| 773 |
Centers for Disease Control and Prevention |
Html |
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Announcements: National Birth Defects Prevention Month andFolic Acid Awareness Week - January 2014 |
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. | 0.564314 |
| Obstet Gynecol | 0.554056 |
| Boniface S. Maternal | 0.602557 |
| early pregnancy | 0.556956 |
| Human Services | 0.590076 |
| assistive technology | 0.562985 |
| neural tube defects | 0.672759 |
| Gilboa SM | 0.557018 |
| varied diet | 0.55352 |
| infant mortality | 0.557737 |
| National Birth Defects | 0.706654 |
| MMWR HTML versions | 0.597434 |
| U.S. Department | 0.589596 |
| alcohol spectrum disorder | 0.593622 |
| Health-care professionals | 0.561997 |
| electronic PDF version | 0.596943 |
| U.S. children | 0.562433 |
| fortified foods | 0.555182 |
| major birth defects | 0.697564 |
| health conditions | 0.557482 |
| Additional information | 0.608915 |
| outpatient care | 0.555169 |
| Contact GPO | 0.561036 |
| Tennant PWG | 0.552914 |
|
| over-the-counter medications | 0.554173 |
| critical birth defects | 0.706215 |
| National Folic Acid | 0.640492 |
| original paper copy | 0.594147 |
| blood glucose | 0.555369 |
| United States | 0.614379 |
| original MMWR paper | 0.601214 |
| U.S. Government Printing | 0.599182 |
| J. Maternal overweight | 0.601177 |
| MMWR readers | 0.5553 |
| Health-care providers | 0.562851 |
| Besser LM | 0.557212 |
| folic acid | 0.719745 |
| Nordstrom B. Fetal | 0.602834 |
| subject line | 0.562595 |
| Diabetes mellitus | 0.552965 |
| infant deaths | 0.556914 |
| Hum Reprod Update | 0.596146 |
| Stothard KJ | 0.55361 |
| healthy weight | 0.552656 |
| systematic review | 0.603255 |
| birth defects | 0.915068 |
| Sokol RJ | 0.557059 |
| total hospital costs | 0.603525 |
|
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| 5953 |
Centers for Disease Control and Prevention |
Html |
en |
Sulprofos - 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 |
|
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| 6244 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Detectives - Solving High-Stakes Mysteries around the World |
CDC Works For You 24/7 Saving Lives - CDC's Disease Detectives: Global Health Sleuths Battle Contagion Worldwide; In Steven Soderbergh's new thriller Contagion, to be released September 9, Dr Erin Mears, played by Kate Winslet, is a disease detective, racing to help stop the lethal devastation unleashed by an unknown, airborne virus. |
| Dr. Joshua Schier | 0.721977 |
| CDC′s deployment team | 0.733215 |
| Infectious Disease | 0.620327 |
| risk communication specialist | 0.708575 |
| CDC′s response | 0.637362 |
| diethylene glycol | 0.614766 |
| Health Studies Branch | 0.724058 |
| medical samples | 0.61598 |
| West Nile Virus | 0.718583 |
| international help | 0.625238 |
| Social Security hospital | 0.723492 |
| Dr. Carol Rubin | 0.695584 |
| simple cough syrup | 0.706988 |
| U.S. Food | 0.632119 |
| poisoning sources—and | 0.610538 |
| round–the–clock evidence gathering | 0.701155 |
| Dengue fever | 0.637259 |
| blood pressure medication | 0.702811 |
| seriously ill patients | 0.741333 |
| mystery disease | 0.617836 |
| Latin American nation | 0.749027 |
| American Health Organization | 0.776132 |
| Camilo Alleyne | 0.657244 |
| CDC′s Center | 0.629636 |
|
| CDC′s Global Disease | 0.740266 |
| healthcare providers | 0.611104 |
| Emergency Response | 0.61096 |
| kidney failure | 0.633528 |
| Gorgas Memorial Institute | 0.760624 |
| Drug Administration | 0.632045 |
| Special Pathogens Branch | 0.704565 |
| kidney disorders | 0.637403 |
| bi–lingual epidemiologist | 0.613315 |
| first–year EIS officer | 0.720162 |
| unknown killer | 0.621574 |
| solid epidemiological detective | 0.704978 |
| first–year officer | 0.616428 |
| CDC team | 0.650219 |
| medical epidemiologists | 0.624877 |
| patients′ homes | 0.609778 |
| Panama City | 0.687142 |
| suspicious pattern | 0.620486 |
| numerous deaths | 0.632897 |
| deadly culprit | 0.616777 |
| Rima Khabbaz | 0.623557 |
| high blood pressure | 0.912688 |
| Deputy Director | 0.625566 |
| mystery illness | 0.630121 |
|
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| 8512 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Repeat Births Among Teens - United States,2007-2010 |
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. |
| sexually active teen | 0.402315 |
| effective contraceptive methods | 0.41138 |
