| 8688 |
Centers for Disease Control and Prevention |
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Announcements: Amyotrophic Lateral Sclerosis ALS AwarenessMonth - May 2013 |
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. | 0.33695 |
| online web portal | 0.424766 |
| ALS risk factors | 0.667018 |
| better understanding | 0.318299 |
| new research notification | 0.408959 |
| United States | 0.44038 |
| U.S. Government Printing | 0.414134 |
| original MMWR paper | 0.405769 |
| Lou Gehrig | 0.329231 |
| brief online surveys | 0.423113 |
| registry surveys | 0.35149 |
| Human Services | 0.417771 |
| epidemiologic studies | 0.318686 |
| assistive technology | 0.336718 |
| neurodegenerative disorder | 0.330091 |
| new clinical trials | 0.411163 |
| active surveillance activities | 0.409052 |
| U.S. Department | 0.541255 |
| MMWR HTML versions | 0.408862 |
| Medicaid Services | 0.323859 |
| MMWR readers | 0.318936 |
| Amyotrophic Lateral Sclerosis | 0.43536 |
| federal Agency | 0.324956 |
| electronic PDF version | 0.399487 |
|
| Les Turner Foundation | 0.411567 |
| subject line | 0.335666 |
| Additional information | 0.321002 |
| metropolitan areas | 0.316493 |
| various initiatives | 0.314996 |
| national databases | 0.32989 |
| Contact GPO | 0.330606 |
| registry enrollees | 0.360303 |
| Muscular Dystrophy Association | 0.417301 |
| main goals | 0.324058 |
| potential risk factors | 0.627437 |
| persons | 0.360628 |
| sufficient data | 0.332212 |
| ATSDR | 0.391939 |
| web portal | 0.438907 |
| original paper copy | 0.403042 |
| potential specimen | 0.317413 |
| National ALS Registry | 0.995022 |
| bioregistry feasibility study | 0.411306 |
| Veterans Affairs | 0.315537 |
| ALS Association | 0.580196 |
| Disease Registry | 0.379319 |
| Toxic Substances | 0.317997 |
|
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| 10868 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Support Among Middle School andHigh School Students for Smoke-free Policies, North Carolina, 2009- CDC |
In the United States, little is known about youth attitudes toward smoke-free policies. Our research measures North Carolina middle school and high school students’ opinions about smoke-free policies in indoor and outdoor public places as well as private places such as vehicles, homes, and work environments. |
| North Carolina | 0.669359 |
| high school nonsmokers | 0.361797 |
| complex survey design | 0.36957 |
| youth | 0.47768 |
| Carolina Youth Tobacco | 0.384843 |
| current smokers | 0.496536 |
| smoking cigarettes | 0.372948 |
| Youth Tobacco Survey | 0.420127 |
| Carolina middle school | 0.469261 |
| smoking status | 0.387755 |
| overall middle school | 0.386337 |
| North Carolina legislature | 0.371861 |
| smoking restrictions | 0.373336 |
| middle school response | 0.388759 |
| strong smoking regulations | 0.369864 |
| overall high school | 0.366449 |
| weaker smoking regulations | 0.371744 |
| smoking regulations | 0.380294 |
| local restaurant smoking | 0.366003 |
| SHS exposure | 0.465366 |
| school response rate | 0.403308 |
| outdoor public places | 0.715975 |
| total smoke-free policies | 0.378357 |
| smoke-free adult role | 0.368729 |
| United States | 0.498157 |
|
| north carolina youth | 0.466809 |
| indoor public places | 0.653897 |
| vehicles | 0.396879 |
| Allow smoking | 0.375588 |
| statewide smoke-free policies | 0.375529 |
| public places | 0.756023 |
| middle school | 0.684405 |
| smoking | 0.571008 |
| smoke-free home policy | 0.370724 |
| smoke-free policies | 0.70567 |
| outdoor public transit | 0.36716 |
| youth SHS exposure | 0.38979 |
| middle school students | 0.465784 |
| partial smoking bans | 0.400342 |
| high school students | 0.919476 |
| indoor work environments | 0.576358 |
