| 622 |
Centers for Disease Control and Prevention |
Html |
en |
September is National Cholesterol Education Month - CDC Features |
Learn what steps you can take to prevent high cholesterol or to reduce your LDL bad cholesterol level. |
| 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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| 719 |
Centers for Disease Control and Prevention |
Html |
en |
Differences Between HIV-Infected Men and Women inAntiretroviral Therapy Outcomes - Six African Countries,2004-2012 |
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. |
| ART program outcomes | 0.504594 |
| ART | 0.824938 |
| new HIV infections | 0.504364 |
| standardized abstraction forms | 0.482568 |
| Health medical records | 0.437355 |
| CУДte d'Ivoire | 0.937565 |
| higher attrition risk | 0.519726 |
| Pediatric AIDS Foundation | 0.486173 |
| African countries | 0.469407 |
| first-line ART regimen | 0.481631 |
| African ART programs | 0.464111 |
| men | 0.693589 |
| MD | 0.470906 |
| ART facilities | 0.486577 |
| national public health | 0.422086 |
| western Africa | 0.427035 |
| CD4 count | 0.467579 |
| southern African cohorts | 0.49533 |
| ART initiation | 0.7454 |
| attrition | 0.75176 |
| World Health Organization | 0.527399 |
| program patient outcomes | 0.433853 |
| Global Health | 0.519078 |
| ART outcomes | 0.422294 |
|
| ART program | 0.529419 |
| male attrition | 0.474627 |
| Tanzania | 0.445641 |
| significant higher attrition | 0.513224 |
| ART medical records | 0.483661 |
| -infected men | 0.430125 |
| ART enrollees | 0.579447 |
| ART regimen | 0.553267 |
| adult men | 0.429265 |
| countries | 0.492186 |
| Glaser Pediatric AIDS | 0.485069 |
| study-eligible ART patients | 0.479865 |
| HIV disease stage | 0.633377 |
| Swaziland | 0.43398 |
| ART program improvement | 0.457769 |
| Behavioral Health Sciences | 0.421081 |
| southern Africa | 0.584578 |
| higher attrition | 0.568352 |
| higher attrition rates | 0.566992 |
| lower rates | 0.473295 |
| eastern Africa | 0.468405 |
| adult ART enrollees | 0.476673 |
| attrition risk | 0.601411 |
|
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| 6764 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - CDC's HIV Prevention Programs: A Comprehensive Approach |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| South African culture | 0.713852 |
| HIV prevention messaging | 0.764032 |
| stigma | 0.529005 |
| endorsement | 0.529484 |
| Biomedically-focused HIV activities | 0.797332 |
| traditional healers | 0.710308 |
| significant role | 0.608767 |
| most-at-risk populations | 0.614529 |
| general population | 0.610667 |
| consistent programs | 0.61699 |
| Content source | 0.607439 |
| HHS | 0.532107 |
| comprehensive approach | 0.629226 |
| government | 0.517879 |
| Notice | 0.519482 |
| Blood Service | 0.619912 |
| treatment services | 0.60734 |
| Province Blood Transfusion | 0.730986 |
| fear | 0.518996 |
| evidence-based behavior change | 0.742025 |
|
| cases | 0.518273 |
| counseling | 0.5176 |
| strategies | 0.520334 |
| South Africans | 0.642456 |
| multiple prevention interventions | 0.751355 |
| testing | 0.51758 |
| prevention messages | 0.617625 |
| safe medical injections | 0.732609 |
| adult male circumcision | 0.729098 |
| difficulty | 0.520575 |
| transfusion-transmitted HIV infection | 0.785958 |
| non-federal site | 0.625538 |
| HIV services | 0.679595 |
| valuable partners | 0.611139 |
| South African National | 0.73282 |
| employees | 0.516889 |
| CDC South Africa | 0.982614 |
| disease-free blood | 0.639199 |
| support | 0.517947 |
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| 8140 |
Centers for Disease Control and Prevention |
Html |
en |
About one in five U.S. adult cigarette smokers have tried an electronic cigarette |
