| 604 |
Centers for Disease Control and Prevention |
Html |
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Safe Transport in Emergencies | CDC Features |
September is National Preparedness Month. Read one family’s story to find out how emergency preparedness can affect children with special health care needs. |
| Independent Living Centers | 0.77431 |
| backup plan | 0.687985 |
| different situations | 0.678865 |
| family member | 0.659105 |
| disability services | 0.645813 |
| easy steps | 0.643644 |
| United States concerns | 0.768701 |
| Motor disabilities | 0.651038 |
| similar emergencies | 0.663934 |
| Individual assistance | 0.652253 |
| government agencies | 0.651974 |
| hard time | 0.680224 |
| local transportation | 0.660258 |
| public health emergencies | 0.776037 |
| ice storm | 0.823175 |
| accessible transportation | 0.655501 |
| special health care | 0.998459 |
| individual needs | 0.648404 |
| Cerebral means | 0.675653 |
| reliable car | 0.665776 |
| severe ice storm | 0.80352 |
| recent hurricanes | 0.647695 |
| proper medical attention | 0.794601 |
| non-profit groups | 0.651896 |
|
| reliable transportation | 0.690051 |
| safe environment | 0.662844 |
| pandemic influenza | 0.650594 |
| emergency situation | 0.686933 |
| local community | 0.663773 |
| certain tasks | 0.643173 |
| natural disaster | 0.673563 |
| emergency plan | 0.68063 |
| place | 0.665743 |
| emergency services | 0.655349 |
| Mary | 0.724087 |
| evacuation plans | 0.664209 |
| wheelchair-accessible van | 0.674399 |
| common motor disability | 0.774887 |
| escape plan | 0.669508 |
| quadriplegia cerebral palsy | 0.86656 |
| community organizations | 0.657246 |
| abnormal brain development | 0.775303 |
| transportation | 0.721458 |
| unexpected events | 0.649387 |
| Family Voices | 0.660494 |
| family | 0.67737 |
| major challenges | 0.67449 |
| local fire department | 0.650661 |
|
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| 4830 |
Centers for Disease Control and Prevention |
Html |
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Features and initial assessment of the Italian Behavioral Risk Factor Surveillance System PASSI, 2007-2008 |
null |
| Field Epidemiology Training | 0.451662 |
| National Health Plan | 0.476005 |
| data | 0.514016 |
| public health interventions | 0.53736 |
| PASSI Coordinating Group | 0.509262 |
| PASSI interviewers | 0.487084 |
| PASSI data | 0.504179 |
| public health departments | 0.463315 |
| regional coordinating groups | 0.445954 |
| PASSI d’Argento | 0.470401 |
| public health surveillance | 0.476546 |
| behavioral risk factors | 0.449662 |
| refusal rate | 0.482231 |
| World Health Organization | 0.44528 |
| response rate | 0.544919 |
| ongoing surveillance | 0.441869 |
| Progressi Delle Aziende | 0.445544 |
| PASSI sample | 0.488143 |
| regional PASSI coordinators | 0.506695 |
| National Health | 0.4833 |
| health status | 0.481112 |
| data collection process | 0.474129 |
| health unit staff | 0.456623 |
| PASSI national pool | 0.543227 |
| PASSI results | 0.495912 |
|
| public health agencies | 0.457116 |
| Behavioral Risk Factor | 0.519495 |
| public health policy | 0.46979 |
| local health unit | 0.521494 |
| public health staff | 0.455222 |
| Epidemiology Training Program | 0.450714 |
| health promotion | 0.473998 |
| national coordinating group | 0.525673 |
| National Statistics Institute | 0.546109 |
| Risk Factor Surveillance | 0.543467 |
| regional public health | 0.484698 |
| public health infrastructures | 0.452861 |
| surveillance systems | 0.506736 |
| local health units | 0.672071 |
| public health | 0.985186 |
| PASSI | 0.737224 |
| National Institute | 0.613062 |
| public health actions | 0.473269 |
| Delle Aziende Sanitarie | 0.44554 |
| eligible units | 0.443544 |
| data collection | 0.485183 |
| local public health | 0.477063 |
| PASSI supervisors | 0.486748 |
| recent National Health | 0.481931 |
|
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| 6933 |
Centers for Disease Control and Prevention |
Html |
en |
Sexual Experience and Contraceptive Use Among Female Teens -United States, 1995, 2002, and 2006-2010 |
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. |
| sexual debut | 0.53878 |
| sexually experienced female | 0.37753 |
| effective contraceptive methods | 0.467837 |
| self-reported sexual activity | 0.377465 |
| black teens | 0.430063 |
| highly effective method | 0.637466 |
| injectable contraception | 0.368908 |
| comprehensive approach | 0.371023 |
