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Centers for Disease Control and Prevention |
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Guillain-Barré Syndrome (GBS) |
Overview of Guillain Barre Sydrome GBS, what causes it, and who is at risk of developing the disorder - CDC |
| seasonal flu vaccination | 0.514995 |
| CDC | 0.346788 |
| two-thirds | 0.322789 |
| doses | 0.317265 |
| rare disorder | 0.39208 |
| United States | 0.449788 |
| respiratory illness | 0.383721 |
| Drug Administration | 0.374816 |
| Epstein Barr virus | 0.454557 |
| flu vaccine | 0.436533 |
| Page | 0.325465 |
| bacterium Campylobacter jejuni | 0.4694 |
| flu vaccines | 0.426813 |
| GBS experience symptoms | 0.78344 |
| cytomegalovirus | 0.323458 |
| infections | 0.314384 |
| GBS | 0.913695 |
| background rate | 0.376392 |
| flu seasons | 0.424412 |
| vaccine safety monitoring | 0.541912 |
|
| muscle weakness | 0.399817 |
| greatest risk | 0.376679 |
| primary systems | 0.373843 |
| paralysis | 0.319161 |
| people | 0.413547 |
| rare occasions | 0.380148 |
| diarrhea | 0.318115 |
| nerve cells | 0.399926 |
| exact cause | 0.385409 |
| Infection | 0.313871 |
| GBS increases | 0.694433 |
| Guillain-Barré syndrome | 0.394086 |
| person | 0.313468 |
| long-term nerve damage | 0.464541 |
| older adults | 0.383177 |
| difficulty breathing | 0.387784 |
| additional GBS cases | 0.734106 |
| Unites States | 0.379962 |
| rare cases | 0.383099 |
| incidence | 0.315055 |
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Centers for Disease Control and Prevention |
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Keeping the U.S. Polio |
CDC Works For You 24/7 Protecting People - CDC Ramps up Support for Final Push in Global Polio Eradication Effort - On Wednesday, December 14, 2011, CDC Director Thomas R. Frieden, M.D., M.P.H., charged the entire CDC community to become active participants in an intensified strategy to eradicate polio, worldwide. The briefing followed Dr. Frieden’s December 2nd announcement activating CDC’s Emergency Operations Center for the agency’s partnership engagement through the Global Polio Eradication Initiative (GPEI). |
| polio vaccine | 0.601114 |
| United States | 0.334303 |
| Viral Diseases | 0.220937 |
| Polio control | 0.552989 |
| surveillance efforts | 0.24485 |
| polio vaccination | 0.785664 |
| worldwide eradication | 0.261025 |
| important priority | 0.220987 |
| Team Lead | 0.222589 |
| global eradication | 0.233202 |
| Sabin vaccination programs | 0.502999 |
| Epidemiology Branch | 0.22387 |
| historically high rate | 0.33691 |
| Dr. Greg Wallace | 0.323986 |
|
| remaining areas | 0.216605 |
| disease surveillance | 0.241453 |
| unvaccinated U.S. resident | 0.319143 |
| National Center | 0.219006 |
| Landmark vaccination | 0.375994 |
| CDC epidemiologists | 0.285437 |
| polio cases | 0.587519 |
| greatest risk | 0.227209 |
| continued polio vaccination | 0.748625 |
| polio | 0.934327 |
| polio transmission | 0.53974 |
| national mass Salk | 0.368992 |
| Respiratory Diseases | 0.220732 |
| Unprotected Story | 0.223748 |
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Centers for Disease Control and Prevention |
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Collegiate Leaders in Environmental Health (CLEH) - Programming |
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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Centers for Disease Control and Prevention |
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Health Communication Basics - How Do I Know It Works? |
Gateway to Health Communication - How Do I Know It Works? |
| components | 0.347644 |
| overall goals | 0.583734 |
| focus | 0.350143 |
| reporting plan | 0.549357 |
| stakeholders | 0.422187 |
| Bear | 0.344659 |
| experience | 0.345547 |
| procedures | 0.354381 |
| Constant assessment | 0.589584 |
| evaluation data | 0.572711 |
| descriptive information | 0.553191 |
| potential questions | 0.560096 |
| budget | 0.399234 |
| mind | 0.34463 |
| key evaluation questions | 0.803271 |
| systematic way | 0.613831 |
| process measures | 0.602685 |
| quantitative methods | 0.546659 |
| change | 0.353587 |
| percentages | 0.358424 |
| resources | 0.347374 |
|
