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Centers for Disease Control and Prevention |
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MMWR News Synopsis: January 30, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| public health emergencies. | 0.385536 |
| Rotavirus Oral Vaccine | 0.335363 |
| Zika virus | 0.249161 |
| Ebola virus | 0.24562 |
| response capacity | 0.259923 |
| vaccination coverage | 0.238862 |
| hepatitis E virus | 0.246045 |
| global responsibility | 0.231895 |
| early detection | 0.337142 |
| priority diseases | 0.238947 |
| international airport screening | 0.33097 |
| outbreak response | 0.232948 |
| significant burden | 0.250678 |
| public health emergencies | 0.379778 |
| HPV-associated cancers | 0.242354 |
| Quadrivalent vaccine | 0.24756 |
| HPV vaccines | 0.389952 |
| Syndrome Coronavirus infection | 0.340955 |
| public health EOC | 0.442145 |
| health security demonstration | 0.406848 |
| CDC Media Relations | 0.797078 |
| International Health Regulations | 0.580064 |
| greater global health | 0.388988 |
| health system capacity | 0.440492 |
|
| global health security | 0.903415 |
| priority infectious diseases | 0.33385 |
| substantial burden | 0.241014 |
| less-than-desired HPV vaccination | 0.453158 |
| Uganda Ministry | 0.283422 |
| demonstration project | 0.342895 |
| genital warts | 0.237822 |
| Immunization Practices | 0.240332 |
| Advisory Committee | 0.23984 |
| remote locations | 0.230908 |
| public health threats | 0.399703 |
| viral hemorrhagic fever | 0.339112 |
| response capabilities | 0.242026 |
| female adolescents | 0.232587 |
| information systems | 0.469231 |
| public health emergency | 0.379411 |
| National data | 0.236115 |
| public health | 0.669643 |
| disease threats | 0.230266 |
| Hemorrhagic Fever virus | 0.370242 |
| 12-year-old boys | 0.257312 |
| considerable systems improvements | 0.32695 |
| West Nile virus | 0.354962 |
| Uganda | 0.291192 |
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Advance Care Planning: For You, For Your Family | CDC Features |
April 16 is National Healthcare Decisions day, a time to raise awareness about the importance of advance care plans. Sometimes called an advance directive or living will, an advance care plan is a way to plan ahead for your medical care in case you cannot make your wishes known. This kind of planning can be a gift for your family. |
| National Healthcare Decisions | 0.810436 |
| online course | 0.385411 |
| treatment | 0.332711 |
| unique positions | 0.387806 |
| CDC | 0.316664 |
| importance | 0.317225 |
| Professionals | 0.315909 |
| questions | 0.317247 |
| video | 0.331604 |
| behalf | 0.316833 |
| life | 0.318436 |
| education credits | 0.387514 |
| right thing | 0.394248 |
| awareness | 0.319021 |
| Decisions Day site | 0.401891 |
| wishes | 0.373654 |
| health care providers | 0.478875 |
| advance care planning | 0.754749 |
| advance care form | 0.523013 |
| value | 0.349915 |
| public health | 0.383257 |
| case | 0.318729 |
|
| family members | 0.576307 |
| mind | 0.31754 |
| preferences | 0.373951 |
| living | 0.318839 |
| kind | 0.318466 |
| hospital stays | 0.487208 |
| Talk | 0.316102 |
| ones peace | 0.39823 |
| advance care | 0.9795 |
| unnecessary medical expenses | 0.634402 |
| medical care | 0.408876 |
| way | 0.318784 |
| lack | 0.31832 |
| advance care plans | 0.56872 |
| economic consequences | 0.396955 |
| advance care plan | 0.673339 |
| time | 0.338404 |
| advance care forms | 0.521415 |
| advance directive | 0.476582 |
| confusion | 0.319861 |
| nursing homes | 0.474707 |
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Global Health - Kyrgyzstan |