| effective contraceptive method | 0.424299 |
| sexual activity | 0.464998 |
| National Center | 0.38676 |
| delayed sexual debut | 0.419449 |
| racial/ethnic groups | 0.399095 |
| teen pregnancy | 0.480572 |
| younger teens | 0.435735 |
| older teens | 0.434757 |
| Crystal Pirtle Tyler | 0.411665 |
| reproductive health | 0.491593 |
| relative increase | 0.384761 |
| racial/ethnic disparities | 0.370713 |
| female teens | 0.728272 |
| emergency contraception | 0.394484 |
| continued promotion | 0.368006 |
| experienced female teens | 0.479956 |
| Current contraceptive users | 0.393244 |
|
| condoms | 0.381982 |
| sexually experienced teens | 0.5367 |
| vaginal intercourse | 0.413612 |
| teens | 0.788004 |
| U.S. teen birth | 0.547288 |
| highly effective contraceptive | 0.535016 |
| current sexual activity | 0.371531 |
| long-acting reversible contraception | 0.451408 |
| Family Growth | 0.412394 |
| teen birth rates | 0.427088 |
| intrauterine device | 0.407621 |
| National Survey | 0.403632 |
| highly effective contraТЌceptive | 0.401719 |
| white teens | 0.481296 |
| moderately effective methods | 0.504595 |
| current contraceptive status | 0.379916 |
| females | 0.409461 |
| teen birth rate | 0.485296 |
| teens convenient practice | 0.423403 |
| moderately effective method | 0.441702 |
| increase | 0.415883 |
| female condom | 0.374309 |
| Hispanic teens | 0.50258 |
| highly effective methods | 0.901735 |
|
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| 9300 |
Centers for Disease Control and Prevention |
Html |
es |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0136 |
CDC - Wide Page example description goes here |
| diabetes tipo | 0.445224 |
| Fuerza Aérea | 0.947185 |
|
|
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Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: July 17, 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. |
| Uganda Ministry | 0.471904 |
| Vegas tourist area | 0.445592 |
| percent | 0.33612 |
| Jennifer Sizemore | 0.346357 |
| appropriate management | 0.274013 |
| Nodding Syndrome | 0.599322 |
| BACs | 0.20942 |
| pedestrian blood alcohol | 0.540087 |
| sub-Saharan Africa | 0.282404 |
| northern Uganda | 0.584401 |
| systematic assessment | 0.274521 |
| collision sites | 0.496778 |
| U.S. DEPARTMENT | 0.275011 |
| future studies | 0.271225 |
| probable cases | 0.426336 |
| northeast Las Vegas | 0.44301 |
| Las Vegas | 0.472148 |
| geographic locations | 0.288917 |
| newly developed consensus | 0.420592 |
|
| pedestrian risks | 0.389386 |
| pedestrian death rates | 0.778483 |
| Study results | 0.289005 |
| Clark County | 0.288218 |
| urban areas | 0.289579 |
| cohesive strategy | 0.283999 |
| treatment effectiveness | 0.26794 |
| visitors | 0.26738 |
| pedestrian traffic deaths | 0.586919 |
| public health problem | 0.432414 |
| homeless persons | 0.953388 |
| case definition | 0.269024 |
| Southern Nevada Health | 0.504567 |
| health-care resources | 0.285063 |
| sizemore@snhdmail.org | 0.344691 |
| residents | 0.267233 |
| HUMAN SERVICES | 0.274743 |
| CDC Media Relations | 0.460039 |
| Public Information Officer | 0.481943 |
|
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| 11238 |
Centers for Disease Control and Prevention |
Html |
es |
Informe Anual a la Nación sobre el Estado del Cáncer, 1975-2008 |
Informe Anual a la Nación sobre el Estado del Cáncer, 1975-2008 |
| Nuevos casos | 0.31861 |
| Archivo Apple Quicktime | 0.325152 |
| Archivo RealPlayer | 0.315393 |
| adultos jóvenes | 0.315981 |
| campaña mujeres afroamericanas | 0.338131 |
| Archivo Microsoft PowerPoint | 0.326859 |
| Archivo Adobe PDF | 0.324727 |
| Investigaciones Resúmenes | 0.320701 |
| Estados Unidos | 0.958063 |
| Archivo Microsoft | 0.370728 |
| Archivo Microsoft Word | 0.326612 |
|
| suficiente actividad | 0.315827 |
| cáncer colorrectal | 0.877429 |
| cáncer prevención | 0.401026 |
| Informe Anual | 0.398053 |
| Archivo Zip Comprimido | 0.32495 |
| Archivo Microsoft Excel | 0.324665 |
| vida prevención | 0.317756 |
| Asociación Norteamericana | 0.31589 |
| mediana edad | 0.317458 |
| Comunicación Masiva | 0.315425 |
|
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| 11269 |
Centers for Disease Control and Prevention |
Html |
en |
Progress on Children Eating More Fruit, Not Vegetables - Vital Signs Infographic |
The amount of whole fruit* children, 2-18 years old, ate
increased by 67% from 2003 to 2010 and replaced fruit
juice as the main contributor of fruit to children’s diets.
