| 1025 |
Centers for Disease Control and Prevention |
Html |
en |
Hepatitis C: Testing Baby Boomers Saves Lives | CDC Features |
About 3 million Americans have hepatitis C, most are baby boomers or people born from 1945-1965. Baby boomers are 5 times more likely to have hepatitis C. If you were born during these years, talk to your doctor about getting tested. |
| treatment | 0.338755 |
| reason | 0.319244 |
| RNA Testing | 0.395937 |
| infection | 0.32055 |
| Issue | 0.318794 |
| injection drug | 0.390633 |
| adults | 0.363604 |
| Science | 0.318809 |
| follow-up blood test | 0.625385 |
| positive hepatitis | 0.552118 |
| CDC study | 0.397408 |
| On-line tool | 0.394098 |
| life | 0.320134 |
| times | 0.342865 |
| hepatitis C virus | 0.985921 |
| talk | 0.321577 |
| antibody test | 0.671356 |
| health care providers | 0.457349 |
| liver damage | 0.420366 |
| cirrhosis | 0.322626 |
| necessary medical care | 0.476482 |
| viral hepatitis | 0.552527 |
|
| liver disease | 0.427173 |
| blood transfusions | 0.392328 |
| Risk Assessment | 0.390051 |
| individual | 0.317712 |
| different follow-up blood | 0.496365 |
| health department | 0.391822 |
| Americans | 0.319993 |
| liver transplants | 0.422806 |
| hepatitis C. | 0.608525 |
| feeling | 0.321341 |
| people | 0.4168 |
| positive antibody test | 0.491038 |
| friends | 0.31816 |
| doctor | 0.341983 |
| symptoms | 0.320006 |
| baby boomers | 0.77631 |
| follow-up test | 0.564737 |
| health problems | 0.399388 |
| Test patients | 0.393872 |
| liver cancer | 0.41664 |
| decades | 0.320327 |
| simple blood test | 0.478514 |
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| 5606 |
Centers for Disease Control and Prevention |
Html |
en |
1,1,2-Trichloro-1,2,2-trifluoroethane |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5886 |
Centers for Disease Control and Prevention |
Html |
en |
p-Cresol - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 6531 |
Centers for Disease Control and Prevention |
Html |
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Receipt of A(H1N1)pdm09 Vaccine by Prisons and Jails - United States, 2009-10 Influenza Season |
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. |
| U.S. jails | 0.221898 |
| M. Correctional health | 0.210281 |
| pdm09 vaccine survey | 0.233807 |
| United States | 0.216558 |
| largest jails | 0.311279 |
| vaccine distribution | 0.258221 |
| U.S. prisons | 0.281885 |
| randomly selected facilities | 0.233816 |
| smaller jails | 0.217358 |
| pandemic period | 0.386213 |
| Correctional Medical Svcs | 0.200179 |
| state prisons | 0.959758 |
| correctional facility populations | 0.378153 |
| inmates | 0.231909 |
| jails | 0.589306 |
| correctional facilities | 0.437004 |
| Response Research Center | 0.207887 |
|
| adequate vaccine delivery | 0.211746 |
| correctional health care | 0.572096 |
| influenza vaccine | 0.241415 |
| federal prisons | 0.8211 |
| correctional health studies | 0.219051 |
| American Correctional Association | 0.286764 |
| Correctional Association National | 0.210374 |
| extent correctional facility | 0.235768 |
| vaccine | 0.477316 |
| correctional facility | 0.412077 |
| national vaccine response | 0.274342 |
| 2009 influenza pandemic | 0.277368 |
| Justice Statistics | 0.219415 |
| pandemic preparedness planning | 0.267154 |
| correctional facility response | 0.209673 |
| U.S. correctional facilities | 0.229704 |
| pandemic preparedness | 0.269622 |
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| 8096 |
Centers for Disease Control and Prevention |
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en |