| teen mothers | 0.901347 |
| New York City | 0.508622 |
| Closely spaced births | 0.317925 |
| birth control methods | 0.320574 |
| repeat childbearing | 0.308431 |
| parenting teens | 0.328314 |
| postpartum contraception | 0.305774 |
| percentage | 0.315262 |
| teen pregnancy rates | 0.33605 |
| American Indian/Alaska Natives | 0.350614 |
| non-hispanic black teens | 0.377119 |
| active teen mothers | 0.416944 |
| contraception | 0.357246 |
| potential negative health | 0.302947 |
| birth control | 0.414374 |
| oral contraceptive pills | 0.419277 |
| birth control patch | 0.30823 |
| repeat birth | 0.397164 |
| repeat teen birth | 0.49948 |
| effective methods postpartum | 0.315759 |
| repeat teen pregnancy | 0.47065 |
| recent live birth | 0.335139 |
| repeat teen births | 0.76002 |
|
| teen births | 0.843803 |
| effective methods | 0.587573 |
| overall teen birth | 0.331463 |
| teens | 0.443343 |
| states | 0.310124 |
| Pregnancy Risk Assessment | 0.342354 |
| long-acting reversible contraception | 0.302594 |
| repeat births | 0.662535 |
| live birth | 0.465072 |
| PRAMS data | 0.346458 |
| previous live birth | 0.317498 |
| teen birth rates | 0.417805 |
| Teen pregnancy prevention | 0.313936 |
| moderately effective contraceptive | 0.300921 |
| moderately effective methods | 0.344363 |
| effective birth control | 0.324156 |
| repeat teen childbearing | 0.479201 |
| PRAMS | 0.349476 |
| contraceptive methods postpartum | 0.330571 |
| vital statistics | 0.301928 |
| New Hampshire | 0.317488 |
| postpartum teen mothers | 0.356728 |
| Risk Assessment Monitoring | 0.34118 |
| low birth weight | 0.324328 |
|
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| 10014 |
Centers for Disease Control and Prevention |
Html |
en |
Rates of new lung cancer cases drop in U.S. men and women | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| preventable cancer | 0.366296 |
| Mortality Weekly Report | 0.395145 |
| past tobacco prevention | 0.414475 |
| control programs | 0.350666 |
| lung cancer | 0.969968 |
| community engagement campaigns | 0.375206 |
| cancer incidence rates | 0.649961 |
| tobacco prevention | 0.458394 |
| tobacco prices | 0.376873 |
| Director Tom Frieden | 0.392984 |
| commonly diagnosed cancer | 0.400277 |
| lung cancers | 0.44627 |
| hard-hitting mass media | 0.379563 |
| Affordable Care Act | 0.373537 |
| age groups | 0.347101 |
| young adults | 0.385099 |
| Cancer Registries | 0.361201 |
| women | 0.42956 |
| tobacco control strategies | 0.423316 |
| smoking prevalence | 0.396886 |
| earlier CDC study | 0.38407 |
| major impact | 0.351956 |
| United States | 0.513597 |
| comprehensive smoke-free laws | 0.379137 |
| tobacco advertising | 0.376759 |
|
| percent | 0.349616 |
| tobacco revenues | 0.381321 |
| U.S. Census regions | 0.376824 |
| cigarette smoking | 0.395531 |
| slightly lower rates | 0.388145 |
| dramatic declines | 0.350266 |
| Tobacco control efforts | 0.437966 |
| men | 0.429652 |
| National Cancer Institute | 0.398198 |
| cancer death | 0.363794 |
| subsequent lung cancer | 0.450885 |
| lung-cancer data | 0.351215 |
| smoking behaviors | 0.358658 |
| new lung cancers | 0.442748 |
| tobacco use screenings | 0.373817 |
| End Results program | 0.380697 |
| health care coverage | 0.375299 |
| new lung cancer | 0.483503 |
| new analysis | 0.353101 |
| lung cancer incidence | 0.820025 |
| new report | 0.346552 |
| important preventive services | 0.374831 |
| Dr. Frieden | 0.352232 |
| tobacco control | 0.463297 |
|
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| 10114 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Percentage of Office-Based Physicians with Electronic Health Record (EHR) Systems - National Ambulatory Medical Care Survey,* United States, 2006-2013 |
* A sample survey of office-based physicians. |
| comprehensive т€œbasic systemт€� | 0.829693 |
| endorsement | 0.584914 |
| MPH | 0.53712 |
| Alternate Text | 0.678961 |
| Human Services | 0.80387 |
| patient history | 0.695104 |
| EHR | 0.708965 |
| MMWR HTML versions | 0.813014 |
| U.S. Department | 0.797972 |
| identification | 0.528608 |
| electronic PDF version | 0.807915 |
| percentage | 0.643121 |
| sample survey | 0.706861 |
| prescriptions | 0.537531 |
| Contact GPO | 0.708091 |
| commercial sources | 0.676486 |
| imaging results | 0.691325 |
| current prices | 0.667323 |
| laboratory | 0.531064 |
| patient problem lists | 0.856309 |
| original paper copy | 0.795441 |
| computerized orders | 0.684311 |