[Title] |
| Office | 0.428962 |
| Centers | 0.435397 |
| study | 0.471498 |
| e-cigarette marketing | 0.549771 |
| adults | 0.587741 |
| large numbers | 0.556646 |
| changes | 0.433123 |
| electronic cigarettes | 0.686052 |
| traditional cigarettes | 0.964368 |
| Research | 0.429871 |
| young people | 0.551078 |
| assistance | 0.428936 |
| percent | 0.541084 |
| MD MPH | 0.558577 |
| products | 0.431527 |
| sexes | 0.44032 |
| Prevention | 0.435342 |
| current smokers | 0.594435 |
| initiation | 0.43364 |
|
| Disease Control | 0.588525 |
| awareness | 0.467337 |
| U.S. DEPARTMENT | 0.554595 |
| non-Hispanic Whites | 0.586035 |
| estimates | 0.437435 |
| Tim McAfee | 0.558185 |
| stories | 0.429365 |
| adult smokers | 0.589465 |
| long-term health | 0.548966 |
| Director Tom Frieden | 0.704903 |
| South | 0.432137 |
| visit www.BeTobaccoFree.gov | 0.551884 |
| e-cigarettes | 0.778806 |
| net public health | 0.672552 |
| users | 0.429335 |
| toxins | 0.434229 |
| visit http://www.cdc.gov/tips | 0.557357 |
| HUMAN SERVICES | 0.554329 |
| information | 0.428237 |
|
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| 8544 |
Centers for Disease Control and Prevention |
Html |
en |
Rapid Implementation of Pulse Oximetry Newborn Screening toDetect Critical Congenital Heart Defects - New Jersey, 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. |
| CCHD screening program | 0.463153 |
| routine screening | 0.443815 |
| data | 0.526102 |
| future aggregate data | 0.390172 |
| Birth Defects | 0.413829 |
| newly mandated screening | 0.468445 |
| aggregate pulse oximetry | 0.485638 |
| Jersey birthing facilities | 0.448798 |
| aggregate screening data | 0.522794 |
| NJDOH | 0.394689 |
| statewide newborn screening | 0.52835 |
| positive screens | 0.519845 |
| facilities screen newborns | 0.399334 |
| universal newborn screening | 0.51549 |
| intensive care unit | 0.400232 |
| oximetry screening results | 0.515998 |
| CCHD screening | 0.505902 |
| pulse oximetry | 0.959784 |
| individual-level screening | 0.43546 |
| live births | 0.393303 |
| New Jersey Dept | 0.419223 |
| New Jersey Birth | 0.390549 |
| positive screening results | 0.735589 |
| newborn screening | 0.608844 |
| data flow | 0.390468 |
|
| birthing facilities | 0.607758 |
| oximetry screening procedures | 0.531476 |
| Uniform Newborn Screening | 0.465733 |
| New Jersey birthing | 0.481617 |
| pulse oximetry surveillance | 0.457193 |
| data collection processes | 0.396688 |
| critical congenital heart | 0.471838 |
| congenital heart disease | 0.445871 |
| licensed birthing facilities | 0.432493 |
| aggregate data reports | 0.432482 |
| neonatal intensive care | 0.441815 |
| statewide CCHD screening | 0.46873 |
| New Jersey Department | 0.396132 |
| staff members | 0.526587 |
| newborns | 0.448085 |
| data collection | 0.411147 |
| New Jersey | 0.816868 |
| newborn screening protocol | 0.531101 |
| Jersey birthing hospitals | 0.404299 |
| hospital staff members | 0.4251 |
| prenatal ultrasound screening | 0.45081 |
| New Jersey data | 0.401251 |
| pulse oximetry screening | 0.802918 |
| relatively low burden | 0.419049 |
|
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| 10011 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Using the Program Sustainability Assessment Tool to Assess and Plan for Sustainability - CDC |
Implementing and growing a public health program that benefits society takes considerable time and effort. To ensure that positive outcomes are maintained over time, program managers and stakeholders should plan and implement activities to build sustainability capacity within their programs. We describe a 3-part sustainability planning process that programs can follow to build their sustainability capacity. |