Notes from the Field: Zinc Deficiency Dermatitis inCholestatic Extremely Premature Infants After a Nationwide Shortageof Injectable Zinc - Washington, DC, December 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. | 0.401171 |
| zinc deficiency dermatitis | 0.821826 |
| Human Services | 0.440826 |
| assistive technology | 0.397439 |
| MMWR HTML versions | 0.451596 |
| U.S. Department | 0.440385 |
| zinc supplementation | 0.681203 |
| perioral erosions | 0.470599 |
| low albumin binding | 0.456434 |
| electronic PDF version | 0.451224 |
| poor wound healing | 0.451872 |
| negligible tissue stores | 0.449643 |
| intensive care unit | 0.608805 |
| insufficient zinc | 0.603694 |
| zinc levels | 0.595395 |
| Wanda D. Barfield | 0.454412 |
| urinary zinc losses | 0.654167 |
| Fetal zinc accumulation | 0.658653 |
| Inadequate zinc supplementation | 0.664943 |
| shows zinc deficiency | 0.647407 |
| original paper copy | 0.445113 |
| nationwide shortage | 0.48112 |
| National Medical Center | 0.452444 |
| dorsal surfaces | 0.47771 |
|
| original MMWR paper | 0.457945 |
| U.S. Government Printing | 0.455091 |
| injectable zinc supplements | 0.717746 |
| injectable zinc | 0.856271 |
| Skin biopsy specimens | 0.460719 |
| trace element toxicity | 0.459469 |
| parenteral trace elements | 0.485498 |
| parenteral nutrition | 0.411528 |
| Scott A. Norton | 0.564247 |
| neonatal intensive care | 0.612438 |
| zinc chloride | 0.581761 |
| PN pharmacy | 0.420306 |
| subject line | 0.398574 |
| plasma zinc | 0.592363 |
| zinc sulfate | 0.583915 |
| severe cholestasis | 0.417912 |
| Chronic Disease Prevention | 0.444751 |
| skin lesions | 0.461474 |
| erosive lesions | 0.398525 |
| diaper region | 0.477583 |
| trace element products | 0.451847 |
| cholestatic infants | 0.596646 |
| NICUs caring | 0.397018 |
| extremely premature infants | 0.907201 |
|
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| 10796 |
Centers for Disease Control and Prevention |
Html |
en |
Confirmed Middle East Respiratory Syndrome Coronavirus MERS-CoV Case in Indiana, 2014 | HAN Alert |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| ill person | 0.429795 |
| CDC guidance | 0.428273 |
| viral transport medium | 0.479894 |
| Interim Infection Prevention | 0.572742 |
| Respiratory Syndrome Coronavirus | 0.611126 |
| health officials | 0.437104 |
| CDC Emergency Operations | 0.519064 |
| confirmed MERS-CoV infections | 0.536172 |
| symptomatic recent traveler | 0.506343 |
| oropharyngeal swab | 0.423685 |
| possible cases | 0.420892 |
| stool/rectal swab | 0.419197 |
| infection preventionists | 0.522009 |
| high death rates | 0.512596 |
| personal protective equipment | 0.488485 |
| nasopharyngeal swab | 0.4223 |
| Additional information | 0.731396 |
| Indiana State Department | 0.546756 |
| Public health investigations | 0.529993 |
| primary care physicians | 0.515485 |
| state public health | 0.516198 |
| PM ET | 0.41951 |
| arabian peninsula | 0.877378 |
| intensive care physicians | 0.510471 |
|
| close physical contact | 0.53057 |
| healthcare providers | 0.673111 |
| CDC Health Alert | 0.599568 |
| respiratory illness | 0.678449 |
| United States | 0.42533 |
| MERS-CoV infection control | 0.616503 |
| infection control | 0.67293 |
| local health department | 0.858322 |
| Saudi Arabia | 0.669115 |
| respiratory symptoms | 0.558186 |
| infection control precautions | 0.577763 |
| respiratory pathogens | 0.572526 |
| close contact | 0.694439 |
| local health | 0.885081 |
| local health departments | 0.800086 |
| MERS-CoV cases | 0.457732 |
| cases | 0.526679 |
| Healthcare professionals | 0.50896 |
| United Arab Emirates | 0.504089 |
