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Announcement: Brain Injury Awareness Month - March2014 |
March is Brain Injury Awareness Month. Through scientific research, programs, and education, CDC works to prevent traumatic brain injury (TBI) from all causes and ensure that persons with a TBI receive optimal care. Whether occurring from a fall in the home or on a playground, in sports, in a car crash, or by being struck by an object or another person, a TBI from any cause can disrupt the normal functions of the brain and can range in severity from a mild concussion to a severe, life-threatening injury. |
| TBI-related hospitalization | 0.446721 |
| emergency department visits | 0.56796 |
| Human Services | 0.555232 |
| U.S. Department | 0.551279 |
| MMWR HTML versions | 0.543504 |
| motor vehicle-related TBIs | 0.647395 |
| Brain Injury Awareness | 0.60173 |
| electronic PDF version | 0.533079 |
| size-appropriate car seats | 0.550693 |
| TBI | 0.93733 |
| rehabilitation services | 0.441141 |
| Additional information | 0.438418 |
| Contact GPO | 0.455348 |
| traumatic brain injury | 0.598003 |
| optimal care | 0.460532 |
| commercial sources | 0.433917 |
| older adult falls | 0.547563 |
| current prices | 0.430504 |
| regular exercise program | 0.546251 |
| original paper copy | 0.538495 |
| young adults | 0.443978 |
| higher rates | 0.573521 |
| at-risk populations | 0.436343 |
| United States | 0.556806 |
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| U.S. Government Printing | 0.54549 |
| original MMWR paper | 0.539287 |
| age group | 0.441805 |
| car crash | 0.452365 |
| health-care delivery systems | 0.558799 |
| motor vehicle–related TBIs | 0.650804 |
| MMWR readers | 0.439218 |
| character translation | 0.428011 |
| primary prevention strategies | 0.556632 |
| normal functions | 0.451903 |
| fall-related TBIs | 0.537115 |
| life-threatening injury | 0.459549 |
| public health prevention | 0.561713 |
| format errors | 0.427328 |
| scientific research | 0.459239 |
| typeset documents | 0.433911 |
| trade names | 0.433998 |
| official text | 0.42662 |
| highest rates | 0.572548 |
| medical care | 0.439137 |
| non-CDC sites | 0.432448 |
| mild concussion | 0.465559 |
| older adults | 0.443255 |
| TBI receive | 0.786006 |
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Centers for Disease Control and Prevention |
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Indene - NIOSH Pocket Guide to Chemical Hazards |
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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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Centers for Disease Control and Prevention |
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HIV and Male Circumcision - Health Communication |
HIV and Male Circumcision - Gateway to Health Communication - CDC |
| HIV-infected person | 0.511738 |
| new HIV infections | 0.785247 |
| Doctor POV | 0.342565 |
| Pneumocystis carinii pneumonia | 0.477744 |
| heterosexual transmission | 0.335652 |
| HIV-related deaths | 0.376005 |
| white blood cells | 0.467507 |
| HIV-infected blood | 0.378278 |
| Joseph Mpiri | 0.335349 |
| penile-vaginal sex | 0.347215 |
| cell count | 0.338266 |
| Rwandan man | 0.33521 |
| HIV-positive woman | 0.34413 |
| infected female | 0.375434 |
| male friends | 0.346522 |
| sexual intercourse | 0.345717 |
| early thirties | 0.33272 |
| weight loss | 0.34618 |
| surgical removal | 0.354483 |
| greater susceptibility | 0.339549 |
| relative risk | 0.337669 |
| characteristic opportunistic infections | 0.557183 |
| enlarged lymph glands | 0.477323 |
| healthy people | 0.344362 |
| big dilemma | 0.341478 |
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| HIV-related immune destruction | 0.498292 |
| moist environment | 0.345979 |
| condom | 0.334273 |
| night sweats | 0.352121 |
| safe sex | 0.336581 |
| sex partners | 0.348676 |
| mutual monogamy | 0.341173 |
| virus | 0.399108 |
| opportunistic infections | 0.625629 |
| AIDS deaths | 0.36384 |
| sexually transmitted infections | 0.753445 |