|
| Graphic image | 0.980671 |
| normal daily activities | 0.478898 |
| fruit | 0.823475 |
| min/day | 0.3207 |
| vegetable consumption | 0.389607 |
| family style | 0.396431 |
| fellow student | 0.486666 |
| school salad bar | 0.452494 |
| mom | 0.343739 |
| Boys ages | 0.631062 |
| vegetables | 0.865923 |
| moderate physical activity | 0.485359 |
| home vegetables | 0.453755 |
| home tips | 0.389398 |
| time period | 0.488908 |
| right chart | 0.393754 |
| Fruit juice intake | 0.478812 |
| amounts | 0.321242 |
| children | 0.396521 |
| student selling fruit | 0.467098 |
| Maya | 0.450403 |
| Girls ages | 0.65755 |
|
| active children | 0.394941 |
| cups | 0.77703 |
| calorie needs | 0.403931 |
| 14-18 | 0.346379 |
| class | 0.365589 |
| vegetable snacking | 0.392975 |
| school store | 0.387414 |
| healthy breakfast | 0.38934 |
| Fig | 0.630972 |
| Text | 0.457193 |
| calories | 0.39157 |
| healthy snack | 0.388836 |
| school garden | 0.379158 |
| 1-1 ½ cups | 0.577641 |
| 2-18 | 0.320393 |
| www.ChooseMyPlate.gov | 0.321129 |
| SOURCE | 0.321147 |
| school lunch | 0.383615 |
| Total fruit consumption | 0.476379 |
| fruit intake | 0.400473 |
| salad bar | 0.466521 |
| USDA | 0.320338 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Visual Communication |
Visuals, such as pictures, drawings, charts, graphs and diagrams, can be effective tools for communicating health information. |
| different ways | 0.636029 |
| main message | 0.618419 |
| charts | 0.45129 |
| graphic displays | 0.631455 |
| lower literacy | 0.667722 |
| diagrams | 0.455669 |
| health information | 0.643278 |
| individuals | 0.44545 |
| tools | 0.450944 |
| pictures | 0.494752 |
| captions | 0.457282 |
| public domain health | 0.811803 |
| presentation | 0.447345 |
|
| graphs | 0.461583 |
| Visual communication | 0.651956 |
| drawings | 0.451367 |
| audiences | 0.455392 |
| speak | 0.458047 |
| decisions | 0.449767 |
| audience | 0.448603 |
| visuals | 0.907408 |
| health messages | 0.637413 |
| People | 0.443424 |
| resources | 0.475638 |
| complex information | 0.645334 |
| clear headings | 0.656897 |
|
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Centers for Disease Control and Prevention |
Html |
en |
NER - Peer-Reviewed Biomonitoring Articles | NNAL |
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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| 13422 |
Centers for Disease Control and Prevention |
Html |
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Housing Insecurity and the Association With Health Outcomesand Unhealthy Behaviors, Washington State, 2011 |
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. |
| Unadjusted prevalence ratios | 0.556188 |
| Disease Epidemiology Supervisor | 0.550145 |
| State Behavioral Risk | 0.612708 |
| poor physical health | 0.627052 |
| daily activity | 0.587143 |
| public health practitioners | 0.620694 |
| Risk Factor Surveillance | 0.611201 |
| state-added ACE module | 0.550023 |
| binge drinking | 0.555855 |
| categorical variables | 0.555864 |
| high school education | 0.552517 |
| health risk behaviors | 0.890739 |
| poor health | 0.600465 |
| social determinants | 0.559114 |
| Housing affordability | 0.554564 |
| health outcomes | 0.559307 |
| current smokers | 0.549658 |
| Disease Control | 0.565105 |
| unadjusted prevalence estimates | 0.557038 |
| High housing costs | 0.57932 |
| demographic measures | 0.558537 |
| state-added Social Context | 0.554181 |
| housing insecurity | 0.994561 |
|
| Housing insecure respondents | 0.641839 |
| state-added BRFSS modules | 0.552488 |
| mental health problems | 0.581411 |
| health insurance coverage | 0.577887 |
| Washington State Behavioral | 0.612176 |
| Epidemic Intelligence Service | 0.587299 |
| Hispanic ethnicity | 0.557366 |
| random-digit–dialed telephone survey | 0.555251 |
| social desirability bias | 0.549847 |
| socioeconomic measures | 0.660556 |
| BRFSS excludes participants | 0.55077 |
| poor mental health | 0.627037 |
| doctor visits | 0.625038 |
| annual household income | 0.54968 |
| complex sampling design | 0.551335 |
| medical care | 0.55551 |
| Washington State Department | 0.587407 |
| Washington State | 0.63292 |
| delay doctor visits | 0.561576 |
| Washington respondents | 0.556863 |
| Behavioral Risk Factor | 0.612481 |
| Washington State BRFSS | 0.564805 |
| fair health status | 0.622129 |
|
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