| Prevention program sustainability | 0.586973 |
| sustainability efforts | 0.56609 |
| program | 0.860486 |
| summary Sustainability Report | 0.614518 |
| sustainability indicators | 0.542774 |
| sustainability planning process | 0.718048 |
| chronic disease program | 0.584026 |
| Public Health Systems | 0.497019 |
| ongoing sustainability assessment | 0.552865 |
| long-term sustainability | 0.566029 |
| sustainability capacity | 0.940747 |
| sample Sustainability Report | 0.569924 |
| PSAT summary Sustainability | 0.624678 |
| program sustainability planning | 0.647056 |
| sustainability scores | 0.55584 |
| 3-part sustainability | 0.564393 |
| sustainability | 0.997386 |
| sustainability measurement tools | 0.58209 |
| St Louis | 0.492778 |
| sustainability factors | 0.53373 |
| sustainability planning | 0.72339 |
| sustainability needs | 0.56274 |
| current sustainability strengths | 0.553979 |
| sustainability results | 0.545014 |
|
| Health Systems Science | 0.492495 |
| program’s sustainability | 0.703037 |
| long-term sustainability efforts | 0.563214 |
| program sustainability capacity | 0.64758 |
| sustainability planning model | 0.557987 |
| Program Sustainability Assessment | 0.745505 |
| priority sustainability areas | 0.560802 |
| program managers | 0.509047 |
| health program capacity | 0.513959 |
| program staff | 0.565211 |
| public health | 0.684792 |
| public health program | 0.595561 |
| Sustainability Assessment Tool | 0.72153 |
| sustainability domains | 0.548488 |
| sustainability planning resources | 0.563963 |
| public health programs | 0.611759 |
| sustainability action planning | 0.627504 |
| program’s capacity | 0.490903 |
| action steps | 0.5598 |
| health department program | 0.494614 |
| Sustainability Report | 0.635598 |
| current sustainability capacity | 0.594095 |
| G. Coalition sustainability | 0.54424 |
| Sustainability Framework | 0.572135 |
|
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| 10870 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A Qualitative Study of Tobacco Dependence Treatment in 19 US Dental Hygiene Programs - CDC |
The US Public Health Service calls for health professionals to provide tobacco dependence counseling for patients. The purpose of this study was to understand how dental hygiene programs make decisions about and provide training for tobacco dependence counseling to help them graduate more fully competent hygienists. |
| tobacco use cessation | 0.577217 |
| tobacco user | 0.447567 |
| TDT competence | 0.425556 |
| tobacco dependence counseling | 0.46238 |
| dental hygiene treatment | 0.398264 |
| TDT competency | 0.407288 |
| Tobacco Cessation | 0.409061 |
| dental hygiene | 0.935297 |
| tobacco | 0.724269 |
| hygiene education programs | 0.479192 |
| tobacco users | 0.408138 |
| health care providers | 0.389666 |
| formal TDT training | 0.452411 |
| health professionals | 0.396657 |
| patients | 0.404445 |
| tobacco dependence training | 0.507004 |
| American Dental Hygienists | 0.409649 |
| fluoride treatment | 0.400412 |
| tobacco dependence treatment | 0.481922 |
| hygiene training programs | 0.438342 |
| M. Dental hygiene | 0.388469 |
| programs | 0.758152 |
| dental schools | 0.392753 |
| dental hygiene mission | 0.391759 |
| students | 0.553657 |
|
| training | 0.614792 |
| dental hygiene students | 0.429112 |
| fluoride therapy training | 0.424364 |
| dental hygiene education | 0.690868 |
| dental hygiene training | 0.45538 |
| dental hygiene competence | 0.400026 |
| patient | 0.414535 |
| tobacco dependence | 0.694904 |
| public health | 0.400363 |
| health care | 0.395446 |
| dental hygiene texts | 0.396012 |
| clinical training students | 0.401984 |
| faculty member | 0.402845 |
| TDT | 0.685291 |
