| 5176 |
Centers for Disease Control and Prevention |
Html |
en |
South Dakota Activities to Prevent HAIs |
null |
| MPEG | 0.26842 |
| funding | 0.453474 |
| monthly update | 0.797202 |
| email address | 0.964024 |
| different file formats | 0.706107 |
| Affordable Care Act | 0.730645 |
| Epidemiology | 0.373381 |
| recent work | 0.761653 |
|
| PDF | 0.255271 |
| infectious disease | 0.824746 |
| PPT | 0.285468 |
| Laboratory Capacity | 0.815189 |
| Infectious Diseases | 0.842388 |
| DOC | 0.265636 |
| page | 0.32719 |
| ELC | 0.421752 |
|
CLICK HERE |
| 7214 |
Centers for Disease Control and Prevention |
Html |
en |
West Nile Virus Disease and Other Arboviral Diseases -United States, 2011 |
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. |
| WNV neuroinvasive disease | 0.412773 |
| blood donors | 0.225714 |
| LACV neuroinvasive disease | 0.2805 |
| equine encephalitis virus | 0.204523 |
| United States | 0.382772 |
| arboviral disease cases | 0.361103 |
| WNV disease incidence | 0.241048 |
| neuroinvasive disease | 0.789817 |
| human disease cases | 0.257196 |
| La Crosse virus | 0.255625 |
| neuroinvasive arboviral disease | 0.365926 |
| neuroinvasive disease incidence | 0.243814 |
| Eastern equine encephalitis | 0.265542 |
| systemic febrile illness | 0.274079 |
| domestic arboviral diseases | 0.229998 |
| notifiable arboviral diseases | 0.40615 |
| LACV disease cases | 0.31009 |
| veterinary disease cases | 0.25659 |
| neuroinvasive disease cases | 0.459526 |
| national incidence | 0.28391 |
| neuroinvasive wnv disease | 0.27921 |
| nonneuroinvasive disease cases | 0.295232 |
|
| WNV disease cases | 0.294084 |
| JCV disease cases | 0.248301 |
| sporadic cases | 0.211808 |
| tickborne disease cases | 0.237893 |
| arboviral disease | 0.530814 |
| common cause | 0.231773 |
| median age | 0.306594 |
| patients | 0.249363 |
| severe arboviral disease | 0.320739 |
| neuroinvasive disease patients | 0.248282 |
| SLEV disease cases | 0.243788 |
| highest reported rates | 0.229163 |
| neuroinvasive disease case | 0.232066 |
| mosquitoborne disease cases | 0.237585 |
| acute flaccid paralysis | 0.329871 |
| recent arboviral infection | 0.246702 |
| POWV disease cases | 0.289628 |
| West Nile virus | 0.254078 |
| Stephanie J. Yendell | 0.226988 |
| disease cases | 0.900196 |
| illness onset | 0.386654 |
| human arboviral infections | 0.257104 |
|
CLICK HERE |
| 7309 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0039 |
This study examines support resources, support-seeking strategies, support and education needs, and intervention preferences of Aboriginal youth with asthma and their caregivers in an effort to encourage community-wide, health-promoting behaviors. |
| asthma medicine | 0.447263 |
| asthma camp | 0.611636 |
| poor asthma control | 0.456651 |
| ineffective asthma management | 0.479471 |
| caregiver-reported asthma | 0.475993 |
| Mi’kmaq asthma support | 0.618809 |
| asthma support intervention | 0.560305 |
| current asthma | 0.467913 |
| multigenerational asthma camp | 0.474531 |
| community asthma support | 0.573619 |
| asthma attacks | 0.541217 |
| likely asthma trigger | 0.482907 |
| Aboriginal peoples | 0.596328 |
| Future asthma support | 0.520331 |
| asthma support gaps | 0.533464 |
| primary asthma support | 0.531498 |
| asthma | 0.966478 |
| accessible asthma support | 0.520791 |
| asthma trigger | 0.505666 |
| asthma attack | 0.469683 |
| child’s asthma | 0.522124 |
| asthma management | 0.548765 |
| Future asthma interventions | 0.537501 |
| asthma triggers | 0.576726 |
| asthma medication | 0.473783 |
|
| childhood asthma | 0.43571 |
| asthma support personnel | 0.535313 |
| asthma support providers | 0.528352 |
| asthma education strategies | 0.499588 |
| asthma treatment | 0.496792 |
| caregivers | 0.479935 |
| asthma management strategies | 0.490148 |
| 2-day asthma camp | 0.595595 |
| community-based participatory research | 0.456566 |