| electronic health record | 0.848179 |
| allergies | 0.531303 |
|
| United States | 0.68242 |
| original MMWR paper | 0.806074 |
| U.S. Government Printing | 0.799765 |
| Superintendent | 0.532947 |
| office-based physicians | 0.924152 |
| Esther Hing | 0.698096 |
| patient medications | 0.691792 |
| physician clinical notes | 0.853825 |
| Chun-Ju Hsiao | 0.703833 |
| MMWR readers | 0.680283 |
| character translation | 0.666562 |
| systems | 0.529626 |
| format errors | 0.67028 |
| following functionalities | 0.69591 |
| typeset documents | 0.677046 |
| trade names | 0.676631 |
| health record | 0.871796 |
| official text | 0.662983 |
| non-CDC sites | 0.6731 |
| Nearly half | 0.869034 |
| cdc.gov | 0.557036 |
| comprehensive list | 0.694442 |
| electronic conversions | 0.671689 |
| printable versions | 0.659269 |
|
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| 11038 |
Centers for Disease Control and Prevention |
Html |
en |
Opioid painkiller prescribing varies widely among states | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| high rates | 0.457018 |
| United States. | 0.456131 |
| Mortality Weekly Report | 0.50154 |
| CDC’s National | 0.476736 |
| Daniel M. Sosin | 0.498424 |
| Health National Prescription | 0.568229 |
| frequently. States | 0.46291 |
| state-run health plans | 0.507824 |
| long-acting/extended-release painkillers | 0.524762 |
| opioid painkillers | 0.600433 |
| prescription drug overdoses | 0.553052 |
| percent increase | 0.456202 |
| highest prescribing state | 0.538202 |
| Disease Control | 0.461333 |
| CDC journal Morbidity | 0.517932 |
| Health care providers | 0.602741 |
| prescriptions | 0.525495 |
| Examiners Commission data | 0.507565 |
| CDC Director Tom | 0.527101 |
| commercial vendor. CDC | 0.525235 |
| health status | 0.469741 |
| prescription drug monitoring | 0.551802 |
| substance abuse treatment | 0.487533 |
| specific prescription painkillers | 0.63243 |
| death rates | 0.463623 |
|
| highest prescribing states | 0.541688 |
| better health outcomes | 0.505417 |
| inappropriate prescribing | 0.46478 |
| Previous research | 0.507204 |
| United States | 0.503109 |
| death rate | 0.495152 |
| vehicle passenger safety | 0.490425 |
| cardiovascular health | 0.45918 |
| painkiller prescriptions | 0.512094 |
| prescription drug overdose | 0.911804 |
| Audit data | 0.459204 |
| state-run databases | 0.457079 |
| latest data | 0.456202 |
| prescription painkiller overdose | 0.626009 |
| key health indicators | 0.501475 |
| Vital Signs report | 0.709016 |
| high-dose painkillers | 0.527393 |
| drug overdose death | 0.585659 |
| regional variation | 0.465711 |
| particularly hard look | 0.496903 |
| drug overdose trends | 0.583466 |
| lowest prescribing state | 0.53651 |
| CDC report | 0.484537 |
| state variation | 0.556944 |
|
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| 12187 |
Centers for Disease Control and Prevention |
Video |
en |
Do You Know BRCA? Video Infographic |
Do You Know BRCA? This video will introduce you to KnowBRCA, the free, confidential web tool that CDC offers to help women assess their risk of having a BRCA gene mutation. The tool also provides information about actions women can take if they are at increased risk for a BRCA gene mutation. This brief infographic video will help you learn more information about BRCA genes, BRCA gene mutations, and how they are related hereditary breast and ovarian cancer in young women.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/cancer/videos/breast/KnowBRCA/KnowBRCA_256Kbps.mp4 |
| Video Infographic | 0.768887 |
|
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CLICK HERE |
| 12823 |
Centers for Disease Control and Prevention |
Image |
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U.S. Measles Multi-State Measles Outbreak (725W x 380H) |
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CLICK HERE |
| 14281 |
Centers for Disease Control and Prevention |
Html |
en |
Traumatic Brain Injury | Concussion | Traumatic Brain Injury | CDC Injury Center |
null |
| CDC | 0.634645 |
| disruption | 0.535872 |
| traumatic brain injury | 0.993325 |
| head injury | 0.71232 |
| research | 0.462838 |
| especially children | 0.735667 |
| older adults | 0.75742 |
|
| bump | 0.536671 |
| TBI | 0.79936 |
| risk | 0.463096 |
| programs | 0.46264 |
| jolt | 0.537117 |
| blow | 0.516279 |
| normal function | 0.818868 |
|
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