CDC has been collaborating with Ministry of Health in the Kyrgyz Republic since 1995 to better recognize and respond to serious public health threats. |
| CDC | 0.787203 |
| endorsement | 0.432909 |
| IBBS | 0.498617 |
| EHCMS | 0.436224 |
| Laboratory Training Program | 0.642376 |
| Kazakhstan | 0.518775 |
| nation-wide implementation | 0.644668 |
| capacity | 0.456621 |
| epidemiologists | 0.440063 |
| Content source | 0.524637 |
| HHS | 0.435515 |
| FELTP | 0.42161 |
| Notice | 0.42298 |
| public health threats | 0.91161 |
| sponsors | 0.420347 |
| Download Overview Fact | 0.647973 |
| electronic HIV case-management | 0.64523 |
| control disease | 0.53734 |
|
| Kyrgyzstan | 0.533886 |
| modern methods | 0.532815 |
| assessments | 0.449037 |
| Uzbekistan | 0.429024 |
| deficiencies | 0.428117 |
| Kyrgyz Republic | 0.719705 |
| Central Asia Regional | 0.65873 |
| country office | 0.53389 |
| non-federal site | 0.540778 |
| activities | 0.423036 |
| CDC/CAR | 0.421718 |
| HIV Integrated Bio-Behavioral | 0.659166 |
| new standard operating | 0.624906 |
| Field Epidemiology | 0.547059 |
| employees | 0.42038 |
| Sheet | 0.422131 |
| Tajikistan | 0.430986 |
|
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CDC Test for Dengue Fever Approved - CDC Works For You 24/7 |
CDC Works For You 24/7 Saving Lives -CDC Test for Dengue Fever Approved - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. |
| increasingly critical threat | 0.259601 |
| frequently used flu | 0.241513 |
| United States | 0.31967 |
| dengue virus | 0.619044 |
| CDC dengue website | 0.517667 |
| dengue virus types | 0.567769 |
| Jorge L. Munoz-Jordan | 0.24749 |
| deadly viral disease | 0.274292 |
| dengue | 0.9314 |
| -approved molecular test | 0.26221 |
| dengue hemorrhagic fever | 0.761732 |
| new test | 0.251126 |
|
| dengue fever | 0.498395 |
| dengue diagnostic test | 0.548521 |
| Dengue Branch | 0.466919 |
| new laboratory test | 0.2592 |
| new diagnostic test | 0.273054 |
| potentially deadly dengue | 0.606876 |
| dengue viruses | 0.49232 |
| public health laboratories | 0.370269 |
| public health worldwide | 0.26241 |
| timely medical care | 0.237339 |
| dengue cases | 0.463307 |
|
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Centers for Disease Control and Prevention |
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Jaundice and Kernicterus, HCP - NCBDDD |
null |
| glucose-6-phosphate dehydrogenase | 0.285882 |
| risk assessment | 0.213255 |
| American Academy | 0.222717 |
| health care provider | 0.428507 |
| View Webcast | 0.232722 |
| Children’s Hospital | 0.212545 |
| blood type incompatibility | 0.484842 |
| written information | 0.245659 |
| systematic assessment | 0.214468 |
| Disease Control | 0.266337 |
| genetic disorder | 0.229517 |
| severe hyperbilirubinemia | 0.708349 |
| bilirubin encephalopathy | 0.279012 |
| Unrecognized hemolysis | 0.251014 |
| exchange transfusion | 0.22663 |
|
| Health care providers | 0.469896 |
| gestational age | 0.2279 |
| Bilirubin levels | 0.306071 |
| Nonoptimal sucking/nursing | 0.243692 |
| newborn infants | 0.239663 |
| health care | 0.48427 |
| risk factors | 0.424513 |
| irreversible effects | 0.283932 |
| successful breastfeeding | 0.220675 |
| routine follow-up visits | 0.459642 |
| quantitative measurement | 0.24199 |
| Early hyperbilirubinemia detection | 0.940796 |
| Pediatrics Practice Guidelines | 0.406245 |
| Mediterranean descent | 0.237059 |
| jaundice assessment | 0.374762 |
|
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Marie's Biography - Marie's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Marie, a former smoker with Buerger's disease who is featured in CDC's Tips from Former Smokers campaign. |
| high school | 0.771758 |