| investment | 0.345665 |
| public health actions | 0.865969 |
| process variables | 0.577943 |
| program elements | 0.593142 |
| monitoring | 0.431981 |
| list | 0.346908 |
| data collection method | 0.767327 |
| timetable | 0.349866 |
| mid-course adjustments | 0.598308 |
| numerical data | 0.555583 |
| various kinds | 0.55956 |
| program activities | 0.5496 |
| qualitative methods | 0.550001 |
| planning stage | 0.58846 |
| campaign | 0.349784 |
| Effective program evaluation | 0.902636 |
| evaluation activities | 0.566925 |
| evaluation plans | 0.575701 |
| ethical manner | 0.571375 |
| levels | 0.345694 |
| good data collection | 0.762435 |
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Centers for Disease Control and Prevention |
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La biografía de Suzy - La historia de Suzy - Historias de la vida real - Consejos de exfumadores |
Suzy tuvo un accidente cerebrovascular, que los médicos atribuyeron a sus muchos años de fumar. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
| Archivo Apple Quicktime | 0.756888 |
| Archivo RealPlayer | 0.674081 |
| Archivo Microsoft PowerPoint | 0.785925 |
| Archivo Adobe PDF | 0.758517 |
| Archivo Microsoft | 0.975351 |
| Archivo Microsoft Word | 0.78236 |
|
| Archivo Texto | 0.663301 |
| hijo daniel | 0.656627 |
| talentosa cocinera | 0.661239 |
| combustible marino | 0.656418 |
| Archivo Zip Comprimido | 0.753491 |
| Archivo Microsoft Excel | 0.761129 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Characteristics of the Built Environment in Relation to Objectively Measured Physical Activity Among Mexican Adults, 2011 - CDC |
The built environment correlates of physical activity are documented in high-income countries but have yet to be studied among Mexican adults. Our objectives were to assess the associations between characteristics of the built environment and physical activity among adults in Cuernavaca, Mexico, and to examine potential moderation by perceived park and neighborhood safety. |
| self-reported physical activity | 0.557004 |
| public bus routes | 0.566655 |
| walkability index | 0.599203 |
| study | 0.55783 |
| high-income countries | 0.729506 |
| weekly physical activity | 0.558094 |
| residential density | 0.630778 |
| home visit | 0.569273 |
| environment correlates | 0.553631 |
| geographic information systems | 0.561673 |
| association | 0.554716 |
| park safety | 0.589305 |
| high crime rates | 0.557622 |
| physical activity domains | 0.554106 |
| transit routes | 0.557601 |
| parks | 0.587714 |
| number | 0.565041 |
| public health implications | 0.552764 |
| 500-m buffer | 0.740484 |
| buffer area/total buffer | 0.594059 |
| moderate-to-vigorous physical activity | 0.590458 |
| Mexican National Institute | 0.554989 |
| total MVPA | 0.800242 |
| US-based walkability index | 0.561286 |
|
| 10-minute bouts | 0.558559 |
| bouts | 0.61303 |
| public health | 0.572592 |
| corresponding 500-m buffer | 0.569901 |
| National Institute | 0.56432 |
| neighborhood safety | 0.558497 |
| low-to-middle income countries | 0.604932 |
| safety perception | 0.587657 |
| Cuernavaca | 0.565712 |
| Mexican adults | 0.562581 |
| physical activity outcome | 0.558799 |
| International Physical Activity | 0.563087 |
| net residential density | 0.621922 |
| 1-km buffer | 0.647318 |
| physical activity | 0.971529 |
| land-use mix | 0.625224 |
| park safety perception | 0.557511 |
| commercial land | 0.55918 |
| environment | 0.598284 |
| leisure-time physical activity | 0.555325 |
| Mexico | 0.563191 |
| linear regression models | 0.578967 |
| linear trend | 0.562041 |
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Tobacco Use Among Middle and High School Students - UnitedStates, 2013 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| Sara M. Kennedy | 0.265382 |
| combustible tobacco | 0.499778 |
| tobacco control programs | 0.3879 |
| Youth Tobacco Survey | 0.48076 |
| RenУЉ A. Arrazola | 0.321006 |
| tobacco | 0.976099 |
| tobacco users | 0.488214 |
| dissolvable tobacco | 0.496665 |
| overall tobacco | 0.365073 |
| comprehensive tobacco control | 0.46154 |
| tobacco product report | 0.403024 |
| tobacco products | 0.898788 |
| cigarettes | 0.285217 |
