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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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Chemical Agents: Facts About Evacuation |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.31918 |
| portable supply kit | 0.504747 |
| offices | 0.320577 |
| train derailment | 0.438149 |
| international organizations | 0.408126 |
| radio | 0.3442 |
| emergency coordinators | 0.913226 |
| Disease Control | 0.40924 |
| school | 0.37856 |
| children | 0.338999 |
| attacks | 0.321757 |
| television broadcasts | 0.416202 |
| medications | 0.319686 |
| homes | 0.320585 |
| television emergency broadcast | 0.538638 |
| special instructions | 0.415165 |
| healthy living | 0.405595 |
| local emergency coordinators | 0.761783 |
| messages | 0.319088 |
| law enforcement personnel | 0.518607 |
| Centers | 0.319108 |
| people’s health | 0.405274 |
| code | 0.321435 |
| emergency shelter | 0.593837 |
| kinds | 0.320539 |
|
| immediate area | 0.56003 |
| enhances health decisions | 0.495138 |
| Prevention | 0.319086 |
| critical health issues | 0.494914 |
| credible information | 0.412236 |
| government | 0.321613 |
| terrorist incident | 0.43525 |
| local police | 0.427189 |
| place | 0.321117 |
| local coordinators | 0.500604 |
| chemical accidents | 0.431416 |
| Local telephone lines | 0.50331 |
| emergency people | 0.436947 |
| particular situation | 0.420411 |
| cases | 0.3239 |
| local elected leaders | 0.522024 |
| private transportation | 0.408523 |
| way | 0.319392 |
| home | 0.335809 |
| strong partnerships | 0.404208 |
| evacuation order | 0.424111 |
| out-of-state contact | 0.413168 |
| attention | 0.319269 |
| risk | 0.321002 |
|
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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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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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Hospitals | Ebola Virus Disease |
null |
| Ebola Virus Infection | 0.674156 |
| Interim U.S. Guidance | 0.482936 |
| Ebola Questions | 0.638441 |
| Africa Ebola Outbreak | 0.693887 |
| Confirmed Ebola Patients | 0.661801 |
| Previous Outbreak Updates | 0.483176 |
| Interfacility Transport Guidance | 0.473878 |
| Potential Ebola Virus | 0.689037 |
| page options Skip | 0.466059 |
| Sierra Leone Vaccine | 0.484294 |
| Ebola Treatment Centers | 0.720035 |
| Outbreak Preparedness | 0.469039 |
| Ebola Patients | 0.662096 |
| Emergency Department Guidance | 0.474971 |
| Emergency Department Preparedness | 0.462439 |
| Disinfecting Hospital Guidance | 0.478745 |
| Ebola Epidemic | 0.630086 |
| Ebola Assessment Hospitals | 0.642761 |
| Virus Exposure Influenza | 0.477278 |
| Ebola Diagnosed | 0.63051 |
| Tiered Approach Preparing | 0.468252 |
| Tiered Approach Hospital | 0.464892 |
| U.S.) Settings | 0.462445 |
| Ebola PPE | 0.647371 |
|
| U.S. Healthcare Workers | 0.467495 |
| Current Ebola Treatment | 0.689466 |
| Sierra Leone | 0.502426 |
| Search Form Controls | 0.511463 |
| Patient Handoff SOP | 0.487404 |
| Outbreak Cases | 0.465043 |
| Confirmed Ebola Virus | 0.665661 |
| West Africa Outbreak | 0.49851 |
| Ebola Hemorrhagic Fever | 0.675468 |
| Ebola Virus Disease | 0.819427 |
| Suspected Ebola Patients | 0.641676 |
| Personal Protective Equipment | 0.534993 |
| Ebola Survivors Questions | 0.653383 |
| Tiered Approach | 0.495487 |
| Healthcare Settings Guidance | 0.493314 |
| Outbreak Distribution Map | 0.482366 |
| Search Controls | 0.464649 |
| Handling Untreated Sewage | 0.4871 |
| Ebola Transmission | 0.615348 |
| Ebola Virus Exposure | 0.688538 |
| Interim Guidance | 0.4647 |
| Ebola Response Planning | 0.649026 |
| Ebola Virus | 0.915447 |
| West Africa | 0.52652 |
|
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Frequency of Tobacco Use Among Middle and High SchoolStudents - United States, 2014 |
Linda J. Neff, PhD1; René A. Arrazola, MPH1; Ralph S. |
| multiple product users | 0.285367 |
| complex survey design | 0.264722 |
| control strategies | 0.29383 |
| Youth Tobacco Survey | 0.400767 |
| RenУЉ A. Arrazola | 0.274126 |
| multiple tobacco product | 0.509539 |
| tobacco | 0.973711 |
| current users | 0.420809 |
| dissolvable tobacco | 0.353725 |
| high school–aged youths | 0.268782 |
| tobacco prevention | 0.338619 |
| tobacco product users | 0.432404 |
| tobacco product prices | 0.375706 |
| tobacco product dependence | 0.38018 |
| tobacco products | 0.898374 |
| single tobacco product | 0.378929 |
| cigar smokers | 0.441699 |
| single-product users | 0.281079 |
| cigarettes | 0.278059 |
| Conrad J. Choiniere | 0.27275 |
| U.S. middle school | 0.33709 |
| United States | 0.270621 |
| adult cigarette smokers | 0.296793 |
| Drug Administration | 0.274557 |
|
| smokeless tobacco users | 0.741089 |
| adverse health effects | 0.273049 |
| middle school | 0.466288 |
| tobacco dependence | 0.342324 |
| Brian A. King | 0.274016 |
| tobacco use prevention | 0.377402 |
| Linda J. Neff | 0.332544 |
| multiple tobacco products | 0.431979 |
| tobacco pipes | 0.376228 |
| tobacco product | 0.717672 |
| lifelong nicotine addiction | 0.271914 |
| middle school students | 0.325792 |
| e-cigarette users | 0.360281 |
| cigars | 0.284504 |
| e-cigarettes users | 0.277045 |
| high school students | 0.724144 |
| cigarette smokers | 0.488196 |
| tobacco control policies | 0.385198 |
| e-cigarettes | 0.287984 |
| smokeless tobacco products | 0.452787 |
| smokeless tobacco | 0.798814 |
| adolescent tobacco users | 0.383519 |
| Corinne G. Husten | 0.273819 |
| Ralph S. Caraballo | 0.273806 |
|
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Children | Physical Activity |
Children and adolescents should do 60 minutes (1 hour) or more of physical activity each day. Learn more... |
| formal muscle-strengthening programs | 0.377059 |
| muscle strengthening activities | 0.40929 |
| structured weight programs | 0.372345 |
| vigorous-intensity activity | 0.608604 |
| activity | 0.920543 |
| jungle gym | 0.258271 |
| basketball team practice | 0.381836 |
| average child | 0.363739 |
| aerobic activity | 0.701251 |
| moderate-intensity activity | 0.340608 |
| enjoyable ways | 0.302604 |
|
| physical activity | 0.754015 |
| bone strengthening activities | 0.40489 |
| highest level | 0.263482 |
| example | 0.205491 |
| Physical Activity Guidelines | 0.431217 |
| vigorous-intensity aerobic activity | 0.450541 |
| brisk walking | 0.286773 |
| Younger children | 0.248195 |
| climb trees | 0.26124 |
| moderate-intensity aerobic activity | 0.657131 |
|
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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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