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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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Seasonal Influenza Vaccine & Total Doses Distributed |
Seasonal flu vaccine: total doses distributed provides a cumulative weekly total of the number of doses of flu vaccine distributed - CDC |
| Influenza Diagnostic Testing | 0.604457 |
| Flu Illness | 0.62333 |
| Vaccine Doses Distributed | 0.693282 |
| Flu Viruses | 0.64904 |
| Flu Vaccines | 0.750509 |
| Prevent Flu | 0.654678 |
| 2016-17 Seasonal Influenza | 0.625935 |
| Influenza Testing Results | 0.62732 |
| seasonal influenza vaccines | 0.656236 |
| Flu Good Health | 0.650039 |
| Influenza Viruses | 0.629506 |
| Seasonal Influenza Vaccine | 0.956155 |
| Quadrivalent Influenza Vaccine | 0.704022 |
| Flu Adults | 0.629384 |
| Flu Activity | 0.625341 |
| Influenza Pandemic Virus | 0.615445 |
| (Flu) | 0.807121 |
| Influenza Types | 0.604608 |
| ) Vaccination | 0.678117 |
| United States Flu | 0.644234 |
| Vaccine Safety Vaccine | 0.651664 |
| Influenza Viruses Types | 0.625949 |
| Flublok Seasonal Influenza | 0.649485 |
| Vaccination Flu Vaccination | 0.669848 |
| High-Dose Seasonal Influenza | 0.650459 |
|
| Weekly U.S. Influenza | 0.605546 |
| Flu Antiviral Drugs | 0.745432 |
| flu vaccine | 0.887193 |
| Influenza Vaccine—Total Doses | 0.766018 |
| Vaccine—Total Doses Distributed | 0.641552 |
| CDC International Flu | 0.640793 |
| Prevent Flu Preventive | 0.643507 |
| Seasonal Flu | 0.669491 |
| Flu Vaccine Recommendation | 0.723069 |
| Flu Treatment | 0.632796 |
| influenza vaccines | 0.682541 |
| Influenza Vaccination Clinic | 0.615864 |
| Flu Complications | 0.615117 |
| 2012-13 Seasonal Influenza | 0.625097 |
| Flu Season Flu | 0.865208 |
| Diagnosis Flu Symptoms | 0.645601 |
| Flu Vaccine Safety | 0.765137 |
| Cell-Based Flu Vaccines | 0.673931 |
| Flu Season Current | 0.658156 |
| Seasonal Influenza Vaccine—Total | 0.765242 |
| Flu Vaccines Work | 0.679469 |
| Influenza Vaccine Doses | 0.861657 |
| Past Flu Seasons | 0.645667 |
| Influenza 2015-2016 Season | 0.624011 |
|
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Advancing and improving Preventing Chronic Disease: Public Health Research, Practice, and Policy |
Welcome to Volume 9 of Preventing Chronic Disease: Public Health Research, Practice, and Policy (PCD). |
| new technology | 0.467259 |
| information technology | 0.470947 |
| original images | 0.46571 |
| community health measures | 0.522717 |
| special issues | 0.463804 |
| production processes | 0.466076 |
| Reuters journal impact | 0.510207 |
| new e-publishing technologies | 0.535985 |
| Disease Control | 0.506735 |
| PCD app | 0.661112 |
| rapidly changing environment | 0.510538 |
| monthly summary | 0.46822 |
| bimonthly issues | 0.46648 |
| public health researchers | 0.537233 |
| reproductive health | 0.469134 |
| PCD staff | 0.660531 |
| PCD | 0.907288 |
| single downloadable file | 0.517077 |
| health promotion interventions | 0.53513 |
| chronic disease | 0.535042 |
| PCD editorial board | 0.71269 |
| increasingly rapid pace | 0.52241 |
| production process | 0.472192 |
| greater breadth | 0.467931 |
| up-to-date information | 0.465182 |
|
| content syndication | 0.46477 |
| broadest possible dissemination | 0.508929 |
| Public Health Research | 0.547935 |
| feed (http://www2c.cdc.gov/podcasts/createrss.asp?t=r&c=6). | 0.513214 |
| pcdeditor@cdc.gov). | 0.462875 |
| higher volume | 0.463836 |
| scientific information | 0.470684 |
| public health | 0.652436 |
| Continuous publication | 0.528586 |
| digital object identifiers | 0.511993 |
| broader range | 0.474051 |
| effective chronic disease | 0.5272 |
| PCD’s visibility | 0.677355 |
| local Web pages | 0.512114 |
| recognition PCD | 0.658319 |
| publication model | 0.471963 |
| specific topics | 0.464589 |
| information formats | 0.468884 |
| Public Health Service | 0.519801 |
| policy makers | 0.46895 |
| new technologies | 0.466384 |
| quality submissions | 0.475255 |
| PCD homepage | 0.67474 |
| articles | 0.47953 |
|