| high school youth | 0.389573 |
| smoke-free vehicle laws | 0.367083 |
| smoke-free legislation | 0.39051 |
| current smoking status | 0.378832 |
| middle school youth | 0.375703 |
| logistic regression models | 0.474209 |
| venues | 0.387882 |
| high school response | 0.391166 |
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| 10981 |
Centers for Disease Control and Prevention |
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CDC Global Health - Importance of Communication in OutbreakResponse: Ebola |
null |
| potentially disruptive element | 0.550748 |
| health communication specialist | 0.600258 |
| media questions | 0.50674 |
| CDC | 0.576936 |
| Emergency Communications Network | 0.573352 |
| Global Disease Detection | 0.55837 |
| time Rollin | 0.636231 |
| EIS Officer Leisha | 0.575563 |
| local media outlets | 0.560516 |
| Ebola outbreak | 0.881244 |
| Dr. Rollin | 0.669378 |
| epidemiologists Joel Montgomery | 0.552707 |
| new information | 0.507129 |
| accurate information | 0.50319 |
| proactive U.S. Embassy | 0.577247 |
| epidemiologist James Zingesser | 0.559677 |
| Dr. Pierre Rollin | 0.907496 |
| Epidemic Intelligence Service | 0.558916 |
| World Health Organization | 0.588647 |
| CDC responders | 0.541999 |
| public health emergencies | 0.602409 |
| emergency communications experts | 0.576454 |
| ongoing Ebola outbreak | 0.755933 |
| important role | 0.502839 |
| CDC’s team | 0.574723 |
|
| U.S. Ambassador | 0.504056 |
| Viral Special Pathogens | 0.914649 |
| clear health messages | 0.596288 |
| outbreak cases | 0.606306 |
| Alexander Mark Laskaris | 0.587722 |
| Embassy staff | 0.520213 |
| Guinea | 0.640445 |
| Special Pathogens Branch | 0.907275 |
| early messaging | 0.559014 |
| perfect convergence—an English | 0.566885 |
| EIS Officers Meredith | 0.573785 |
| local media colleagues | 0.579317 |
| public health emergency | 0.60016 |
| CDC team | 0.54658 |
| information technology specialist | 0.575625 |
| CDC staff | 0.548694 |
| local radio stations | 0.578976 |
| effective outbreak response | 0.663926 |
| Rollin’s presentation | 0.642197 |
| Mary Joung Choi | 0.563058 |
| complex information | 0.511063 |
| Guinea’s Ministry | 0.627739 |
| U.S. Embassy | 0.598613 |
| global health outbreaks | 0.61428 |
|
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| 12009 |
Centers for Disease Control and Prevention |
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Brote de la enfermedad del Ébola 2014 en África Occidental |
null |
| cluster | 0.225072 |
| largest outbreak | 0.407505 |
| CDC | 0.266126 |
| data | 0.224087 |
| Public Health Emergency | 0.643758 |
| high-risk contact | 0.344249 |
| Viral | 0.225014 |
| affected countries | 0.336655 |
| Sierra Leone | 0.334404 |
| experience | 0.225496 |
| virus | 0.245449 |
| tools | 0.225479 |
| international partners | 0.336933 |
| Ebola outbreak | 0.701763 |
| technical assistance | 0.34924 |
| probable cases | 0.352286 |
| multiple countries | 0.353362 |
| additional cases | 0.456525 |
| response capacities | 0.342327 |
|
| World Health Organization | 0.467029 |
| Widespread transmission | 0.345552 |
| teams | 0.226237 |
| International Concern | 0.464956 |
| probable deaths | 0.345209 |
| Guinean health authorities | 0.446484 |
| ongoing surveillance | 0.338436 |
| U.S. government agencies | 0.471236 |
| history | 0.228417 |
| Emergency Operations Center | 0.466195 |
| PHEIC | 0.250042 |
| Continued…) | 0.366298 |
| public health experts | 0.457885 |
| control activities | 0.349097 |
| West Africa | 0.941384 |
| Situation Report | 0.339399 |
| recent flare-up | 0.331486 |
| southeastern Guinea | 0.332305 |
|
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| 12177 |
Centers for Disease Control and Prevention |