| tooth whitening | 0.489219 |
| clinical training | 0.534035 |
| chair-side tobacco dependence | 0.40584 |
| Public Health Service | 0.39989 |
| dental hygiene program | 0.399418 |
| dental hygiene programs | 0.593651 |
| dental hygiene educators | 0.405883 |
| faculty members | 0.527906 |
| tobacco programs | 0.39948 |
| tobacco champion | 0.452549 |
|
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| 11200 |
Centers for Disease Control and Prevention |
Html |
en |
Diagnosis | Ebola Hemorrhagic Fever |
null |
| detectable levels | 0.651505 |
| patients | 0.37363 |
| typhoid fever | 0.779545 |
| Ebola infection | 0.909831 |
| malaria | 0.401032 |
| blood | 0.363548 |
| public health authorities | 0.936638 |
| Ebola virus | 0.841318 |
|
| Laboratory tests | 0.619375 |
| person | 0.489185 |
| patient | 0.43284 |
| Samples | 0.367765 |
| contact | 0.366885 |
| common diseases | 0.672141 |
| early symptoms | 0.906326 |
|
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| 12556 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips From Former Smokers - Brian's Story |
Smoking is especially dangerous for people who are living with HIV, the virus that can cause AIDS. Brian learned that lesson the hard way, when he had a stroke—a brain attack—at age 43. Over time, smoking and having HIV had led to clogged blood vessels in Brian's neck. In this video from CDC's Tips From Former Smokers campaign, Brian talks about surviving HIV-related medical problems. He regained good health—then nearly lost his life because of smoking.
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/vod.php?id=c103243507a5410aa75683aedab903b320140620100943117 |
| Brian | 0.658455 |
| Smokers | 0.932887 |
|
| CDC | 0.92604 |
| YouTube | 0.871802 |
|
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| 15301 |
Centers for Disease Control and Prevention |
Html |
en |
2011-12 Flu Season |
FluVaxView vaccination coverage 2011-12 Influenza Season - CDC |
| Early Vaccination Coverage | 0.399688 |
| influenza vaccination coverage | 0.474674 |
| Population Early Season | 0.458373 |
| Dashboard | 0.462644 |
| Vaccination Trends | 0.410121 |
| Women Vaccination Coverage | 0.469272 |
| Single Season Report | 0.315815 |
| Season Vaccination Coverage | 0.671612 |
| vaccination coverage | 0.99715 |
| General Population Coverage | 0.431827 |
| Pregnant Women | 0.533648 |
| Key Findings | 0.339313 |
| 2011-12 Report | 0.281486 |
| state-level influenza vaccination | 0.423187 |
| Population Vaccination Coverage | 0.632614 |
| Trend Report | 0.347401 |
| page options Skip | 0.270986 |
| Pregnant Women Vaccination | 0.469833 |
| Season General Population | 0.540529 |
| General Population Vaccination | 0.636168 |
| Influenza Vaccination Distribution | 0.396826 |
| (Flu) | 0.312196 |
| Influenza Types | 0.295164 |
| 2012-13 Report | 0.280287 |
| United States | 0.379498 |
|
| email address | 0.307674 |
| Early Season Vaccination | 0.61718 |
| general population | 0.837533 |
| 2016-17 Trend Report | 0.333232 |
| Search Form Controls | 0.329048 |
| Health Care Personnel | 0.690426 |
| Recent Influenza Vaccination | 0.396266 |
| 2016-17 Report | 0.281171 |
| NIS-Flu Influenza Data | 0.430176 |
| Local Areas | 0.321182 |
| Personnel Flu Vaccination | 0.393971 |
| General Population Place | 0.435505 |
| General Population NHIS | 0.433311 |
| Influenza Season | 0.327244 |
| Seasonal Flu | 0.284403 |
| Internet Panel Survey | 0.296903 |
| Report | 0.412559 |
| Single Season Dashboard | 0.36232 |
| Mid-Season Flu Vaccination | 0.434171 |
| Seasonal Influenza | 0.278053 |
| Nursing Home | 0.289694 |
| 2013-14 Report | 0.308986 |
| Flu Season | 0.312552 |
| Flu Vaccination Coverage | 0.58147 |
|
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