| Patient POV | 0.343492 |
| HIV transmission | 0.525735 |
| HIV/ AIDS | 0.355305 |
| foreskin | 0.383136 |
| sexual transmission | 0.333658 |
| possible reasons | 0.334587 |
| male circumcision | 0.896784 |
| young men | 0.336884 |
| high concentration | 0.334477 |
| infected person | 0.401916 |
| HIV | 0.900371 |
| HIV worldwide | 0.579947 |
| sub-saharan africa | 0.492689 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Enrollment and RetentionChallenges in Early-Phase Intervention Development Studies: TheObesity-Related Behavioral Intervention Trials ORBIT -CDC |
Recent gains in life expectancy in the United States are threatened by high rates of obesity. Substandard diets and low levels of physical activity have been identified as key determinants of overweight, obesity, and many other chronic conditions. Fundamental to preventing and treating obesity and its concomitant conditions is the adoption and maintenance of healthful dietary and physical activity habits. |
| future recruitment efforts | 0.650532 |
| Kidney Diseases | 0.640502 |
| effective obesity prevention | 0.713181 |
| effective approaches | 0.639044 |
| pregnant women | 0.868811 |
| intervention development | 0.910761 |
| small-scale efficacy studies | 0.665781 |
| obesity-related interventions | 0.655545 |
| Child Health | 0.648795 |
| obesity-related behavioral interventions | 0.760066 |
| National Institutes | 0.716054 |
| National Heart | 0.767398 |
| obesity reduction strategies | 0.703121 |
| obesity interventions | 0.744852 |
| social science research | 0.908022 |
| Epel E. Recruitment | 0.651514 |
| low-income pregnant women | 0.783719 |
| behavioral intervention | 0.934372 |
| behavioral intervention development | 0.841545 |
| Reduce Obesity | 0.643916 |
| Blood Institute | 0.765768 |
| physical activity interventions | 0.7287 |
| physical activity intervention | 0.677965 |
| Shriver National Institute | 0.669454 |
| behavioral science researchers | 0.698952 |
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| National Cancer Institute | 0.787164 |
| cosponsoring NIH institutes | 0.653261 |
| National Institute | 0.765347 |
| Obesity Related Behavioral | 0.753443 |
| early experimental studies | 0.649891 |
| intervention development studies | 0.706058 |
| research teams | 0.664225 |
| similar interventions | 0.641499 |
| Human Development | 0.648999 |
| ORBIT studies | 0.730973 |
| ORBIT initiative | 0.654436 |
| obesity problem | 0.646109 |
| intervention development process | 0.795923 |
| Faith-Based Research Partnerships | 0.661809 |
| Maternal Adiposity | 0.703928 |
| population interventions | 0.654805 |
| physical activity | 0.809012 |
| NIH Office | 0.647107 |
| physical activity habits | 0.660616 |
| Public Health Service | 0.63966 |
| high-risk populations | 0.724665 |
| potent interventions | 0.662843 |
| cooperative agreement grants | 0.756374 |
| preliminary efficacy testing | 0.641373 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0065 |
Volumen 9 — Septiembre 27, 2012. |
| posibles factores | 0.366039 |
| Salud Pública | 0.340946 |
| siguientes factores | 0.367998 |
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| alta morbilidad | 0.366122 |
| mal control | 0.918631 |
| escaso control | 0.374162 |
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Notifiable Diseases and Mortality Tables |
Table I Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending April 19, 2014 (16th Week). |
| different event codes | 0.547292 |
| H. influenzae | 0.452474 |
| CDC | 0.414706 |
| California serogroup | 0.558189 |
| age group | 0.38785 |
| novel influenza | 0.705691 |
| invasive pneumococcal disease | 0.894085 |
| eastern equine | 0.380201 |
| measles cases | 0.489698 |
| ** Data | 0.425283 |
| western equine diseases | 0.534158 |
| case notifications | 0.390718 |
| susceptible cases | 0.445564 |
| probable cases | 0.462779 |
| Rocky Mountain | 0.373684 |
| rickettsia infections | 0.426889 |
| ArboNET Surveillance | 0.379884 |
| Zoonotic | 0.241112 |
| rubella cases | 0.458907 |