| MERS-CoV infection | 0.99409 |
| common respiratory pathogens | 0.564712 |
| asymptomatic infections | 0.416602 |
| healthcare provider | 0.419461 |
| infectious disease specialists | 0.508565 |
|
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| 10974 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreak Response |
null |
| reports | 0.315981 |
| Coahuila | 0.327137 |
| bioterrorism | 0.32409 |
| BIDS sites | 0.705649 |
| Salmonella  investigations | 0.399783 |
| binational investigations | 0.446424 |
| hepatitis A outbreaks | 0.441923 |
| BIDS network | 0.586497 |
| decline | 0.318353 |
| rubella | 0.358403 |
| BIDS partners | 0.976912 |
| case | 0.316229 |
| El Paso | 0.396857 |
| California | 0.346937 |
| ongoing influenza surveillance | 0.509499 |
| cross-border preparedness | 0.409405 |
| Surveillance activities | 0.405613 |
| novel H1N1 | 0.392462 |
| viral detection | 0.394136 |
| important public health | 0.473341 |
| United States | 0.484604 |
| early warnings | 0.406588 |
| Campylobacter -Guillain-Barré syndrome | 0.477303 |
| C. | 0.316833 |
|
| Mexicali | 0.327893 |
| burden | 0.321239 |
| local health department | 0.493716 |
| epidemiology | 0.317603 |
| Mexican soft cheese | 0.473001 |
| key examples | 0.413002 |
| Rocky Mountain | 0.388979 |
| locally acquired dengue | 0.545088 |
| northern border region | 0.499075 |
| elimination | 0.319046 |
| Sonora | 0.318967 |
| border region | 0.624092 |
| Texas/Tamaulipas | 0.316258 |
| staff | 0.317216 |
| binational dengue outbreak | 0.587297 |
| brown dog ticks | 0.479258 |
| dengue hemorrhagic fever | 0.76136 |
| key role | 0.413381 |
| West Nile virus | 0.478303 |
| northern Mexican states | 0.476315 |
| Mexico | 0.331979 |
| pandemic H1N1 investigation | 0.473766 |
| green onions | 0.400321 |
| control efforts | 0.40929 |
|
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| 12317 |
Centers for Disease Control and Prevention |
Html |
es |
Publicaciones de NIOSH - El Estrés...En el Trabajo 99-101 |
null |
| link updated | 0.461193 |
| mala práctica | 0.458144 |
| Archivo Adobe PDF | 0.427267 |
| Archivo Microsoft | 0.484475 |
| Joseph Hurrell | 0.432582 |
| la compañÃa | 0.489543 |
| Medicina Ocupacional | 0.469745 |
| largo plazo | 0.516163 |
| Toni Alterman | 0.431801 |
| Linda Goldenhar | 0.430063 |
| Corporación Financiera Reliastar | 0.432888 |
| Archivo Microsoft Excel | 0.426994 |
| Salud Ocupacional | 0.467442 |
| Naomi Swanson | 0.431088 |
| trabajo americano iii | 0.534395 |
| mala salud | 0.492357 |
| Instituto Nacional | 0.48375 |
| estrés—por ejemplo | 0.432814 |
| Paula Grubb | 0.431486 |
| Archivo Microsoft PowerPoint | 0.429213 |
| salud mental | 0.476166 |
| Frederick Scharf | 0.431249 |
| Vida Nacional Noroeste | 0.970353 |
| efectos beneficios | 0.429034 |
| La CompañÃa Marlin | 0.430101 |
|
| NIOSH colabora | 0.4445 |
| Archivo Apple Quicktime | 0.428315 |
| malo necesario—que | 0.428705 |
| doce horas | 0.427204 |
| Lawrence Murphy | 0.428929 |
| Raymond Sinclair | 0.430172 |
| Anne Hamilton | 0.429745 |
| compañÃa manufacturera | 0.460539 |
| Archivo Microsoft Word | 0.429049 |
| condiciones problemáticas | 0.445414 |
| nocivas reacciones | 0.429671 |
| Labor Statistics | 0.427061 |
| Julie Tisdale | 0.429711 |
| mal descanso | 0.429932 |
| Janet Johnston | 0.430326 |
| facultad diera clases | 0.437694 |
| presentes problemas | 0.437865 |
| corto plazo | 0.517366 |
| llamadas causas | 0.426685 |
| La Salud Mental | 0.440407 |
| Michael Colligan | 0.430905 |
| seguridad ocupacional | 0.843513 |
| Archivo Zip Comprimido | 0.428283 |
| factores—el tamaño | 0.424815 |