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Incidence of Sickle Cell Trait - United States, 2010 |
Jelili Ojodu, MPH1, Mary M. Hulihan, MPH2, Shammara N. Pope, MPH2, Althea M. |
| red blood cells | 0.484709 |
| Screening 10-Year Incidence | 0.532604 |
| overall incidence | 0.548376 |
| data | 0.547707 |
| SCT | 0.939905 |
| sickle cell trait | 0.493321 |
| newborn screening results | 0.51273 |
| state nbs programs | 0.661269 |
| potential health effects | 0.482084 |
| sickle cell disease | 0.64218 |
| primary care providers | 0.480356 |
| Newborn Screening Report | 0.508479 |
| Mary M. Hulihan | 0.557948 |
| Hispanic newborns | 0.499689 |
| universal newborn screening | 0.507122 |
| care providers | 0.482564 |
| lowest incidence | 0.489523 |
| total U.S. incidence | 0.520111 |
| different races | 0.481929 |
| infants | 0.558342 |
| NBS results | 0.494786 |
| universal sickle cell | 0.493289 |
| positive SCT test | 0.622791 |
| positive SCT screening | 0.641641 |
|
| abnormal УŸ-globin gene | 0.484153 |
| Shammara N. Pope | 0.488371 |
| standardized methods | 0.480604 |
| newborn screening | 0.733047 |
| potential health | 0.522325 |
| positive SCT | 0.842082 |
| newborn screening programs | 0.514024 |
| SCT incidence | 0.616126 |
| United States | 0.527545 |
| positive SCT results | 0.725303 |
| states | 0.632769 |
| family planning | 0.481 |
| state newborn screening | 0.537174 |
| positive SCT result | 0.701432 |
| total number | 0.516052 |
| National Newborn Screening | 0.567119 |
| newborn Hispanic infant | 0.503712 |
| white infants | 0.504623 |
| SCD | 0.490796 |
| Pacific Islander infants | 0.507986 |
| highest incidence | 0.488166 |
| primary care | 0.484684 |
| abnormal hemoglobin | 0.490136 |
| Althea M. Grant | 0.485812 |
|
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| 12421 |
Centers for Disease Control and Prevention |
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Update on the Epidemiology of Middle East RespiratorySyndrome Coronavirus MERS-CoV Infection, and Guidance for thePublic, Clinicians, and Public Health Authorities - January2015 |
Brian Rha, MD1, Jessica Rudd, MPH1, Daniel Feikin, MD1, John Watson, MD1, Aaron T. Curns, MPH1, David L. Swerdlow, MD2, Mark A. |
| nationwide surveillance | 0.556044 |
| CDC | 0.529819 |
| appropriate isolation measures | 0.664418 |
| health care provider | 0.698514 |
| recent travel | 0.700562 |
| David L. Swerdlow | 0.759033 |
| Oman | 0.465782 |
| laboratory-confirmed†cases | 0.600968 |
| Susan I. Gerber | 0.738553 |
| health care providers | 0.970092 |
| residence | 0.460847 |
| National Center | 0.662985 |
| Immunization | 0.45742 |
| World Health Organization | 0.761776 |
| patients | 0.455605 |
| Mark A. Pallansch | 0.744097 |
| countries | 0.510834 |
| public health officials | 0.729005 |
| travel-associated cases | 0.58676 |
| persons | 0.537089 |
| Jessica Rudd | 0.591153 |
| Corresponding author | 0.54925 |
| Saudi Arabia.§ | 0.592529 |
| MERS cases | 0.775045 |
| health care settings | 0.692938 |
|
| Arabian Peninsula | 0.844128 |
| United States | 0.969379 |
| respiratory illness | 0.628982 |
| Viral Diseases | 0.553664 |
| fever | 0.487757 |
| Saudi Arabia | 0.93503 |
| U.S. travelers | 0.55463 |
| John Watson | 0.584236 |
| respiratory symptoms | 0.775515 |
| Aaron T. Curns | 0.739285 |
| Qatar | 0.471763 |
| brief update | 0.567755 |
| health departments | 0.567257 |
| respiratory diseases | 0.808587 |
| Daniel Feikin | 0.588538 |
| public health | 0.741519 |
| Author affiliations | 0.582103 |
| MPH1 | 0.456325 |
| United Arab Emirates | 0.707271 |
| Brian Rha | 0.767282 |
| medical care | 0.557543 |
| MERS-CoV infection | 0.88101 |
| respiratory syndrome coronavirus | 0.851952 |
| MERS-CoV epidemiology | 0.587161 |
|