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Where's the sodium? - CDC 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. |
| healthy diet | 0.441209 |
| Agricultural Research Service | 0.528668 |
| National Nutrient Database | 0.527078 |
| thinner slices | 0.439277 |
| high levels | 0.4398 |
| different sodium levels | 0.730381 |
| lower sodium food | 0.700087 |
| sodium solution | 0.690836 |
| restaurant foods | 0.458233 |
| favorite foods | 0.449444 |
| Sodium Consumption | 0.673382 |
| sodium Americans | 0.707689 |
| help reading labels | 0.465652 |
| bread slices | 0.437089 |
| heart disease | 0.473629 |
| words salt | 0.437036 |
| chicken noodle soup | 0.466414 |
| turkey breast luncheon | 0.465768 |
| processed poultry | 0.443326 |
| mg | 0.449015 |
| sodium eaten | 0.702148 |
| National Salt Reduction | 0.461537 |
| sodium increases | 0.734403 |
| lower sodium foods | 0.769021 |
|
| lower sodium choices | 0.734984 |
| pasta dishes | 0.43718 |
| U.S. Dietary Guidelines | 0.466955 |
| similar procurement guidelines | 0.46097 |
| surprising ways | 0.437928 |
| tomato sauce | 0.437525 |
| Sodium Tip Sheet | 0.71297 |
| lowest sodium options | 0.694569 |
| health care dollars | 0.475561 |
| Signs Issue details | 0.463413 |
| lower sodium | 0.793099 |
| Consume Less Sodium | 0.675972 |
| Standard Reference | 0.470317 |
| different types | 0.437405 |
| sodium | 0.924323 |
| sodium options | 0.710167 |
| total sodium content | 0.709951 |
| high blood pressure | 0.536099 |
| vascular diseases | 0.440328 |
| current manufacturer | 0.470269 |
| Nutrition Facts label | 0.526176 |
| cold cuts | 0.437508 |
| sodium people | 0.669588 |
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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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More H3N2v Cases Reported - August 17, 2012 |
More H3N2v Cases Reported, Still Linked to Pig Exposure - CDC |
| influenza | 0.715618 |
| Illinois State Health | 0.48304 |
| variant influenza viruses | 0.639381 |
| Influenza A infection | 0.501185 |
| H3N2v virus infection | 0.713577 |
| Indiana Counties Confirmed | 0.48428 |
| seasonal influenza surveillance | 0.608426 |
| CDC web site | 0.524194 |
| additional detailed characterization | 0.47543 |
| H3N2v Influenza | 0.57474 |
| H3N2v cases | 0.48904 |
| SIV Surveillance Program | 0.491934 |
| additional H3N2-positive submissions | 0.47669 |
| H1N1 pandemic virus | 0.628019 |
| rapid antiviral treatment | 0.481846 |
| Dr. Bresee | 0.495261 |
| pigs | 0.524684 |
| West Virginia | 0.494243 |
| CDC’s Influenza | 0.584809 |
| advanced diagnostic processes | 0.477774 |
| H3N2v virus | 0.970582 |
| case counts | 0.535069 |
| high risk patients | 0.49695 |
| H3N2pM virus | 0.479085 |
|
| U.S. pigs | 0.46597 |
| High Risk Persons | 0.537566 |
| additional cases | 0.443025 |
| pandemic M gene | 0.670746 |
| cases | 0.506264 |
| chronic medical conditions | 0.485747 |
| Swine Disease Information | 0.513165 |
| U.S. swine | 0.455075 |
| Health Services Reports | 0.486933 |
| USDA Swine Influenza | 0.693307 |
| H3N2v case count | 0.541507 |
| Bresee cautions | 0.478338 |
| H3N2v viruses | 0.459507 |
| people | 0.515603 |
| Dr. Joseph Bresee | 0.611654 |
| seasonal influenza illness | 0.600484 |
| new virus | 0.521214 |
| influenza surveillance | 0.610427 |
| swine diagnostic lab | 0.516297 |
| influenza viruses | 0.667999 |
| high risk | 0.749707 |
| USDA web site | 0.503168 |
| main risk factor | 0.514314 |
|
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Social Media Toolkit |
Basic information from CDC about breast cancer. |
| CDC | 0.783701 |
| public health practitioners | 0.467675 |
| health information | 0.583995 |
| CDC YouTube channel | 0.472056 |
| CDC shares | 0.466864 |
| health topics | 0.617693 |
| public health photos | 0.491129 |
| social media tools | 0.563266 |
| science-based health information | 0.494756 |
| social media channels | 0.48911 |
| CDC podcast page | 0.492899 |
| CDC Streaming Health | 0.550607 |
| up-to-date CDC information | 0.533651 |
| health messages | 0.578942 |
| public health partners | 0.626866 |