|
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| 13492 |
Centers for Disease Control and Prevention |
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en |
Community Preventive Services Task Force Issues 2014-2015Annual Report to Congress |
The Community Preventive Services Task Force recently posted a new report on its website: 2014–2015 Annual Report to Congress, Federal Agencies, and Prevention Stakeholders. This report includes a special update on task force recommendations to prevent cancers and is available at http://www.thecommunityguide. |
| prevention experts | 0.598688 |
| CDC | 0.633178 |
| endorsement | 0.552678 |
| Human Services | 0.76824 |
| research | 0.515639 |
| U.S. Department | 0.772473 |
| MMWR HTML versions | 0.667458 |
| task force | 0.934347 |
| electronic PDF version | 0.659931 |
| review | 0.515524 |
| members | 0.516029 |
| Preventive | 0.518233 |
| population health | 0.601368 |
| http://www.thecommunityguide.org/annualreport | 0.517163 |
| task force recommendations | 0.760225 |
| Contact GPO | 0.612155 |
| Director | 0.516004 |
| commercial sources | 0.59513 |
| decision makers | 0.595211 |
| current prices | 0.588432 |
| original paper copy | 0.657753 |
| cancers | 0.519652 |
| programs | 0.530446 |
| Federal Agencies | 0.607783 |
|
| Annual Report | 0.609298 |
| U.S. Government Printing | 0.661181 |
| policies | 0.515806 |
| Superintendent | 0.518041 |
| unpaid panel | 0.602572 |
| MMWR readers | 0.597073 |
| character translation | 0.588693 |
| technical support | 0.59674 |
| MMWR paper copy | 0.663726 |
| public health | 0.606146 |
| special update | 0.604242 |
| format errors | 0.591837 |
| website | 0.51745 |
| approval | 0.516894 |
| typeset documents | 0.595322 |
| Prevention Stakeholders | 0.611669 |
| trade names | 0.595222 |
| Services Task Force | 0.772406 |
| official text | 0.58718 |
| non-CDC sites | 0.593156 |
| new report | 0.609534 |
| information | 0.515856 |
| electronic conversions | 0.588109 |
| printable versions | 0.584995 |
|
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| 13564 |
Centers for Disease Control and Prevention |
Html |
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State exemption levels low, national vaccination rates high | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Mortality Weekly Report | 0.812467 |
| CDC’s National | 0.329266 |
| Vaccine Conversations | 0.307684 |
| large numbers | 0.286869 |
| children ages | 0.305639 |
| disease outbreaks | 0.308733 |
| percent | 0.336774 |
| states | 0.281443 |
| Vaccine exemption levels | 0.712316 |
| vaccination coverage | 0.552059 |
| immunization programs | 0.320907 |
| exemption levels | 0.962574 |
| important change | 0.292477 |
| National Immunization Survey | 0.450178 |
| future outbreaks | 0.326001 |
| Provider Resources | 0.272753 |
| Weekly Report website | 0.420681 |
| unvaccinated people | 0.282826 |
| varicella vaccines | 0.310646 |
|
| community immunity | 0.295053 |
| infant vaccination rates | 0.580773 |
| herd immunity | 0.294794 |
| local coverage | 0.292168 |
| median level | 0.328032 |
| guides vaccination policies | 0.513446 |
| vaccine website | 0.462748 |
| Anne Schuchat | 0.288097 |
| state exemption levels | 0.623525 |
| local pockets | 0.286773 |
| Respiratory Diseases | 0.292385 |
| exemption data | 0.598458 |
| 2014-2015 school | 0.318476 |
| reporting standards | 0.302587 |
| child’s doctor | 0.280218 |
| exemption data online | 0.593494 |
| measles | 0.255527 |
| Collaborative efforts | 0.282094 |
| high coverage rates | 0.44237 |
|
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