.604099 |
| United States | 0.481156 |
| records | 0.444239 |
| arrival | 0.435213 |
|
| original MMWR paper | 0.534049 |
| semiurgent | 0.446787 |
| median wait time | 0.927618 |
| nurse practitioner | 0.651247 |
| following reasons | 0.478931 |
| medical advice | 0.484242 |
| median treatment time | 0.744952 |
| MMWR readers | 0.477994 |
| character translation | 0.475397 |
| patient | 0.471202 |
| triage level | 0.712412 |
| emergent | 0.462043 |
| format errors | 0.473199 |
| typeset documents | 0.476488 |
| trade names | 0.478555 |
| official text | 0.473149 |
| nursing triage | 0.554767 |
| immediate need | 0.571157 |
| five-point scale | 0.496662 |
| non-CDC sites | 0.476282 |
| physician assistant | 0.638568 |
| 2-year annual averages. | 0.55795 |
| confidence interval | 0.485639 |
| electronic conversions | 0.47238 |
|
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Laboratory Safety Workgroup |
Laboratory Safety Workgroup members |
| National Biosafety | 0.682224 |
| infectious diseases | 0.699804 |
| H5N1 influenza-containing laboratory | 0.552242 |
| environmental health | 0.595227 |
| †Certified Biological Safety | 0.560457 |
| Biological Safety Association | 0.926729 |
| Health Inspection Services | 0.575092 |
| Duke University | 0.597024 |
| American Biological Safety | 0.926768 |
| CDC BSL-2 facilities | 0.553478 |
| UTMB Institutional Biosafety | 0.604468 |
| Defense Science Board | 0.536249 |
| biological laboratory safety | 0.59621 |
| Scientific Counselors | 0.55982 |
| University Safety Committee | 0.613048 |
| National Science Advisory | 0.623638 |
| Scientific Advisory Board | 0.711788 |
| Chemical Safety Program | 0.547604 |
| Livermore National Laboratory | 0.546351 |
| European Biosafety Association | 0.612853 |
| division safety liaison | 0.539563 |
| Biosafety programs | 0.568636 |
| University Institutional Biosafety | 0.660384 |
| NIH’s National | 0.571208 |
| public health laboratories | 0.64619 |
|
| past president | 0.550114 |
| Public Health England | 0.564284 |
| Alto Health Care | 0.540773 |
| health reference laboratory | 0.571264 |
| University Biosafety Officer | 0.651562 |
| external BSL-3 laboratory | 0.548412 |
| Infectious Diseases Laboratory | 0.5531 |
| Science Advisory Board | 0.625969 |
| Biosafety Regulations | 0.560243 |
| CDC BSL-3 facility | 0.556788 |
| Animal Biosafety Level | 0.610858 |
| National Health Security | 0.580156 |
| Regional Biocontainment Laboratory | 0.56067 |
| Institutional Biosafety Committee | 0.703253 |
| public health | 0.863881 |
| Certified Biological Safety | 0.580407 |
| State Laboratory Institute | 0.536279 |
| Biological Safety Professional | 0.647969 |
| Biosafety Professional | 0.566175 |
| Corporate BioSafety Programme | 0.600184 |
| Biocontainment Training Program | 0.717293 |
| Environmental Safety Office | 0.573514 |
| public health preparedness | 0.711429 |
| public health laboratory | 0.60295 |
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Prepare for your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS |
Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities |
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Centers for Disease Control and Prevention |
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Mark's Story | Real Stories | Tips From Former Smokers |
Mark smoked and got colorectal cancer. His full story and his videos are part of CDC's Tips From Former Smokers campaign. |
| frightening news | 0.601634 |
| harm | 0.295504 |
| TV ad | 0.579983 |
| abdomen | 0.312395 |
| Mark | 0.859564 |
| Persian Gulf | 0.638881 |
| Mark share | 0.560029 |
| mom | 0.280931 |
| smokers | 0.287947 |
| danger | 0.284825 |
| chemotherapy | 0.294115 |
| tours | 0.279243 |
| life | 0.276906 |
| ‘I | 0.278037 |
| smoking | 0.482434 |
| ostomy bag | 0.618621 |
| tip | 0.278004 |
| Treatments | 0.273964 |
|
| fight | 0.278063 |
| teenager | 0.31268 |
| military veteran | 0.559546 |
| colorectal cancer | 0.869832 |
| active military duty | 0.943645 |
| rectal cancer | 0.636103 |
| California | 0.287114 |
| friends | 0.286668 |
| Julia | 0.366292 |
| halt | 0.309383 |
| smokeless tobacco | 0.659559 |
| just—it | 0.277547 |
| radiation | 0.274834 |
| cigarettes | 0.294516 |
| especially young people | 0.895955 |
| Air Force | 0.676306 |
| age | 0.278836 |
|
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