| Public Health Image | 0.488729 |
| important CDC information | 0.521898 |
| Vital Signs information | 0.582432 |
| current CDC health | 0.576759 |
| valuable public health | 0.472142 |
| public health partner | 0.480948 |
| users | 0.523206 |
| public health events | 0.486287 |
| CDC eHealth profile | 0.471086 |
| Twitter users | 0.482434 |
|
| CDC Text Messaging | 0.470784 |
| content syndication | 0.602276 |
| important public health | 0.512443 |
| Vital Signs | 0.853108 |
| Vital Signs content | 0.486053 |
| CDC’s Content | 0.474259 |
| Health Vital Signs | 0.471088 |
| online video | 0.523321 |
| social media | 0.977952 |
| public health | 0.999119 |
| public health topics | 0.492993 |
| Online video sharing | 0.480088 |
| video sharing | 0.483576 |
| Vital Signs Health | 0.477851 |
| public health images | 0.493751 |
| public health messages | 0.518563 |
| CDC mobile website | 0.50364 |
| CDC Facebook page | 0.527385 |
| social media sites | 0.508616 |
| CDC Vital Signs | 0.607967 |
| CDC content | 0.50953 |
| information | 0.631691 |
| health communication messages | 0.52402 |
| CDC’s health | 0.499826 |
|
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Ethylene Oxide (EtO): Evidence of Carcinogenicity (81-130) |
null |
| Swedish EtO production | 0.543423 |
| ethylene oxide workers | 0.527748 |
| Airborne Ethylene Oxide | 0.487886 |
| EtO area | 0.528577 |
| Health Industry Manufacturers | 0.480646 |
| Ethylene Oxide One-Generation | 0.493974 |
| Industry Manufacturers Association | 0.475092 |
| Ethylene Oxide Two-year | 0.493578 |
| control groups | 0.466194 |
| ethylene dichloride | 0.465414 |
| worker exposure | 0.498918 |
| Ethylene Oxide Production | 0.500069 |
| Ethylene Oxide Containing | 0.492803 |
| NIOSH | 0.471925 |
| EtO exposure | 0.667763 |
| HIMA Report No. | 0.490555 |
| Ethylene Oxide Monitoring | 0.489049 |
| Ethylene Oxide Neurotoxicity | 0.49308 |
| Environmental Protection Agency | 0.484081 |
| EtO production area | 0.544413 |
| experiment EtO | 0.516977 |
| female rats | 0.4742 |
| Ethylene Oxide Administered | 0.493893 |
| carcinogenic potential | 0.46628 |
| EtO vapor | 0.539313 |
|
| EtO concentrations | 0.538131 |
| Reactive Ethylene Derivatives | 0.46085 |
| U.S. Environmental Protection | 0.462665 |
| occupational exposure | 0.480695 |
| Governmental Industrial Hygienists | 0.462195 |
| ethylene oxide | 0.917502 |
| 14C-labelled EtO | 0.521455 |
| ethylene glycol | 0.464026 |
| public health | 0.466976 |
| health care | 0.46435 |
| potential occupational carcinogen | 0.461755 |
| EtO | 0.744487 |
| EtO workers | 0.539415 |
| EtO consumption | 0.533142 |
| Ethylene Oxide Exposures | 0.489176 |
| mononuclear cell leukemia | 0.53934 |
| potential EtO exposure | 0.564476 |
| OSHA standard | 0.477035 |
| ppm | 0.470221 |
| NIOSH Occupational Exposure | 0.461978 |
| airborne EtO | 0.525131 |
| EtO manufacturers | 0.525317 |
| total EtO | 0.526502 |
| Ethylene Oxide Technical | 0.492968 |
|
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Bill: Life Is So Different - Tips From Former Smokers - Video |
Bill started smoking as a teenager—and ignored his doctor's warning that smoking could make his diabetes much worse. In this emotional video from CDC's Tips From Former Smokers campaign, Bill explains how much his life changed. He quit smoking before he turned 40, but not before losing a leg, kidney function, and the sight in one eye. Bill died from heart disease at age 42.
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=b555288d9721c0118d8f7151c760ee7020140211113407971 |
| Smokers | 0.940725 |
| CDC | 0.92604 |
|
| Life | 0.657761 |
| YouTube | 0.867937 |
|
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2010-11 Flu Season |
FluVaxView vaccination coverage 2010-11 Influenza Season - CDC |
| pregnant women | 0.49167 |
| state-level influenza vaccination | 0.959917 |
| influenza vaccination coverage | 0.870837 |
| interactive maps | 0.586957 |
|
| data tables | 0.580202 |
| general population | 0.502807 |
| bar charts | 0.582904 |
| View | 0.356464 |
|
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