| combustible tobacco product | 0.435281 |
| Youth Tobacco Survey* | 0.440335 |
| high school-aged youths | 0.280456 |
| nearly half | 0.295311 |
| U.S. middle school | 0.329857 |
| comprehensive tobacco prevention | 0.421543 |
| United States | 0.301963 |
| Drug Administration | 0.26362 |
| noncombustible tobacco | 0.428041 |
| youths | 0.339503 |
| available tobacco products | 0.437324 |
|
| tobacco control outcome | 0.420293 |
| tobacco dependence symptoms | 0.397203 |
| Christopher D. Jones | 0.266202 |
| Linda J. Neff | 0.266104 |
| multiple tobacco products | 0.435856 |
| combustible products | 0.313974 |
| Comprehensive youth tobacco | 0.396949 |
| tobacco product | 0.736665 |
| middle school students | 0.516976 |
| tobacco marketing changes | 0.386676 |
| cigars | 0.302387 |
| high school students | 0.750716 |
| commonly reported tobacco | 0.475642 |
| particularly emerging products | 0.26164 |
| tobacco control policies | 0.420956 |
| e-cigarettes | 0.275819 |
| National Youth Tobacco | 0.558541 |
| U.S. youths | 0.279886 |
| bidis | 0.296126 |
| national prevalence estimates | 0.260833 |
| smokeless tobacco | 0.579631 |
| Combustible tobacco products | 0.45018 |
| non-Hispanic black students | 0.328877 |
| noncombustible tobacco products | 0.427004 |
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Preventing Chronic Disease | Administrative Data Linkage toEvaluate a Quality Improvement Program in Acute Stroke Care,Georgia, 2006-2009 - CDC |
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. |
| hospitals | 0.580762 |
| Georgia Coverdell Acute | 0.558376 |
| ischemic stroke patients | 0.751258 |
| acute stroke care | 0.538418 |
| possible acute stroke | 0.507953 |
| state-based stroke registry | 0.509633 |
| fine-grained record integration | 0.496481 |
| quality improvement | 0.656036 |
| Georgia Hospital Association | 0.522152 |
| chronic disease control | 0.488488 |
| mortality data share | 0.507075 |
| Stroke advocates | 0.486999 |
| mortality data | 0.623041 |
| disease control initiatives | 0.48827 |
| Georgia hospital discharge | 0.532482 |
| Health Stroke Scale | 0.499063 |
| ICD-9 codes | 0.528081 |
| nationwide stroke registry | 0.502955 |
| stroke admission date | 0.512037 |
| chronic disease | 0.512085 |
| stroke symptom onset | 0.504495 |
| female stroke patients | 0.53043 |
| National Acute Stroke | 0.525459 |
| Georgia Department | 0.504339 |
| data linkage | 0.501884 |
|
| stroke patient care | 0.547981 |
| stroke registry program | 0.519124 |
| acute stroke | 0.646252 |
| Acute Stroke Registry | 0.624093 |
| stroke disability | 0.487455 |
| vital records mortality | 0.514268 |
| stroke care | 0.556034 |
| proportional hazard | 0.499587 |
| disease severity | 0.48803 |
| Georgia mortality data | 0.523085 |
| public health | 0.52126 |
| acute stroke patients | 0.573658 |
| hospital discharge data | 0.868383 |
| community-level chronic disease | 0.489223 |
| records mortality data | 0.541071 |
| proportional hazard model | 0.498868 |
| Coverdell Acute Stroke | 0.607298 |
| death data | 0.637007 |
| Cox proportional hazard | 0.496791 |
| stroke admission | 0.556018 |
| Stroke Registry hospitals | 0.552843 |
| Georgia Discharge Data | 0.509795 |
| acute ischemic stroke | 0.956697 |
| hazard ratio | 0.602494 |
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Flu Vaccination Digital Ambassadors Set the Stage for NIVW with Week-Long Blog Relay |
Flu Vaccination Digital Ambassadors Set the Stage for NIVW with Week-Long Blog Relay - CDC |
| total impressions—all | 0.307737 |
| relay activity | 0.376119 |
| Flu Vaccination Digital | 0.843781 |
| contact Julie Yegen | 0.409574 |
| social media posts | 0.805872 |
| Digital Ambassadors Program | 0.428905 |
| collaborative opportunity | 0.276377 |
| CDC partners | 0.320571 |
|
| true relay | 0.409079 |
| CDC’s Flu | 0.350056 |
| partner social media | 0.432668 |
| relay hand-off | 0.40628 |
| Vaccination Digital Ambassadors | 0.819418 |
| individual blog posts | 0.517008 |
| NIVW Blog Relay. | 0.464391 |
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Pregnant Women Living Near the US-Mexico Border |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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