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| 13717 |
Centers for Disease Control and Prevention |
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Comparing the Maryland Comprehensive Cancer Control Plan With Federal Cancer Prevention and Control Recommendations |
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. |
| up-to-date evidence-based recommendations | 0.49433 |
| MCCCP’s goals | 0.620822 |
| cancer detection screening | 0.477639 |
| USPSTF | 0.906937 |
| CDC evidence-based recommendations | 0.525765 |
| American Cancer Society | 0.582051 |
| pregnant women | 0.48569 |
| National Comprehensive Cancer | 0.524105 |
| prevention-related recommendations | 0.478646 |
| evidence-based recommendations | 0.796817 |
| MCCCP recommendations | 0.565398 |
| Hopkins Bloomberg School | 0.515091 |
| cancer-related evidence-based recommendations | 0.540441 |
| cancer-related USPSTF recommendations | 0.698717 |
| MCCCP’s publication | 0.475901 |
| state cancer plans | 0.68344 |
| Cancer Control Program | 0.482385 |
| cancer control plans | 0.593579 |
| federal cancer-related recommendations | 0.571219 |
| screening recommendations | 0.481632 |
| additional national recommendations | 0.491678 |
| state cancer plan | 0.53159 |
| USPSTF recommendations | 0.714525 |
| federal evidence-based recommendations | 0.665124 |
| cancer prevention | 0.822014 |
|
| Johns Hopkins Bloomberg | 0.508324 |
| MCCCP | 0.848 |
| secondary cancer prevention | 0.50802 |
| Cancer Control Plan | 0.619528 |
| cancer-related federal recommendations | 0.569447 |
| comprehensive cancer control | 0.936415 |
| alcohol misuse | 0.474295 |
| federal recommendations | 0.94931 |
| ACIP’s recommendations | 0.512811 |
| National Cancer Institute | 0.548384 |
| national cancer plan | 0.479692 |
| CDC recommendations | 0.477288 |
| current cancer-related USPSTF | 0.564727 |
| national recommendations | 0.493639 |
| cancer prevention recommendations | 0.565066 |
| Maryland Comprehensive Cancer | 0.611818 |
| strategies | 0.514123 |
| cancer control planning | 0.470654 |
| CDC guidelines | 0.501578 |
| Comprehensive Cancer Center | 0.473678 |
| Kimmel Comprehensive Cancer | 0.473029 |
| ACIP recommendations | 0.559816 |
| partial correspondence | 0.630597 |
| USPSTF Grade | 0.903032 |
|
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| 15244 |
Centers for Disease Control and Prevention |
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Put Your Medicines Up and Away and Out of Sight | CDC Features |
About 60,000 young children end up in emergency rooms each year because they got into medicines while an adult wasn't looking. These emergency visits can be prevented by always putting every medicine up and away and out of children’s reach and sight every time you use it. |
| medicines | 0.67834 |
| harm | 0.365497 |
| kitchen counter | 0.601484 |
| safety caps | 0.592311 |
| Different families | 0.587858 |
| emergency rooms | 0.635669 |
| wrong person | 0.624541 |
| house | 0.355888 |
| coats | 0.354713 |
| children | 0.975215 |
| safe storage tips | 0.789869 |
| medications | 0.437843 |
| sight | 0.542409 |
| things | 0.42352 |
| young children | 0.855173 |
| houseguests | 0.377911 |
| child’s bedside | 0.608683 |
| sorts | 0.363032 |
| cell phones | 0.587327 |
| mouths | 0.379893 |
| family members | 0.571966 |
|
| Program | 0.352844 |
| wrong way | 0.631508 |
| medicine | 0.887649 |
| Poison Help number | 0.826231 |
| emergency visits | 0.631616 |
| vitamin | 0.352365 |
| friends | 0.351642 |
| safe medication storage | 0.855646 |
| storage place | 0.58443 |
| home | 0.576846 |
| medicine bottle | 0.608034 |
| purses | 0.36032 |
| Campaign | 0.352254 |
| vitamins | 0.562816 |
| prescription | 0.361735 |
| poison control center | 0.817282 |