| feet | 0.657819 |
| hands | 0.624899 |
| Buerger’s disease | 0.755381 |
| office | 0.627099 |
| fingers | 0.630651 |
| New York City | 0.877614 |
| mother | 0.62578 |
| problem | 0.657334 |
| Smokers® campaign | 0.738683 |
| unsuccessful attempt | 0.752375 |
| Marie’s body | 0.863691 |
| voracious reader | 0.75219 |
| family members | 0.770284 |
| brokerage house | 0.750069 |
| left leg | 0.740458 |
| grandchildren | 0.63509 |
| relapse | 0.635238 |
| work | 0.627689 |
| blood vessels | 0.741191 |
| diagnosis | 0.627373 |
| fingertips | 0.634423 |
| packs | 0.628574 |
| friends | 0.657005 |
|
| great-grandchildren | 0.625232 |
| Marie | 0.991702 |
| symptoms | 0.627483 |
| below-the-knee amputation | 0.756568 |
| key puncher | 0.770271 |
| something—an issue | 0.755209 |
| colleagues | 0.630675 |
| parts | 0.625037 |
| cigarettes | 0.633092 |
| right foot | 0.734804 |
| infection | 0.625506 |
| lower legs | 0.747505 |
| exercise | 0.625343 |
| times | 0.629467 |
| gangrene | 0.637059 |
| smoking | 0.657736 |
| kids—would | 0.627643 |
| lunch breaks | 0.75391 |
| walks | 0.629746 |
| doctor | 0.627405 |
| disorder | 0.625794 |
| painkillers | 0.638182 |
| time | 0.683474 |
| Tips | 0.624784 |
|
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Announcements: New Laboratory Informatics Self-AssessmentTool |
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. | 0.504523 |
| endorsement | 0.45082 |
| Human Services | 0.576993 |
| assistive technology | 0.509972 |
| U.S. Department | 0.573519 |
| MMWR HTML versions | 0.564211 |
| electronic PDF version | 0.556835 |
| e-mail | 0.432991 |
| downloadable PDF file | 0.570826 |
| state | 0.415959 |
| informatics self-assessment tool | 0.627501 |
| valuable assessment | 0.494833 |
| broad range | 0.498145 |
| resource | 0.41575 |
| Contact GPO | 0.510122 |
| commercial sources | 0.492839 |
| clinical laboratories | 0.52316 |
| current prices | 0.487448 |
| laboratory | 0.415987 |
| original paper copy | 0.555252 |
| public health laboratories | 0.938226 |
| U.S. Government Printing | 0.556833 |
| informatics capabilities | 0.603508 |
| Superintendent | 0.417626 |
|
| assistance | 0.417209 |
| title | 0.416183 |
| MMWR readers | 0.494759 |
| character translation | 0.487279 |
| Association | 0.416028 |
| MMWR paper copy | 0.560796 |
| Persons | 0.417388 |
| comprehensive manner | 0.496778 |
| format errors | 0.489953 |
| http://www.aphl.org/aphlprograms/lss/laboratory-efficiencies-initiative/pages/informatics.aspx | 0.41515 |
| subject line | 0.499782 |
| nature | 0.415368 |
| topics | 0.415876 |
| typeset documents | 0.493334 |
| trade names | 0.492921 |
| official text | 0.485959 |
| gaps | 0.418655 |
| local public health | 0.596784 |
| non-CDC sites | 0.490998 |
| informatics experts | 0.520666 |
| report | 0.416169 |
| information | 0.417334 |
| Accommodation | 0.416197 |
| electronic conversions | 0.486393 |
|
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Millions of children not getting recommended preventive care | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Stuart K. Shapira | 0.406739 |
| Mortality Weekly Report | 0.430774 |
| CDC’s National | 0.439768 |
| Birth Defects | 0.411335 |
| preventive dental services | 0.510377 |
| health plans | 0.37182 |
| hypertension screening | 0.385571 |
| Disease Control | 0.367718 |
| children | 0.461214 |
| health care providers | 0.427861 |
| newborn hearing screening | 0.434968 |
| National Center | 0.411812 |
| Hispanic children | 0.372242 |
| various forms | 0.367266 |
| population health | 0.371892 |
| Affordable Care Act | 0.688677 |
| vital services | 0.376698 |
| vision screening | 0.432199 |
| lead screening | 0.386468 |