| Spotted fever rickettsioses | 0.612644 |
| St. Louis | 0.38311 |
| E. coli | 0.385462 |
| influenza A virus | 0.551392 |
| virus infections | 0.444047 |
|
| National Center | 0.57629 |
| Immunization | 0.2388 |
| cases | 0.712757 |
| pneumoniae invasive disease | 0.606757 |
| Table | 0.294388 |
| Total case counts | 0.563441 |
| Spotted fever group | 0.610502 |
| serogroup non-O157 | 0.558098 |
| serotypes | 0.23777 |
| Shiga | 0.291798 |
| similar clinical presentation | 0.532957 |
| Vector-Borne Infectious Diseases | 0.573738 |
| meningococcal disease | 0.401515 |
| Cumulative total E. | 0.56246 |
| condition | 0.257999 |
| Influenza Division | 0.514605 |
| Streptococcus | 0.243284 |
| unknown serogroup | 0.558867 |
| Respiratory Diseases | 0.402775 |
| Powassan | 0.245859 |
| ages | 0.237802 |
| Enteric Diseases | 0.398445 |
| Includes drug resistant | 0.553488 |
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Progress on Children Eating More Fruit, Not Vegetables | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| white potatoes | 0.233176 |
| Mortality Weekly Report | 0.312128 |
| Include nutrition standards | 0.344085 |
| moderate physical activity | 0.333713 |
| children | 0.669147 |
| healthy ways | 0.24813 |
| calorie needs | 0.230251 |
| Offering resources | 0.226829 |
| school staff | 0.246396 |
| school districts | 0.254537 |
| fruit juice | 0.323482 |
| nutrition standards | 0.435734 |
| hands-on learning opportunities | 0.3171 |
| Help child care | 0.361684 |
| Eat fruit | 0.373187 |
| Offer nutrition education | 0.333313 |
| healthy eating | 0.379942 |
| new national efforts | 0.337302 |
| healthy options | 0.234684 |
| food preparation staff | 0.329867 |
| main contributor | 0.245307 |
| WIC Cash Value | 0.329229 |
| school nutrition standards | 0.387271 |
| National School Lunch | 0.350102 |
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| Vital Signs Issue | 0.327934 |
| State Indicator Report | 0.307602 |
| Breakfast Programs | 0.225506 |
| federal nutrition standards | 0.337795 |
| normal daily activities | 0.331363 |
| Vital Signs | 0.459787 |
| fruit | 0.634167 |
| lifelong food choices | 0.352749 |
| child care** | 0.257104 |
| Vegetable Program | 0.227921 |
| vegetables | 0.949659 |
| child care | 0.782131 |
| colorful vegetables | 0.501064 |
| active children | 0.294944 |
| fried potatoes | 0.233564 |
| Nutrition Assistance Program | 0.344695 |
| HealthierUS School Challenge | 0.350118 |
| fruit* children | 0.321961 |
| Include fruit | 0.289101 |
| vegetable purchasing costs | 0.320284 |
| physical activity | 0.339574 |
| school meal programs | 0.355283 |
| French fries | 0.23085 |
| Fresh Fruit | 0.286687 |
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Chronic Respiratory Disease |
Chronic Respiratory Disease - Gateway to Health Communication - CDC |
| hands | 0.229895 |
| waste product | 0.300269 |
| lung tissue | 0.29811 |
| body | 0.234882 |
| Chronic lower respiratory | 0.629437 |
| infectious respiratory diseases | 0.495549 |
| airflow blockage | 0.313959 |
| lungs | 0.220177 |
| oxygen | 0.238974 |
| workplace air pollutants | 0.39173 |
| pulmonary—or lung—function | 0.290047 |
| development | 0.233854 |
| tobacco smoke | 0.389335 |
| primary physician | 0.292771 |
| colds | 0.219915 |
| asthma | 0.24076 |
| chronic respiratory diseases | 0.904835 |
| respiratory infections | 0.569728 |
| spirometry | 0.224306 |
| exposure | 0.235774 |
| occupational lung diseases | 0.420989 |
| simple test | 0.290289 |
| chronic bronchitis | 0.383368 |
| breathing problems | 0.287594 |
| obstructive pulmonary disease | 0.755556 |
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| air pollutants | 0.473889 |
| United States | 0.405535 |
| breathing-related problems | 0.301173 |
| airways | 0.220299 |
| respiratory problems. | 0.415453 |
| key factor | 0.390848 |
| genetic factors | 0.295176 |
| Early detection | 0.289195 |
| emphysema | 0.220735 |
| Smoking cessation | 0.298596 |
| chronic respiratory disease | 0.57126 |
| carbon dioxide | 0.404913 |