| community-level asthma support | 0.536676 |
| effective asthma management | 0.481081 |
| asthma education program | 0.47458 |
| asthma intervention preferences | 0.516734 |
| asthma research | 0.510495 |
| asthma diagnosis | 0.48129 |
| asthma support needs | 0.522182 |
| Introduction
Asthma | 0.504169 |
| asthma support | 0.879824 |
| asthma awareness training | 0.501317 |
| Nova Scotia | 0.464087 |
| asthma education | 0.668437 |
| asthma support resources | 0.698376 |
| Asthma support groups | 0.522263 |
| asthma support networks | 0.620759 |
|
CLICK HERE |
| 9429 |
Centers for Disease Control and Prevention |
Html |
es |
Percepciones sobre la diabetes, obstáculos para el control de la enfermedad y necesidades de servicios: un estudio con grupos de enfoque de adultos con diabetes que trabajan en Hawái. |
null |
| Uehara DL | 0.82649 |
| Salud Pública | 0.628035 |
| Tom T | 0.76238 |
|
| Maintain Independence | 0.737613 |
| Chronic Dis | 0.808168 |
|
CLICK HERE |
| 9642 |
Centers for Disease Control and Prevention |
Html |
en |
Launch of the Childhood TB Roadmap - CDC Global Health |
null |
| stool | 0.317998 |
| new Xpert MTB/RIF® | 0.461873 |
| community volunteers | 0.410324 |
| CDC | 0.61735 |
| urine | 0.316466 |
| recent story | 0.404705 |
| 8-month-old baby girl | 0.484607 |
| international organizations | 0.388857 |
| mother | 0.40222 |
| best approach | 0.385905 |
| children | 0.447894 |
| neighbors | 0.3176 |
| Hope’s mom | 0.480436 |
| immediate actions | 0.385994 |
| right tools | 0.381253 |
| weight | 0.333295 |
| commitment | 0.316172 |
| coalitions | 0.318338 |
| available tools | 0.387256 |
| right hands | 0.380332 |
| healthy future | 0.382148 |
| TB patients | 0.735038 |
| better data | 0.386987 |
| CDC’s program | 0.477385 |
| child health services | 0.457883 |
|
| best ways | 0.387323 |
| home village | 0.396257 |
| Childhood TB Roadmap | 0.854571 |
| link | 0.317655 |
| child-friendly collection | 0.400177 |
| patient outcomes | 0.387333 |
| child-friendly treatment regimens | 0.477185 |
| baby hope | 0.700011 |
| CDC’s sponsored-programs | 0.497856 |
| CDC-sponsored community engagement | 0.472622 |
| TB deaths | 0.674121 |
| TB treatment success | 0.698485 |
| deadly disease | 0.389327 |
| slums | 0.32088 |
| simple criteria | 0.384819 |
| Kenya | 0.335631 |
| TB | 0.997593 |
| health center | 0.487628 |
| Government agencies | 0.388908 |
| money | 0.316465 |
| community volunteer | 0.454787 |
| healthcare workers | 0.387957 |
| community health center | 0.478623 |
| family | 0.316158 |
|
CLICK HERE |
| 10355 |
Centers for Disease Control and Prevention |
Html |
en |
2014 West Virginia Chemical Release'Chemical Emergencies |
Information on chemical emergencies and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| 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 |
|
CLICK HERE |
| 12594 |
Centers for Disease Control and Prevention |
Video |
en |
REACH- Heart Healthy -- Choctaw Nation of Oklahoma |
Learn how a healthy heart message was delivered to the Choctaw Nation through a local cooking show.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod2.php?id=6e6e155439188482c1da44fdc8f9f91920130308113523134 |
|
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CLICK HERE |
| 13067 |
Centers for Disease Control and Prevention |
Html |
es |
La perspectiva de los hermanos: La historia de una familiaque vive con el autismo |
Abril es el Mes de Concientización sobre el Autismo. Obtenga más información acerca del rol de los hermanos a través de la historia de esta familia. |
| Archivo Apple Quicktime | 0.385613 |
| particular rol | 0.348967 |
| hermanos mayores nicholas | 0.518398 |
| Archivo Microsoft PowerPoint | 0.396841 |
| Archivo Adobe PDF | 0.382754 |
| distinta manera | 0.345502 |
| campo traviesa | 0.354243 |
| Archivo Microsoft | 0.736485 |
|
| Archivo Microsoft Word | 0.395021 |
| madre kimberly | 0.340686 |
| concurso miss estados | 0.979648 |
| Alexis Wineman | 0.55939 |