| different places | 0.60004 |
| time | 0.362739 |
| safest place | 0.614318 |
| adult | 0.421432 |
|
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| 15279 |
Centers for Disease Control and Prevention |
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Recommendations for Worker Protection and Use of Personal Protective Equipment (PPE) to Reduce Exposure to Highly Pathogenic Avian Influenza A H5 Viruses |
Recommendations for Worker Protection and Use of Personal Protective Equipment (PPE) to Reduce Exposure to Highly Pathogenic Avian Influenza A H5 Viruses - CDC |
| comprehensive respiratory protection | 0.494424 |
| HPAI H5 virus | 0.568537 |
| direct physical contact | 0.484314 |
| poultry workers | 0.420143 |
| work shift | 0.270705 |
| work area | 0.269064 |
| PPE | 0.993439 |
| H5 virus-infected birds | 0.548961 |
| good hand hygiene | 0.412533 |
| alcohol-based hand rub | 0.424473 |
| United States | 0.268769 |
| properly-fitted safety goggles | 0.458185 |
| ASTM F1670 | 0.278384 |
| Occupational Safety | 0.280649 |
| cm H2O | 0.298958 |
| NIOSH-approved N95 | 0.379282 |
| Respiratory Protection eTool | 0.483757 |
| direct contact | 0.305151 |
|
| fit testing procedures | 0.436878 |
| respiratory protection | 0.75927 |
| separate clean areas | 0.452766 |
| Respiratory Protection standard | 0.492814 |
| Health Administration | 0.289868 |
| personal protective equipment | 0.785357 |
| Fluid-resistant coveralls | 0.302033 |
| HPAI H5 | 0.579627 |
| poultry feces | 0.673506 |
| disposable gloves | 0.297095 |
| respiratory protection programs | 0.485253 |
| dead poultry | 0.413741 |
| poultry carcasses | 0.694286 |
| PPE training topics | 0.857813 |
| potentially-infected poultry | 0.412879 |
| sick birds | 0.315574 |
| potentially infected materials | 0.455402 |
| OSHA regulations | 0.30257 |
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| 16112 |
Centers for Disease Control and Prevention |
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Help Prevent Type 2 Diabetes | NDPP | Diabetes |
National Diabetes Prevention Program |
| increased physical activity | 0.457472 |
| Page | 0.330114 |
| type | 0.361752 |
| Engl J Med | 0.39106 |
| diabetes prevention lifestyle | 0.689291 |
| body weight | 0.388085 |
| National Diabetes Prevention | 0.61079 |
| fact sheet | 0.380923 |
| online CDC-recognized lifestyle | 0.544962 |
| CDC-recognized lifestyle change | 0.806692 |
| certain standards | 0.386724 |
| Sepah SC | 0.379966 |
| program progress | 0.408345 |
| Diabetes Educator | 0.482128 |
| meaningful engagement | 0.389586 |
| portion sizes | 0.381883 |
| average weight loss | 0.461484 |
| impact | 0.326057 |
| weight loss | 0.519509 |
| lifestyle change program | 0.789123 |
| lifestyle coaches | 0.459578 |
| similar range | 0.38407 |
| high risk | 0.387845 |
| group support | 0.386318 |
| Unlimited Support | 0.380592 |
|
| national effort | 0.401155 |
| employees | 0.329404 |
| et al. | 0.377466 |
| DPP—a nationwide effort | 0.480212 |
| Diabetes Prevention Study | 0.549179 |
| Program Details | 0.402568 |
| lifestyle change programs | 0.818865 |
| lifestyle change intervention | 0.576297 |
| United States | 0.397357 |
| approved curriculum | 0.386274 |
| impaired glucose tolerance | 0.447479 |
| diabetes mellitus | 0.478434 |
| National DPP | 0.412492 |
| CDC standards | 0.394835 |
| high-quality experience | 0.389382 |
| weight loss programs | 0.473331 |
| online lifestyle change | 0.534599 |
| year-long program | 0.419476 |
| online social network | 0.450637 |
| participants | 0.364445 |
| prediabetes | 0.32855 |
| lifestyle change | 0.943132 |
| Diabetes Prevention Program | 0.831141 |
| visit Lifestyle Change | 0.530688 |
|
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