| early mild COPD. | 0.372215 |
| common cause | 0.302388 |
| chronic diseases | 0.410165 |
| disease course | 0.294846 |
| harmful effects | 0.294352 |
| outdoor air pollutants | 0.388599 |
| home | 0.233831 |
| Chronic Obstructive Pulmonary | 0.68963 |
| productive cough. | 0.293541 |
| Air pollution | 0.291279 |
| shortness | 0.222502 |
| tobacco smoke. | 0.294058 |
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Remarkable Progress Five Years after Haiti Earthquake |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Health facilities | 0.400509 |
| disease detectives | 0.373609 |
| physical health infrastructure | 0.503749 |
| tuberculosis treatment services | 0.482212 |
| CDC staff support | 0.66494 |
| national laboratory | 0.369793 |
| international partners | 0.353877 |
| developing world | 0.352173 |
| Dr. Lowrance | 0.397792 |
| human capacity | 0.374202 |
| clinical services | 0.362687 |
| research staff | 0.359863 |
| national public health | 0.808154 |
| disease control | 0.505401 |
| public health leadership | 0.551871 |
| significant progress | 0.525179 |
| rural areas | 0.362138 |
| devastating earthquake | 0.401436 |
| laboratory capacity | 0.37954 |
| Disease control efforts | 0.487115 |
| urgent medical care | 0.509753 |
| Haitian government | 0.375296 |
| lymphatic filariasis | 0.368054 |
| lab technicians | 0.380415 |
| global health security | 0.498159 |
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| CDC’s Haiti | 0.820904 |
| sanitation technicians | 0.37386 |
| Haiti | 0.872513 |
| Public Health Laboratory | 0.591866 |
| new Ministry | 0.361764 |
| training facility | 0.376435 |
| U.S. Centers | 0.365612 |
| significant advances | 0.370832 |
| Haiti office | 0.718895 |
| gains Haiti | 0.582769 |
| public health threats | 0.53433 |
| significant investment | 0.380231 |
| public health | 0.938168 |
| disease surveillance systems | 0.762491 |
| Haitian people | 0.364525 |
| HIV-positive pregnant women | 0.486213 |
| subsequent cholera epidemic | 0.494497 |
| routine immunization program | 0.475388 |
| lab techniques | 0.381499 |
| David Lowrance | 0.412505 |
| sanitation facilities | 0.362765 |
| public health sector | 0.546498 |
| potential epidemic diseases | 0.48417 |
| global community | 0.357901 |
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Zika CERC Discussion: Preparing Spokesperson |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| Zika response | 0.367564 |
| spokesperson leader | 0.399789 |
| Dave Daigle | 0.36063 |
| spokesperson | 0.701952 |
| questions | 0.379185 |
| people’s emotions | 0.360884 |
| discussion | 0.385122 |
| emergency risk communication | 0.475667 |
| West Nile Virus | 0.418816 |
| new information | 0.368735 |
| things | 0.512343 |
| risk communication principles | 0.390498 |
| ideal spokesperson | 0.391037 |
| audience | 0.369163 |
| kind | 0.373631 |
| verbal hesitations | 0.397199 |
| community | 0.633401 |
| community engagement | 0.361363 |
| little bit | 0.525953 |
| crisis situation | 0.392776 |
| spokesperson interviews | 0.369007 |
| important things | 0.356223 |
| leader spokesperson | 0.612088 |
| transformational leader | 0.41495 |
| right spokesperson | 0.388207 |
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| media | 0.36919 |
| good spokesperson | 0.56371 |
| facts | 0.358688 |
| best possible communication | 0.361753 |
| Zika | 0.549721 |
| leadership style | 0.417511 |
| spokespersons | 0.379929 |
| West Virginia | 0.360769 |
| media training | 0.356968 |
| best communication leadership | 0.362404 |
| situation | 0.494683 |
| crisis leader spokesperson | 0.42518 |
| question | 0.518802 |
| Chris Merkel | 0.477716 |
| spokesperson qualities | 0.380001 |
| Ms. Barbara Reynolds | 0.363819 |
| Dr. Barbara Reynolds | 0.945882 |
| people | 0.795891 |
| good idea | 0.371273 |
| way | 0.550668 |
| transformational leadership style | 0.382517 |
| great spokesperson | 0.403147 |
| organization | 0.390503 |
| information | 0.492411 |
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