| clinical settings | 0.379091 |
| vital preventive services | 0.491111 |
| public health agencies | 0.416398 |
| health protection agency | 0.414866 |
| Developmental Disabilities | 0.409858 |
|
| United States | 0.367884 |
| dental care | 0.42641 |
| uninsured children | 0.374915 |
| expensive medical care | 0.429296 |
| developmental screening | 0.389206 |
| topical fluoride application | 0.410139 |
| preventive care | 0.434473 |
| blood pressure measurement | 0.408059 |
| health security | 0.373814 |
| reproductive health services | 0.459013 |
| clinical preventive services | 0.909255 |
| public health | 0.417538 |
| non-Hispanic children | 0.376983 |
| chlamydia screening | 0.387442 |
| developmental delays | 0.363249 |
| insured children | 0.373391 |
| prenatal breastfeeding counseling | 0.412314 |
| tobacco use screening | 0.383321 |
| human papillomavirus vaccination | 0.416529 |
| U.S. population | 0.404693 |
| allied health providers | 0.442011 |
| new health insurance | 0.419022 |
| CDC report | 0.40839 |
| cessation assistance | 0.421977 |
|
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The Role of Family History in Breast Cancer |
Genetic counselor Joyce Turner, MSC, CGC, explains how family history of breast cancer may indicate inherited changes in genes that increase your personal risk for breast cancer. Turner offers action steps you can take if you have concerns about your personal risk of breast cancer.
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/BringYourBrave/Genetic_Counselor/RoleFamilyHistory/RoleFamilyHistory_lowRes.mp4 |
| Role | 0.236696 |
| Family History | 0.739098 |
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Centers for Disease Control and Prevention |
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Association Between Student Purchases of Beverages Duringthe School Commute and In-School Consumption of Sugar-SweetenedBeverages, San Francisco Bay Area, 2013 |
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. |
| francisco bay area | 0.440791 |
| white students | 0.384272 |
| school enrollment rosters | 0.381377 |
| School Lunch Program | 0.421962 |
| ethnically diverse communities | 0.39832 |
| healthy beverages | 0.384965 |
| logistic regression | 0.423848 |
| beverages | 0.607877 |
| San Francisco Bay | 0.438338 |
| energy drinks | 0.405215 |
| male students | 0.385609 |
| SSB consumption | 0.627381 |
| flavored bottled water | 0.426578 |
| Hunger-Free Kids Act | 0.389472 |
| water promotion intervention | 0.444875 |
| schools | 0.436002 |
| female students | 0.384734 |
| diverse middle school | 0.393444 |
| sociodemographic characteristics | 0.461321 |
| beverage consumption patterns | 0.406684 |
| youth SSB consumption | 0.3973 |
| beverages schools | 0.383183 |
| National School Lunch | 0.421965 |
| study | 0.421262 |
| control group students | 0.39733 |
|
| children’s SSB | 0.393816 |
| United States | 0.380287 |
| students | 0.916536 |
| school commute | 0.631364 |
| calorically sweetened beverages | 0.392159 |
| electrolyte replacement beverages | 0.400101 |
| school lunchtime | 0.939297 |
| sugar-sweetened beverages | 0.412896 |
| R. Lee Institute | 0.379392 |
| school district research | 0.391778 |
| SSBs students | 0.384004 |
| beverage consumption | 0.429843 |
| survey data | 0.382238 |
| sports drinks | 0.496763 |
| middle school students | 0.468817 |
| stores | 0.384462 |
| Asian students | 0.384235 |
| data collection | 0.407412 |
| Philip R. Lee | 0.3774 |
| SSB intake | 0.414338 |
| San Francisco | 0.468212 |
| study schools | 0.389501 |
| in-school SSB consumption | 0.417677 |
| school sources | 0.426482 |
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