| Archivo Zip Comprimido | 0.383485 |
| Miss Estados Unidos | 0.951436 |
| Archivo Microsoft Excel | 0.380591 |
| mejores personas | 0.33208 |
|
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| 13394 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence of Diagnosed and Undiagnosed HIV Infection -United States, 2008-2012 |
H. Irene Hall, PhD1; Qian An, PhD1; Tian Tang, MS2; Ruiguang Song, PhD1; Mi Chen, MS1; Timothy Green, PhD1; Jian Kang, PhD3 (Author affiliations at end of text). |
| National HIV/AIDS Strategy | 0.299994 |
| new HIV infections | 0.465888 |
| high HIV | 0.43891 |
| current HIV testing | 0.405072 |
| HIV infection rates | 0.482239 |
| HIV prevalence estimate | 0.442754 |
| cumulative HIV incidence | 0.423847 |
| number | 0.26965 |
| HIV infections | 0.479072 |
| undiagnosed HIV infection | 0.740537 |
| erroneous HIV diagnosis | 0.44705 |
| percentage | 0.302948 |
| HIV care continuum | 0.412038 |
| jurisdictions | 0.388376 |
| H. Irene Hall | 0.316033 |
| HIV medical care | 0.403551 |
| persons | 0.450808 |
| same-year AIDS diagnoses | 0.269565 |
| numerically stable estimates | 0.448653 |
| same-year HIV | 0.400898 |
| HIV reporting | 0.485609 |
| disproportionately high HIV | 0.402965 |
| human immunodeficiency virus | 0.263196 |
| AIDS cases | 0.272763 |
| AIDS diagnosis | 0.330162 |
|
| United States | 0.288446 |
| HIV spread | 0.38764 |
| HIV prevalence | 0.591937 |
| National HIV Surveillance | 0.449455 |
| undiagnosed HIV prevalence | 0.46437 |
| HIV cases | 0.46245 |
| different jurisdictions | 0.285499 |
| nonsimultaneous HIV | 0.402199 |
| undiagnosed infections | 0.263151 |
| HIV diagnoses | 0.406601 |
| HIV diagnosis | 0.66202 |
| hiv surveillance | 0.453194 |
| HIV transmission | 0.376622 |
| 50 states | 0.265874 |
| New York | 0.362036 |
| HIV incidence | 0.438858 |
| overall HIV prevalence | 0.468038 |
| HIV surveillance data | 0.435041 |
| routine HIV screening | 0.40184 |
| stable HIV incidence | 0.413714 |
| HIV | 0.972707 |
| reference group | 0.30213 |
| HIV testing | 0.473012 |
| HIV infection | 0.827702 |
|
CLICK HERE |
| 14491 |
Centers for Disease Control and Prevention |
Html |
en |
Snacking on Television: A Content Analysis of Adolescents'Favorite Shows |
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. |
| on-screen food-related incidents | 0.665955 |
| food incident | 0.708162 |
| favorite television shows | 0.830216 |
| frequent snacking | 0.688198 |
| character | 0.71839 |
| popular television shows | 0.662955 |
| shows | 0.920117 |
| typical snack foods | 0.677146 |
| meal incidents | 0.744736 |
| unhealthy food items | 0.65027 |
| adult audiences | 0.628357 |
| unhealthy snacking add | 0.754124 |
| material goods | 0.648501 |
| snacks | 0.638855 |
| health behaviors | 0.631873 |
| body mass index | 0.648131 |
| obvious pot belly | 0.641836 |
| youth audience | 0.67126 |
| multilevel regression models | 0.740537 |
| Introduction
Snacking | 0.73513 |
| snack incidents | 0.658371 |
| Closely related shows | 0.628475 |
| meals | 0.643365 |
| entertainment media | 0.63782 |
| favorite shows | 0.678514 |
|
| on-screen behaviors | 0.647969 |
| young people | 0.634541 |
| distinct character-food incidents | 0.646985 |
| characters | 0.933197 |
| television shows | 0.844287 |
| dietary intake | 0.727749 |
| Internet Movie Database | 0.650232 |
| weight status | 0.806115 |
| healthier media environment | 0.665731 |
| unhealthy foods | 0.695588 |
| popular shows | 0.706657 |
| characteristics | 0.642458 |
| food incidents | 0.999682 |
| incidents vs | 0.630739 |
| frequent unhealthy snacking | 0.758952 |
| average weight | 0.627189 |
| unhealthy snacking behaviors | 0.785515 |
| unhealthy eating behaviors | 0.647157 |
| snack foods | 0.71793 |
| screen time | 0.712361 |
| obvious clavicle bones | 0.643821 |
| versus meal incidents | 0.660137 |
| unhealthy snack foods | 0.652158 |
| socioeconomic status | 0.633946 |
|
CLICK HERE |